Predicting Climatic Limits Along a Rainfall Gradient of Dipterocarp Species Based on Leaf Turgor Loss Point

ABSTRACT Drought tolerance is an integral determinant of drought survival in trees; thus, an accurate and rapid assessment of drought tolerance can lead to improved prediction of forest responses to droughts. The osmometer method enables the rapid determination of the leaf water potential at turgor loss ( π tlp ), a key parameter of drought tolerance, from the osmotic potential at full turgor ( π sat ). However, despite its wide applications, there have been few validations in ever‐wet tropical rainforests. Here, we assessed the efficacy of the osmometer method in dipterocarps, a dominant tree group in SE Asia in ever‐wet Malaysia, and examined the linkage between π tlp and distribution along a rainfall gradient. The π tlp determined using the conventional method was strongly and linearly correlated with the π sat determined using an osmometer. The coefficients of our model were statistically identical to those previously represented, but with a slightly larger intercept (0.21 MPa). Species with more negative π tlp were distributed in drier habitats, with a relatively larger variation in π tlp for species confined to ever‐wet climates than for those occurring in ever‐wet and seasonally dry climates. Some leaf traits, individual leaf area and dry matter content, were associated with π tlp , but these traits alone could not predict species distribution. We demonstrated the robustness of the osmometer method in ever‐wet tropical rainforest species and that π tlp is associated with current distribution along large‐scale moisture availabilities.

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Publication Details

Journal
Biotropica
Published
2025-04-11
DOI
https://doi.org/10.1111/btp.70029
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting Climatic Limits Along a Rainfall Gradient of Dipterocarp Species Based on Leaf Turgor Loss Point

Kiyosada Kawai, Kevin Kit Siong Ng, Soon Leong Lee
Biotropica
Ecology and Vegetation Dynamics Studies
article

Predicting Climatic Limits Along a Rainfall Gradient of Dipterocarp Species Based on Leaf Turgor Loss Point

Kiyosada Kawai, Kevin Kit Siong Ng, Soon Leong Lee
article en

Abstract

ABSTRACT Drought tolerance is an integral determinant of drought survival in trees; thus, an accurate and rapid assessment of drought tolerance can lead to improved prediction of forest responses to droughts. The osmometer method enables the rapid determination of the leaf water potential at turgor loss ( π tlp ), a key parameter of drought tolerance, from the osmotic potential at full turgor ( π sat ). However, despite its wide applications, there have been few validations in ever‐wet tropical rainforests. Here, we assessed the efficacy of the osmometer method in dipterocarps, a dominant tree group in SE Asia in ever‐wet Malaysia, and examined the linkage between π tlp and distribution along a rainfall gradient. The π tlp determined using the conventional method was strongly and linearly correlated with the π sat determined using an osmometer. The coefficients of our model were statistically identical to those previously represented, but with a slightly larger intercept (0.21 MPa). Species with more negative π tlp were distributed in drier habitats, with a relatively larger variation in π tlp for species confined to ever‐wet climates than for those occurring in ever‐wet and seasonally dry climates. Some leaf traits, individual leaf area and dry matter content, were associated with π tlp , but these traits alone could not predict species distribution. We demonstrated the robustness of the osmometer method in ever‐wet tropical rainforest species and that π tlp is associated with current distribution along large‐scale moisture availabilities.

BiotropicaVol. 57(3)
Forest Research Institute Malaysia (MY), Japan International Research Center for Agricultural Sciences (JP)
Japan International Research Center for Agricultural Sciences
Openalex Percentile: Top 92%
Ecology and Vegetation Dynamics Studies
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