邻里(数学)
生物群落
生物多样性
生态学
树(集合论)
多样性(政治)
物种丰富度
气候变化
地理
特质
代理(统计)
生物
数学
生态系统
社会学
人类学
程序设计语言
数学分析
机器学习
计算机科学
作者
Liting Zheng,Inés Ibáñez,Laura Williams,Kai Zhu,Hernán Serrano‐León,Joel Jensen,Nico Eisenhauer,Kris Verheyen,Michael Scherer‐Lorenzen,Florian Schnabel,Holger Kreft,Nathaly R. Guerrero‐Ramírez,Dirk Hölscher,Gustavo B. Paterno,Bambang Irawan,Quentin Ponette,Christian Messier,Alain Paquette,Artur Stefański,Simone Mereu
标识
DOI:10.1038/s41559-025-02805-5
摘要
Tree diversity often increases stand-level growth, but whether neighbourhood diversity effects on individual tree growth change with climatic conditions remains unclear. Here, using 852,170 records of 113,701 individuals from 129 species in 15 tree diversity experiments across four biomes, we address this knowledge gap with a synthesis of tree growth data spanning a broad climate gradient. We examine how neighbourhood-scale (defined as a focal tree and the adjacent trees) taxonomic and functional diversity effects on tree growth vary with climate, both spatially (across sites) and temporally (within sites). Increasing species richness and trait dissimilarity from monospecific to high-diversity neighbourhoods enhanced individual tree growth by 7-13% on average. The positive diversity effect increased from dry to wet climates, contrasting with most prior studies, but was unaffected by interannual climatic variation within sites. Given that tree-tree interactions are ubiquitous and likely to interact with climate in both young and old forests, our findings suggest incorporating neighbourhood diversity as a management tool to enhance forest productivity, while considering underlying mechanisms and interactions with climate, thereby facilitating targeted and site-specific climate and biodiversity benefits.
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