Ecological health analysis of wetlands in the middle reaches of Yangtze River under changing environment

作     者：Shengqing Zhang Xiaoyan Zhai Peng Yang Jun Xia Sheng Hu Libo Zhou Cai Fu 

作者机构：Hubei Key Laboratory of Regional Ecology and Environmental ChangeSchool of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China State Key Laboratory of Simulation and Regulation of Water Cycle in River BasinResearch Center on Flood and Drought Disaster ReductionChina Institute of Water Resources and Hydropower ResearchBeijingPeople’s Republic of China State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhanPeople’s Republic of China Yangtze Valley Water Environment Monitoring CenterWuhanPeople’s Republic of China Wuhan CGeo Clouds Science&Tech Co.LtdWuhanPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2023年第16卷第1期

页      面：3125-3144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）] 0907[农学-林学] 07[理学] 08[工学] 0903[农学-农业资源与环境] 0901[农学-作物学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0713[理学-生态学] 

基　　金：supported by Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin(China Institute of Water Resources and Hydropower Research)[grant number IWHR-SKL-202217] Open Fund of National Engineering Research Center for Geographic Information System,China University of Geosciences[grant number 2021KFJJ01] National Nature Science Foundation of China[grant number 42171047] 

主　　题：Remote sensing machine learning ecological prediction ecological change Yangtze River basin 

摘      要：Changes in wetland ecosystems have a critical impact on the local ecology and species *** development scenarios and policies are key factors influencing their ***,we studied changes of wetlands in the middle Yangtze River basin(MYRB)in 2001-2020,and a patch-generated land use simulation(PLUS)model and random forest(RF)method were applied to predict and analyze the changes under different scenarios in the MYRB in the future(i.e.2035-2095).The results indicated that:(1)The regions with high wetland proportions were concentrated in the central and eastern MYRB in 2001-2020,with a 1.5%decrease in overall wetland area;(2)The RF could simulate the future ecological quality with training and testing accuracies of 0.98 and 0.92,respectively;(3)Remote Sensing Ecological Index(RSEI)less than 0.5 in the central and eastern regions and 13.3%reduction in the northwest in the SSP245 *** general,the study provides a basis for future regional studies of ecosystem quality and provides data to support wetland conservation and management.