Integration of AI into a Digital Platform for Sustainability in the Floating Community of Lake Catalão, Amazonas – Brazil

Integration of AI into a Digital Platform for Sustainability in the Floating Community of Lake Catalão, Amazonas – Brazil | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Integration of AI into a Digital Platform for Sustainability in the Floating Community of Lake Catalão, Amazonas – Brazil Ana Lucia Machado, Goreti Marreiros This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8078734/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study explores how the integration of Artificial Intelligence (AI) into a digital platform can foster sustainability within the floating community of Lake Catalão, Amazonas. The research encompasses a socio-environmental diagnosis, technological development, and social inclusion. The methodology combines bibliographic review, surveys, interviews, participant observation, and data analysis, supported by the creation of an integrated database and a publicly accessible website. Findings highlight critical challenges, including inadequate sanitation, unreliable energy supply, and climate-related risks. However, they also reveal strong environmental awareness and active community engagement. The project resulted in the development of nine AI-based prototypes, addressing water quality monitoring, energy efficiency, intelligent waste management, and educational gaming. This research is notable for proposing innovative and participatory solutions that bridge science, technology, and local culture. It holds the potential to transform Lake Catalão into a model of sustainable development and to advance socio-environmental justice in the Amazon region. Figures Figure 1 Figure 2 Figure 3 Figure 4 1. INTRODUCTION Modernity, along with the anthropocentric perspective of relating to nature in a utilitarian manner, has caused numerous damages to the planet. However, in the face of severe environmental crises that have become frequent globally, it is imperative to move from theories to the implementation of practical actions. The concept of eco-development, presented by Sachs ( 1986 ), was later expanded to the concept of sustainable development, which introduces new dimensions beyond the Tripod of Sustainable Development, as noted by Sachs ( 2008 ). New authors have advanced this proposition, such as Gadotti ( 2008 ), who presents a concept of sustainability: "For me, sustainability is the dream of good living. Sustainability is a dynamic balance with others and with the environment; it is harmony between different people." This idea aligns with this research, which focuses on a floating community located in the Amazon Basin. The floating community of Lake Catalão presents a major challenge in terms of sustainability, as it must balance the need for environmental conservation with improving the living conditions of its residents. Nascimento ( 2012 ) corroborates this challenge by highlighting the need for detailed studies on the resilience and recovery capacity of ecosystems. Thus, traditional communities are resilient ecosystems, such as the floating riverside community of Lake Catalão. These communities are considered crucial for biodiversity preservation and sustainability. Riverside communities in the Amazon face major challenges related to sustainability due to their remote location and the dynamic environmental conditions of the region. Recent studies indicate that the adoption of sustainable practices in Amazonian communities can result in significant benefits for both social well-being and ecological integrity (Campos-Silva et al., 2020 ). In this context, the incorporation of sustainable technologies in floating communities can offer innovative solutions to the challenges faced by riverside populations, promoting a balance between socioeconomic development and the preservation of the Amazon ecosystem. However, each proposed innovative solution must be accompanied by implementation alongside the process of education for sustainability. Santos et al. (2023) state that environmental education is essential to minimize anthropocentric actions that are harmful to the environment. The Catalão Floating Community, located in the Amazon region of the state of Amazonas, faces significant challenges related to sustainability. This community, like many others in the region, depends heavily on local natural resources for its subsistence. However, population growth, lack of adequate infrastructure, and unsustainable exploitation of resources have negatively impacted both the environment and the quality of life of residents. This approach aims to create a sustainable model that can be replicated in other floating communities in the Amazon, contributing to the construction of a more sustainable future for the region. The relevance of this approach stems from the urgent need to find innovative and sustainable solutions to the challenges faced by the Catalão Floating Community and similar communities. Preserving biodiversity in the Amazon, guaranteeing the rights and quality of life of local populations, and mitigating the impacts of activities carried out in the community are critical issues that demand attention. Currently, technology has been used to generate more efficient results in the environmental area, for example, in the control and monitoring of water and air quality, in energy generation and consumption, in waste management, among others. Thus, the integration of technologies for data collection and analysis, together with the active participation of residents, has allowed for a more comprehensive understanding of the challenges faced by the community. In addition, this approach will contribute to the development of strategies and solutions tailored to the specific needs of the Catalão Floating Community. The development of this project is justified, first and foremost, by the importance of the Catalão Floating Community as a case study for sustainable community development and technology integration, aiming to minimize its environmental impact, especially in sensitive ecosystems such as lakes and rivers, contributing to socio-environmental preservation. The question to be answered is how the integration of a Floating Community into the pillars of sustainability, and with smart systems, promotes sustainability? The objective of this research was to investigate the potential of technology as a catalyst for sustainability and environmental education in an unconventional context: a floating community in the Amazon. This was achieved by integrating artificial intelligence applications into a digital platform, considered an essential tool for bringing together technology and sustainability in the context in question. To this end, it was necessary to collect and analyze crucial information about local infrastructure, housing patterns, energy use, water use, waste management practices, residents' educational level, environmental awareness, access to technologies, and economic activities. This holistic approach allowed for a deeper understanding of the specific challenges and opportunities of the community, providing a solid foundation for the development of innovative, sustainable solutions tailored to local needs. 2. Sustainability Sustainability is a concept that advocates meeting the needs of the present without compromising the ability of future generations to meet their own needs, according to the report "Our Common Future" (CMMAD, 1987). The three pillars of sustainability proposed by the report, the social, environmental, and economic elements, are equally important. Gadotti ( 2008 ) and Castro and Machado ( 2024 ) corroborate the idea of enabling development that has equally relevant characteristics, namely respect for the environment and human dignity. Therefore, the term adopted throughout the research will be sustainability and not sustainable development, as it emphasizes the synergy of the three elements and not just one dimension. It is important to emphasize that implementing sustainable practices not only benefits the environment but can also bring economic and social benefits to the community, as advocated by Moreira and Manzatto ( 2023 ). Sustainability in the Catalão Floating Community can be achieved through low-carbon construction and operation practices, efficient waste management, environmentally friendly water and sewage treatment systems, and the adoption of energy efficiency and renewable energy principles. The pillars of sustainability presented below were addressed in the research and can promote the following sustainable practices: Energy efficiency: A smart floating community can implement efficient energy systems, such as solar panels or other forms of renewable energy generation, to reduce dependence on fossil fuels and minimize its carbon footprint. Fontinelle et al. ( 2017 ) conducted a technical feasibility analysis. Regarding the adoption of energy efficiency practices, when planning a smart floating community, it is possible to adopt solutions for sustainable mobility, such as hybrid boats, using photovoltaic panels, which have become more competitive in terms of costs and proper recycling, expanding to various applications, according to Oliveira and Walter. (2017), or even a carpooling system, reducing pollutant emissions and promoting a healthier and more sustainable lifestyle. Water resource conservation: Sustainable water resource management is essential for the conservation of water bodies at all levels, according to studies by Machado, Zaneti, and Higuchi ( 2019 ). For a floating community, it is important to implement a device that automatically monitors water quality in real time. The proper collection and treatment of drinking water, the implementation of efficient sewage treatment systems, and raising awareness of the importance and educational actions for the preservation of water resources can be central aspects for sustainability. Quality of life and well-being: A smart floating community can offer green public spaces (floating), gardens with medicinal plants, for example, leisure areas, infrastructure for physical and social activities, promoting the quality of life and well-being of residents. Solid waste management: The incorrect production and disposal of waste, especially plastic, has caused major problems for aquatic life. Awareness-raising activities to reduce waste, control separation, reuse, recycle, and dispose of waste correctly are characteristics of a sustainable environment. Amazonian Biodiversity: The Amazon Rainforest, as well as its ecosystem, is of global importance, given its wealth of species and the crucial role it plays in regulating the climate and maintaining water resources. In addition, the Catalão Floating Community and other similar communities represent a fundamental part of the culture and history of the Amazon region. The appreciation and strengthening of these communities are essential to ensuring social well-being and sustainability. 2.1 Sustainable communities Although applications of the pillars of sustainability have already been presented, Amazonian communities have the capacity to establish their own management systems, adapted to their needs, interests, and capacities, especially since they are in isolated areas far from the instruments of public power. These communities develop their own systems. According to Silva et al. (2022), by establishing partnerships with institutional entities, these communities can receive support, such as greater social and environmental organization, as in the case of the community surveyed. These findings suggest the formation of autonomous relationships with external actors, in contrast to paternalistic and dependent relationships, which can support the development and empowerment of their members in the pursuit of a sustainable community. The concept of sustainable communities seeks to balance economic development with environmental preservation and social well-being. Becoming a sustainable community can be a significant challenge if there are no partners to develop or encourage the adoption of practices that aim to reduce negative environmental impacts, promote resource efficiency, and improve the quality of life of inhabitants (Grydehoj & Kelman, 2016 ). In this context, sharing, exchanges, and alliances are a reality among these riverside communities along the Amazon rivers, which support each other. According to Silva et al. (2022), self-governed systems emerge as an attempt to restrict external interests' access to local resources, protecting their territory. When establishing a relationship between environments and the development model adopted by the community, the environment refers not only to the physical biotic environment, but also to the social and cultural environment. According to Guarim ( 2015 ), sustainability is a process that involves social and economic adjustment using methods and techniques that respect the community and its territory, aiming to preserve and conserve its resources while meeting its basic needs. Thus, these communities are characterized by the diversity of their productive activities, ensuring their survival. A sustainable community is expected to incorporate elements such as renewable energy, efficient waste management, sustainable transportation, biodiversity conservation, and promotion of local cultures. However, it is important to note that pursuing “sustainable" status can sometimes lead to pitfalls, such as investments in inefficient initiatives solely to maintain an ecological image or distraction from more pressing social and environmental problems (Grydehoj & Kelman, 2016 ). Truly sustainable communities should pursue locally contextualized development, potentially focused on climate change adaptation, rather than merely pursuing sustainability status primarily geared toward place marketing and ecotourism (Grydehoj & Kelman, 2016 ). This involves a careful balance between ecological, social, and economic considerations, as well as collaboration between different sectors and stakeholders to promote long-term sustainable practices. 