[1]Li Wenbin,Cao Shengkui,Cao Guangchao,et al.Spatiotemporal Patterns of Vegetation Net Primary Productivity and Their Drivers in Qinghai Lake Basin from 2000 to 2020[J].Research of Soil and Water Conservation,2024,31(05):327-336,343.[doi:10.13869/j.cnki.rswc.2024.05.004]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 05
Page number:
327-336,343
Column:
Public date:
2024-08-10
- Title:
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Spatiotemporal Patterns of Vegetation Net Primary Productivity and Their Drivers in Qinghai Lake Basin from 2000 to 2020
- Author(s):
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Li Wenbin1,2, Cao Shengkui1,2,3, Cao Guangchao1,2,3, Zhao Haoran1,2, Chen Lianxuan1,2, Hou Yaofang1,2
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(1.School of Geographical Sciences, Qinghai Normal University, Xining 810008, China; 2.Qinghai Provincial Key Laboratory of Physical and Environmental Processes, Qinghai Normal University, Xining 810008, China; 3.Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Xining 810008, China)
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- Keywords:
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Qinghai Lake Basin; NPP; spatiotemporal patterns; geographic detector
- CLC:
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Q948
- DOI:
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10.13869/j.cnki.rswc.2024.05.004
- Abstract:
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[Objective]The primary objective of this study is to investigate the spatiotemporal variations in net primary productivity(NPP)of vegetation within Qinghai Lake Basin from 2000 to 2020. Additionally, it aims to reveal the key factors and their contributive driver of changes in vegetation NPP. The research is designed to provide a baseline scientific investigation on dynamics of NPP within Qinghai Lake Basin. [Methods]We used data on vegetation NPP, temperature, precipitation, fractional vegetation cover and human activity intensity in Qinghai Lake Basin from 2000 to 2020 to analyze the spatiotemporal changes of vegetation NPP across sub-basins, elevations, and micro-terrain in Qinghai Lake Basin. We applied spatial analysis of ArcGIS, geographic detector model to conduct these analyses. Furthermore, We also investigated the correlations of vegetation NPP with temperature, precipitation, and fractional vegetation cover, as well as the driving factors of vegetation NPP. [Results](1)In the past 21 years, the annual vegetation NPP in the Qinghai Lake Basin exhibited fluctuating increase across temporal scale, with a growth rate of 2.22 g C·m2/a, and spatially increased trend from northwest to southeast.(2)The study also revealed spatially significant correlations between annual vegetation NPP and mean annual temperature, annual precipitation, and annual fractional vegetation cover, with the ratios 40%, 9% and 59%, respectively. The primary partial correlation coefficients between mean annual temperature and annual precipitation with annual vegetation NPP encompassed 59.26% and 33.39% of the basin area.(3)The results of our study also revealed that temperature(q=0.58), elevations(q=0.54)and human activity intensity(q=0.38)were principal drivers of basin-scale NPP, also, interactive impact of factors were found to better explain these drives than any of single factor. [Conclusion]The NPP of vegetation in Qinghai Lake Basin increased over temporal scales from 2000 to 2020. Our study showed spatially significant differences in NPP across elevation, subwatershed and microtopographic pattern. The interactions of temperature, altitude and human activities were the main driving factors of NPP in the Qinghai Lake Basin.