首页|Quantitatively determine the dominant driving factors of the spatial-temporal changes of vegetation NPP in the Hengduan Mountain area during 2000-2015

Quantitatively determine the dominant driving factors of the spatial-temporal changes of vegetation NPP in the Hengduan Mountain area during 2000-2015

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The Hengduan mountain area,located in the upper reaches of the Yangtze River of China,is an important ecological barrier that significantly impacts the climate and ecological environment of the surrounding region and western China as a whole.This paper introduces the gravity center model used to analyze the spatial-temporal variation patterns of vegetation Net Primary Productivity(NPP)from 2000 to 2015,which were determined by the use of MOD17A3 NPP products.Additionally,the dominant driving factors of the spatial-temporal changes of vegetation NPP of the Hengduan Mountain area were quantitatively determined with a geographical detector over 2000-2015.The results revealed that:(1)From 2000 to 2015,there was an increasing trend of vegetation NPP in the Hengduan mountain area.Throughout the whole study region,the vegetation NPP with a mean value of 611.37 gC·m-2.a.1 indicated a decreasing trend from southeast to northwest in terms of spatial distribution.(2)The gravity centers of vegetation NPP in 2000-2015 were mainly concentrated in Zhongdian County.During the study period,the gravity center of vegetation NPP moved northward,which indicated that the increment and increasing rate of vegetation NPP in the northern parts were greater than that of the southern areas.(3)The vegetation NPP showed a moderately positive correlation with temperature,accumulated temperature(＞10℃),and sunshine,while there was an overall negative relationship between NPP and precipitation.(4)The dominant factors and interactive dominant factors changed in different sub-regions over different segments of the study period.The dominant factors of most sub-regions in Hengduan mountain were natural factors,and the climate change factors played an increasingly greater role over the 16 years of the study period.

Vegetation NPPSpatial-temporal distributionDriving factorsGeographic detectorLand use change

CHEN Shu-ting、GUO Bing、ZHANG Rui、ZANG Wen-qian、WEI Cui-xia、WU Hong-wei、YANG Xiao、ZHEN Xiao-yan、LI Xing、ZHANG Da-fu、HAN Bao-min、ZHANG Hai-ling

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School of Civil Architectural Engineering,Shandong University of Technology,Zibo 255000,China

State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

Key Laboratory of Land use,Ministry of Natural Resources,China Land Survey and Planning Institute,Beijing 100035,China

Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology,Nanchang 3300

Land Satellite Remote Sensing Application Center,Ministry ofNatural Resources,Beijing 100048,China

Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China

Key Laboratory of Meteorology and Ecological Environment of Hebei Province,Shijiazhuang 050021,China

College of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,China

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Open fund of Key Laboratory of National Geographic Census and Monitoring,MNROpen Research Fund of the Key Laboratory of Digital Earth Science,Chinese Academy of SciencesOpen Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural ResourcesOpen fund of Key Laboratory of Land use,Ministry of Natural ResourcesOpen Fund of Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of TechnologyOpen foundation of MOE Key Laboratory of Western China's Environmental Systems,Lanzhou University and the fundamental Research fUniversity-Industry Collaborative Education ProgramOpen Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei ProvinceOpen Fund of Key Laboratory of Geomatics and Digital Technology of Shandong ProvinceOpen Fund of Key Laboratory of Geomatics Technology and Application Key Laboratory of Qinghai ProvinceNatural Science Foundation of Shandong Province

grant 202oNGCMo2grant 2019LDE006grant KF-2020-05-ooigrant 202015u835grant DLLJ202002grant lzujbky-2020-kbo1grant 201902208005grant Z202001Hgrant QHDX-2019-04grant ZR2018BD001

2021

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSTPCDCSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2021.18(2)
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