2.2 Technology and its tools for promoting sustainability In the context of information technology, databases are essential tools for the application of Artificial Intelligence (AI) in sustainability (Trindade, Oliveira, 2024 ). AI has been used in environmental projects, mainly in forestry, with Artificial Neural Networks (ANN) and cellular automata (CA) (Reis et al., 2018 ). This research focused on the development of databases for the floating community of Lake Catalão. The databases collect and analyze environmental, social, and economic data (Cruz et al., 2022 ), enabling informed decisions and sustainable practices. In the floating community of Lake Catalão, the following are relevant: a diagnosis of residents, environmental data on water use and quality, and biodiversity; social data on health, education, and work; economic data on resource consumption and production. Data modeling includes relational models with tables and non-relational models for unstructured data. Practical applications involve environmental monitoring with IoT sensors and natural resource management to optimize water and energy use. Artificial Intelligence (AI) and its tools are increasingly being used to promote sustainability in various sectors. AI technologies, such as machine learning, predictive analytics, and robotics, are revolutionizing industries by offering innovative solutions to increase operational efficiency and reduce environmental impact (Silva, 2024; Murugeah, 2024 ). AI applications have reached fields beyond industry, where they improve the use of natural resources. Thus, we can see some applications of AI for sustainability in the energy sector, water efficiency, waste management, and soil recovery, among others. Artificial intelligence (AI) applications play a vital role in the transformation of bioenergy systems, ushering in an era of efficient and sustainable energy solutions (Abdallah, 2020; Nassreddine et al., 2025 ). Artificial intelligence modeling and the IoT improve water efficiency and are applied in innovative irrigation systems to improve water management, predict water needs with high accuracy, and promote sustainable agricultural practices (Bhushan, 2025 ). AI is also contributing significantly to environmental management practices and smart cities (Bibri et al., 2024 ). Digital technologies, such as data automation (DA) and decision support systems (DSS), are improving decision-making in solid waste management, wastewater treatment, and contaminated soil remediation. These analyses help improve operations and resource efficiency, integrate renewable energy sources, ultimately contributing to the reduction of greenhouse gas emissions and promoting sustainable environmental management practices (Khan et al, 2025 ). It is interesting to note that AI is being applied in the development of environmentally friendly electronic products. To be considered sustainable, materials that are degradable, reabsorbable, and compatible with electronic applications should be explored, which can help solve the growing problem of electronic waste. These materials show promise for use in environmental sensors and eco-friendly devices, with potential applications in artificial intelligence and the Internet of Things (Liu et al., 2025 ). AI is helping to address critical sustainability challenges. As these technologies advance and evolve, their role in achieving the Sustainable Development Goals (SDGs) is likely to become even more significant. Regarding AI, sustainability, and the Amazon region, the applications found are shown in the following diagram, Fig. 1 : AI applications focused on the environment diagram. Some of the applications of artificial intelligence (AI) for sustainability, some of which are carried out in the Amazon region, are diverse and promising, with some examples presented in the diagram. In short, AI is being applied in innovative ways for environmental monitoring, biodiversity conservation, and threat prediction in the Amazon, demonstrating great potential to support sustainability efforts in the region. However, it is important that these technologies are developed and applied ethically and in partnership with local communities. 3. METHODOLOGY 3.1 Materials and Methods In terms of its nature, this research is applied in character, as it aims to generate knowledge for practical application, directed at solving specific problems. Regarding its objectives, the research is characterized as descriptive, seeking to characterize the community from the perspective of sustainability. In addition, it adopts the form of data collection and includes research in scientific articles on the subject. The procedures adopted are configured as a case study, according to Gil ( 2019 ), to describe and analyze in depth the activities developed in the Catalão Community. To obtain primary data on residents' perceptions of environmental issues and to identify the main difficulties they faced in their way of life, data collection was carried out in July 2024 and January 2025. The samples consisted of approximately 115 forms, due to the number of families living in the community; however, not all agreed to respond to the form, thus reaching a total of 93 families in the collection. In addition, notes were taken on the daily lives of residents during several visits to the site. Furthermore, a semi-structured interview was conducted with the community leader, who has lived in the area for over 40 years and is the most engaged person in the community. For the application of data collection instruments, the project underwent analysis and approval by the Ethics Committee. To investigate the projects carried out in Lago do Catalão, where the community is located, a search was conducted on Google Scholar, the Capes Journal portal, and the ScienceDirect website, using the keywords: Projects in the Catalão-AM Community; Catalão Community – AM, and Catalão-AM alone. Regarding research on technology and artificial intelligence, the keywords or descriptors were Environmental Project Using Artificial Intelligence; Technologies Applied to Sustainability, researched on the same platforms and organized with the Mendeley tool. Based on the initial results of the forms, the main needs and problems faced by the community were observed. With this in mind, and in partnership with the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD), nine projects were proposed for internships for final-year students of Computer Engineering at the Higher Institute of Engineering of Porto (ISEP) of the Polytechnic Institute of Porto (IPP) in Portugal, who could thus develop projects with the challenge of integrating technology and artificial intelligence with sustainability in order to address the following topics: real-time monitoring of lake water quality, energy efficiency, computer vision recognition of recyclable waste, waste separation and reuse recommendations, and educational content using artificial intelligence, disease recognition and treatment suggestions for plants, a virtual and interactive garden for exchanging and donating medicinal plant seedlings, educational mobile games, a n d a chatbot about the Catalão community and its way of life, which will bring together all the community's information and projects in one place. Thus, multiple methods were employed due to the need to gather as much information as possible in order to chart an appropriate path for greater understanding of the floating community of Catalão Lake for the implementation and application of the research. The research stages followed the following process: diagnosis and mapping, using forms with quantitative and qualitative questions to understand the community's needs. Throughout the process, there was a lack of access to quantitative data from the Brazilian Institute of Geography and Statistics (IBGE) for collecting demographic and socioeconomic data specific to Vila do Catalão, which was limited to the responses on the forms. Content analysis (Bardin, 2016 ) was used to interpret and analyze the qualitative findings, while statistical analysis was applied to interpret the quantitative data. The projects carried out at the site were also listed, and gaps and opportunities for integrating all the data collected were identified. To develop the database, based on the selection of an appropriate technological platform, spreadsheets were generated in Microsoft Excel, the results were integrated, combining qualitative and quantitative findings, and several functional graphs and tables were generated to meet the needs of the community. These were then stored in the DigitalOcean service and finally made available through a website developed specifically to make the results available in a single location and accessible to the public. The Catalão Floating Community can serve as an example for understanding the interaction between human communities and aquatic ecosystems in the Amazon. The projects developed can provide valuable information for sustainable practices and proposals for innovative solutions for climate change adaptability. Emphasis was placed on training residents in the proper use of technologies and interpretation of results, involving the community in all stages of the project to ensure engagement and active participation. 3.2 Characterization of the study area The Catalão Lake Community, located in the municipality of Iranduba, state of Amazonas, Brazil, is situated in a river/lake system at the confluence of the Negro and Solimões-Amazonas rivers, on Xiborena Island, as described by Vale, J. D. (2003). This complex of floating houses is positioned between the coordinates (S 03º10'04", W 59º54'45") and is approximately 3,000 meters from the port of the Centro Econômico de Abastecimento Sociedade Anônima (CEASA) in Manaus, which is about 10 minutes by boat. The floating community of Lago do Catalão is bordered by the Rio Negro to the north and the Rio Solimões-Amazonas to the south, with many lakes and canals, notably the Canal do Xiborena, which connects the two rivers and crosses the entire area, being used for navigation. The location can be seen in Fig. 2 : In general, the Solimões River exerts greater influence for most of the year, and the lake water has white (muddy) characteristics. The surrounding vegetation consists of pastures, riparian forest in the higher areas, and aquatic macrophytes, which are especially important during river flooding, when large banks of macrophytes colonize the region. Approximately 115 families reside in the community, living in 100% floating houses built on logs of Hura crepitans trees of the Euphorbiaceae family, popularly known as Assacu, as described by Souza ( 2020 ), which serve as natural buoys to support the construction of the houses. In the water, the wood lasts for more than three decades. These buildings serve as housing, but also house commercial and tourism activities, such as pirarucu fishing in tanks, schools, churches, and shops. As can be seen in Fig. 3 : The lake is characterized by the inflow of solutes from the Negro and Solimões rivers, which condition the flood pulse. The lake's hydrological balance is closely influenced by these two water bodies, characterizing the lake as a variable mixture of these two chemically distinct major water sources. Lake Catalão has an area of approximately 1.54 km², with an elongated shape (maximum width of 1.5 km and maximum length of 4.5 km). The water in this lake has low oxygenation (2.4 mg/L⁻¹), low pH (ranging from 6 to 7), and electrical conductivity ranging from 22 to 82 µS.cm⁻¹, with the physical and chemical characteristics of the water being most influenced by the Solimões River during the flood period. The average annual rainfall in the study area is approximately 2,280 mm, with the rainy season occurring from December to April and the least rainy month being August. The annual hydrological regime is regular, with flooding in June-July, ebb from August to September, drought between October and November, and a flood period from December to May, with an average annual water level variability of approximately 10 meters. The Catalão Floating Community exemplifies human adaptation to the Amazonian aquatic environment, demonstrating a remarkable ability to adjust to the dry (ebb) and flood phases of the river, and is frequently visited by tourists interested in riverside culture. However, in the last two years, due to worsening climatic events, residents have been directly facing these changes in hydrological conditions, with prolonged periods of drought affecting the availability of resources and the stability of their homes. Figure 4 shows the community during the dry season in 2024. This image presents a contrast: in the background is the soccer field, which community members describe as beautiful and a place for recreation. On the other hand, the dry lake and the house were stuck in the mud. This type of construction is designed so that its base, i.e., the trunk of the Hura crepitans L tree, popularly known as Assacu or Açacu (both spellings are correct), which makes the house float, remains submerged so that it does not deteriorate. Figure 4 also depicts the consequences of climate change, extreme drought, which has occurred in recent years in the Amazon region, showing the exposed trunks, which damage the structure of the houses. 3.3 Data collection To carry out the data collection strategy, the following steps were taken: pre-test phase, which included a preliminary visit to survey the site in May 2024, together with the project advisor. A meeting was held with the community leader, and strategies for applying the forms and conducting interviews were discussed. To implement the aforementioned topics, transportation to the community of Lago do Catalão was arranged using the services of boatmen available at the CEASA Port embarkation and disembarkation terminal, scheduled in advance. After this stage, the project was submitted to the Ethics Committee and approved under n° 7,151,285. A form was created on the Google Forms platform; however, residents were unfamiliar with the tool and did not fill it out, making it necessary to print it and distribute it throughout January 2025 to each family residing in the floating community of Lago do Catalão. Also in July 2024, for analysis and observation of the community's way of life, a playful environmental education activity was carried out, called "The Wishing Well." According to Bardin ( 2016 ), this type of strategy makes it possible to understand data obtained qualitatively and treat it based on qualitative analysis. According to Bardin ( 2016 ), this type of strategy makes it possible to understand data obtained qualitatively and treat it based on content analysis. 4. RESULTS AND DISCUSSION The results of this study are presented in four interrelated sections: the diagnosis of community perception; Lake Catalão as an object of study and projects developed on site; the development of the Integrated Database; and the proposal of technological solutions based on Artificial Intelligence (AI), aiming to answer the central research question on the promotion of sustainability in the floating community of Lake Catalão. 