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Chinese Academy of Sciences Institutional Repositories Grid
Demographic rate directional change and its determinants reveal how plant species win in a patchy landscape with frequent droughts

文献类型:期刊论文

作者Jiang, Peipei1,6; Wang, Huimin1,5; Reich, Peter4; Meinzer, Frederick C.3; Dai, Xiaoqin1; Meng, Shengwang1; Kou, Liang1,5; Fu, Xiaoli1,2,5
刊名FUNCTIONAL ECOLOGY
出版日期2025-08-19
卷号N/A
关键词competitive outcomes economic spectrum hydraulic trait landscape heterogeneity relative growth rate RGR directional change structural trait water stress
ISSN号0269-8463
DOI10.1111/1365-2435.70145
产权排序1
文献子类Article ; Early Access
英文摘要Relative growth rate (RGR) has been a core demographic performance trait in community ecology because its species-specific divergent responses to light often determine community structure and dynamics. Nevertheless, how divergent responses of plant species in RGR to water stress govern community assembly, alongside the mechanistic basis of inter- and intra-specific variations in functional traits, remain elusive. We propose a theoretical framework for describing how the directional change of RGR across dry and wet patches drives community assembly in a landscape with frequent droughts. The framework was applied to a subtropical understory shrub community where rock fragment content, an important proxy for water stress, shows strong spatial variability. Our empirical evidence demonstrated that RGR directional change (RGRdir change) was more robust than RGR in wet patches, RGR in dry patches and the mean RGR in predicting species' dominance hierarchy. Inter-specific variation in functional traits contributed equally to inter-specific variation in mediating shifts in species' RGRdir change. Species with increasing RGR as substrate water availability decreased were dominant (with higher relative abundance and importance). Dominant species generally had acquisitive roots and hydraulically safe stems. In response to decreasing substrate water availability, dominant species further increased their leaf drought tolerance and optimized root specific length, which not only contributed to their faster radial stem growth but also likely contributed to their release from light competition. Our results highlight the roles of RGR directional change across contrasting water stress situations in driving community assembly in patchy landscapes with frequent droughts and may improve our understanding of how global climate change-related droughts shape plant community assembly.Read the free for this article on the Journal blog.
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WOS关键词FUNCTIONAL TRAITS ; COMMUNITY ECOLOGY ; TRADE-OFFS ; GROWTH ; PREDICTORS ; PERFORMANCE ; FRAMEWORK ; SEEDLINGS ; STRATEGY ; STRESS
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001556495700001
出版者WILEY
源URL[http://ir.igsnrr.ac.cn/handle/311030/216181]  
专题千烟洲站森林生态系统研究中心_外文论文
通讯作者Fu, Xiaoli
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing, Peoples R China;
2.Jiangxi Agr Univ, Coll Forestry, Jiangxi Prov Key Lab Silviculture, Nanchang, Peoples R China
3.Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR USA;
4.Univ Minnesota, Dept Forest Resources, St Paul, MN USA;
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China;
6.Shandong Normal Univ, Coll Life Sci, Key Lab Plant Stress Res, Jinan, Shandong, Peoples R China;
推荐引用方式
GB/T 7714
Jiang, Peipei,Wang, Huimin,Reich, Peter,et al. Demographic rate directional change and its determinants reveal how plant species win in a patchy landscape with frequent droughts[J]. FUNCTIONAL ECOLOGY,2025,N/A.
APA Jiang, Peipei.,Wang, Huimin.,Reich, Peter.,Meinzer, Frederick C..,Dai, Xiaoqin.,...&Fu, Xiaoli.(2025).Demographic rate directional change and its determinants reveal how plant species win in a patchy landscape with frequent droughts.FUNCTIONAL ECOLOGY,N/A.
MLA Jiang, Peipei,et al."Demographic rate directional change and its determinants reveal how plant species win in a patchy landscape with frequent droughts".FUNCTIONAL ECOLOGY N/A(2025).

入库方式: OAI收割

来源:地理科学与资源研究所

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