Background:Regional ecosystem health assessments are the basis for the sustainable development of society.However,an ecosystem is a complex integration of ecosystem mosaics and subsystems that influence each other,mak...Background:Regional ecosystem health assessments are the basis for the sustainable development of society.However,an ecosystem is a complex integration of ecosystem mosaics and subsystems that influence each other,making it difficult to evaluate them using traditional assessment methods of linear and explicit functions.We introduce a back-propagation neural network model optimized by a genetic algorithm to evaluate ecosystem health in 16 districts in Yunnan Province.Result:(1)The model required fewer inputs to evaluate complex and nonlinear systems,avoided the need for subjective weights,and performed well in this practical application to regional ecosystem health assessment.(2)The ecosystem health in Yunnan Province was increasing,and there was a significant positive spatial autocorrelation during 2000-2020,showing that districts with high Ecosystem Health cluster together and the ecological protection policy of the region has produced a diffusion effect,leading to continuous improvement of the ecological health of the surrounding areas.High-low outlier areas of ecosystem health should be paid more attention,because of the increasing instability of local health levels.Conclusion:This study provides a methodological exploration for assessing spatial mosaics of different ecosystems at a regional scale.展开更多
健康的生态系统一般被视为环境管理的终极目标,进行生态系统健康研究对探索区域与生态系统可持续发展具有重要意义。随着国际生态与健康学会(International Association for Ecology and Health)的解体,生态系统健康研究视角出现转型。...健康的生态系统一般被视为环境管理的终极目标,进行生态系统健康研究对探索区域与生态系统可持续发展具有重要意义。随着国际生态与健康学会(International Association for Ecology and Health)的解体,生态系统健康研究视角出现转型。系统梳理了近年来国际上有关生态系统健康概念及其评估方法、指标的新进展,通过文献统计和重要文献引用揭示了国际生态系统健康研究的发展历程,提出了从生态系统健康到生态健康再到生态文化健康的三大核心框架发展阶段,生态系统健康的研究对象和范围正在不断扩充。资源环境研究领域是国内研究者应用生态系统健康概念与方法的优势领域,在区域尺度上评价生态系统的健康更贴近资源环境和社会文化交互作用的复合表征理念。因此,我国生态系统健康研究的趋向不仅应包括在生态系统尺度上研究的继续深化,也应包含对生态文化健康概念的完善与应用,并发挥地理-生态视角的区域集成研究优势,从而有效指导区域生态与环境政策制定与实施。展开更多
基金This work was supported by the National Natural Science Foundation of China[52078160]。
文摘Background:Regional ecosystem health assessments are the basis for the sustainable development of society.However,an ecosystem is a complex integration of ecosystem mosaics and subsystems that influence each other,making it difficult to evaluate them using traditional assessment methods of linear and explicit functions.We introduce a back-propagation neural network model optimized by a genetic algorithm to evaluate ecosystem health in 16 districts in Yunnan Province.Result:(1)The model required fewer inputs to evaluate complex and nonlinear systems,avoided the need for subjective weights,and performed well in this practical application to regional ecosystem health assessment.(2)The ecosystem health in Yunnan Province was increasing,and there was a significant positive spatial autocorrelation during 2000-2020,showing that districts with high Ecosystem Health cluster together and the ecological protection policy of the region has produced a diffusion effect,leading to continuous improvement of the ecological health of the surrounding areas.High-low outlier areas of ecosystem health should be paid more attention,because of the increasing instability of local health levels.Conclusion:This study provides a methodological exploration for assessing spatial mosaics of different ecosystems at a regional scale.
文摘健康的生态系统一般被视为环境管理的终极目标,进行生态系统健康研究对探索区域与生态系统可持续发展具有重要意义。随着国际生态与健康学会(International Association for Ecology and Health)的解体,生态系统健康研究视角出现转型。系统梳理了近年来国际上有关生态系统健康概念及其评估方法、指标的新进展,通过文献统计和重要文献引用揭示了国际生态系统健康研究的发展历程,提出了从生态系统健康到生态健康再到生态文化健康的三大核心框架发展阶段,生态系统健康的研究对象和范围正在不断扩充。资源环境研究领域是国内研究者应用生态系统健康概念与方法的优势领域,在区域尺度上评价生态系统的健康更贴近资源环境和社会文化交互作用的复合表征理念。因此,我国生态系统健康研究的趋向不仅应包括在生态系统尺度上研究的继续深化,也应包含对生态文化健康概念的完善与应用,并发挥地理-生态视角的区域集成研究优势,从而有效指导区域生态与环境政策制定与实施。