4.1 Socio-environmental aspects of the Catalão Floating Community The analysis of the socio-environmental aspects of the community, combined with environmental perception, was based on data collected from community members who responded to the survey forms. It showed that among the responses found, most residents are female (60%), adults between 18 and 59 years old (84%), elderly people aged 60 and over (14%), and only 2% are under 18 years old, because the questionnaire focused on adult residents in the community. In terms of educational attainment, only 6% consider themselves illiterate, with up to 9 years of schooling (83%), and community members who have started undergraduate or postgraduate studies account for 11% of the total. The presence of a basic education school in the area facilitates educational training for at least 9 years of schooling, as observed in these results. The profession is quite diverse, with 29% being self-employed or small business owners, 22% fishermen, only 4% farmers, 25% homemakers (performing domestic tasks), 6% civil servants, 13% retirees, and 1 physical therapist. Regarding health care, the local health agent was consulted and reported that once a month, the community receives health care (doctor, nursing, and vaccines), 30 community members are hypertensive, and 15 are diabetic, and many in the community still use medicinal plants for health treatment. An analysis of environmental perception is of fundamental importance for a better understanding of the interrelationship between humans and the environment, considering their experiences and expectations. Leff (2001) proposes that environmental perception involves understanding the environment as a social and symbolic construct, not just as a resource. Thus, regarding perceptions of the environment, 16 community members see the environment as nature alone (water, forests, land, and animals) without human presence, while 77 community members have a broader concept, as in addition to nature, they see that the environment can be directly influenced by the human species (everything in nature that can be modified by human action). According to Ruddell et al. (2011), environmental perceptions can be shaped by various sociodemographic factors and local differences. Public perceptions tend to be more aligned with immediate environmental conditions than with more distant ones, suggesting that proximity and direct experience with environmental factors play a key role (Ruddell et al., 2011). Community members also identify environmental problems in their surroundings and are concerned about them, but in an order of priority that is directly related to their basic needs. For example, drought (extreme weather events for two consecutive years) in the lake where they live was identified as the biggest problem, even though they live with a lack of drinking water daily and a lack of basic sanitation, such as wastewater being discharged directly into the lake without any prior treatment. The second biggest problem identified is the constant lack of power, even though there is an electrical grid; transmission is unstable and insufficient. The third problem that stands out is the invasion by other unknown fishermen of the fish stocks in the surrounding lakes, where they earn their daily livelihood. Other environmental problems were pointed out but were not as relevant; these are: water pollution due to lack of sanitation, solid waste disposal, deforestation, and unemployment. Thus, it was observed that there is no distinction between problems that occur in nature and those that occur in their social relations, as the latter are seen as part of their daily lives. Environmental perception, as evidenced in the research, reveals that subjects do not clearly distinguish between problems that occur in nature and those with social origins, such as unemployment, water pollution due to lack of sanitation, inadequate disposal of solid waste, and deforestation. This integrated view is in line with Leff (2001), who proposes an environmental rationality capable of overcoming the fragmentation between society and nature, recognizing that environmental problems are also expressions of social, cultural, and economic crises. Porto- Gonçalves (2006) reinforces this perspective by stating that nature is a constitutive part of social relations and that the environmental crisis reflects the crisis in the ways of organizing life. Guimarães (2004) adds to this by highlighting that environmental perception is socially constructed, mediated by values, experiences, and everyday practices. Understanding environmental perception is fundamental to addressing the challenges of the civilizational crisis, as it reveals how individuals interpret socio-environmental impacts. As pointed out by Miranda, Novaes, and Avelar (2015), this understanding must be accompanied by a renewed environmental ethic that upholds planetary values and promotes responsible actions, which is crucial for building new sustainable habits. Velásquez, Corona, and Pezarico (2020) discuss how science and technology, historically oriented toward the domination of nature, have evolved into a scenario of generating socio-environmental risks. In this context, environmental perception becomes essential to understanding how society interprets these risks and their implications, serving as a basis for critical educational practices and for the construction of socio-environmental alternatives that break with the dominant techno-scientific logic. Thus, environmental perception is not limited to the identification of ecological impacts but involves a critical and contextualized reading of lived reality, where environmental and social problems are intertwined as part of everyday life. However, despite the challenges faced, residents demonstrate a positive perception of the environment, which is linked to a sense of well-being. They value its natural beauty, highlighting three main features: the beauty of the water, the floating houses themselves, and the soccer field. It is worth noting that the soccer field was mentioned by approximately 30% of respondents; it should be noted that this only appears during the dry season, but it represents leisure for the community. Thus, according to the research on environmental and social perception of the riverside way of life, it contributes to the recognition of cultural diversity, traditional practices, and forms of social organization of the floating community of Lake Catalão. This research revealed a critical lack of basic sanitation and infrastructure, despite the high environmental awareness and remarkable adaptability of the community members. The diagnosis highlighted a prioritization of demands related to precarious sanitation, water contamination, and unstable energy supply, which are direct obstacles to improving quality of life. 4.2 Floating community of Lake Catalão, subject of study and projects developed on site The results obtained from the collection of data from published scientific articles proved that Lake Catalão has a direct influence on research carried out on lakes and rivers in areas close to Manaus. Based on bibliographic surveys found in Google Scholar Academic, the Capes Journal portal, and SciELO, using the keywords: Projects in the Catalão-AM Community; Catalão Community – AM, and Catalão-AM alone, 37 projects carried out at Lake Catalão between 2001 and 2024 were found. Table 1 groups the Catalão Lake projects by type of result generated, highlighting recurring patterns and observed impacts, as shown below. Table 1: Projects carried out in the Floating Community of Catalão Lake Scientific production without direct gain to the community 1 Diagnosis of health problems 2 Potential for environmental management 3 Sustainable solutions environmental problems 4 Riverside lifestyle 5 Sustainable fisheries management 6 1 Andrade et al (2001). X X 2 Pimpão, D. M; Martins, D. S., (2008) X X 3 Costa, I. D., E. et al. (2011) X X 4 Castro, N. S., Machado, A. L. S. (2024). X X 5 Ghidini, A. et al (2017) X 6 Pinheiro, L.; Cardoso, A. C.,(2019) X X 7 Lopes, A. (2011). X X 8 Lira, T. de M., Chaves, M. do P. S. R. (2016). X X 9 Santiago, I. N. et al. (2021) X X 10 Ramos, M. F. L et al. (2020) X X 11 Almeida, F. and Melo, S. (2011) X X 12 Caraballo, P.; Forsberg, B.; Leite, R. (2012) X 13 Castro, L. R. C. et al. (2020) X X 14 Bleich, M. E., et al. (2014) X X 15 Leite, R. G., Silva, J. V. V. da, and Freitas, C. E. (2006) X X 16 Shibuya, A., and Ducan, W. P. (2022). X X 17 Monteiro, N. Q., & Machado, A. L. S. (2024). X X X 18 Marinho, R. R., Wachholz, F., and Souza, R. (2019) X X 19 Rocha, S. I.B. (2018) X X X 20 Paes, E., Souza, S.D., and Leite, R.G. (2020). X X 21 Zuchi, N.A. (2023) X X 22 Souza, D.N.F. (2020) X X 23 Brandão, R.G.S., (2023) X X X 24 Serruya, N. Q.M. (2022) X 25 Brito, J. G. de., Alves, L. F., and Espírito Santo, H. M. V.. (2014). X X 26 Quaresma, E. M. (2022) X X X 27 Fontinelle, C. et al (2017) X X 28 Queiroz, M. and Gomes, A. (2020) X X 29 Santos, Fernando Alvarenga dos. 2013. X X 30 Radaelli, A. and Menin, J. (2023) X X X 31 Silva, J. C.I. et al. (2021) X X 32 Sá, P A (2020) X X 33 Menin J. (2024) X X 34 Braz- Mota, Almeida- Val, V. M. F. (2021) X X X 35 Gonçalves, J.Q., 2021. X X 36 Carvalho, G.C.L. et al (2024) X X 37 Melo, S. and Ferreira de A., F. (2009). X X Impact on the community: 1 Ecological and limnological studies with an academic focus; no practical return to the community 2 Identification of water contamination, lack of sanitation, and risks to public health. 3 Contributions to conservation, fishing, and degraded area recovery strategies. 4. Initiatives focused on the circular economy, water treatment, and solar energy. 5. Social, cultural, and spatial analyses of riverside communities and their challenges. 6. Recognition of fishing as an essential activity and proposal for community co-management. The analysis of projects carried out at Lake Catalão reveals a scientific gap, as it was found that most academic projects, although valuable for limnological and ecological knowledge of the lake (Lopes et al., 2011; Ghidini et al., 2017), did not generate effective and direct results to mitigate the socio- environmental challenges of the community, limiting themselves to academic production without articulation with public policies or intervention actions. This disconnect underscores the urgency of applied and participatory science to overcome the dichotomy between knowledge production and its practical applicability (Drummond, 2003). On the other hand, some projects demonstrate an explicit concern with the socio-environmental reality of the Catalão riverside community, addressed by Castro and Machado (2024). Costa et al. (2011) highlight initiatives that address fisheries co-management, photovoltaic system forecasts Fontinelli, 2017, and water treatment with regional products, demonstrating an effort to integrate scientific knowledge with local requirements (Brandão, 2023). Trigo (2025) corroborates with an analysis that these studies point to an emerging trend of valuing sustainability and community autonomy, albeit in small numbers compared to the total number of studies conducted. The recurring mention of precarious sanitary conditions, Monteiro and Machado (2024), water contamination, Ramos, Wachholz, and Silva Neto (2020), and the lack of basic infrastructure reinforces the need for an interdisciplinary and participatory approach in future projects, as presented by Pinheiro and Cardoso (2019). The community of Lago Catalão, although often used as a subject of study, remains on the margins of the concrete benefits of scientific production. This finding calls for a critical review of research paradigms in the Amazon, proposing a science committed to the social and environmental transformation of traditional populations. However, community members recalled socio-environmental projects that directly benefited the community, namely: Amigo das Crianças (Friend of Children), Mercado Verde (Green Market), and Projeto Ambiental da Cooperativa de Barqueiro (Barqueiro Cooperative Environmental Project), as well as a project carried out at Christmas 2024 by the Port Authority. An analysis of the results of the other projects at Lake Catalão reveals a dichotomy between knowledge production and its practical applicability. Overcoming this gap requires strengthening partnerships between academic institutions, government agencies, and local communities, with a view to building integrated and contextualized solutions. Science, in this context, must take an active role in promoting socio-environmental justice and recognizing riverine knowledge as an essential part of building sustainable alternatives for the Amazon region. 4.3 Digital Platform To bridge the applicability gap and strengthen community empowerment, a Digital Platform was developed. This initiative aims to consolidate and democratize access to the information generated by the project. Thus, the data structure (environmental, social, and economic) was designed to integrate qualitative and quantitative findings. The data is collected and stored on the DigitalOcean service. The integration of multiple data sources meets the holistic needs of the community, facilitating research and evidence-based decision-making. Access to the digital platform and project results is publicly available through the website ( www.catalaosustentavel.com .br). The website includes an interaction channel (BLOG) and a chatbot (in the prototyping phase) specifically for community interaction. The initiative democratizes access to information and reinforces the role of science as an agent of social transformation, recognizing riverine communities as active participants in the process (Costa et al. 2020). 4.4 Projects and technological tools developed for the Floating Community To respond concretely and technologically to the diagnosed needs, nine projects were proposed and developed, currently in the prototyping phase, in partnership between academic institutions IFAM-BR and GECAD-ISEP/IPP-PT. These projects demonstrate the integration between the community, sustainability, and technology, validating the potential of AI as a tool to contribute to improving the quality of life in the community, making it the first sustainable floating community on the Amazon. Table 2 below presents the projects that strengthen the link between the diagnosed problem and the solution, i.e., perception versus technology. Table 2: Diagnosed problem and solution Community Challenge - (perception) Technological Solutions (AI) Expected Benefit Droughts: Extreme/Water Risk Vitória Régia: Real-time water quality monitoring system. AI, with water monitoring, contributes directly to climate change adaptation and ensures health safety, stabilizing housing and preventing health risks. Unstable Power Grid Energy Efficiency: Intelligent Automation with Computer Vision. The proposal seeks to quantify and optimize energy consumption through intelligent systems, linking the current shortage to the provision of renewable and stable energy, reinforcing economic and environmental sustainability. Waste Management Automated system for waste identification and separation. EcoCatalão (Circular Economy) Use of computer vision to increase accuracy and efficiency in material recognition and separation, boosting the local circular economy. Education and Culture Guardian of the Amazon I and II: Educational Games; Catalão Dialogues: AI for Cultural Preservation; Virtual Medicinal Garden. Healthy Plants and Sustainability (Computer Vision) Use of AI and digital platforms for social empowerment, appreciation of traditional knowledge, and environmental awareness in an interactive and playful way. The nine projects, currently in the prototyping phase, for full implementation in the floating community of Lake Catalão, depend on securing institutional partnerships and resources for the scalability of the systems, paving the way for the realization of the goal of making Catalão the first sustainable floating community in Amazonas. The development of these technological solutions recognizes the floating community of Lago do Catalão as active participants who are integrated into the pillars of sustainability. 