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[1]CHEN Xiaojie,ZHANG Changcheng,ZHANG Jinting,et al.Analysis of the Spatiotemporal Evolution Patterns of Vegetation Net Primary Productivity and Its Influencing Factors Based on CASA Model[J].Research of Soil and Water Conservation,2022,29(03):253-261.

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Analysis of the Spatiotemporal Evolution Patterns of Vegetation Net Primary Productivity and Its Influencing Factors Based on CASA Model

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 03 Page number: 253-261 Column: Public date: 2022-04-20

Title:: Analysis of the Spatiotemporal Evolution Patterns of Vegetation Net Primary Productivity and Its Influencing Factors Based on CASA Model

Author(s):: CHEN Xiaojie¹, ZHANG Changcheng², ZHANG Jinting¹, WANG Jing¹; (1.School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China; 2.Wuhan Brigade of Hydrogeology and Engineering Geology, Wuhan 430051, China)

Keywords:: net primary productivity; CASA model; climate change; gravity center model; Hubei Province

CLC:: Q948

DOI:: -

Abstract:: In order to reveal the spatiotemporal variations of NPP and its influencing factors, the NPP of vegetation in Hubei Province was calculated from 2000 to 2018 by using the CASA model. Based on the combination of meteorological data with land use data, the spatiotemporal variations of NPP and its influencing factors were analyzed by using the gravity center model, correlation analysis and contribution index. The results show that:(1)the annual NPP ranged from 532.19 to 656.49 g C/(m²·a)in Hubei Province from 2000 to 2018, and showed an increasing trend of fluctuation;(2)the spatial distribution of vegetation NPP in Hubei Province showed a decreasing trend from northwest to southeast, and the migration trajectory of vegetation NPP was M-shaped; the increment and growth rate of vegetation NPP in northwest region were higher than those in southeast region;(3)the regions with significant correlation between NPP and temperature mainly distributed in Jingmen, Jingzhou and southeastern Yichang, while the regions with significant correlation between NPP and rainfall mainly distributed in Suizhou, Xiangyang and northern Xiaogan;(4)the change of total NPP from woodland to cultivated land was the most important driver of the NPP gains and losses caused by land use change, and the added value was 27.42×10^-2 Tg C; land use changes of cultivated land and construction land had the highest contribution rate to NPP.

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Last Update: 2022-04-20