QUANTITATIVE RESEARCH ON ECOLOGICAL COMPENSATION IN COASTAL AREAS BASED ON ECOLOGICAL FOOTPRINT

被引:4
|
作者
YANG, B. Q. [1 ]
LIU, Y. [2 ]
机构
[1] Fuyang Normal Univ, Coll Informat Engn, Dept Econ Management, Fuyang 236041, Peoples R China
[2] Fuyang Normal Univ, Coll Informat Engn, Dept Design Art, Fuyang 236041, Peoples R China
来源
关键词
changes in human ecological footprint; coastal areas; ecological compensation; Principal; Component Analysis; ecological carrying capacity; evaluation;
D O I
10.15666/aeer/2003_21712185
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Environmental degradation has severely restricted the economic development of coastal beach areas. Quantitative analysis of ecological compensation in coastal beach areas will help to understand the current situation of local resources and environment. Therefore, this paper proposes a quantitative analysis method for coastal beach ecological compensation based on changes in ecological footprint. According to the ecological red line regional ecological compensation theory, the subject and object of ecological compensation are clarified, and the ecological footprint calculation model and ecological compensation sharing model are constructed. From the ecosystem service value, ecological footprint calculation, ecological carrying capacity and ecological footprint efficiency, direct income loss compensation, static from the perspectives of evaluation compensation and dynamic evaluation compensation, the quantitative analysis of ecological compensation in coastal beach areas has been realized. In this paper, a certain place is selected as the experimental area, and the principal component analysis method is used to evaluate the effect of local ecological compensation. The results show that the level of ecological surplus in 2020 has significantly increased compared to that of 2010; The ecological capacity per capita in the study area is lower than the national average; The ecological compensation effect after normalization treatment is obviously better than that before normalization.
引用
收藏
页码:2171 / 2185
页数:15
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