文献类型：期刊文献

英文题名：Analysis of long-term wetland variations in China using land use/land cover dataset derived from Landsat images

作者：An, Xuexian[1,2,3] Jin, Wenping[4] Zhang, Huaiqing[5] Liu, Yang[5] Zhang, Meng[1,2,3]

第一作者：An, Xuexian

通信作者：Zhang, M[1];Zhang, M[2];Zhang, M[3]

机构：[1]Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China;[2]State Forestry Adm Forest Resources Management & M, Key Lab, Changsha 410004, Peoples R China;[3]Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China;[4]Hunan Inst Surveying & Mapping Technol, Changsha, Peoples R China;[5]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份：2022

卷号：145

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20224713147897);Scopus(收录号：2-s2.0-85142252337);WOS:【SCI-EXPANDED(收录号:WOS:000886601300001)】；

基金：Acknowledgements This study was funded by the National Natural Science Foundation of China (41901385) , the Natural Science Foundation of Hunan Province of China (2022JJ40873) , in part by the Education Department of Hunan Province of China (21A0177) .

语种：英文

外文关键词：Wetland; LULC data; Spatio-temporal changes; Drive mechanism; NPP; China

摘要：Wetlands are one of the most productive ecosystems on earth and play an important role in maintaining ecological balance and regulating climate. In this paper, 30 m resolution land use/land cover (LULC) data (2000, 2005, 2010, 2015, 2020) were employed to analyze the characteristics of spatial and temporal changes in the distribution of wetlands in China and their evolution patterns in the last two decades. The results indicated that the total area of wetlands in China showed an increasing trend during 2000-2020. During the study period, provinces with more increase in wetland area were concentrated in Qinghai Province, Tibet Autonomous Region and Xinjiang Uygur Autonomous Region. And the provinces with more reduction in wetland area were mainly in Inner Mongolia Autonomous Region. The analysis of wetland change driving mechanism by introducing PLS-SEM model and GWR model found that good climate conditions as well as agricultural and economic conditions are favorable for wetland conservation in 2000-2020, while accelerated urbanization and population growth showed negative effects on wetland change. The spatial distribution pattern of wetland and NPP (Net Primary Production) changes showed spatial consistency in the extent of NPP changes and wetland transfer. The results of this study are intended to provide a basis for wetland conservation, rational use of wetland resources and sci-entific restoration in China.