Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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Plant water potential improves prediction of empirical stomatal models.

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P1476

Plant water potential improves prediction of empirical stomatal models

@en

P2093

Adam Wolf

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Adriana Arango-Velez

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Brett T Wolfe

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John S Sperry

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Pilar Pita

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Shan Li

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Stephen Pacala

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Thomas Kolb

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P2860

Random Forests

Little change in global drought over the past 60 years

Drought under global warming: a review

Modelling stomatal conductance in response to environmental factors

What plant hydraulics can tell us about responses to climate-change droughts

Conifer species adapt to low-rainfall climates by following one of two divergent pathways

Global convergence in the vulnerability of forests to drought.

Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought.

Not all droughts are created equal: translating meteorological drought into woody plant mortality.

Climate extremes and the carbon cycle.

P304

e0185481

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P31

scholarly article

P356

10.1371/JOURNAL.PONE.0185481

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P407

English

P433

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P478

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P50

P577

2017-10-12T00:00:00Z

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P698

29023453

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P932

5638234

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