5. CONCLUSION AND FUTURE RECOMMENDATIONS The analysis of socio-environmental aspects and previous scientific interventions in the floating community of Lake Catalão highlights the complexity of the relationship between the riverside way of life and the dynamics of the Amazonian ecosystem. The sociodemographic diagnosis corroborates the heterogeneity of socioeconomic profiles and the lack of infrastructure for essential services, contrasting, however, with robust social capital and a strong sense of territorial belonging expressed by residents. Despite advances in ecological and limnological knowledge provided by studies conducted in the region, there remains a gap in the practical applicability of these findings and their effective integration with the demands and traditional understanding of the local population. The predominance of descriptive studies, devoid of direct benefits to the community, reinforces the urgent need to transition to a participatory and transformative science guided by social demand. The articulation between academic knowledge and specific needs is the vector for promoting sustainability and strengthening community autonomy, with the valuation of traditional knowledge and the inclusion of riverine communities as active agents in the co-creation of solutions being indispensable premises. A cross-sectional analysis of existing projects and a diagnosis of the community's precarious health and infrastructure conditions underscore the need for an interdisciplinary and technologically mediated approach. In this context, the present study addresses the central research question: How can the integration of a floating community into the pillars of sustainability and smart systems promote sustainability? Ongoing support three converging axes: (a) in-depth characterization of the community; (b) diagnosis of needs aligned with the pillars of sustainability (environmental, social, and economic); and (c) development of nine prototypes of intelligent systems (AI) in partnership with GECAD-ISEP. These prototypes represent an innovative effort to link artificial intelligence to social inclusion and improved quality of life, aiming to consolidate the floating community of Lago do Catalão as a model of sustainable community in the Amazon. The implementation of an integrated database, accessible via an interactive digital platform, represents a crucial advance in the democratization of information and increased scientific transparency, legitimizing science as a vector of social transformation, while recognizing riverine communities as stakeholders in the construction of contextualized solutions. Given this context, it is recommended that public policies be strengthened to address the following strategic aspects: Contextualized education: Development of curricula sensitive to the reality of the community and valuing traditional knowledge. Basic Infrastructure: Guarantee of universal and dignified access to basic sanitation, health care, and sustainable energy sources. Local Economy: Promotion of sustainable production chains and mechanisms to encourage the green economy. Participatory Governance: Ensuring effective community participation in natural resource management and research processes. Technological Innovation: Continued support for the implementation and scalability of technologies developed in partnership with the community. It can be concluded that overcoming the dichotomy between scientific production and practical applicability requires an epistemological review of Amazonian research paradigms, promoting an interdisciplinary, participatory, and transformative approach. This orientation is imperative to generate concrete benefits for the floating community of Lake Catalão and contribute to socio-environmental justice, paving the way for a more equitable, sustainable, and inclusive future for riverine populations. Declarations Author Contribution A.M wrote the main manuscript text and GM. suggest the table, and the GM guided this research. All authors reviewed the manuscript. Acknowledgement This research was conducted as part of a postdoctoral project developed in collaboration with the Polytechnic Institute of Porto (ISEP), Portugal, and the Federal Institute of Amazonas (IFAM), Brazil. The authors gratefully acknowledge the Work funded by the Portuguese Foundation for Science and Technology under project doi.org/10.54499/UIDP/00760/2020, Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) at ISEP, for providing a stimulating research environment, essential technical resources, and financial support.We also extend our thanks to the Computer Engineering students at the Higher Institute of Engineering of Porto (ISEP) and, Polytechnic Institute of Porto (IPP), for their valuable contributions to the development of the artificial intelligence prototypes presented in this study. We are particularly grateful to the floating community of Lago do Catalão for their active participation and openness, which were fundamental to the success of this research. Special recognition is given to community leader Ms. Raimunda Ferreira Viana for her pivotal role in facilitating local engagement. Data Availability Data Availability StatementThe datasets generated and analyzed during the current study are available as follows:•Primary data produced during the study are deposited in the Google Drive repository [catalao_revisado], accessible: https://docs.google.com/spreadsheets/d/1aQmtCFYeJlUpYFS63njttuYjh7euZWBp/edit?usp=sharing&ouid=102301537165061614742&rtpof=true&sd=true•Secondary data reused in this study are publicly available from [website catalaosustentavel, accessible at: [www.catalaosustentavel.com.br]. References Abdallah, M., Abu Talib, M., Feroz, S., Nasir, Q., Abdalla, H., & Mahfood, B. (2020). 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International Integralize Scientific. v 5, n 45, Março/2025 ISSN/3085-654X. doi.org/10.63391/5D9DCE Trindade, A. S. C. E. da, & Oliveira, H. P. C. de. (2024). Inteligência Artificial (IA) generativa e competência em informação: Habilidades informacionais necessárias ao uso de ferramentas de IA generativa em demandas informacionais de natureza acadêmica-científica. Perspectivas em Ciência da Informação, 29, e47485. https://doi.org/10.1590/1981-5344/47485 Vale, J. D. (2003). A comunidade flutuante Lago Catalão – Iranduba AM: um tecido urbano sobre as águas. Revista de Morfología Urbana, 7(2), e00114. Disponível em: https://www.academia.edu/43129643 Velásquez Castel, G. R., Corona, H. M. P., & Pezarico, G. (2020). Ciência, técnica e tecnologia: da dominação da natureza à geração de riscos e as alternativas socioambientais. REMEA – Revista Eletrônica do Mestrado em Educação Ambiental, 37(1), 27–46. https://periodicos.furg.br/index.php/remea/issue/view/752 World Commission on Environment and Development. (1987). Our common future. Oxford University Press. Recuperado de https://sustainabledevelopment.un.org/content/documents/5987our-common-future.pdf Xiang, X., Li, Q., Khan, S., & Khalaf, O. I. (2021). Urban water resource management for sustainable environment planning using artificial intelligence techniques. Environmental Impact Assessment Review, 86, 106515. https://doi.org/10.1016/j.eiar.2020.106515 Zuchi, N. A. (2023). Variação do tamanho na assembleia de peixes em um lago de várzea na Amazônia Central (Tese de doutorado, Instituto Nacional de Pesquisas da Amazônia). INPA. https://w2files.solucaoatrio.net.br/atrio/inpa-badpi_upl/THESIS/248/tese_entrega_nagila_zuch_20230604155105286.pdf Additional Declarations No competing interests reported. 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1","display":"","copyAsset":false,"role":"figure","size":94175,"visible":true,"origin":"","legend":"\u003cp\u003eAI applications focused on the environment\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e1 Freitas, K. M, 2025; 2. Xiang, X. et al. (2020), 3 Erdas, M. L et al. (2025), 4 Satizábal-Alarcón, D. A., Suhogusoff, A., and Ferrari, L. C. (2024). Sales, L. (2020). 6 Santos, A. R. dos (2021).\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8078734/v1/47d121e5d1583fba1694ff89.jpeg"},{"id":95795478,"identity":"5fc41e1c-02b5-4fb7-9c34-9d497cc18e04","added_by":"auto","created_at":"2025-11-13 07:43:31","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":96583,"visible":true,"origin":"","legend":"\u003cp\u003eLocation of the community in relation to the cities of Manaus and Iranduba, Amazonas. Source: IBGE Cartographic Database (2021), adapted by Monteiro, 2023\u003c/p\u003e","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8078734/v1/5bfa23e4df9d9b0958371da4.jpeg"},{"id":95818632,"identity":"173fd143-03ed-49df-aef3-f9be19bebbab","added_by":"auto","created_at":"2025-11-13 10:21:05","extension":"jpeg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":446924,"visible":true,"origin":"","legend":"\u003cp\u003eSatellite location of the Vila do Catalão riverside community. Source: Google Maps, Sept. 2024.\u003c/p\u003e","description":"","filename":"floatimage3.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8078734/v1/6aaf1a7eb757325a6fdcbb58.jpeg"},{"id":95818618,"identity":"349aacc8-454a-436a-b0be-e73743d663e3","added_by":"auto","created_at":"2025-11-13 10:21:03","extension":"jpeg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":129932,"visible":true,"origin":"","legend":"\u003cp\u003eDry Season - Climate Event Sep/2023 - Nov/ Viana, R. Oct/2023\u003c/p\u003e","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8078734/v1/a352c3baa1c07ea52d697a89.jpeg"},{"id":97960739,"identity":"2c4c3e30-6ec1-4110-a1bf-c5f22f255e9a","added_by":"auto","created_at":"2025-12-11 08:41:11","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1647553,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8078734/v1/40787eda-44d5-4a86-b1a0-61a34bfa4acc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Integration of AI into a Digital Platform for Sustainability in the Floating Community of Lake Catalão, Amazonas – Brazil","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eModernity, along with the anthropocentric perspective of relating to nature in a utilitarian manner, has caused numerous damages to the planet. However, in the face of severe environmental crises that have become frequent globally, it is imperative to move from theories to the implementation of practical actions. The concept of eco-development, presented by Sachs (\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e1986\u003c/span\u003e), was later expanded to the concept of sustainable development, which introduces new dimensions beyond the Tripod of Sustainable Development, as noted by Sachs (\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). New authors have advanced this proposition, such as Gadotti (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2008\u003c/span\u003e), who presents a concept of sustainability: \"For me, sustainability is the dream of good living. Sustainability is a dynamic balance with others and with the environment; it is harmony between different people.\" This idea aligns with this research, which focuses on a floating community located in the Amazon Basin.\u003c/p\u003e\u003cp\u003eThe floating community of Lake Catal\u0026atilde;o presents a major challenge in terms of sustainability, as it must balance the need for environmental conservation with improving the living conditions of its residents. Nascimento (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2012\u003c/span\u003e) corroborates this challenge by highlighting the need for detailed studies on the resilience and recovery capacity of ecosystems. Thus, traditional communities are resilient ecosystems, such as the floating riverside community of Lake Catal\u0026atilde;o. These communities are considered crucial for biodiversity preservation and sustainability. Riverside communities in the Amazon face major challenges related to sustainability due to their remote location and the dynamic environmental conditions of the region.\u003c/p\u003e\u003cp\u003eRecent studies indicate that the adoption of sustainable practices in Amazonian communities can result in significant benefits for both social well-being and ecological integrity (Campos-Silva et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). In this context, the incorporation of sustainable technologies in floating communities can offer innovative solutions to the challenges faced by riverside populations, promoting a balance between socioeconomic development and the preservation of the Amazon ecosystem. However, each proposed innovative solution must be accompanied by implementation alongside the process of education for sustainability. Santos et al. (2023) state that environmental education is essential to minimize anthropocentric actions that are harmful to the environment.\u003c/p\u003e\u003cp\u003eThe Catal\u0026atilde;o Floating Community, located in the Amazon region of the state of Amazonas, faces significant challenges related to sustainability. This community, like many others in the region, depends heavily on local natural resources for its subsistence. However, population growth, lack of adequate infrastructure, and unsustainable exploitation of resources have negatively impacted both the environment and the quality of life of residents.\u003c/p\u003e\u003cp\u003eThis approach aims to create a sustainable model that can be replicated in other floating communities in the Amazon, contributing to the construction of a more sustainable future for the region. The relevance of this approach stems from the urgent need to find innovative and sustainable solutions to the challenges faced by the Catal\u0026atilde;o Floating Community and similar communities. Preserving biodiversity in the Amazon, guaranteeing the rights and quality of life of local populations, and mitigating the impacts of activities carried out in the community are critical issues that demand attention.\u003c/p\u003e\u003cp\u003eCurrently, technology has been used to generate more efficient results in the environmental area, for example, in the control and monitoring of water and air quality, in energy generation and consumption, in waste management, among others. Thus, the integration of technologies for data collection and analysis, together with the active participation of residents, has allowed for a more comprehensive understanding of the challenges faced by the community. In addition, this approach will contribute to the development of strategies and solutions tailored to the specific needs of the Catal\u0026atilde;o Floating Community.\u003c/p\u003e\u003cp\u003eThe development of this project is justified, first and foremost, by the importance of the Catal\u0026atilde;o Floating Community as a case study for sustainable community development and technology integration, aiming to minimize its environmental impact, especially in sensitive ecosystems such as lakes and rivers, contributing to socio-environmental preservation. The question to be answered is how the integration of a Floating Community into the pillars of sustainability, and with smart systems, promotes sustainability?\u003c/p\u003e\u003cp\u003eThe objective of this research was to investigate the potential of technology as a catalyst for sustainability and environmental education in an unconventional context: a floating community in the Amazon. This was achieved by integrating artificial intelligence applications into a digital platform, considered an essential tool for bringing together technology and sustainability in the context in question. To this end, it was necessary to collect and analyze crucial information about local infrastructure, housing patterns, energy use, water use, waste management practices, residents' educational level, environmental awareness, access to technologies, and economic activities. This holistic approach allowed for a deeper understanding of the specific challenges and opportunities of the community, providing a solid foundation for the development of innovative, sustainable solutions tailored to local needs.