Ecology and Environment

Dynamic change and driving force of net primary productivity in Qinghai Lake Basin

  • Xueqing WU ,
  • Lele ZHANG ,
  • Liming GAO ,
  • Yankun LI ,
  • Xuanchen LIU
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  • 1. Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, College of Geographical Sciences, Qinghai Normal University, Xining 810008, Qinghai, China
    2. Qinghai Normal University, MOE Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Xining 810008, Qinghai, China
    3. Academy of Plateau Science and Sustainability, Xining 810008, Qinghai, China
    4. School of Cyberspace Security,Gansu University of Political Science and Law, Lanzhou 730070, Gansu, China

Received date: 2023-04-28

  Revised date: 2023-07-17

  Online published: 2023-12-01

Abstract

The analysis of Net Primary Productivity (NPP) and the driving factors in the Qinghai Lake Basin can provide certain references for the ecological management and sustainable development of the basin. This study estimated the NPP value of the Qinghai Lake Basin based on the Carnegie-Ames-Stanford Approach (CASA) model and quantitatively evaluated the dynamic changes and driving factors of NPP in the Qinghai Lake Basin between 2000 and 2018 through trend analysis, Hurst index, and Geographic Detector. From the perspective of spatial distribution, the results show that the annual average NPP value of the Qinghai Lake Basin was 218.88 g C·m-2. The highest value of the annual average NPP was distributed in the north and south of the Qinghai Lake (375.85 g C·m-2) and the lowest value was distributed on the east bank of the Qinghai Lake (0.11 g C·m-2). From the perspective of time change, the annual average NPP of the basin showed an upward trend between 2000 and 2018, with an increase of 1.61 g C·m-2·a-1, reaching the highest value of 247.30 g C·m-2 in 2018. The seasonal variation showed that the NPP value was highest in July and lowest in January. In the future trend of NPP, Hurst index of less than 0.5 accounted for 75.6% of the study area, indicating that the future trend of NPP of vegetation in the Qinghai Lake Basin may be opposite to the present. Land use types are greatly affected by natural factors; therefore, more attention should be paid to watershed topographic factors and human activities.

Cite this article

Xueqing WU , Lele ZHANG , Liming GAO , Yankun LI , Xuanchen LIU . Dynamic change and driving force of net primary productivity in Qinghai Lake Basin[J]. Arid Zone Research, 2023 , 40(11) : 1824 -1832 . DOI: 10.13866/j.azr.2023.11.12

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