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Impact of temporal precipitation variability on ecosystem productivity

机译：时间降水变异性对生态系统生产率的影响

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Abstract Projected increases in temporal precipitation variability, including intra‐annual and interannual variability, will likely have important impacts on terrestrial ecosystem productivity. The direction and magnitude of these impacts and how they vary across biomes, however, remain largely uncertain. Here, we review published literature that investigated the effect of different characteristics of temporal precipitation variability on vegetation productivity. We first reviewed commonly used methods, including manipulation experiments, process‐based modeling, and data‐driven analysis, and further discussed their strengths and limitations. Then, we summarized state‐of‐the‐art research on this topic by categorizing the results based on the characteristics of temporal precipitation variability. Given the same amount of growing season precipitation, a more extreme precipitation regime, characterized as fewer but larger precipitation events, tends to have a negative impact on vegetation productivity of most ecosystems except xeric grasslands and wet‐cold forests. Precipitation in the early growing season was found to be particularly important to vegetation productivity. Greater interannual precipitation variability tends to decrease vegetation productivity, but the reported patterns are complex, as both concave‐up and concave‐down precipitation‐productivity relations were found. Despite the progress made so far, critical challenges and knowledge gaps remain, such as the global‐scale impacts across different biomes, the role of biological adaption, and the contribution of individual precipitation events. Future research needs to combine manipulation experiments across a broad spectrum of ecosystem types and environmental gradients with model‐data integration strategies to disentangle the interactions between abiotic and biotic factors controlling vegetation responses to precipitation variability. This article is categorized under: Science of Water > Hydrological Processes Water and Life > Nature of Freshwater Ecosystems
机译：抽象的预测时间降水变异性增加，包括年度和年际变异性，可能会对陆地生态系统生产力产生重要影响。然而，这些影响的方向和大小在很大程度上不确定。在这里，我们回顾了发表的文献，该文献研究了时间降水变异性不同特征对植被生产率的影响。我们首先回顾了常用的方法，包括操纵实验，基于过程的建模和数据驱动分析，并进一步讨论了它们的优势和局限性。然后，我们通过根据时间降水变异的特征对结果进行分类来概括有关该主题的研究。鉴于相同数量的生长季节降水，更极端的降水状态（以较少但较大的降水事件为特征）往往会对大多数生态系统的植被生产力产生负面影响，除Xeric草原和湿冷森林外。发现生长季节早期的降水量对植被生产率尤为重要。较大的年际沉淀可变性往往会降低植被生产率，但报告的模式很复杂，因为发现凹入和凹陷的沉淀 - 生产率。尽管到目前为止取得了进展，但仍然存在关键的挑战和知识差距，例如不同生物群体之间的全球范围影响，生物适应的作用以及个体降水事件的贡献。未来的研究需要将各种生态系统类型和环境梯度的操纵实验与模型数据集成策略相结合，以解散控制植被响应对降水量变异性的非生物因素与生物因素之间的相互作用。本文分类为：水科学>水文过程水和生命>淡水生态系统的性质

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