\u003c/p\u003e"},{"header":"2. Sustainability","content":"\u003cp\u003eSustainability is a concept that advocates meeting the needs of the present without compromising the ability of future generations to meet their own needs, according to the report \u0026quot;Our Common Future\u0026quot; (CMMAD, 1987). The three pillars of sustainability proposed by the report, the social, environmental, and economic elements, are equally important. Gadotti (\u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e) and Castro and Machado (\u003cspan class=\"CitationRef\"\u003e2024\u003c/span\u003e) corroborate the idea of enabling development that has equally relevant characteristics, namely respect for the environment and human dignity. Therefore, the term adopted throughout the research will be sustainability and not sustainable development, as it emphasizes the synergy of the three elements and not just one dimension. It is important to emphasize that implementing sustainable practices not only benefits the environment but can also bring economic and social benefits to the community, as advocated by Moreira and Manzatto (\u003cspan class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eSustainability in the Catal\u0026atilde;o Floating Community can be achieved through low-carbon construction and operation practices, efficient waste management, environmentally friendly water and sewage treatment systems, and the adoption of energy efficiency and renewable energy principles. The pillars of sustainability presented below were addressed in the research and can promote the following sustainable practices:\u003c/p\u003e\n\u003cp\u003eEnergy efficiency: A smart floating community can implement efficient energy systems, such as solar panels or other forms of renewable energy generation, to reduce dependence on fossil fuels and minimize its carbon footprint. Fontinelle et al. (\u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e) conducted a technical feasibility analysis. Regarding the adoption of energy efficiency practices, when planning a smart floating community, it is possible to adopt solutions for sustainable mobility, such as hybrid boats, using photovoltaic panels, which have become more competitive in terms of costs and proper recycling, expanding to various applications, according to Oliveira and Walter. (2017), or even a carpooling system, reducing pollutant emissions and promoting a healthier and more sustainable lifestyle.\u003c/p\u003e\n\u003cp\u003eWater resource conservation: Sustainable water resource management is essential for the conservation of water bodies at all levels, according to studies by Machado, Zaneti, and Higuchi (\u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e). For a floating community, it is important to implement a device that automatically monitors water quality in real time. The proper collection and treatment of drinking water, the implementation of efficient sewage treatment systems, and raising awareness of the importance and educational actions for the preservation of water resources can be central aspects for sustainability.\u003c/p\u003e\n\u003cp\u003eQuality of life and well-being: A smart floating community can offer green public spaces (floating), gardens with medicinal plants, for example, leisure areas, infrastructure for physical and social activities, promoting the quality of life and well-being of residents.\u003c/p\u003e\n\u003cp\u003eSolid waste management: The incorrect production and disposal of waste, especially plastic, has caused major problems for aquatic life. Awareness-raising activities to reduce waste, control separation, reuse, recycle, and dispose of waste correctly are characteristics of a sustainable environment.\u003c/p\u003e\n\u003cp\u003eAmazonian Biodiversity: The Amazon Rainforest, as well as its ecosystem, is of global importance, given its wealth of species and the crucial role it plays in regulating the climate and maintaining water resources. In addition, the Catal\u0026atilde;o Floating Community and other similar communities represent a fundamental part of the culture and history of the Amazon region. The appreciation and strengthening of these communities are essential to ensuring social well-being and sustainability.\u003c/p\u003e\n\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003e2.1 Sustainable communities\u003c/h2\u003e\n \u003cp\u003eAlthough applications of the pillars of sustainability have already been presented, Amazonian communities have the capacity to establish their own management systems, adapted to their needs, interests, and capacities, especially since they are in isolated areas far from the instruments of public power. These communities develop their own systems. According to Silva et al. (2022), by establishing partnerships with institutional entities, these communities can receive support, such as greater social and environmental organization, as in the case of the community surveyed. These findings suggest the formation of autonomous relationships with external actors, in contrast to paternalistic and dependent relationships, which can support the development and empowerment of their members in the pursuit of a sustainable community.\u003c/p\u003e\n \u003cp\u003eThe concept of sustainable communities seeks to balance economic development with environmental preservation and social well-being. Becoming a sustainable community can be a significant challenge if there are no partners to develop or encourage the adoption of practices that aim to reduce negative environmental impacts, promote resource efficiency, and improve the quality of life of inhabitants (Grydehoj \u0026amp; Kelman, \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). In this context, sharing, exchanges, and alliances are a reality among these riverside communities along the Amazon rivers, which support each other. According to Silva et al. (2022), self-governed systems emerge as an attempt to restrict external interests\u0026apos; access to local resources, protecting their territory.\u003c/p\u003e\n \u003cp\u003eWhen establishing a relationship between environments and the development model adopted by the community, the environment refers not only to the physical biotic environment, but also to the social and cultural environment. According to Guarim (\u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e), sustainability is a process that involves social and economic adjustment using methods and techniques that respect the community and its territory, aiming to preserve and conserve its resources while meeting its basic needs. Thus, these communities are characterized by the diversity of their productive activities, ensuring their survival.\u003c/p\u003e\n \u003cp\u003eA sustainable community is expected to incorporate elements such as renewable energy, efficient waste management, sustainable transportation, biodiversity conservation, and promotion of local cultures. However, it is important to note that pursuing \u0026ldquo;sustainable\u0026quot; status can sometimes lead to pitfalls, such as investments in inefficient initiatives solely to maintain an ecological image or distraction from more pressing social and environmental problems (Grydehoj \u0026amp; Kelman, \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003eTruly sustainable communities should pursue locally contextualized development, potentially focused on climate change adaptation, rather than merely pursuing sustainability status primarily geared toward place marketing and ecotourism (Grydehoj \u0026amp; Kelman, \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). This involves a careful balance between ecological, social, and economic considerations, as well as collaboration between different sectors and stakeholders to promote long-term sustainable practices.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003e2.2 Technology and its tools for promoting sustainability\u003c/h2\u003e\n \u003cp\u003eIn the context of information technology, databases are essential tools for the application of Artificial Intelligence (AI) in sustainability (Trindade, Oliveira, \u003cspan class=\"CitationRef\"\u003e2024\u003c/span\u003e). AI has been used in environmental projects, mainly in forestry, with Artificial Neural Networks (ANN) and cellular automata (CA) (Reis et al., \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). This research focused on the development of databases for the floating community of Lake Catal\u0026atilde;o. The databases collect and analyze environmental, social, and economic data (Cruz et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), enabling informed decisions and sustainable practices. In the floating community of Lake Catal\u0026atilde;o, the following are relevant: a diagnosis of residents, environmental data on water use and quality, and biodiversity; social data on health, education, and work; economic data on resource consumption and production. Data modeling includes relational models with tables and non-relational models for unstructured data. Practical applications involve environmental monitoring with IoT sensors and natural resource management to optimize water and energy use.\u003c/p\u003e\n \u003cp\u003eArtificial Intelligence (AI) and its tools are increasingly being used to promote sustainability in various sectors. AI technologies, such as machine learning, predictive analytics, and robotics, are revolutionizing industries by offering innovative solutions to increase operational efficiency and reduce environmental impact (Silva, 2024; Murugeah, \u003cspan class=\"CitationRef\"\u003e2024\u003c/span\u003e). AI applications have reached fields beyond industry, where they improve the use of natural resources. Thus, we can see some applications of AI for sustainability in the energy sector, water efficiency, waste management, and soil recovery, among others.\u003c/p\u003e\n \u003cp\u003eArtificial intelligence (AI) applications play a vital role in the transformation of bioenergy systems, ushering in an era of efficient and sustainable energy solutions (Abdallah, 2020; Nassreddine et al., \u003cspan class=\"CitationRef\"\u003e2025\u003c/span\u003e). Artificial intelligence modeling and the IoT improve water efficiency and are applied in innovative irrigation systems to improve water management, predict water needs with high accuracy, and promote sustainable agricultural practices (Bhushan, \u003cspan class=\"CitationRef\"\u003e2025\u003c/span\u003e). AI is also contributing significantly to environmental management practices and smart cities (Bibri et al., \u003cspan class=\"CitationRef\"\u003e2024\u003c/span\u003e). Digital technologies, such as data automation (DA) and decision support systems (DSS), are improving decision-making in solid waste management, wastewater treatment, and contaminated soil remediation. These analyses help improve operations and resource efficiency, integrate renewable energy sources, ultimately contributing to the reduction of greenhouse gas emissions and promoting sustainable environmental management practices (Khan et al, \u003cspan class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003eIt is interesting to note that AI is being applied in the development of environmentally friendly electronic products. To be considered sustainable, materials that are degradable, reabsorbable, and compatible with electronic applications should be explored, which can help solve the growing problem of electronic waste. These materials show promise for use in environmental sensors and eco-friendly devices, with potential applications in artificial intelligence and the Internet of Things (Liu et al., \u003cspan class=\"CitationRef\"\u003e2025\u003c/span\u003e). AI is helping to address\u003c/p\u003e\n \u003cp\u003ecritical sustainability challenges. As these technologies advance and evolve, their role in achieving the Sustainable Development Goals (SDGs) is likely to become even more significant. Regarding AI, sustainability, and the Amazon region, the applications found are shown in the following diagram, Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e: AI applications focused on the environment diagram.\u003c/p\u003e\n \u003cp\u003eSome of the applications of artificial intelligence (AI) for sustainability, some of which are carried out in the Amazon region, are diverse and promising, with some examples presented in the diagram. In short, AI is being applied in innovative ways for environmental monitoring, biodiversity conservation, and threat prediction in the Amazon, demonstrating great potential to support sustainability efforts in the region. However, it is important that these technologies are developed and applied ethically and in partnership with local communities.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"3. METHODOLOGY","content":"\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Materials and Methods\u003c/h2\u003e\u003cp\u003eIn terms of its nature, this research is applied in character, as it aims to generate knowledge for practical application, directed at solving specific problems. Regarding its objectives, the research is characterized as descriptive, seeking to characterize the community from the perspective of sustainability. In addition, it adopts the form of data collection and includes research in scientific articles on the subject. The procedures adopted are configured as a case study, according to Gil (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), to describe and analyze in depth the activities developed in the Catal\u0026atilde;o Community.\u003c/p\u003e\u003cp\u003eTo obtain primary data on residents' perceptions of environmental issues and to identify the main difficulties they faced in their way of life, data collection was carried out in July 2024 and January 2025. The samples consisted of approximately 115 forms, due to the number of families living in the community; however, not all agreed to respond to the form, thus reaching a total of 93 families in the collection. In addition, notes were taken on the daily lives of residents during several visits to the site. Furthermore, a semi-structured interview was conducted with the community leader, who has lived in the area for over 40 years and is the most engaged person in the community. For the application of data collection instruments, the project underwent analysis and approval by the Ethics Committee.\u003c/p\u003e\u003cp\u003eTo investigate the projects carried out in Lago do Catal\u0026atilde;o, where the community is located, a search was conducted on Google Scholar, the Capes Journal portal, and the ScienceDirect website, using the keywords: Projects in the Catal\u0026atilde;o-AM Community; Catal\u0026atilde;o Community \u0026ndash; AM, and Catal\u0026atilde;o-AM alone. Regarding research on technology and artificial intelligence, the keywords or descriptors were Environmental Project Using Artificial Intelligence; Technologies Applied to Sustainability, researched on the same platforms and organized with the Mendeley tool.