基于时间序列遥感图像和谷歌地球引擎(GEE)检测露天采矿对干旱和半干旱地区生态系统服务价值的影响。

IF 2.3 Q2 ECOLOGY BMC ecology and evolution Pub Date : 2024-02-29 DOI:10.1186/s12862-024-02213-6
Qinyu Wu, Liya Yang, Jiaxin Mi
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引用次数: 0

摘要

生态系统服务价值 (ESV) 是指自然生态系统为人类提供的各种有益功能和产品,是评估生态系统状况和人类福祉的重要指标。露天采矿是严重破坏地表环境的人类活动之一,但其对生态系统服务的长期影响缺乏系统评估。本研究以鄂尔多斯露天采矿区为例,基于谷歌地球引擎平台计算了 1990 年至 2020 年的 ESV 值。利用曼-肯德尔陶-b 与森氏方法(森 + mk 检验)和联结点回归模型分析了其时空变化特征。进一步揭示了露天采矿对 ESV 的影响以及 ESV 的变化趋势。结果表明(1)从 1990 年到 2020 年,研究区的动态 ESV 水平波动较大,总体呈下降趋势,降幅为 89.45%。(2)在九种生态系统服务中,大部分生态系统服务具有显著差异(p
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Detecting the effects of opencast mining on ecosystem services value in arid and semi-arid areas based on time-series remote sensing images and Google Earth Engine (GEE).

Ecosystem Services Value (ESV) are the various beneficial functions and products that natural ecosystems provide to humans, and are important indicators for evaluating ecosystem conditions and human well-being. Opencast mining is one of the human activities that severely damage the surface environment, but its long-term impact on ecosystem services lacks systematic assessment. This study takes the Ordos opencast mining area as an example, and calculates the value of ESV from 1990 to 2020 based on the Google Earth Engine platform. Mann-Kendall Tau-b with Sen's Method (Sen + mk test) and Joinpoint regression model were used to analyzes its spatiotemporal variation characteristics. Further revealed the impacts of opencast mining on ESV as well as the trend of ESV changes. The results show that: (1) The dynamic ESV levels in the study area fluctuated considerably from 1990 to 2020 with an overall decreasing trend of 89.45%. (2) Among nine types ecosystem services, most of them were significantly different (p < 0.001) between mining areas and control areas, with biodiversity protection (BP), climate regulation (CR), gas regulation (GR), soil formation and retention (SFR), water supply (WS) and waste treatment (WT) showed a significant decrease between 1990 and 2020. (3) In the past 30 years, the ESV of the study area showed an overall improvement trend, where the improved area accounted for 48.45% of the total area of the study area. However, the degraded area also accounted for 21.28, and 17.19% of the area belonged to severe degradation. With 67% of the significantly degraded areas distributed within mining concessions. (4) The trend of ESV changes in the mining impact areas and the control area showed significant differences. The ESV of the control area increased continuously, with an average annual percentage change (AAPC) of 0.7(95%CI:0.50 ~ 0.9, P < 0.001) from 1990 to 2020; while the ESV of the mining impact areas first stabilized and then decreased significantly, with an AAPC of - 0.2(95%CI:- 0.3 ~ - 0.1,P < 0.001) from 1990 to 2020. This study provides scientific support for formulating ecosystem management, restoration plans, and payment for ecosystem service policies, which is conducive to achieving regional sustainable development and improving human well-being.

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