测绘通报 ›› 2022, Vol. 0 ›› Issue (8): 30-35.doi: 10.13474/j.cnki.11-2246.2022.0228

• 区域生态环境质量时空分析 • 上一篇    下一篇

云贵高原地区生态系统服务价值时空变化特征

张学鹏, 张凤娇, 陈伟, 李广超, 毕朋帅, 王哲   

  1. 中国矿业大学(北京) 地球科学与测绘工程学院, 北京 100830
  • 收稿日期:2021-09-13 修回日期:2022-04-25 发布日期:2022-09-01
  • 通讯作者: 陈伟。E-mail:chenweibnu@126.com
  • 作者简介:张学鹏(1995-),男,硕士,主要研究方向为基于多源遥感数据的生态服务价值评估、多云条件下遥感影像去云处理。E-mail:996588861@qq.com
  • 基金资助:
    北京市自然科学基金(8192037);国家自然科学基金(41701391)

Spatio-temporal changes of ecological service values in Yunnan-Kweichow Plateau

ZHANG Xuepeng, ZHANG Fengjiao, CHEN Wei, LI Guangchao, BI Pengshuai, WANG Zhe   

  1. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100830, China
  • Received:2021-09-13 Revised:2022-04-25 Published:2022-09-01

摘要: 针对云贵高原地区在开展生态恢复工程后的生态系统服务价值(ESVs)如何变化问题,本文基于当量因子和空间自相关分析等方法,研究了云贵高原地区ESVs的时空变化特征。结果表明:①土地利用类型转移主要是农田转为建设用地与水体。②在开展生态恢复工程后,生态系统得到了改善,ESVs在38年间呈先减少后增加的趋势,累计增加94.91亿元,森林的生态调节能力及产生的价值总量在2180亿元以上,最少的为荒漠,约为0.1亿元。③ESVs的空间分布格局表现为西南地区较高、中部较低。④1980—2018年ESVs表现为显著空间正相关,莫兰指数大于0.46,有明显的聚集特征。

关键词: 土地利用, 生态系统服务价值, 当量因子, 云贵高原, 时空分析

Abstract: Aiming at the problem how to change the ecosystem service values (ESVs) in Yunnan-Kweichow Plateau after the ecological restoration project was carried out, based on equivalent factors and spatial autocorrelation analysis methods to study the spatio-temporal characteristics of ESVs in the Yunnan-Kweichow Plateau in this paper. The results show that: ①The conversion of land use types is mainly the conversion of cultivated land to construction and water. ②After the ecological restoration projects, the ecosystem has been improved, ESVs first decreased and then increased in 38 years, with a cumulative increase of 9.491 billion yuan. The ecological adjustment capacity of forests and the total value generated are more than 218 billion yuan, and the least is desert, which is about 10million yuan. ③The spatial distribution pattern of ESVs is higher in the southwest and lower in the middle. ④ESVs from 1980 to 2018 showed a significant positive spatial correlation, and the Moran index was greater than 0.46, showing obvious clustering characteristics.

Key words: land use, ESVs, equivalent factor, Yunnan-Kweichow Plateau, spatio-temporal analysis

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