气候变化和人类活动对祁连山国家公园植被净初级生产力的定量影响
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中国科学院"西部之光"交叉团队项目;国家重点研发计划项目(2020YFA0607702);国家"万人计划"青年拔尖人才项目;第二次青藏高原综合科学考察研究项目"生态安全屏障功能与优化体系"专题(2019QZKK0405)


Quantitative analysis of the impacts of climate change and human activities on vegetation NPP in the Qilian Mountain National Park
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    摘要:

    祁连山国家公园作为西北地区重要的生态安全屏障和水源涵养地,研究其植被变化对西北地区的生态安全具有重要意义。基于2000-2019年祁连山国家公园的MOD17A3遥感数据,利用一元线性回归、偏相关分析、多元线性回归和残差分析等方法,分析了祁连山国家公园植被净初级生产力(NPP)的时空态势及其与降水、气温和人类活动的相关性,在此基础上量化气候变化和人类活动对植被NPP的影响。结果表明:(1)2000-2019年祁连山国家公园植被NPP整体呈波动上升趋势,且空间上呈东高西低的分布格局,其多年平均值为113.14 g C m-2 a-1,年均增长量达1.41 g C m-2 a-1;(2)植被NPP与降水、气温均呈正相关,其中降水对植被NPP影响更为显著;(3)人类活动区植被NPP总体呈增加趋势,与2016年相比,2019年人类活动区植被NPP增加的面积占87%,植被NPP降低的面积占13%;(4)在植被恢复区,气候变化和人类活动对植被恢复分别解释了92%和8%;在植被退化区,气候变化和人类活动对植被退化分别解释了29%和71%。研究结果可为祁连山国家公园生态环境保护与管理提供科学的决策依据。

    Abstract:

    The Qilian Mountain National Park (QMNP) is an important ecological security barrier and water conservation area, and exploring its vegetation Net Primary Productivity (NPP) variation is of great significance to the ecological security in Northwest China. We used methods, including unary linear regression, partial correlation analysis, and multivariate linear regression analysis and residual analysis, to analyze the space distribution of vegetation NPP and its relationship with precipitation, temperature and human activities based on the MOD17A3 remote sensing data in the QMNP from 2000 to 2019. In terms of this, we quantified the vegetation NPP influenced by the climate change and human activities, respectively. The results showed that:(1) from 2000 to 2019 vegetation NPP in the QMNP had an overall fluctuating upward trend and decreased from east to west, with a multi-year average of 113.14 g C m-2 a-1 and an average annual increase of 1.41 g C m-2 a-1; (2) The vegetation NPP was positively correlated with precipitation and temperature, with precipitation having a more significant effect on it; (3) In human activity area, the vegetation NPP presented an overall increasing trend, with 87% area increasing and 13% area decreasing of vegetation NPP in 2019 compared with those in 2016; (4) In the vegetation recovery area, climate change and human activities explained 92% and 8% of the vegetation recovery, respectively. While in the vegetation degradation area, they explained 29% and 71% of the vegetation degradation, respectively. The results can provide a scientific decision basis for ecological and environmental protection and management in QMNP.

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杨安乐,张小平,李宗省,李玉辰,南富森.气候变化和人类活动对祁连山国家公园植被净初级生产力的定量影响.生态学报,2023,43(5):1784~1792

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