Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits.    All analyses have been...

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Hauptverfasser: Nemetschek, Daniela, Fortunel, Claire, Marcon, Eric, Auer, Johanna, Badouard, Vincyane, Baraloto, Christopher, Boisseaux, Marion, Bonal, Damien, Coste, Sabrina, Dardevet, Elia, Heuret, Patrick, Hietz, Peter, Levionnois, Sébastien, Maréchaux, Isabelle, Stahl, Clément, Vleminckx, Jason, Wanek, Wolfgang, Ziegler, Camille, Derroire, Géraldine
Format: Dataset
Sprache:eng
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Zusammenfassung:Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits.    All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.
DOI:10.5281/zenodo.10719545