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遥感生态指数法评估稀土元素采矿的恢复状况。

A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining.

机构信息

College of Landscape Architecture, Beijing Forestry University, Beijing 100083, China.

School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China.

出版信息

Comput Intell Neurosci. 2022 Jul 14;2022:5335419. doi: 10.1155/2022/5335419. eCollection 2022.

DOI:10.1155/2022/5335419
PMID:35875751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9303088/
Abstract

In order to meet the requirements for comprehensive and multidimensional generalization of ecological management effectiveness evaluation indexes in the context of ecological restoration advocating comprehensive management by multiple means, this paper explores the rationality of using RSEI as an ecological management effectiveness evaluation index to adapt to the systematic transformation of the management goal of abandoned mine restoration from ecological restoration to regional socioeconomic sustainable development. Based on Landsat-8 image data, the remote sensing ecological index (RSEI) was used to evaluate the dynamic changes and spatial and temporal differences of the ecological environment in the study area under the long-term multimeans comprehensive management. The RSEI is suitable for evaluating the effectiveness of comprehensive ecological management in mining areas with a large amount of bare soil. The regional RSEI mean value increased by 0.029 in the early stage and 0.051 in the later stage by fragmentation management, indicating a better effect of multimeans comprehensive management. The remote sensing ecological index can objectively reflect the difference of spatial distribution characteristics of ecological environment in the four "Ecological+" governance regions. It can both objectively reflect the ecological status of the study area and reflect the differentiated spatial distribution characteristics of the ecological environment in different treatment areas, which is of long-term practical significance to the ecological construction of the study area. This study provides a theoretical reference for ecological assessment of complex situation under difficult site conditions.

摘要

为了满足生态修复背景下综合多维概括生态管理效果评价指标的要求,提倡多种手段综合治理,本文探讨了使用 RSEI 作为生态管理效果评价指标的合理性,以适应废弃矿山修复管理目标从生态修复到区域社会经济可持续发展的系统转变。基于 Landsat-8 图像数据,利用遥感生态指数(RSEI)评价了长期多手段综合治理下研究区生态环境的动态变化及时空差异。RSEI 适用于评价大面积裸土矿区综合生态管理的效果。分区 RSEI 均值在碎化管理的早期和后期分别增加了 0.029 和 0.051,表明多手段综合治理效果较好。遥感生态指数可以客观反映四个“生态+”治理区生态环境空间分布特征的差异。既能客观反映研究区的生态状况,又能反映不同处理区生态环境的差异化空间分布特征,对研究区的生态建设具有长期的实际意义。本研究为复杂困难场地条件下的生态评估提供了理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/976db7e7578a/CIN2022-5335419.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/63fdf708523a/CIN2022-5335419.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/c95bb3d28eb4/CIN2022-5335419.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/53be69b5b986/CIN2022-5335419.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/ec979cbd358f/CIN2022-5335419.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/f55ca9e65ec5/CIN2022-5335419.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/976db7e7578a/CIN2022-5335419.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/63fdf708523a/CIN2022-5335419.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/c95bb3d28eb4/CIN2022-5335419.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/53be69b5b986/CIN2022-5335419.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/ec979cbd358f/CIN2022-5335419.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/f55ca9e65ec5/CIN2022-5335419.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/9303088/976db7e7578a/CIN2022-5335419.006.jpg

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