Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
College of Resources and Environment Science, Hebei Normal University; Key laboratory of environmental evolution and ecological construction of Hebei province, Shijiazhuang 050024, China.
Int J Environ Res Public Health. 2019 Jun 26;16(13):2258. doi: 10.3390/ijerph16132258.
Land degradation is one of the world's most serious environmental issues. Human activities play an important role in it. Therefore, human-induced land degradation monitoring is of crucial scientific significance in revealing the evolution of land degradation and guiding its governance. Based on the residual trend (RESTREND) approach and using Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) 3g and monthly precipitation as data sources, a quantitative evaluation is conducted on the conditions of human-induced land degradation during 1982-2012 in northern China. The results indicate that (1) the "optimal cumulative precipitation-NDVImax" regression model constructed herein can improve the capability of recognizing human-induced land degradation of arid and semiarid areas in the RESTREND approach. Moreover, long time-series NDVI and precipitation data may reduce the uncertainty of quantifying human-induced land degradation. (2) In the past 3 decades, northern China has experienced three stages of human-induced land degradation, i.e., rapid development, overall reversal with local development, and continuous reversion. Human-induced land degradation in the agro-pastoral ecotone of northern China has shown a rapid restoration trend since the 1990s. (3) It is believed that the dominant factor of land degradation has a significant spatial-temporal scale effect and spatial heterogeneity. Therefore, concrete issues should be specifically analyzed to improve our understanding of land degradation development and reversal, the spatial-temporal pattern and the driving forces of land degradation in the past 3 decades in northern China. Climate change may be the main driving force of land degradation. However, the influence of human activities on the development and reversal of land degradation in small areas and in a short time is more remarkable.
土地退化是世界上最严重的环境问题之一。人类活动在其中起着重要作用。因此,人为土地退化监测对于揭示土地退化的演变和指导其治理具有至关重要的科学意义。本研究基于剩余趋势(RESTREND)方法,利用全球植被指数制图与监测(GIMMS)归一化差值植被指数(NDVI)3g 和月降水数据,对 1982-2012 年中国北方人为土地退化状况进行了定量评价。结果表明:(1)构建的“最优累积降水-NDVI max”回归模型可提高 RESTREND 方法对干旱半干旱区人为土地退化的识别能力;长时间序列 NDVI 和降水数据可降低人为土地退化定量的不确定性。(2)过去 30 年,中国北方经历了人为土地退化快速发展、整体逆转局部发展、持续逆转三个阶段,北方农牧交错带人为土地退化自 20 世纪 90 年代以来呈现快速恢复趋势。(3)认为土地退化主导因素具有显著的时空尺度效应和空间异质性,应具体分析具体问题,以提高对中国北方过去 30 年土地退化发展与逆转、时空格局及其驱动力的认识。气候变化可能是土地退化的主要驱动因素,但人类活动对小区域和短时间内土地退化的发展和逆转的影响更为显著。