\u003c/p\u003e\u003cp\u003eBased on the initial results of the forms, the main needs and problems faced by the community were observed. With this in mind, and in partnership with the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD), nine projects were proposed for internships for final-year students of Computer Engineering at the Higher Institute of Engineering of Porto (ISEP) of the Polytechnic Institute of Porto (IPP) in Portugal, who could thus develop projects with the challenge of integrating technology and artificial intelligence with sustainability in order to address the following topics: real-time monitoring of lake water quality, energy efficiency, computer vision recognition of recyclable waste, waste separation and reuse recommendations, and educational content using artificial intelligence, disease recognition and treatment suggestions for plants, a virtual and interactive garden for exchanging and donating medicinal plant seedlings, educational mobile games, a n d a chatbot about the Catal\u0026atilde;o community and its way of life, which will bring together all the community's information and projects in one place. Thus, multiple methods were employed due to the need to gather as much information as possible in order to chart an appropriate path for greater understanding of the floating community of Catal\u0026atilde;o Lake for the implementation and application of the research.\u003c/p\u003e\u003cp\u003eThe research stages followed the following process: diagnosis and mapping, using forms with quantitative and qualitative questions to understand the community's needs. Throughout the process, there was a lack of access to quantitative data from the Brazilian Institute of Geography and Statistics (IBGE) for collecting demographic and socioeconomic data specific to Vila do Catal\u0026atilde;o, which was limited to the responses on the forms. Content analysis (Bardin, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) was used to interpret and analyze the qualitative findings, while statistical analysis was applied to interpret the quantitative data. The projects carried out at the site were also listed, and gaps and opportunities for integrating all the data collected were identified.\u003c/p\u003e\u003cp\u003eTo develop the database, based on the selection of an appropriate technological platform, spreadsheets were generated in Microsoft Excel, the results were integrated, combining qualitative and quantitative findings, and several functional graphs and tables were generated to meet the needs of the community. These were then stored in the DigitalOcean service and finally made available through a website developed specifically to make the results available in a single location and accessible to the public.\u003c/p\u003e\u003cp\u003eThe Catal\u0026atilde;o Floating Community can serve as an example for understanding the interaction between human communities and aquatic ecosystems in the Amazon. The projects developed can provide valuable information for sustainable practices and proposals for innovative solutions for climate change adaptability. Emphasis was placed on training residents in the proper use of technologies and interpretation of results, involving the community in all stages of the project to ensure engagement and active participation.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Characterization of the study area\u003c/h2\u003e\u003cp\u003eThe Catal\u0026atilde;o Lake Community, located in the municipality of Iranduba, state of Amazonas, Brazil, is situated in a river/lake system at the confluence of the Negro and Solim\u0026otilde;es-Amazonas rivers, on Xiborena Island, as described by Vale, J. D. (2003). This complex of floating houses is positioned between the coordinates (S 03\u0026ordm;10'04\", W 59\u0026ordm;54'45\") and is approximately 3,000 meters from the port of the Centro Econ\u0026ocirc;mico de Abastecimento Sociedade An\u0026ocirc;nima (CEASA) in Manaus, which is about 10 minutes by boat. The floating community of Lago do Catal\u0026atilde;o is bordered by the Rio Negro to the north and the Rio Solim\u0026otilde;es-Amazonas to the south, with many lakes and canals, notably the Canal do Xiborena, which connects the two rivers and crosses the entire area, being used for navigation. The location can be seen in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e2\u003c/span\u003e:\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIn general, the Solim\u0026otilde;es River exerts greater influence for most of the year, and the lake water has white (muddy) characteristics. The surrounding vegetation consists of pastures, riparian forest in the higher areas, and aquatic macrophytes, which are especially important during river flooding, when large banks of macrophytes colonize the region.\u003c/p\u003e\u003cp\u003eApproximately 115 families reside in the community, living in 100% floating houses built on logs of \u003cem\u003eHura crepitans\u003c/em\u003e trees of the Euphorbiaceae family, popularly known as Assacu, as described by Souza (\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), which serve as natural buoys to support the construction of the houses. In the water, the wood lasts for more than three decades. These buildings serve as housing, but also house commercial and tourism activities, such as pirarucu fishing in tanks, schools, churches, and shops. As can be seen in Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e3\u003c/span\u003e:\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe lake is characterized by the inflow of solutes from the Negro and Solim\u0026otilde;es rivers, which condition the flood pulse. The lake's hydrological balance is closely influenced by these two water bodies, characterizing the lake as a variable mixture of these two chemically distinct major water sources. Lake Catal\u0026atilde;o has an area of approximately 1.54 km\u0026sup2;, with an elongated shape (maximum width of 1.5 km and maximum length of 4.5 km). The water in this lake has low oxygenation (2.4 mg/L⁻\u0026sup1;), low pH (ranging from 6 to 7), and electrical conductivity ranging from 22 to 82 \u0026micro;S.cm⁻\u0026sup1;, with the physical and chemical characteristics of the water being most influenced by the Solim\u0026otilde;es River during the flood period.\u003c/p\u003e\u003cp\u003eThe average annual rainfall in the study area is approximately 2,280 mm, with the rainy season occurring from December to April and the least rainy month being August. The annual hydrological regime is regular, with flooding in June-July, ebb from August to September, drought between October and November, and a flood period from December to May, with an average annual water level variability of approximately 10 meters. The Catal\u0026atilde;o Floating Community exemplifies human adaptation to the Amazonian aquatic environment, demonstrating a remarkable ability to adjust to the dry (ebb) and flood phases of the river, and is frequently visited by tourists interested in riverside culture. However, in the last two years, due to worsening climatic events, residents have been directly facing these changes in hydrological conditions, with prolonged periods of drought affecting the availability of resources and the stability of their homes. Figure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e4\u003c/span\u003e shows the community during the dry season in 2024.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThis image presents a contrast: in the background is the soccer field, which community members describe as beautiful and a place for recreation. On the other hand, the dry lake and the house were stuck in the mud. This type of construction is designed so that its base, i.e., the trunk of \u003cem\u003ethe Hura crepitans L\u003c/em\u003e tree, popularly known as Assacu or A\u0026ccedil;acu (both spellings are correct), which makes the house float, remains submerged so that it does not deteriorate. Figure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e4\u003c/span\u003e also depicts the consequences of climate change, extreme drought, which has occurred in recent years in the Amazon region, showing the exposed trunks, which damage the structure of the houses.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Data collection\u003c/h2\u003e\u003cp\u003eTo carry out the data collection strategy, the following steps were taken: pre-test phase, which included a preliminary visit to survey the site in May 2024, together with the project advisor. A meeting was held with the community leader, and strategies for applying the forms and conducting interviews were discussed. To implement the aforementioned topics, transportation to the community of Lago do Catal\u0026atilde;o was arranged using the services of boatmen available at the CEASA Port embarkation and disembarkation terminal, scheduled in advance. After this stage, the project was submitted to the Ethics Committee and approved under n\u0026deg; 7,151,285.\u003c/p\u003e\u003cp\u003eA form was created on the Google \u003cem\u003eForms\u003c/em\u003e platform; however, residents were unfamiliar with the tool and did not fill it out, making it necessary to print it and distribute it throughout January 2025 to each family residing in the floating community of Lago do Catal\u0026atilde;o. Also in July 2024, for analysis and observation of the community's way of life, a playful environmental education activity was carried out, called \"The Wishing Well.\" According to Bardin (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), this type of strategy makes it possible to understand data obtained qualitatively and treat it based on qualitative analysis. According to Bardin (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), this type of strategy makes it possible to understand data obtained qualitatively and treat it based on content analysis.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. RESULTS AND DISCUSSION","content":"\u003cp\u003eThe results of this study are presented in four interrelated sections: the diagnosis of community perception; Lake Catal\u0026atilde;o as\u0026nbsp;an object of study and projects developed on site; the development of the Integrated Database; and the proposal of technological solutions based on Artificial Intelligence (AI), aiming to answer the central research question on the promotion of sustainability in the floating community of Lake Catal\u0026atilde;o.\u003c/p\u003e\n\u003ch2\u003e4.1 Socio-environmental aspects of the Catal\u0026atilde;o Floating Community\u003c/h2\u003e\n\u003cp\u003eThe analysis of the socio-environmental aspects of the community, combined with environmental perception, was based on data collected from community members who responded to the survey forms. It showed that among the responses found, most residents are female (60%), adults between 18 and 59 years old (84%), elderly people aged 60 and over (14%), and only 2% are under 18 years old, because the questionnaire focused on adult residents in the community. In terms of educational attainment, only 6% consider themselves illiterate, with up to 9 years of schooling (83%), and community members who have started undergraduate or postgraduate studies account for 11% of the total. The presence of a basic education school in the area facilitates educational training for at least 9 years of schooling,\u0026nbsp;as\u0026nbsp;observed in these results.\u003c/p\u003e\n\u003cp\u003eThe profession is quite diverse, with 29% being self-employed or small business owners, 22% fishermen, only 4% farmers, 25% homemakers (performing domestic tasks), 6% civil servants, 13% retirees, and 1 physical therapist. Regarding health care, the local health agent was consulted and reported that once a month, the community receives health care (doctor, nursing, and vaccines), 30 community members are hypertensive, and 15 are diabetic, and many in the community still use medicinal plants for health treatment.\u003c/p\u003e\n\u003cp\u003eAn analysis of environmental perception is of fundamental importance for a better understanding of the interrelationship between humans and the environment, considering their experiences and expectations. Leff (2001) proposes that environmental perception involves understanding the environment as a social and symbolic construct, not just as a resource. Thus, regarding perceptions of the environment, 16 community members see the environment as nature alone (water, forests, land, and animals) without human presence, while 77 community members have a broader concept, as in addition to nature, they see that the environment can be directly influenced by the human species (everything in nature that can be modified by human action). According to Ruddell et al. (2011), environmental perceptions can be shaped by various sociodemographic factors and local differences. Public perceptions tend to be more aligned with immediate environmental conditions than with more distant ones, suggesting that proximity and direct experience with environmental factors play a key role (Ruddell et al., 2011).\u003c/p\u003e\n\u003cp\u003eCommunity members also identify environmental problems in their surroundings and are concerned about them, but in an order of priority that is directly related to their basic needs. For example, drought (extreme weather events for two consecutive years) in the lake where they live was identified as the biggest problem, even though they live with a lack of drinking water daily and a lack of basic sanitation, such as wastewater being discharged directly into the lake without any prior treatment. The second biggest problem identified is the constant lack of power, even though there is an electrical grid; transmission is unstable and insufficient. The third problem that stands out is the invasion by other unknown fishermen of the fish stocks in the surrounding lakes, where they earn their daily livelihood. Other environmental problems were pointed out but were not as relevant; these are: water pollution due to lack of sanitation, solid waste disposal, deforestation, and unemployment. Thus, it was observed that there is no distinction between problems that occur in nature and those that occur in their social relations, as the latter are seen as part of their daily lives.\u003c/p\u003e\n\u003cp\u003eEnvironmental perception, as evidenced in the research, reveals that subjects do not clearly distinguish between problems that occur in nature and \u0026nbsp; \u0026nbsp; \u0026nbsp;those with social origins, such as unemployment, water pollution due to lack of sanitation, inadequate disposal of solid waste, and deforestation. This integrated view is in line with Leff (2001), who proposes an environmental rationality capable of overcoming the fragmentation between society and nature, recognizing that environmental problems are also expressions of social, cultural, and economic crises. Porto- Gon\u0026ccedil;alves (2006) reinforces this perspective by stating that nature is a constitutive part of social relations and that the environmental crisis reflects the crisis in the ways of organizing life. Guimar\u0026atilde;es (2004) adds to this by highlighting that environmental perception is socially constructed, mediated by values, experiences, and everyday practices.