Analysis of temporal and spatial changes of ecological quality and its influencing factors in Guangdong Province

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Abstract Ecological quality and its influencing factors are important contents of ecological security in Guangdong Province. As the representative of China's high-quality development, maintaining its ecological security is of great significance to China's ecological construction. Based on the remote sensing ecological index (RSEI), this paper analyzes the temporal and spatial changes of ecological quality and its influencing factors in Guangdong Province from 2000 to 2023. According to ENVI and Arcgis software, the spatial and temporal changes of ecological quality in Guangdong Province and the spatial correlation of RSEI in Guangdong Province are calculated and drawn. At the same time, R2 of OLS and MGWR models is fitted to verify the linear fitting relationship between influencing factors and RSEI in Guangdong Province. The research results show that: (1) the development of RSEI in Guangdong Province generally shows a downward trend from 2000 to 2023; (2) The change trend of RSEI in Guangdong Province is different in different periods; (3) The RSEI in Guangdong Province shows strong spatial auto-correlation; (4) The relationship between potential influencing factors and RSEI is not only positive, but also negative. Based on the above conclusions, the article puts forward corresponding policy suggestions.
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Analysis of temporal and spatial changes of ecological quality and its influencing factors in Guangdong Province | 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 Analysis of temporal and spatial changes of ecological quality and its influencing factors in Guangdong Province Qing Guo, Yu Hou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4521487/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 Ecological quality and its influencing factors are important contents of ecological security in Guangdong Province. As the representative of China's high-quality development, maintaining its ecological security is of great significance to China's ecological construction. Based on the remote sensing ecological index (RSEI), this paper analyzes the temporal and spatial changes of ecological quality and its influencing factors in Guangdong Province from 2000 to 2023. According to ENVI and Arcgis software, the spatial and temporal changes of ecological quality in Guangdong Province and the spatial correlation of RSEI in Guangdong Province are calculated and drawn. At the same time, R2 of OLS and MGWR models is fitted to verify the linear fitting relationship between influencing factors and RSEI in Guangdong Province. The research results show that: ( 1 ) the development of RSEI in Guangdong Province generally shows a downward trend from 2000 to 2023; ( 2 ) The change trend of RSEI in Guangdong Province is different in different periods; ( 3 ) The RSEI in Guangdong Province shows strong spatial auto-correlation; ( 4 ) The relationship between potential influencing factors and RSEI is not only positive, but also negative. Based on the above conclusions, the article puts forward corresponding policy suggestions. ecological quality RSEI Temporal and spatial evolution Spatial correlation MGWR model Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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