Data and code from: Neighborhood diversity increases tree growth in experimental forests more in wetter climates but not in wetter years
收藏Figshare2025-07-20 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Data_and_code_from_Neighborhood_diversity_increases_tree_growth_in_experimental_forests_more_in_wetter_climates_but_not_in_wetter_years/29274887/1
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Using records of growth of tree individuals from 15 tree-diversity experiments across four biomes. We examine how neighborhood-scale (defined as a focal tree and the adjacent trees) taxonomic and functional diversity effects on tree growth vary with climate spatially (across sites) and temporally (within sites).The dataset contains information for each experiment, interannual climate data, and species-level trait data used in this study. The climate data of annual climate precipitation (P) and potential evapotranspiration (PET) were downloaded from ERA5Land, and SPEI were accessed from the global SPEI dataset. Trait data were mainly obtained from the Plant Trait Database (TRY), Botanical Information and Ecology Network<sup>80</sup>, and the global wood density database.<br>The R code files are also attached for running hierarchical Bayesian models, using Markov chain Monte Carlo (MCMC) sampling techniques in JAGS (version 4.3.2) and R (version 4.4.0) via the rjags package.
提供机构:
Zheng, Liting
创建时间:
2025-06-12