\u003c/p\u003e\n\u003cp\u003eUnderstanding environmental perception is fundamental to addressing the challenges of the civilizational crisis, as it reveals how individuals interpret socio-environmental impacts. As pointed out by Miranda, Novaes, and Avelar (2015), this understanding must be accompanied by a renewed environmental ethic that upholds planetary values and promotes responsible actions, which is crucial for building new sustainable habits. Vel\u0026aacute;squez, Corona, and Pezarico (2020) discuss how science and technology, historically oriented toward the domination of nature, have evolved into a scenario of generating socio-environmental risks. In this context, environmental perception becomes essential to understanding how society interprets these risks and their implications, serving as a basis for critical educational practices and for the construction of socio-environmental alternatives that break with the dominant techno-scientific logic. Thus, environmental perception is not limited to the identification of ecological impacts but involves a critical and contextualized reading of lived reality, where environmental and social problems are intertwined as part of everyday life.\u003c/p\u003e\n\u003cp\u003eHowever, despite the challenges faced, residents demonstrate a positive perception of the environment, which is linked to a sense of well-being. They value its natural beauty, highlighting three main features: the beauty of the water, the floating houses themselves, and the soccer field. It is worth noting that the soccer field was mentioned by approximately 30% of respondents; it should be noted that this only appears during the dry season, but it represents leisure for the community. Thus, according to the research on environmental and social perception of the riverside way of life, it contributes to the recognition of cultural diversity, traditional practices, and forms of social organization of the floating community of Lake Catal\u0026atilde;o. This research revealed a critical lack of basic sanitation and infrastructure, despite the high environmental awareness and remarkable adaptability of the community members. The\u0026nbsp;diagnosis highlighted a prioritization of demands related to precarious sanitation, water contamination, and unstable energy supply, which are direct obstacles to improving quality of life.\u003c/p\u003e\n\u003ch2\u003e4.2 Floating community of Lake Catal\u0026atilde;o, subject of study and projects developed on site\u003c/h2\u003e\n\u003cp\u003eThe results obtained from the collection of data from published scientific articles proved that Lake Catal\u0026atilde;o has a direct influence on research carried out on lakes and rivers in areas close to Manaus. Based on bibliographic surveys found in Google Scholar Academic, the Capes Journal portal, and SciELO, using the keywords: Projects in the Catal\u0026atilde;o-AM Community; Catal\u0026atilde;o Community \u0026ndash; AM, and Catal\u0026atilde;o-AM alone, 37 projects carried out at Lake Catal\u0026atilde;o between 2001 and 2024 were found. Table 1 groups the Catal\u0026atilde;o Lake projects by type of result generated, highlighting recurring patterns and observed impacts, as shown below.\u003c/p\u003e\n\u003cp\u003eTable 1: Projects carried out in the Floating Community of Catal\u0026atilde;o Lake\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"567\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eScientific production without direct gain to the community\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eDiagnosis of health problems\u003csup\u003e\u0026nbsp;2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003ePotential for environmental management\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSustainable solutions\u003c/p\u003e\n \u003cp\u003eenvironmental problems\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eRiverside lifestyle\u003csup\u003e5\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eSustainable fisheries management\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eAndrade et al (2001).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003ePimp\u0026atilde;o, D. M; Martins, D. S.,\u003c/p\u003e\n \u003cp\u003e(2008)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCosta, I. D., E. et al. (2011)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCastro, N. S.,\u003c/p\u003e\n \u003cp\u003eMachado, A. L.\u003c/p\u003e\n \u003cp\u003eS. (2024).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eGhidini, A. et al (2017)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003ePinheiro, L.; Cardoso, A. C.,(2019)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eLopes, A. (2011).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eLira, T. de M., Chaves, M. do\u003c/p\u003e\n \u003cp\u003eP. S. R. (2016).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSantiago, I. N. et al. (2021)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eRamos, M. F. L et al. (2020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eAlmeida, F. and Melo, S. (2011)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCaraballo, P.;\u003c/p\u003e\n \u003cp\u003eForsberg, B.; Leite, R. (2012)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCastro, L. R. C. et al. (2020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eBleich, M. E., et al. (2014)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eLeite, R. G.,\u003c/p\u003e\n \u003cp\u003eSilva, J. V. V. da, and Freitas, C.\u003c/p\u003e\n \u003cp\u003eE. (2006)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eShibuya, A., and Ducan, W. P.\u003c/p\u003e\n \u003cp\u003e(2022).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eMonteiro, N. Q., \u0026amp; Machado, A.\u003c/p\u003e\n \u003cp\u003eL. S. (2024).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eMarinho, R. R., Wachholz, F., and Souza, R. (2019)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eRocha, S. I.B. (2018)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003ePaes, E., Souza,\u003c/p\u003e\n \u003cp\u003eS.D., and Leite,\u003c/p\u003e\n \u003cp\u003eR.G. (2020).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eZuchi, N.A. (2023)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSouza, D.N.F. (2020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eBrand\u0026atilde;o, R.G.S., (2023)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSerruya, N. Q.M. (2022)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eBrito, J. G. de.,\u003c/p\u003e\n \u003cp\u003eAlves, L. F., and Esp\u0026iacute;rito Santo,\u003c/p\u003e\n \u003cp\u003eH. M. V.. (2014).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eQuaresma, E.\u003c/p\u003e\n \u003cp\u003eM. (2022)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eFontinelle, C. et al (2017)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eQueiroz, M. and\u003c/p\u003e\n \u003cp\u003eGomes, A. (2020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSantos, Fernando Alvarenga dos.\u003c/p\u003e\n \u003cp\u003e2013.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eRadaelli, A. and Menin, J. (2023)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eSilva, J. C.I. et al. (2021)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eS\u0026aacute;, P A (2020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eMenin J. (2024)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eBraz-\u003c/p\u003e\n \u003cp\u003eMota, Almeida- Val, V. M.\u003c/p\u003e\n \u003cp\u003eF. (2021)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eGon\u0026ccedil;alves, J.Q., 2021.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCarvalho, G.C.L. et al (2024)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eMelo, S. and\u003c/p\u003e\n \u003cp\u003eFerreira de A.,\u003c/p\u003e\n \u003cp\u003eF. (2009).\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Impact on the community:\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1 Ecological and limnological studies with an academic focus; no practical return to the community\u003c/p\u003e\n\u003cp\u003e2\u0026nbsp;Identification of water contamination, lack of sanitation, and risks to public health.\u003c/p\u003e\n\u003cp\u003e3\u0026nbsp;Contributions to conservation, fishing, and degraded area recovery strategies.\u003c/p\u003e\n\u003cp\u003e4.\u0026nbsp;Initiatives focused on the circular economy, water treatment, and solar energy.\u003c/p\u003e\n\u003cp\u003e5. Social, cultural, and spatial analyses of riverside communities and their challenges.\u003c/p\u003e\n\u003cp\u003e6. Recognition of fishing as an essential activity and proposal for community co-management.\u003c/p\u003e\n\u003cp\u003eThe analysis of projects carried out at Lake Catal\u0026atilde;o reveals a scientific gap, as it was found that most academic projects, although valuable for\u0026nbsp;limnological and ecological\u0026nbsp;knowledge\u0026nbsp;of the lake\u0026nbsp;(Lopes et al., 2011; Ghidini et al., 2017), did not generate effective and direct results to mitigate the socio- environmental challenges of the community,\u0026nbsp;limiting themselves to academic production without articulation with public policies or intervention actions.\u0026nbsp;This disconnect underscores the urgency of applied and participatory science to overcome the dichotomy between knowledge production and its practical applicability (Drummond, 2003).\u003c/p\u003e\n\u003cp\u003eOn the other hand, some projects demonstrate an explicit concern with the socio-environmental reality of the Catal\u0026atilde;o riverside community, addressed by Castro and Machado (2024). Costa et al. (2011) highlight initiatives that address fisheries co-management, photovoltaic system forecasts Fontinelli, 2017, and water treatment with regional products, demonstrating an effort to integrate scientific knowledge with local requirements (Brand\u0026atilde;o, 2023). Trigo (2025) corroborates with an analysis that these studies point to an emerging trend of valuing sustainability and community autonomy, albeit in small numbers compared to the total number of studies conducted.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;The recurring mention of precarious sanitary conditions, Monteiro and Machado (2024), water contamination, Ramos, Wachholz, and Silva Neto (2020), and the lack of basic infrastructure reinforces the need for an interdisciplinary and participatory approach in future projects, as presented by Pinheiro and Cardoso (2019). The community of Lago Catal\u0026atilde;o, although often used as a subject of study, remains on the margins of the concrete benefits of scientific production. This finding calls for a critical review of research paradigms in the Amazon, proposing a science committed to the social and environmental transformation of traditional populations.\u003c/p\u003e\n\u003cp\u003eHowever, community members recalled socio-environmental projects that directly benefited the community, namely: Amigo das Crian\u0026ccedil;as (Friend of Children), Mercado Verde (Green Market), and Projeto Ambiental da Cooperativa de Barqueiro (Barqueiro Cooperative Environmental Project), as well as a project carried out at Christmas 2024 by the Port Authority. An analysis of the results of the other projects at Lake Catal\u0026atilde;o reveals a dichotomy between knowledge production and its practical applicability. Overcoming this gap requires strengthening partnerships between academic institutions, government agencies, and local communities, with a view to building integrated and contextualized solutions. Science, in this context, must take an active role in promoting socio-environmental justice and recognizing riverine knowledge as an essential part of building sustainable alternatives for the Amazon region.\u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003e4.3 Digital Platform\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003eTo bridge the applicability gap and strengthen community empowerment, a Digital Platform was developed. This initiative aims to consolidate and democratize access to the information generated by the project. Thus, the data structure (environmental, social, and economic) was designed to integrate qualitative and quantitative findings. The data is collected and stored on the DigitalOcean service. The integration of multiple data sources meets the holistic needs of the community, facilitating research and evidence-based decision-making.\u003c/p\u003e\n\u003cp\u003eAccess to the digital platform and project results is publicly available through the website (\u003cu\u003ewww.catalaosustentavel.com\u003c/u\u003e.br). The \u003cem\u003ewebsite\u0026nbsp;\u003c/em\u003eincludes an interaction channel (BLOG) and a \u003cem\u003echatbot\u0026nbsp;\u003c/em\u003e(in the prototyping phase) specifically for community interaction. The initiative democratizes access to information and reinforces the role of science as an agent of social transformation, recognizing riverine communities as active participants in the process (Costa et al. 2020).\u003c/p\u003e\n\u003ch2\u003e4.4 Projects and technological tools developed for the Floating Community\u003c/h2\u003e\n\u003cp\u003eTo respond concretely and technologically to the diagnosed needs, nine projects were proposed and developed, currently in the prototyping phase, in partnership between academic institutions IFAM-BR and GECAD-ISEP/IPP-PT. These projects demonstrate the integration between the community, sustainability, and technology, validating the potential of AI as a tool to contribute to improving the quality of life in the community, making it the first sustainable floating community on the Amazon. Table 2 below presents the projects that strengthen the link between the diagnosed problem and the solution, i.e., perception versus technology.\u003c/p\u003e\n\u003cp\u003eTable 2:\u0026nbsp;Diagnosed problem and solution\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"536\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCommunity Challenge - (perception)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTechnological Solutions (AI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExpected Benefit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDroughts: Extreme/Water Risk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003eVit\u0026oacute;ria R\u0026eacute;gia: Real-time water quality monitoring system.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eAI, with water monitoring, contributes directly to climate change adaptation and ensures health safety, stabilizing housing and preventing health risks.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnstable Power Grid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003eEnergy Efficiency: Intelligent Automation with Computer Vision.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eThe proposal seeks to quantify and optimize energy consumption through intelligent systems, linking the current shortage to the provision of renewable and stable energy, reinforcing economic and environmental sustainability.