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Forest structure predicts aboveground biomass better than community-weighted mean of traits, functional diversity, topography, and soil in a tropical forest across spatial scales
Simmavong, Tim1; Su, Yuebo; Deng, Yun2; Wang, Bin3,4,5; Yao, Zhiliang1; Wu, Junjie6; Sha, Liqing; Cao, Min; Lin, Luxiang2
2025
Source PublicationFOREST ECOLOGY AND MANAGEMENT
ISSN0378-1127
Volume578Issue:xPages:-
AbstractAboveground biomass of vegetation plays an important role in the global carbon cycle and climate change mitigation. Both abiotic and biotic factors can influence aboveground biomass directly, as well as indirectly, and these effects can depend on the spatial scale in which data are measured. We explored the direct and indirect effects of site topography, soil properties, forest structure, and functional traits on aboveground biomass at two spatial scales (i.e., 20 m x 20 m and 50 m x 50 m) in a tropical seasonal rainforest. We found that the relative importance of biotic factors was greater than that of abiotic factors across scales. Forest structure consistently had the greatest positive influence on aboveground biomass at both spatial scales. The mass ratio effect could act in driving aboveground biomass at the small spatial scale, while we found no evidence to support the niche complementarity effect at either scale. The relative importance of soil properties on aboveground biomass decreased with increasing spatial scale, while that of topography increased. The total effects of topography and soil properties on aboveground biomass were consistently positive across scales. We conclude that considering spatial scale is important to fully understand how biotic and abiotic factors drive aboveground biomass. Our results highlight the importance of focusing on forest structure and the scale dependence of the drivers of aboveground biomass in the context of forest management and restoration to improve forest carbon sequestration and mitigate climate change.
KeywordTropical seasonal rainforests Topography Soil properties The mass ratio effect The niche complementarity effect
Subject AreaForestry
DOI10.1016/j.foreco.2024.122457
Indexed BySCI
Language英语
WOS IDWOS:001411802300001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/14582
Collection2012年后新成立研究组
Affiliation1.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650223, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Natl Forest Ecosyst Res Stn Xishuangbanna, Mengla, Yunnan, Peoples R China
4.Yunnan Univ, Sch Ecol & Environm Sci, Kunming, Peoples R China
5.Yunnan Univ, Yunnan Key Lab Plateau Mt Ecol & Restorat Degraded, Kunming, Peoples R China
6.Univ Windsor, Sch Environm, Windsor, ON, Canada
7.Dali Univ, Coll Agr & Biol Sci, Dali, Peoples R China
Recommended Citation
GB/T 7714
Simmavong, Tim,Su, Yuebo,Deng, Yun,et al. Forest structure predicts aboveground biomass better than community-weighted mean of traits, functional diversity, topography, and soil in a tropical forest across spatial scales[J]. FOREST ECOLOGY AND MANAGEMENT,2025,578(x):-.
APA Simmavong, Tim.,Su, Yuebo.,Deng, Yun.,Wang, Bin.,Yao, Zhiliang.,...&Lin, Luxiang.(2025).Forest structure predicts aboveground biomass better than community-weighted mean of traits, functional diversity, topography, and soil in a tropical forest across spatial scales.FOREST ECOLOGY AND MANAGEMENT,578(x),-.
MLA Simmavong, Tim,et al."Forest structure predicts aboveground biomass better than community-weighted mean of traits, functional diversity, topography, and soil in a tropical forest across spatial scales".FOREST ECOLOGY AND MANAGEMENT 578.x(2025):-.
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