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多情景下昌吉市生态系统服务价值预测及权衡协同研究

陈梦茜 王承武 闫天亮

湖北农业科学2025,Vol.64Issue(1):16-22,7.
湖北农业科学2025,Vol.64Issue(1):16-22,7.DOI:10.14088/j.cnki.issn0439-8114.2025.01.003

多情景下昌吉市生态系统服务价值预测及权衡协同研究

Study on prediction and trade-off/synergies of ecosystem service value in Changji City under multiple scenarios

陈梦茜 1王承武 1闫天亮1

作者信息

  • 1. 新疆农业大学公共管理学院(法学院),乌鲁木齐 830052
  • 折叠

摘要

Abstract

Taking Changji City of Xinjiang Province as an example,the spatial and temporal variation characteristics of land use and ecosystem service value(ESV)under multiple scenarios in 2030 were predicted based on the PLUS model and the equivalent factor method.At the same time,Pearson correlation analysis and bivariate spatial auto-correlation analysis were carried out to explore the trade-off/synergies relationship.The results showed that,from 2010 to 2030,the land use structure of Changji City had changed signif-icantly,with the most significant changes under the urban development scenario and the most moderate changes under the ecological protection scenario.From 2010 to 2020,the ESV of Changji City decreased by 693 million yuan.From 2020 to 2030,the ESV would decrease by 653 million yuan,626 million yuan and 611 million yuan in the urban development scenario,cultivated land protection scenario and natural development scenario,respectively;under the ecological protection scenario,the ESV would increase by 50 mil-lion yuan,and the individual ESV also showed an increasing trend.There was an obvious synergistic relationship between ecosystem services in Changji City,with the northern desert and central construction land areas showing low-low synergy,while the southern woodland and grassland were mainly high-high synergy,and the high-low trade-off and low-high trade-off were distributed around the wetland in a dotted pattern.

关键词

生态系统服务价值/多情景预测/PLUS模型/权衡协同/昌吉市

Key words

ecosystem service value/multi-scenario forecasting/PLUS model/trade-off/synergies/Changji City

分类

资源环境

引用本文复制引用

陈梦茜,王承武,闫天亮..多情景下昌吉市生态系统服务价值预测及权衡协同研究[J].湖北农业科学,2025,64(1):16-22,7.

基金项目

新疆自然科学基金面上项目(2022D01A84) (2022D01A84)

新疆社科基金项目(21BJL101) (21BJL101)

湖北农业科学

0439-8114

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