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Dryness controls temperature-optimized gross primary productivity across vegetation types
Agricultural and Forest Meteorology ( IF 6.2 ) Pub Date : 2022-07-02 , DOI: 10.1016/j.agrformet.2022.109073
Bingxue Wang, Weinan Chen, Junhu Dai, Zhaolei Li, Zheng Fu, Sangeeta Sarmah, Yiqi Luo, Shuli Niu

Temperature response of gross primary productivity (GPP) is a well-known property of ecosystem, but GPP at the optimum temperature (GPP_Topt) has not been fully discussed. Our understanding of how GPP_Topt responds to warming and water availability is highly limited. In this study, we analyzed data at 326 globally distributed eddy covariance sites (79oN-37oS), to identify controlling factors of GPP_Topt. Although GPP_Topt was significantly influenced by soil moisture, global solar radiation, mean annual temperature, and vapor pressure deficit in a non-linear pattern (R2 = 0.47), the direction and magnitude of these climate variables’ effects on GPP_Topt depend on the dryness index (DI), a ratio of potential evapotranspiration to precipitation. The spatial pattern showed that soil moisture did not affect GPP_Topt across energy-limited sites with DI < 1 while dominated GPP_Topt across water-limited sites with DI >1. The temporal pattern showed that GPP_Topt was lowered by warming or low precipitation in water-limited sites while energy-limited sites tended to maintain a stable GPP_Topt regardless of changes in air temperature. Vegetation types in humid climates tended to have higher GPP_Topt and were more likely to benefit from a warmer climate since it was not restricted by water conditions. This study highlights that the response of GPP_Topt to global warming depends on the dryness conditions, which explains the nonlinear control of water and temperature over GPP_Topt. Our finding is essential to realistic prediction of terrestrial carbon uptake under future climate and vegetation conditions.



中文翻译:

干旱控制了不同植被类型的温度优化的总初级生产力

总初级生产力(GPP)的温度响应是生态系统的一个众所周知的特性,但最适温度的GPP(GPP_T opt)尚未得到充分讨论。我们对 GPP_T opt如何应对变暖和水资源可用性的理解非常有限。在这项研究中,我们分析了全球分布的 326 个涡流协方差点 (79 o N-37 o S) 的数据,以确定 GPP_T opt的控制因素。尽管 GPP_T opt受土壤水分、全球太阳辐射、年平均温度和水汽压力亏缺的显着影响呈非线性模式(R 2  = 0.47),但这些气候变量对 GPP_T 影响的方向和幅度opt取决于干度指数 (DI),即潜在蒸散量与降水量的比率。空间格局表明,土壤水分在 DI < 1 的能量受限场地不影响 GPP_T opt ,而在 DI > 1 的水分受限场地则主导 GPP_T opt。时间模式表明,GPP_T opt在水资源有限的地点因变暖或低降水而降低,而能量有限的地点倾向于保持稳定的 GPP_T opt,无论气温如何变化。潮湿气候中的植被类型往往具有更高的 GPP_T opt并且更有可能从温暖的气候中受益,因为它不受水条件的限制。本研究强调 GPP_T 的反应opt全球变暖取决于干燥条件,这解释了 GPP_T opt对水和温度的非线性控制。我们的发现对于在未来气候和植被条件下真实地预测陆地碳吸收至关重要。

更新日期:2022-07-04
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