干旱区科学2023,Vol.15Issue(1) :91-108.

Quantitative distinction of the relative actions of climate change and human activities on vegetation evolution in the Yellow River Basin of China during 1981-2019

LIU Yifeng GUO Bing LU Miao ZANG Wenqian YU Tao CHEN Donghua
干旱区科学2023,Vol.15Issue(1) :91-108.

Quantitative distinction of the relative actions of climate change and human activities on vegetation evolution in the Yellow River Basin of China during 1981-2019

LIU Yifeng 1GUO Bing 2LU Miao 3ZANG Wenqian 4YU Tao 5CHEN Donghua6
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作者信息

  • 1. School of Civil Architectural Engineering,Shandong University of Technology,Zibo 255000,China
  • 2. School of Civil Architectural Engineering,Shandong University of Technology,Zibo 255000,China;Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518000,China;Key Laboratory of National Geographic Census and Monitoring,Ministry of Natural Resources,Wuhan 430072,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Science
  • 3. Key Laboratory of Agricultural Remote Sensing,Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China
  • 4. Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Zhongke Langfang Institute of Spatial Information Applications,Langfang 065000,China
  • 5. Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Zhongke Langfang Institute of Spatial Information Applications,Langfang 065000,China;College of Computer and Information Engineering,Chuzhou University,Chuzhou 239000,China
  • 6. College of Computer and Information Engineering,Chuzhou University,Chuzhou 239000,China
  • 折叠

Abstract

Under the combined influence of climate change and human activities,vegetation ecosystem has undergone profound changes.It can be seen that there are obvious differences in the evolution patterns and driving mechanisms of vegetation ecosystem in different historical periods.Therefore,it is urgent to identify and reveal the dominant factors and their contribution rates in the vegetation change cycle.Based on the data of climate elements(sunshine hours,precipitation and temperature),human activities(population intensity and GDP intensity)and other natural factors(altitude,slope and aspect),this study explored the spatial and temporal evolution patterns of vegetation NDVI in the Yellow River Basin of China from 1989 to 2019 through a residual method,a trend analysis,and a gravity center model,and quantitatively distinguished the relative actions of climate change and human activities on vegetation evolution based on Geodetector model.The results showed that the spatial distribution of vegetation NDVI in the Yellow River Basin showed a decreasing trend from southeast to northwest.During 1981-2019,the temporal variation of vegetation NDVI showed an overall increasing trend.The gravity centers of average vegetation NDVI during the study period was distributed in Zhenyuan County,Gansu Province,and the center moved northeastwards from 1981 to 2019.During 1981-2000 and 2001-2019,the proportion of vegetation restoration areas promoted by the combined action of climate change and human activities was the largest.During the study period(1981-2019),the dominant factors influencing vegetation NDVI shifted from natural factors to human activities.These results could provide decision support for the protection and restoration of vegetation ecosystem in the Yellow River Basin.

Key words

vegetation evolution/driving mechanisms/climate change/human activities/relative actions/Geodetector/Yellow River Basin

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基金项目

国家自然科学基金(42101306)

国家自然科学基金(4217107)

山东省自然科学基金(ZR2021MD047)

中国科学院战略规划重点项目(XDA2002040203)

Open Fund of the Key Laboratory of National Geographic Census and Monitoring,Ministry of Natural Resources(MNR)(2020NGCM02)

Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources(KF-2020-05-001)

Major Project of the High Resolution Earth Observation System of China(GFZX0404130304)

出版年

2023
干旱区科学
中国科学院新疆生态与地理研究所,科学出版社

干旱区科学

CSTPCDCSCD北大核心
影响因子:1.743
ISSN:1674-6767
被引量2
参考文献量13
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