Response of revegetation to climate change with meso- and micro-scale remote sensing in an arid desert of China
Response of revegetation to climate change with meso-and micro-scale remote sensing in an arid desert of China作者机构:Shapotou Desert Research and Experimental StationNorthwest Institute of Eco-Environment and ResourcesChinese Academy of ScienceLanzhouGansu 730000China Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu ProvinceNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China University of Chinese Academy of SciencesBeijing 100049China
出 版 物:《Research in Cold and Arid Regions》 (寒旱区科学(英文版))
年 卷 期:2021年第13卷第1期
页 面:43-52页
核心收录:
学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 07[理学] 070601[理学-气象学] 08[工学] 0706[理学-大气科学] 0713[理学-生态学]
基 金:The authors gratefully acknowledge the editor and two anonymous reviewers for valuable comments on the manuscript.We also acknowledge DingHai Zhang for their help in the data analysis.This work was supported by the Funds for Creative Research Groups of China(Grant No.41621001) the National Natural Science Foundation of China(Grant Nos.41530746 41901064) the Foundation for Excellent Youth Scholars of NIEER,CAS
主 题:vegetation activity climate change NDVI trend restored ecosystem meso-and micro-scale
摘 要:The revegetation protection system(VPS)on the edge of the Tengger Desert can be referred to as a successful model of sand control technology in China and even the world,and there has been a substantial amount of research on revegetation ***,it is unclear how meso-and micro-scale revegetation activity has responded to climatic change over the past *** evaluate the relative influence of climatic variables on revegetation activities in a restored desert ecosystem,we analysed the trend of revegetation change from 2002 to 2015 using a satellite-derived normalized difference vegetation index(NDVI)*** time series of the NDVI data were decomposed into trend,seasonal,and random components using a segmented regression *** results of the segmented regression model indicate a changing trend in the NDVI in the VPS,changing from a decrease(−7×10−3/month)before 2005 to an increase(0.3×10−3/month)after *** found that precipitation was the most important climatic factor influencing the growing season NDVI(P0.05),while vegetation growth sensitivity to water and heat varied significantly in different *** the case of precipitation reduction and warming in the study area,the NDVI of the VPS could still maintain an overall slow upward trend(0.04×10−3/month),indicating that the ecosystem is *** findings suggest that the VPS has been successful in maintaining stability and sustainability under current climate change conditions and that it is possible to introduce the VPS in similar areas as a template for resistance to sand and drought hazards.