CartograPlant: Bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight

2025 · doi:10.32942/x2q06d
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Abstract

Climate change is threatening plant health and productivity at all spatial scales, and these impacts are further compounded by the rising incidence of invasive pests and pathogens. Effectively addressing these challenges requires a comprehensive understanding of plant demography as well as the mechanisms and drivers of adaptation. Achieving this understanding requires the integration of physiological, ecological, and genetic datasets. However, such integration is often hindered by disconnected data sources, inconsistent metadata standards, and limited tools to link, analyze, and visualize multi-dimensional datasets in a unified framework. Addressing these hurdles is critical to advancing the understanding of species responses to environmental change and developing informed strategies for conservation, restoration, and adaptive management.
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Abstract

Climate change is threatening plant health and productivity at all spatial scales, and these impacts are further compounded by the rising incidence of invasive pests and pathogens. Effectively addressing these challenges requires a comprehensive understanding of plant demography as well as the mechanisms and drivers of adaptation. Achieving this understanding requires the integration of physiological, ecological, and genetic datasets. However, such integration is often hindered by disconnected data sources, inconsistent metadata standards, and limited tools to link, analyze, and visualize multi-dimensional datasets in a unified framework. Addressing these hurdles is critical to advancing the understanding of species responses to environmental change and developing informed strategies for conservation, restoration, and adaptive management. DOI https://doi.org/10.32942/X2Q06D Subjects Agriculture, Biodiversity, Bioinformatics, Ecology and Evolutionary Biology, Genetics and Genomics, Integrative Biology, Life Sciences, Plant Biology, Plant Breeding and Genetics Life Sciences, Plant Pathology, Systems Biology

Keywords

data integration, data interoperability, meta-analysis, biodiversity informatics, plant adaptation, GWAS, GEA, FAIR Dates Published: 2025-09-30 10:30 Last Updated: 2025-09-30 10:39 Older Versions License CC-By Attribution-ShareAlike 4.0 International Additional Metadata Data and Code Availability Statement: All data used in this study are publicly available through the CartograPlant online database (https://cartograplant.org/). Specific datasets referenced in this publication can be accessed by navigating to the relevant study pages within CartograPlant. Additional information about CartograPlant is available at https://cartograplant-tpps.readthedocs.io/en/latest/. Language: English

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