Comparative Analysis of Drought-Driven Water-Use Strategies in Mangroves and Forests

Mangroves grow in high-salinity environments with low soil water potential (Ψs), where high light intensity and strong winds increase the vapor pressure deficit (VPD), causing physiological drought and high transpiration demand (Δw), which limits carbon dioxide (carbon gain) for photosynthesis. This study explored how mangroves optimize their carbon-gain-to-water-loss ratio (water-use strategies) to maximize carbon gain during both dry and rainy seasons. We also calculated the relative costs of key leaf traits and compared them with those of terrestrial forests under the carbon gain optimization model. The results revealed that (1) with increasing Δw, terrestrial forests primarily adjusted leaf hydraulic conductance (Kleaf), while mangroves altered the difference in water potential (ΔΨ); (2) as Ψs decreased, πtlp of both terrestrial forests and mangroves increased; (3) terrestrial forests developed a more balanced distribution of leaf trait costs between osmotic pressure (46.7 ± 0.2%) and stomata (43.3 ± 1.2%), whereas mangroves had the highest cost in osmotic pressure (49.04 ± 0.03%) and the lowest cost in stomata (11.08 ± 3.00%) during the rainy season; and (4) although mangroves showed differences in trait values between dry and rainy seasons, their responses to drought stress remained consistent. These findings provided new theoretical insights into how mangroves maintain high carbon gain and water-use efficiency under extreme environmental conditions, which is important to improve mangrove conservation efforts and contribute to climate mitigation policies.

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Publication Details

Journal
Forests
Published
2025-02-23
DOI
https://doi.org/10.3390/f16030396
Citations
1
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
1.72
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article

Comparative Analysis of Drought-Driven Water-Use Strategies in Mangroves and Forests

Binbin Zheng, Feng An, Min Gong, Huiting Xu et al.
1 citations
Forests
Coastal wetland ecosystem dynamics
1.72
article

Comparative Analysis of Drought-Driven Water-Use Strategies in Mangroves and Forests

Binbin Zheng, Feng An, Min Gong, Huiting Xu, Xin Li, Lu Dong, Rui Yu, You Wang
article en
1 citations

Abstract

Mangroves grow in high-salinity environments with low soil water potential (Ψs), where high light intensity and strong winds increase the vapor pressure deficit (VPD), causing physiological drought and high transpiration demand (Δw), which limits carbon dioxide (carbon gain) for photosynthesis. This study explored how mangroves optimize their carbon-gain-to-water-loss ratio (water-use strategies) to maximize carbon gain during both dry and rainy seasons. We also calculated the relative costs of key leaf traits and compared them with those of terrestrial forests under the carbon gain optimization model. The results revealed that (1) with increasing Δw, terrestrial forests primarily adjusted leaf hydraulic conductance (Kleaf), while mangroves altered the difference in water potential (ΔΨ); (2) as Ψs decreased, πtlp of both terrestrial forests and mangroves increased; (3) terrestrial forests developed a more balanced distribution of leaf trait costs between osmotic pressure (46.7 ± 0.2%) and stomata (43.3 ± 1.2%), whereas mangroves had the highest cost in osmotic pressure (49.04 ± 0.03%) and the lowest cost in stomata (11.08 ± 3.00%) during the rainy season; and (4) although mangroves showed differences in trait values between dry and rainy seasons, their responses to drought stress remained consistent. These findings provided new theoretical insights into how mangroves maintain high carbon gain and water-use efficiency under extreme environmental conditions, which is important to improve mangrove conservation efforts and contribute to climate mitigation policies.

ForestsVol. 16(3)
Chinese Academy of Tropical Agricultural Sciences (CN), Hainan University (CN), Rubber Research Institute (CN), Hainan Provincial Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 19%
Coastal wetland ecosystem dynamics
1.72
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