[1]闫戈丁,景海涛*,何 湜,等.太行山区生态环境质量时空变化与演变趋势[J].山地学报,2023,(3):335-347.[doi:10.16089/j.cnki.1008-2786.000752 ]
 YAN Geding,JING Haitao*,HE Shi,et al.Spatial-Temporal Variation and Evolutionary Trends of Eco-Environment Quality in the Taihang Mountains, China[J].Mountain Research,2023,(3):335-347.[doi:10.16089/j.cnki.1008-2786.000752 ]
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太行山区生态环境质量时空变化与演变趋势
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2023年第3期
页码:
335-347
栏目:
山地环境
出版日期:
2023-05-25

文章信息/Info

Title:
Spatial-Temporal Variation and Evolutionary Trends of Eco-Environment Quality in the Taihang Mountains, China
文章编号:
1008-2786-(2023)3-335-13
作者:
闫戈丁景海涛*何 湜李 慧郭桓超
(河南理工大学 测绘与国土信息工程学院,河南 焦作 454000)
Author(s):
YAN Geding JING Haitao* HE Shi LI Hui GUO Huanchao
(School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China)
关键词:
遥感生态指数 生态环境质量 Mann-Kendall 趋势分析 时空变化 太行山
Keywords:
Remote Sensing Ecological Index(RSEI) eco-environment quality Mann-kendall trend analysis spatial-temporal variation the Taihang Mountains
分类号:
X87; X821
DOI:
10.16089/j.cnki.1008-2786.000752
文献标志码:
A
摘要:
人类活动不可避免地会对区域生态系统造成一定程度影响。客观评价生态环境质量,是有效控制改善生态环境质量,实现可持续发展的前提。生态环境质量变化是多因素共同作用结果,相比于其他研究方法,利用遥感数据评估生态环境的遥感生态指数(RSEI)可以快速、全面、高效地监测生态环境状态。太行山脉是华北平原与黄土高原的分界线,受到自然环境变化以及人类活动影响,植被一度大幅减少,水土流失严重。本研究以2001—2021年Landsat遥感影像为数据源,采用RSEI为计算指标,结合Mann-Kendall 趋势分析与Moran's I指数,基于GEE云平台开展太行山生态环境质量的时空格局以及变化趋势研究。研究结果表明:(1)2001—2021年RSEI均值为0.519,时间上呈现先下降后增加趋势,空间上呈中间高四周低的分布特征;(2)太行山地区生态环境质量有明显的空间自相关性,生态环境质量高-高聚类多集中于山区的林地、草地,而低-低聚类多集中于平原的人造地表以及耕地;(3)研究区域生态环境质量改善地区多位于西部,而东部地区存在持续性退化区域。整体上,未来生态变化趋势主要以改善提升为主,但仍有21.49%的区域存在退化趋势。本研究可为区域生态环境动态监测治理与可持续发展提供科学参考。
Abstract:
Human activities will inevitably have some negative impact on regional ecosystems. Changes in eco-environment quality are a result of joint action of multiple factors. Objective evaluation of ecological environment quality is the premise of effective control and improvement of ecological environment quality and sustainable development. The change in the quality of the ecological environment is the result of multiple factors, and compared with other research methods, the use of remote sensing data to evaluate the Remote Sensing Ecological Index(RSEI)can rapidly, comprehensively, and efficiently monitor the ecological environment status.

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备注/Memo

备注/Memo:
收稿日期(Received date): 2022-12-15; 改回日期(Accepted date): 2023-06-02
基金项目(Foundation item): 河南省高等学校重点科研项目(23A170016)。[Key Scientific Research Project of Henan Higher Education Institutions(23A170016)]
更新日期/Last Update: 2023-05-30