Journal of Guangxi Normal University(Natural Science Edition) ›› 2025, Vol. 43 ›› Issue (5): 218-232.doi: 10.16088/j.issn.1001-6600.2024101702

• Ecology and Environmental Science Research • Previous Articles     Next Articles

Quantitative Assessment of Climate Change Impacts on Vegetation GPPGS Changes in Yunnan Province

WAN Ailing1, LIAO Chaolian1, ZHANG Tianxiang1, CHEN Yulin1, YE Jiangxia2, ZHOU Ruliang1*   

  1. 1. College of Soil and Water Conservation, Southwest Forestry University, Kunming Yunnan 650224, China;
    2. College of Forestry, Southwest Forestry University, Kunming Yunnan 650224, China
  • Received:2024-10-17 Revised:2024-12-24 Online:2025-09-05 Published:2025-08-05

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Abstract: Vegetation gross primary productivity (GPP) is a key parameter for measuring the carbon cycle in terrestrial ecosystems. The study of growing season gross primary productivity (GPPGS) of vegetation in Yunnan Province can help to understand the vegetation dynamics and carbon cycling pattern of terrestrial ecosystems, which is of great significance to the sustainable development of regional ecosystems. Using Theil-Sen Median trend analysis and Mann-Kendall significance test, the spatial and temporal characteristics of vegetation GPPGS changes in Yunnan Province were analysed, and then the direct, indirect and combined effects of climatic factors on the changes of vegetation GPPGS were revealed by using the pathway analysis. The results showed that: ① the vegetation GPPGS in Yunnan Province from 2001 to 2020 showed a fluctuating upward trend, with an increasing rate of 1.216 g·(m2·a)-1; most of the vegetation GPPGS showed an upward trend, among which the meadows had the highest rate of increase, which was 1.674 g·(m2·a)-1. ② The area with an upward trend in vegetation GPPGS in Yunnan Province accounted for 73.83%, with the area with an upward trend in alpine vegetation, meadow, coniferous forest, shrubland, herbaceous vegetation, cultivated plants, and broad-leaved forest being 85.21%, 84.64%, 79.11%, 75.85%, 73.58%, 71.76%, and 58.67%, respectively. ③ As a result of the through-trail results, changes in the GPPGS of both meadow and coniferous forests were most strongly influenced by temperature fluctuations, with average temperature playing a central role, precipitation was the main factor causing the change in vegetation GPPGS of herbaceous vegetation and cultivated plants, and the primary influence on the variation of vegetation GPPGS in alpine vegetation, shrublands, and broadleaf forests was solar radiation. ④ The dominant factors that directly influenced vegetation GPPGS in Yunnan Province accounted for average temperature (54.87%), precipitation (7.86%), and solar radiation (9.08%).

Key words: vegetation, gross primary productivity(GPP), pathway analysis, Sen Median trend analysis, Mann-Kendall significance test, vegetation types, Yunnan, China

CLC Number:  Q948
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