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Global patterns and controlling factors of tree bark C : N : P stoichiometry in forest ecosystems consistent with biogeochemical niche hypothesis

Haiyang GongCollege of Grassland Resources Southwest Minzu University Chengdu 610041 ChinaJordi SardansCREAF Cerdanyola del Vallès (Catalonia) 08193 SpainHeng HuangSchool of Ecology Shenzhen Campus of Sun Yat‐sen University Shenzhen 518107 ChinaZhengbing YanState Key Laboratory of Vegetation and Environmental Change, Institute of Botany Chinese Academy of Sciences Beijing 100093 ChinaZhiqiang WangCollege of Grassland Resources Southwest Minzu University Chengdu 610041 ChinaJosep PeñuelasCREAF Cerdanyola del Vallès (Catalonia) 08193 Spain
2024en
ABI

Аннотация

Summary Bark serves crucial roles in safeguarding trees physically and chemically, while also contributing to nutrient cycling and carbon sequestration. Despite its importance, the broader biogeographical patterns and the potential factors influencing bark C : N : P stoichiometry in forest ecosystems remain largely unknown. In this study, we compiled a comprehensive dataset comprising carbon (C), nitrogen (N), and phosphorus (P) concentrations in bark with 1240 records from 550 diverse forest sites to systematically analyze the large‐scale patterns and the factors controlling bark C : N : P stoichiometry. The geometric means of bark C, N, and P concentrations were found to be 493.17 ± 1.75, 3.91 ± 0.09, and 0.2 ± 0.01 mg g −1 , respectively. Correspondingly, the C : N, C : P, and N : P mass ratios were 135.51 ± 8.11, 3313.19 ± 210.16, and 19.16 ± 0.6, respectively. Bark C : N : P stoichiometry exhibited conspicuous latitudinal trends, with the exception of N : P ratios. These patterns were primarily shaped by the significant impacts of climate, soil conditions, and plant functional groups. However, the impact of evolutionary history in shaping bark C : N : P stoichiometry outweigh climate, soil, and plant functional group, aligning with the biogeochemical niche (BN) hypothesis. These finding enhance our understanding of the spatial distribution of bark nutrient stoichiometry and have important implications for modeling of global forest ecosystem nutrient cycles in a changing environment.

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