Plant water potential improves prediction of empirical stomatal models.
Plant water potential improves prediction of empirical stomatal models.
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DOI：
10.1371/journal.pone.0185481
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Pacala S
中科院分区：
文献类型：
--
作者：
Anderegg WRL;Wolf A;Arango-Velez A;Choat B;Chmura DJ;Jansen S;Kolb T;Li S;Meinzer F;Pita P;Resco de Dios V;Sperry JS;Wolfe BT;Pacala S
预计气候变化将导致干旱频率和严重程度增加，对许多生态系统造成有害影响。气孔对环境条件变化的反应是所有生态系统模型的基础，但都是基于经验关系，在干旱条件下没有得到很好的检验。在这里，我们使用的数据集的34个木本植物物种跨越全球森林生物群系研究叶水势对气孔导度的影响，并测试三个主要的气孔模型和最近提出的模型的预测精度。我们发现，目前叶水平的经验模型有一致的偏差，过度预测气孔导度在干燥条件下，特别是在低土壤水势。此外，最近提出的气孔导度模型产量增加的预测能力相比，目前的模型，特别是改善在干旱条件下。我们的研究结果表明，包括气孔的敏感性下降的水势和随之而来的损害植物水分运输将改善预测在干旱条件下，并表明，许多生物群系包含的植物气孔策略的多样性，范围从风险到保守的气孔调节在水分胁迫。气孔模拟的这种改进是非常必要的，以帮助解开和预测生态系统对未来极端气候的反应。
Climate change is expected to lead to increases in drought frequency and severity, with deleterious effects on many ecosystems. Stomatal responses to changing environmental conditions form the backbone of all ecosystem models, but are based on empirical relationships and are not well-tested during drought conditions. Here, we use a dataset of 34 woody plant species spanning global forest biomes to examine the effect of leaf water potential on stomatal conductance and test the predictive accuracy of three major stomatal models and a recently proposed model. We find that current leaf-level empirical models have consistent biases of over-prediction of stomatal conductance during dry conditions, particularly at low soil water potentials. Furthermore, the recently proposed stomatal conductance model yields increases in predictive capability compared to current models, and with particular improvement during drought conditions. Our results reveal that including stomatal sensitivity to declining water potential and consequent impairment of plant water transport will improve predictions during drought conditions and show that many biomes contain a diversity of plant stomatal strategies that range from risky to conservative stomatal regulation during water stress. Such improvements in stomatal simulation are greatly needed to help unravel and predict the response of ecosystems to future climate extremes.
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影响因子：
18.3
作者：
Anderegg, William R. L.;Flint, Alan;Field, Christopher B.
通讯作者：
Field, Christopher B.
影响因子：
9.4
作者：
Brodribb, TJ;Holbrook, NM
通讯作者：
Holbrook, NM
影响因子：
7.3
作者：
Buckley, TN;Mott, KA;Farquhar, GD
通讯作者：
Farquhar, GD
影响因子：
3.7
作者：
Allen, Craig D.;Macalady, Alison K.;Cobb, Neil
通讯作者：
Cobb, Neil
影响因子：
5.1
作者：
Best, M. J.;Pryor, M.;Harding, R. J.
通讯作者：
Harding, R. J.