金沙江流域生态系统服务的权衡与协同效应评价
Evaluating the Trade-offs and Synergies of Ecosystem Services in the Jinsha River Basin
陈威廷 1胡淇研 2刘凤莲 1刘艳 1王舒1
作者信息
- 1. 云南财经大学国土资源与持续发展研究所,昆明 650221
- 2. 云南财经大学国际语言文化学院,昆明 6502210
- 折叠
摘要
全球气候变化和人类活动已经威胁到流域生态系统.金沙江作为长江上游,研究其生态系统服务功能对维护整个长江流域的生态安全、促进生态可持续性具有重要意义.基于生态系统服务与权衡综合评价(InVEST)模型和修正通用土壤流失方程(RUSLE)模型,对2000-2020年金沙江流域生态系统提供的5种生态系统服务功能:产水量(WY)、生境质量(HQ)、土壤保有量(SR)、食物供应(FS)、碳储量(CS)进行了评价,并分析了它们的时空变化特征,权衡协同关系及其驱动因素.结果表明:(1)2000-2020 年间,金沙江流域的各生态系统服务总量除生境质量外都存在不同程度的波动,各生态系统服务在空间分布上基本呈现出东南高西北低的空间格局.(2)CS_SR_HQ和WY_SR_FS之间存在显著的协同关系,WY_CS之间存在显著的权衡关系.(3)CS_SR_HQ的主要驱动因素是净初级生产力(NPP)和土地利用类型(LU),WY_SR_FS的主要驱动因素是年降雨量(PRE)、LU和降雨侵蚀(R),WY_CS的驱动因素在研究期内较多变.
Abstract
Global climate change and human activities continue to threaten watershed ecosystems.The Jinsha River constitutes the upper reaches of the Yangtze River,so studying its ecosystem services(ES)is of great sig-nificance for maintaining ecological security and promoting ecological sustainability in the entire Yangtze River Ba-sin.By using the integrated valuation of ecosystem services and trade-offs(InVEST)models and revised universal soil-loss equation(RUSLE)models,we evaluated five ecosystem services of water yield(WY),habitat quality(HQ),soil retention(SR),food supply(FS),and carbon storage(CS)provided by the Jinsha River Basin ecosystem from 2000 to 2020,as well as their spatial-temporal variations and driving factors.The results show three main features of this system.(1)From 2000 to 2020,each ecosystem service in the Jinsha River Basin exhibited different degrees of fluctuation,except for habitat quality,and each ecosystem service basically showed a spatial distribution pattern of high in the southeast and low in the northwest.(2)There were significant synergistic relationships between CS_SR_HQ and WY_SR_FS,and a significant trade-off between WY_CS.(3)The main driving factors of CS_SR_HQ were net primary productivity(NPP)and land-use type(LU),the main driving factors of WY_SR_FS were annual precipitation(PRE),LU,and rainfall erosivity(R),and the main driving factors of WY_CS varied con-siderably during the study period.
关键词
生态系统服务/InVEST模型/贝叶斯信念网络/权衡/协同效应/金沙江流域Key words
ecosystem services/InVEST model/Bayesian Belief Network/trade-offs/synergies/Jinsha River Basin引用本文复制引用
基金项目
Scientific Research Fund Project of Yunnan Education Department(2021J0592)
Talent Project of Yunnan University of Finance and Economics(2022D13)
出版年
2024
NETL
NSTL
维普
万方数据