应用生态学报2025，Vol.36Issue(6)：1671-1678,8.DOI:10.13287/j.1001-9332.202506.021
绿金漏斗:全民所有自然资源生态价值评估指标筛选框架的构建及应用
Green gold funnel:A framework of screening indicators for assessing the ecological value of nationally owned natural resources and its application
摘要
Abstract
Improving the theoretical framework of natural resource evaluation is beneficial to regional natural re-source management and holds great significance for the development of new quality productivity.Based on Coase's theorem,externality theory,ecosystem service theory and assessment requirements,we constructed a conceptual framework,green gold funnel,to screen indicators for the ecological value assessment of nationally owned natural resources.Taking Meiling National Forest Park in Jiangxi Province as an example,we explored the application of this framework in the ecological value assessment scenarios of nationally owned natural forest resources.The results showed that in 2022,the indicators for the ecological value of nationally owned natural resources included timber product supply,water conservation,carbon sequestration,wellness and recreation,and the additive value of land-scape.The ecological value of nationally owned natural resources in the experimental area in 2022 was 503.235 mil-lion yuan,with wellness and recreation taking the dominant contributors,indicating that the green gold funnel could efficiently select the indicators for assessing the ecological value of nationally owned natural resources.We proposed a green gold funnel conceptual framework for the screening of indicators for ecological value assessment of nationally owned natural resources,and verified its effectiveness with examples,which would provide a scientific basis for the ecological value assessment of nationally owned natural resources.关键词
自然资源生态价值/绿金漏斗/修正科斯定理/新质生产力Key words
ecological value of natural resources/green gold funnel/modified Coase's theorem/new quality pro-ductivity引用本文复制引用
李鸣,詹妮,张奕,黄宏胜,钟海燕..绿金漏斗:全民所有自然资源生态价值评估指标筛选框架的构建及应用[J].应用生态学报,2025,36(6):1671-1678,8.基金项目
本文由国家自然科学基金重点项目(42330707)和江西大湖流域国土空间生态保护修复工程技术创新中心项目(2024JXAUHX050)资助. （42330707）
