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Position: Home > Articles > Research review of the evaluation methods of ecosystem vulnerability of coastal zones Journal of Henan Institute of Science and Technology(Natural Science Edition) 2020 (1) 25-34

海岸带生态系统脆弱性评价研究综述

作  者:
程夕;左冰菁;刘兴诏;黄柳菁
单  位:
福建农林大学园林学院
关键词:
海岸带;脆弱性评价;指标体系;评价方法;生态系统
摘  要:
海岸带生态系统脆弱性受自然活动与人类活动的共同作用,总结其评价研究的进展,提出切实有效的评价模式为海岸带生态安全建设提供参考.结合海岸带生态系统脆弱性概念内涵及其评价的框架体系、评价方法、评价指标选取、评价指标权重等方面的研究,分析了海岸带生态系统脆弱性评价研究领域不同阶段的发展状况以及不同评价概念框架和评价方法的差异,讨论了在评价指标选取、权重方案构建、评价方法创新等方面的不足,并对未来发展趋势进行展望.总体认为应该在未来的研究中:加强评价过程中对人类活动和社会经济相关指标的考量;加强评价指标选取和评价方法的客观性和科学性;构建基于多因素交互作用的指标权重方案;重视时空动态数据和新技术的运用.
译  名:
Research review of the evaluation methods of ecosystem vulnerability of coastal zones
作  者:
CHENG Xi;ZUO Bingjing;LIU Xingzhao;HUANG Liujing;College of Landscape Architecture,Fujian Agriculture and Forestry University;
关键词:
coastal zone;;vulnerability evaluation;;indicator system;;evaluation method;;ecosystem
摘  要:
The vulnerability of coastal ecosystems is influenced by natural activities and human activities.Summarizing the progress of evaluation research and proposing effective evaluation models can provide reference for coastal ecological security construction.Based on the connotation of the concept of coastal ecosystem vulnerability and its evaluation framework,evaluation methods,selection of evaluation indicators,weights of evaluation indicators,etc.,the development status and different stages of the research on the vulnerability assessment of coastal ecosystems are analyzed.Evaluating the differences between conceptual frameworks and evaluation methods,discussing the shortcomings in the selection of evaluation indicators,the construction of weighting schemes,and the innovation of evaluation methods,and prospecting the future development trend,which is generally considered to be in the future research:strengthening the evaluation process Consideration of human activities and socio-economic related indicators;strengthening the objectivity and scientificity of evaluation index selection and evaluation methods;constructing index weighting schemes based on multi-factor interaction;paying attention to the application of spatiotemporal dynamic data and new technologies.

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