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWaste Management\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003eAutomated system for waste identification and separation. \u003cstrong\u003eEcoCatal\u0026atilde;o\u0026nbsp;\u003c/strong\u003e(Circular Economy)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eUse of computer vision to increase accuracy and efficiency in material recognition and separation, boosting the local circular economy.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducation and Culture\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 201px;\"\u003e\n \u003cp\u003eGuardian of the Amazon I and II: Educational Games; Catal\u0026atilde;o Dialogues: AI for Cultural Preservation; Virtual Medicinal Garden.\u0026nbsp;Healthy Plants and Sustainability (Computer Vision)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eUse of AI and digital platforms for social empowerment, appreciation of traditional knowledge, and environmental awareness in an interactive and playful way.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eThe nine projects, currently in the prototyping phase, for full implementation in the floating community of Lake Catal\u0026atilde;o, depend on securing institutional partnerships and resources for the scalability of the systems, paving the way for the realization of the goal of making Catal\u0026atilde;o the first sustainable floating community in Amazonas. The development of these technological solutions recognizes the floating community of Lago do Catal\u0026atilde;o as active participants who are integrated into the pillars of sustainability.\u003c/p\u003e"},{"header":"5. CONCLUSION AND FUTURE RECOMMENDATIONS","content":"\u003cp\u003eThe analysis of socio-environmental aspects and previous scientific interventions in the floating community of Lake Catal\u0026atilde;o highlights the complexity of the relationship between the riverside way of life and the dynamics of the Amazonian ecosystem. The sociodemographic diagnosis corroborates the heterogeneity of socioeconomic profiles and the lack of infrastructure for essential services, contrasting, however, with robust social capital and a strong sense of territorial belonging expressed by residents.\u003c/p\u003e\u003cp\u003eDespite advances in ecological and limnological knowledge provided by studies conducted in the region, there remains a gap in the practical applicability of these findings and their effective integration with the demands and traditional understanding of the local population. The predominance of descriptive studies, devoid of direct benefits to the community, reinforces the urgent need to transition to a participatory and transformative science guided by social demand. The articulation between academic knowledge and specific needs is the vector for promoting sustainability and strengthening community autonomy, with the valuation of traditional knowledge and the inclusion of riverine communities as active agents in the co-creation of solutions being indispensable premises.\u003c/p\u003e\u003cp\u003eA cross-sectional analysis of existing projects and a diagnosis of the community's precarious health and infrastructure conditions underscore the need for an interdisciplinary and technologically mediated approach. In this context, the present study addresses the central research question: \u003cem\u003eHow can the integration of a floating community into the pillars of sustainability and smart systems promote sustainability?\u003c/em\u003e Ongoing support three converging axes: (a) in-depth characterization of the community; (b) diagnosis of needs aligned with the pillars of sustainability (environmental, social, and economic); and (c) development of nine prototypes of intelligent systems (AI) in partnership with GECAD-ISEP.\u003c/p\u003e\u003cp\u003eThese prototypes represent an innovative effort to link artificial intelligence to social inclusion and improved quality of life, aiming to consolidate the floating community of Lago do Catal\u0026atilde;o as a model of sustainable community in the Amazon. The implementation of an integrated database, accessible via an interactive digital platform, represents a crucial advance in the democratization of information and increased scientific transparency, legitimizing science as a vector of social transformation, while recognizing riverine communities as \u003cem\u003estakeholders\u003c/em\u003e in the construction of contextualized solutions.\u003c/p\u003e\u003cp\u003eGiven this context, it is recommended that public policies be strengthened to address the following strategic aspects:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eContextualized education: Development of curricula sensitive to the reality of the community and valuing traditional knowledge.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBasic Infrastructure: Guarantee of universal and dignified access to basic sanitation, health care, and sustainable energy sources.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eLocal Economy: Promotion of sustainable production chains and mechanisms to encourage the green economy.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eParticipatory Governance: Ensuring effective community participation in natural resource management and research processes.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eTechnological Innovation: Continued support for the implementation and scalability of technologies developed in partnership with the community.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003eIt can be concluded that overcoming the dichotomy between scientific production and practical applicability requires an epistemological review of Amazonian research paradigms, promoting an interdisciplinary, participatory, and transformative approach. This orientation is imperative to generate concrete benefits for the floating community of Lake Catal\u0026atilde;o and contribute to socio-environmental justice, paving the way for a more equitable, sustainable, and inclusive future for riverine populations.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.M wrote the main manuscript text and GM. suggest the table, and the GM guided this research. All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThis research was conducted as part of a postdoctoral project developed in collaboration with the Polytechnic Institute of Porto (ISEP), Portugal, and the Federal Institute of Amazonas (IFAM), Brazil. The authors gratefully acknowledge the Work funded by the Portuguese Foundation for Science and Technology under project doi.org/10.54499/UIDP/00760/2020, Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) at ISEP, for providing a stimulating research environment, essential technical resources, and financial support.We also extend our thanks to the Computer Engineering students at the Higher Institute of Engineering of Porto (ISEP) and, Polytechnic Institute of Porto (IPP), for their valuable contributions to the development of the artificial intelligence prototypes presented in this study. We are particularly grateful to the floating community of Lago do Catal\u0026atilde;o for their active participation and openness, which were fundamental to the success of this research. Special recognition is given to community leader Ms. Raimunda Ferreira Viana for her pivotal role in facilitating local engagement.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData Availability StatementThe datasets generated and analyzed during the current study are available as follows:\u0026bull;Primary data produced during the study are deposited in the Google Drive repository [catalao_revisado], accessible: https://docs.google.com/spreadsheets/d/1aQmtCFYeJlUpYFS63njttuYjh7euZWBp/edit?usp=sharing\u0026amp;ouid=102301537165061614742\u0026amp;rtpof=true\u0026amp;sd=true\u0026bull;Secondary data reused in this study are publicly available from [website catalaosustentavel, accessible at: [www.catalaosustentavel.com.br].\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAbdallah, M., Abu Talib, M., Feroz, S., Nasir, Q., Abdalla, H., \u0026amp; Mahfood, B. (2020). 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Acta Amaz\u0026oacute;nica, 36(4), 557\u0026ndash;562. https://doi.org/10.1590/S0044-59672006000400018\u003c/li\u003e\n\u003cli\u003eLira, T. de M., \u0026amp; Chaves, M. do P. S. R. (2016). Comunidades Ribeirinhas na Amaz\u0026ocirc;nia: organiza\u0026ccedil;\u0026atilde;o sociocultural e pol\u0026iacute;tica. Intera\u0026ccedil;\u0026otilde;es (Campo Grande), 17(1). https://doi.org/10.20435/1518-70122016107\u003c/li\u003e\n\u003cli\u003eLiu, Y., Jovanovic, M., Mallayya, K., Maddox, W. J., Wilson, A. G., Klemenz, S., Schoop, L. M., \u0026amp; Kim, E.-A. (2025). Materials Expert\u0026ndash;Artificial Intelligence for materials discovery. Communications Materials. https://www.nature.com/articles/s43246-025-00928-7.pdf\u003c/li\u003e\n\u003cli\u003eLopes, A., Paula, J. D. de Mardegan, S. F., Hamada, N., \u0026amp; Piedade, M. T. F.. (2011). Influ\u0026ecirc;ncia do habitat na estrutura da comunidade de macroinvertebrados aqu\u0026aacute;ticos associados \u0026agrave;s ra\u0026iacute;zes de Eichhornia crassipes na regi\u0026atilde;o do Lago Catal\u0026atilde;o, Amazonas, Brasil. Acta Amazonica, 41(4), 493\u0026ndash;502. https://doi.org/10.1590/S0044-59672011000400007\u003c/li\u003e\n\u003cli\u003eMachado, A. L. S., Zaneti, I. C. B. B., \u0026amp; Higuchi, M. I. G. (2019). A degrada\u0026ccedil;\u0026atilde;o dos cursos h\u0026iacute;dricos urbanos, uma abordagem sobre gest\u0026atilde;o e educa\u0026ccedil;\u0026atilde;o ambiental. Revista Ibero-Americana De Estudos Em Educa\u0026ccedil;\u0026atilde;o, 14(3), 1124\u0026ndash;1138. https://doi.org/10.21723/riaee.v14i3.11416\u003c/li\u003e\n\u003cli\u003eMarinho, R. R., Wachholz, F., \u0026amp; Souza, R. (2019). Monitoramento do sedimento suspenso no Lago Catal\u0026atilde;o (Iranduba, AM) com dados Landsat-8. 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Trabalho apresentado no Simp\u0026oacute;sio Brasileiro de Geografia Aplicada, 2019.\u003c/li\u003e\n\u003cli\u003eRadaelli, A., \u0026amp; Menin, J. (2023). Entangled collectives: riverine people, landscapes, and emerged infrastructures on a climate change background. Tapuya: Latin American Science, Technology and Society, 6(1). https://doi.org/10.1080/25729861.2023.2275813\u003c/li\u003e\n\u003cli\u003eRamos, M. F. L., Wachholz, F., \u0026amp; Silva Neto, J. C. A. da. (2020). QUALIDADE DOS RECURSOS H\u0026Iacute;DRICOS NA COMUNIDADE FLUTUANTE DO LAGO DO CATAL\u0026Atilde;O, IRANDUBA - AM. Caminhos De Geografia, 21(73), 98\u0026ndash;115. https://doi.org/10.14393/RCG217347290\u003c/li\u003e\n\u003cli\u003eReis, L. P., de Souza, A. L., Reis, P. C. M. dos R., Mazzei, L., Binoti, D. H. B., \u0026amp; Leite, H. G. (2018). Prognose da distribui\u0026ccedil;\u0026atilde;o diam\u0026eacute;trica na Amaz\u0026ocirc;nia utilizando redes neurais artificiais e aut\u0026ocirc;matos celulares. 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Vari\u0026aacute;veis clim\u0026aacute;ticas e hidrol\u0026oacute;gicas regem o incremento diam\u0026eacute;trico anual e a regula\u0026ccedil;\u0026atilde;o hidr\u0026aacute;ulica da esp\u0026eacute;cie Hydrochorea corymbosa (Fabaceae) em uma floresta de v\u0026aacute;rzea na Amaz\u0026ocirc;nia Central [Disserta\u0026ccedil;\u0026atilde;o de Mestrado, Instituto Nacional de Pesquisas da Amaz\u0026ocirc;nia \u0026ndash; INPA]. Programa de P\u0026oacute;s-Gradua\u0026ccedil;\u0026atilde;o em Bot\u0026acirc;nica. https://repositorio.inpa.gov.br/bitstreams/78423840-229c-4ee3-90b9-ddaa2b7ddade/download\u003c/li\u003e\n\u003cli\u003eSach, I. Caminhos para o desenvolvimento sustent\u0026aacute;vel. Rio de Janeiro: Garamond, 2\u0026ordf;. Ed. 2008. \u003c/li\u003e\n\u003cli\u003eSachs, I (1986). Espa\u0026ccedil;os, Tempos e Estrat\u0026eacute;gias do Desenvolvimento. S\u0026atilde;o Paulo: V\u0026eacute;rtice. \u003c/li\u003e\n\u003cli\u003eSales, L., Ribeiro, B. R., Chapman, C. A., \u0026amp; Loyola, R. (2020). Multiple dimensions of climate change on the distribution of Amazon primates. Perspectives in Ecology and Conservation, 18(2), 83\u0026ndash;90. https://doi.org/10.1016/j.pecon.2020.03.001\u003c/li\u003e\n\u003cli\u003eSantiago, I. N., Piedade, M. T. F., Weiss, B., Demarchi, L. O., \u0026amp; Lopes, A. (2021). Germina\u0026ccedil;\u0026atilde;o de sementes e morfologia de pl\u0026acirc;ntulas de esp\u0026eacute;cies pioneiras da v\u0026aacute;rzea amaz\u0026ocirc;nica. Ci\u0026ecirc;ncia Florestal, 31(1), 271\u0026ndash;289. https://doi.org/10.5902/1980509840676\u003c/li\u003e\n\u003cli\u003eSantos, A. R. dos, Anjinho, P. da S., Neves, G. L., Barbosa, M. A. G. A., Assis, L. C. de, \u0026amp; Mauad, F. F. (2021). Dynamics of environmental conservation: Evaluating the past for a sustainable future. 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Programa de P\u0026oacute;s-Gradua\u0026ccedil;\u0026atilde;o Interdisciplinar em Ci\u0026ecirc;ncias Humanas \u0026ndash; PPGICH/UEA. https://pos.uea.edu.br/data/area/dissertacao/download/43-16.pdf\u003c/li\u003e\n\u003cli\u003eTrigo, Fernanda Alves (2025). Cultura e sustentabilidade: o resgate do saber tradicional na educa\u0026ccedil;\u0026atilde;o ambiental. International Integralize Scientific. v 5, n 45, Mar\u0026ccedil;o/2025 ISSN/3085-654X. doi.org/10.63391/5D9DCE\u003c/li\u003e\n\u003cli\u003eTrindade, A. S. C. E. da, \u0026amp; Oliveira, H. P. C. de. (2024). Intelig\u0026ecirc;ncia Artificial (IA) generativa e compet\u0026ecirc;ncia em informa\u0026ccedil;\u0026atilde;o: Habilidades informacionais necess\u0026aacute;rias ao uso de ferramentas de IA generativa em demandas informacionais de natureza acad\u0026ecirc;mica-cient\u0026iacute;fica. 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(1987). Our common future. Oxford University Press. Recuperado de https://sustainabledevelopment.un.org/content/documents/5987our-common-future.pdf\u003c/li\u003e\n\u003cli\u003eXiang, X., Li, Q., Khan, S., \u0026amp; Khalaf, O. I. (2021). Urban water resource management for sustainable environment planning using artificial intelligence techniques. Environmental Impact Assessment Review, 86, 106515. https://doi.org/10.1016/j.eiar.2020.106515\u003c/li\u003e\n\u003cli\u003eZuchi, N. A. (2023). Varia\u0026ccedil;\u0026atilde;o do tamanho na assembleia de peixes em um lago de v\u0026aacute;rzea na Amaz\u0026ocirc;nia Central (Tese de doutorado, Instituto Nacional de Pesquisas da Amaz\u0026ocirc;nia). 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The research encompasses a socio-environmental diagnosis, technological development, and social inclusion. The methodology combines bibliographic review, surveys, interviews, participant observation, and data analysis, supported by the creation of an integrated database and a publicly accessible website. Findings highlight critical challenges, including inadequate sanitation, unreliable energy supply, and climate-related risks. However, they also reveal strong environmental awareness and active community engagement. The project resulted in the development of nine AI-based prototypes, addressing water quality monitoring, energy efficiency, intelligent waste management, and educational gaming. This research is notable for proposing innovative and participatory solutions that bridge science, technology, and local culture. 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