Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics.
Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics.
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DOI：
10.1098/rstb.2017.0315
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发表时间：
2018-10-08
期刊：
影响因子：
--
通讯作者：
Cox P
中科院分区：
文献类型：
--
作者：
Eller CB;Rowland L;Oliveira RS;Bittencourt PRL;Barros FV;da Costa ACL;Meir P;Friend AD;Mencuccini M;Sitch S;Cox P
当前一代的动态全球植被模型（dgvm）缺乏植被对土壤干旱响应的机制表示，这削弱了它们准确预测地球系统对未来气候情景和气候异常（如El Niño事件）响应的能力。我们提出了一种简单的数值方法来模拟植物对干旱耦合气孔优化理论和植物水力学的响应，该方法可用于动态全球植被模型（dgvm）。该模型通过长期土壤干旱试验的林分尺度森林蒸腾(E)观测数据进行了验证，并用于预测20世纪三个亚马逊森林站点对气候异常的响应。我们发现，我们的气孔优化模型对环境条件产生了真实的气孔响应，可以准确地模拟热带森林E对季节性甚至长期土壤干旱的响应。我们的模型预测，在El Niño年暴露于土壤干旱的亚马逊森林遗址，气候异常的累积效应比其他经验干旱表示方案所能捕捉到的更强。我们的模型与经验干旱因子之间的响应对比突出了基于水力的气孔优化模型在描述干旱和气候异常下dgvm植被响应的实用性。本文是讨论会议“2015/2016厄尔尼诺现象Niño对陆地热带碳循环的影响：模式、机制和影响”的一部分。
The current generation of dynamic global vegetation models (DGVMs) lacks a mechanistic representation of vegetation responses to soil drought, impairing their ability to accurately predict Earth system responses to future climate scenarios and climatic anomalies, such as El Niño events. We propose a simple numerical approach to model plant responses to drought coupling stomatal optimality theory and plant hydraulics that can be used in dynamic global vegetation models (DGVMs). The model is validated against stand-scale forest transpiration (E) observations from a long-term soil drought experiment and used to predict the response of three Amazonian forest sites to climatic anomalies during the twentieth century. We show that our stomatal optimization model produces realistic stomatal responses to environmental conditions and can accurately simulate how tropical forest E responds to seasonal, and even long-term soil drought. Our model predicts a stronger cumulative effect of climatic anomalies in Amazon forest sites exposed to soil drought during El Niño years than can be captured by alternative empirical drought representation schemes. The contrasting responses between our model and empirical drought factors highlight the utility of hydraulically-based stomatal optimization models to represent vegetation responses to drought and climatic anomalies in DGVMs. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’.
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