干旱区生态环境知识资源中心(Arid): 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)

Arid

DOI	10.1186/s12862-024-02213-6
	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)
	Wu, Qinyu; Yang, Liya; Mi, Jiaxin
通讯作者	Wu, QY ; Mi, JX
来源期刊	BMC ECOLOGY AND EVOLUTION
EISSN	2730-7182
出版年	2024
卷号	24 期号:1
英文摘要	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 similar to 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 similar to - 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.
英文关键词	Ecosystem services value Mining impact Google earth engine platform Sen plus MK test Joinpoint regression model Ordos opencast mining areas
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:001176373300001
WOS关键词	CHINA
WOS类目	Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向	Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403044
推荐引用方式 GB/T 7714	Wu, Qinyu,Yang, Liya,Mi, Jiaxin. 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)[J],2024,24(1).
APA	Wu, Qinyu,Yang, Liya,&Mi, Jiaxin.(2024).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).BMC ECOLOGY AND EVOLUTION,24(1).
MLA	Wu, Qinyu,et al."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)".BMC ECOLOGY AND EVOLUTION 24.1(2024).