Changes of Ecosystem Service Value and Ecological Risk in Kunming City Based on GEE

Feng Jingwen; Ding Xue; Yi Bangjin

doi:10.13961/j.cnki.stbctb.2024.01.033

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Changes of Ecosystem Service Value and Ecological Risk in Kunming City Based on GEE

- Changes of Ecosystem Service Value and Ecological Risk in Kunming City Based on GEE
- Bulletin of Soiland Water Conservation Vol. 44, Issue 1, Pages: 335-345(2024)
- 作者机构：
  
  1. 云南师范大学信息学院,云南,昆明,650500
  2. 云南师范大学地理学部,云南,昆明,650500
  3. 云南省高校资源与环境遥感重点实验室,云南,昆明,650500
  4. 云南省地理空间信息技术工程技术研究中心,云南,昆明,650500
  5. 云南省地质科学研究所,云南,昆明,650051
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.01.033
  CLC： X24;F301
- Published：2024
- 稿件说明：
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Feng Jingwen, Ding Xue, Yi Bangjin. Changes of Ecosystem Service Value and Ecological Risk in Kunming City Based on GEE[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 335-345.
DOI：

Feng Jingwen, Ding Xue, Yi Bangjin. Changes of Ecosystem Service Value and Ecological Risk in Kunming City Based on GEE[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 335-345. DOI： 10.13961/j.cnki.stbctb.2024.01.033.

摘要

[目的

]

研究区域生态系统服务价值和生态风险变化及影响

为土地资源合理利用及国土空间生态修复提供决策支持。[方法

]

以Landsat遥感影像为数据源

使用GEE(Google Earth Engine)平台随机森林分类方法对云南省昆明市1990-2020年的土地利用变化信息进行提取

基于解译结果进行空间动态变化分析

采用当量因子法估算生态系统服务价值

运用生态风险模型揭示生态风险变化趋势

并借助双变量空间自相关模型计算二者的相关性。[结果

]

①1990-2020年

昆明市土地利用类型中林地和草地占地面积最大

建设用地面积明显增加

耕地、草地和林地面积减少。②昆明市生态系统服务价值总体呈逐年上升趋势

共上升3.08×10

元

生态保护政策的有效实施对生态系统服务价值的提升有积极作用;研究期间生态风险以中、低风险为主

占总面积的79 %

生态风险总体均值下降了0.12

城市经济发展与环境保护向良性态势发展。③生态风险对生态系统服务价值变化具有一定的影响。随着时间的推移

高价值-高风险区面积逐渐减少

低价值-低风险区面积逐渐增加

无明显极值。[结论

]

将区域生态系统服务价值和生态风险结合

能够较好地刻画昆明市人类活动所引起的生态环境状况的改变

为环境保护和高质量的可持续发展提供决策管理参考

有效防范生态风险

使昆明市经济发展与环境保护向良性态势发展。

Abstract

[Objective] The changes and impact of regional ecosystem services and ecological risks were studied in order to provide decision-making support for the rational utilization of land resources and ecological restoration of territorial space.[Methods] Landsat remote sensing images were used with the random forest classification method of the GEE (Google Earth Engine) platform to extract land use change information for Kunming City

Yunnan Province from 1990 to 2020. A spatial dynamic change analysis was carried out based on the interpretation results. The equivalent factor method was used to estimate ecosystem service values. An ecological risk model was used to determine the change in ecological risk over time. The correlation between ecosystem service value and ecological risk was calculated with a bivariate spatial autocorrelation model.[Results] ① Among the land use types in Kunming City from 1990 to 2020

forest land and grassland occupied the largest area

the area of construction land increased significantly

and the area of cultivated land

grassland

and forest land decreased. ② The value of ecosystem services in Kunming City showed an overall upward trend over time

with a total increase of 3.08×108 yuan. The effective implementation of ecological protection policies increased the value of ecosystem services. Ecological risks during the study period were mainly classified as medium and low risks

and accounted for 79 % of the total area. The overall average ecosystem service value decreased by 0.12

indicating that urban economic development had developed with little impact on the environment. ③ Ecological risk had a certain impact on the change of ecosystem service value

and with the passage of time

the area of high-value and high-risk areas gradually decreased

and the area of low-value and low-risk areas gradually increased

without obvious extremes.[Conclusion] The combination of regional ecosystem service value and ecological risk can better characterize changes in ecological environment of Kunming City caused by human activities

and provide decision-making and management references for environmental protection and high-quality sustainable development. effectively prevent ecological risks

and make the economic development and environmental protection of Kunming City develop to a benign situation.

关键词

Keywords

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