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

最小化 最大化

Vol18 No.2: 427-445

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

Author】CHEN Shu-ting1; GUO Bing1,2,3,4,5,7,8*; ZHANG Rui9*; ZANG Wen-qian 6*; WEI Cui-xia1; WU Hong-wei1; YANG Xiao1; ZHEN Xiao-yan8; LI Xing10; ZHANG Da-fu1; HAN Bao-min1; ZHANG Hai-ling1

Addresses】1 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; 4 Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, China; 5 Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Wuhan 430079, China; 6 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 7 Key Laboratory of UrbanLand Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China; 8 Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China; 9 Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China; 10 College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China

Corresponding author】GUO Bing; ZHANG Rui; ZANG Wen-qian

Citation】Chen ST, Guo B, Zhang R, et al. (2021) Quantitatively determine the dominant driving factors of the spatial–temporal changes of vegetation NPP in the Hengduan Mountain area during 2000-2015. Journal of Mountain Science 18(2). https://doi.org/10.1007/s11629-020-6404-9

DOI】https://doi.org/10.1007/s11629-020-6404-9

Abstract】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°C), 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.

Keywords】Vegetation NPP; Spatial-temporal distribution; Driving factors; Geographic detector; Land use change