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

被引:67
作者
Chen, Shu-ting [1 ]
Guo, Bing [1 ,2 ,3 ,4 ,5 ,7 ,8 ]
Zhang, Rui [9 ]
Zang, Wen-qian [6 ]
Wei, Cui-xia [1 ]
Wu, Hong-wei [1 ]
Yang, Xiao [1 ]
Zhen, Xiao-yan [8 ]
Li, Xing [10 ]
Zhang, Da-fu [1 ]
Han, Bao-min [1 ]
Zhang, Hai-ling [1 ]
机构
[1] Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[3] Minist Nat Resources, China Land Survey & Planning Inst, Key Lab Land Use, Beijing 100035, Peoples R China
[4] East China Univ Technol, Key Lab Digital Land & Resources Jiangxi Prov, Nanchang 330013, Jiangxi, Peoples R China
[5] Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan 430079, Peoples R China
[6] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
[7] Minist Nat Resources, Key Lab UrbanLand Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China
[8] Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang 050021, Hebei, Peoples R China
[9] Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China
[10] Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China
关键词
Vegetation NPP; Spatial-temporal distribution; Driving factors; Geographic detector; Land use change;
D O I
10.1007/s11629-020-6404-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 center dot m(-2)center dot 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 degrees 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.
引用
收藏
页码:427 / 445
页数:19
相关论文
共 51 条
  • [2] Urbanization alters spatiotemporal patterns of ecosystem primary production: A case study of the Phoenix metropolitan region, USA
    Buyantuyev, A.
    Wu, J.
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2009, 73 (4-5) : 512 - 520
  • [3] Chen Yingying, 2015, Journal of Yangzhou University (Agricultural and Life Science Edition), V36, P104
  • [4] Assessing the effects of grazing on variations of vegetation NPP in the Xilingol Grassland, China, using a grazing pressure index
    Chi, Dengkai
    Wang, Hong
    Li, Xiaobing
    Liu, Honghai
    Li, Xiaohui
    [J]. ECOLOGICAL INDICATORS, 2018, 88 : 372 - 383
  • [5] Evaluation of satellite based primary production modelling in the semi-arid Sahel
    Fensholt, Rasmus
    Sandholt, Inge
    Rasmussen, Michael Schultz
    Stisen, Simon
    Diouf, Alioune
    [J]. REMOTE SENSING OF ENVIRONMENT, 2006, 105 (03) : 173 - 188
  • [6] Vegetation net primary productivity and its response to climate change during 2001-2008 in the Tibetan Plateau
    Gao, Yanhua
    Zhou, Xu
    Wang, Qiao
    Wang, Changzuo
    Zhan, Zhiming
    Chen, Liangfu
    Yan, Junxia
    Qu, Ran
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2013, 444 : 356 - 362
  • [7] Spatial-temporal shifts of ecological vulnerability of Karst Mountain ecosystem-impacts of global change and anthropogenic interference
    Guo, Bing
    Zang, Wenqian
    Luo, Wei
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 741
  • [8] Improved evaluation method of the soil wind erosion intensity based on the cloud-AHP model under the stress of global climate change
    Guo, Bing
    Zang, Wenqian
    Yang, Xiao
    Huang, Xiangzhi
    Zhang, Rui
    Wu, Hongwei
    Yang, Luoan
    Wang, Zhen
    Sun, Guangqiang
    Zhang, Yi
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 746
  • [9] Soil Salizanation Information in the Yellow River Delta Based on Feature Surface Models Using Landsat 8 OLI Data
    Guo, Bing
    Zang, Wenqian
    Zhang, Rui
    [J]. IEEE ACCESS, 2020, 8 : 94394 - 94403
  • [10] Spatial and temporal change patterns of net primary productivity and its response to climate change in the Qinghai-Tibet Plateau of China from 2000 to 2015
    Guo, Bing
    Zang, Wenqian
    Yang, Fei
    Han, Baomin
    Chen, Shuting
    Liu, Yue
    Yang, Xiao
    He, Tianli
    Chen, Xi
    Liu, Chunting
    Gong, Rui
    [J]. JOURNAL OF ARID LAND, 2020, 12 (01) : 1 - 17