Recently, researchers from the National Field Science Observation and Research Station of the Sichuan Ruoergai Alpine Wetland Ecosystem of Southwest University for Nationalities published a research paper entitled ‘Leaf water content contributions to global leaf trait relationshi

2025/04/0415:11:35 science 1367

Recently, researchers from the National Field Science Observation and Research Station of the Sichuan Ruoergai Alpine Wetland Ecosystem of Southwest University for Nationalities published a research paper entitled ‘Leaf water content contributions to global leaf trait relationships’ in Nature Communications. This study is based on ecological metabolism theoretical model, reveals the quantitative impact of leaf moisture content and ambient temperature on leaf functional traits at the global scale, and elucidates the important role of plant leaf moisture content in the leaf economic spectrum.

The functional traits of plant leaves are closely related to important life activities such as plant carbon acquisition, water transfer, and nutrient circulation. Discussing species distribution pattern, growth strategies, survival mechanisms and their responses and adaptations to global changes through functional traits of plant leaves is one of the hot topics in ecological research in recent years. The moisture content of the leaves plays an important role in leaf temperature regulation and further affects a series of ecological processes such as leaf carbon assimilation. However, there are few reports on how blade moisture content is quantitatively affected by other blade functional traits.

Global leaf functional trait sample point distribution

In this study, the author constructed a model that quantified the relationship between leaf moisture content and other leaf functional traits based on ecological metabolism theory, and verified the effectiveness of this model by collecting and sorting out two sets of leaf functional trait data sets (data set a, distributed in the leaf area of 3427 species around the world, leaf dry weight, fresh weight, specific leaf area, leaf moisture content and leaf dry matter content of 6 functional trait indicators; data set b, leaf photosynthetic rate , leaf area, leaf dry matter content and leaf nitrogen and phosphorus content of 1215 species in China), and verified the effectiveness of this model.

After temperature and leaf moisture content correction, the allovelocity relationship index of leaf area and leaf mass approaches the theoretical predicted value and is not affected by plant growth type, ecosystem type and latitude interval. The study also found that compared with the nitrogen and phosphorus content of the blade, the moisture quality of the blade can better predict the leaf photosynthetic rate and leaf area.

Wang Zhiqiang collects plant and soil samples in the wild

This study theoretically illustrates the regulatory effect of leaf moisture content and temperature on other leaf functional traits and their allovelocity relationships. The research results will help humans understand and predict the impact of global climate change on the leaf economic spectrum, and are of great significance for exploring the relationship between plants and the environment on a large scale.

It is understood that Associate Researcher Wang Zhiqiang of Southwest University for Nationalities is the first author of the paper, Southwest University for Nationalities is the first unit, Huang Heng, postdoctoral fellow at Texas A&M University for Nationalities is the corresponding author of . Collaborators also include Professor Wang Han of Tsinghua University, Professor Li Yan and Associate Professor Xie Jiangbo, Dean of the School of Forestry and Biotechnology of Zhejiang Agricultural and Forestry University, Professor Josep Peñuelas and Jordi Sardans of the Autonomous University of Barcelona, Spain, Professor Karl J. Niklas of Cornell University, USA, Academician ülo Niinemets of the Estonian Academy of Sciences, and Academician Ian J. Wright of Macquarie University in Australia.

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