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检测过去三十年中生态退化和生态恢复的社会-生态驱动因素和影响阈值。

Detection of social-ecological drivers and impact thresholds of ecological degradation and ecological restoration in the last three decades.

机构信息

School of Land Science and Technology, China University of Geosciences, Beijing 100083, China.

School of Land Science and Technology, China University of Geosciences, Beijing 100083, China; Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100035, China; Technology Innovation Center for Ecological Restoration in Mining Areas, Ministry of Natural Resources, Beijing 100083, China.

出版信息

J Environ Manage. 2022 Sep 15;318:115513. doi: 10.1016/j.jenvman.2022.115513. Epub 2022 Jun 24.

Abstract

Special consideration should be given to the differential coupling relationships between natural and anthropogenic factors on ecological degradation and ecological restoration. However, few studies have focused on how to quantify the contribution rate of social-ecological interactions to vegetation growth and determine the impact thresholds of vegetation coverage at the county scale. Notably, it is more conducive to evaluating the impact of anthropogenic factors on vegetation coverage by integrating ecological land use policy into the research framework. This study combined remote sensing technology, as well as the Geo-detector model and elasticity coefficient to identify the key factors affecting ecological degradation and ecological restoration and quantitatively determine the impact thresholds from the aspects of climate change, topography, hydrological condition, human disturbance, and ecological land use policy. The results showed that ecosystems shifted from severe degradation (1990-2000) to restoration (2000-2010) and then to slight degradation (2010-2020). Meteorological factors and topographic factors revealed a stronger impact on ecological degradation and ecological restoration before the implementation of large-scale ecological engineering, and then they were most affected by ecological land use policy. In addition, the ecological thresholds of some factors were found in this study. Specifically, when average annual precipitation and slope reached the threshold of 523 mm and 5° respectively under ecological degradation, they had the greatest influence on vegetation coverage. Under ecological degradation and ecological restoration, the threshold of altitude was 1500 mm, and the threshold of drainage density was 10 and 14, respectively. The information from this study is expected to enhance the practical value of ecological research and provide an important reference for ecological standards and sustainable environmental management.

摘要

应特别考虑自然和人为因素对生态退化和生态恢复的差异耦合关系。然而,很少有研究关注如何量化社会-生态相互作用对植被生长的贡献率,并确定县级植被覆盖度的影响阈值。值得注意的是,将生态土地利用政策纳入研究框架更有利于评估人为因素对植被覆盖度的影响。本研究结合遥感技术以及地理探测器模型和弹性系数,从气候变化、地形、水文条件、人类干扰和生态土地利用政策等方面,识别影响生态退化和生态恢复的关键因素,并定量确定影响阈值。结果表明,生态系统从严重退化(1990-2000 年)转变为恢复(2000-2010 年),然后再次转变为轻度退化(2010-2020 年)。在大规模生态工程实施之前,气象因素和地形因素对生态退化和生态恢复的影响较大,然后受生态土地利用政策的影响最大。此外,本研究还发现了一些因素的生态阈值。具体来说,在生态退化下,当平均年降水量和坡度分别达到 523mm 和 5°时,对植被覆盖度的影响最大。在生态退化和生态恢复下,海拔的阈值为 1500mm,排水密度的阈值分别为 10 和 14。本研究提供的信息有望提高生态研究的实用价值,并为生态标准和可持续环境管理提供重要参考。

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