Chen Xu, Zhang Yaping
Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, China.
The Engineering Research Center of Geographic Information System (GIS) Technology in Western China of Ministry of Education of China, Yunnan Normal University, Kunming, Yunnan, China.
Front Plant Sci. 2023 Sep 18;14:1248482. doi: 10.3389/fpls.2023.1248482. eCollection 2023.
Climate influences net primary productivity (NPP) either directly or indirectly via phenology. Therefore, clarifying the indirect effects of climate on NPP through phenology is of utmost importance. However, the underlying mechanisms by which phenology indirectly affects NPP are unknown and poorly studied. Based on different structural equation models, this study analyzed the influence of phenology on the relationship between climate and NPP, and the results were as follows: (1) Temperature and solar radiation directly affect the end and beginning of the growing season, respectively, while precipitation indirectly affects the beginning of the growing season. (2) Spring phenology mainly affects the relationship between subsequent precipitation and net primary productivity, while autumn phenology mainly affects the relationship between temperature and net primary productivity. (3) Solar radiation is the most important direct influence factor on phenology and NPP, and the relationship between it and NPP is hardly disturbed by vegetation phenology. This research holds significant scientific and applied values in enhancing our understanding of the effects of global warming, forecasting ecosystem responses in the future, and formulating adaptation strategies.
气候通过物候直接或间接地影响净初级生产力(NPP)。因此,阐明气候通过物候对NPP的间接影响至关重要。然而,物候间接影响NPP的潜在机制尚不清楚且研究较少。基于不同的结构方程模型,本研究分析了物候对气候与NPP关系的影响,结果如下:(1)温度和太阳辐射分别直接影响生长季的结束和开始,而降水间接影响生长季的开始。(2)春季物候主要影响后续降水与净初级生产力之间的关系,而秋季物候主要影响温度与净初级生产力之间的关系。(3)太阳辐射是对物候和NPP最重要的直接影响因素,它与NPP之间的关系几乎不受植被物候的干扰。本研究在增强我们对全球变暖影响的理解、预测未来生态系统响应以及制定适应策略方面具有重要的科学和应用价值。