R codes from: Breakdown of the growth–mortality trade-off along a soil phosphorus gradient in diverse neotropical forest

An ecological paradigm predicts that plant species adapted to low resource availability grow slower and live longer than those adapted to high resource availability when growing together. We tested this by using hierarchical Bayesian analysis to quantify variations in growth and mortality of ~ 40,000 individual trees from > 400 species in response to limiting resources in the tropical forests of Panama. In contrast to theoretical expectations of the growth–mortality paradigm, we find that tropical tree species restricted to low-phosphorus soils simultaneously achieve faster growth rates and lower mortality rates than species restricted to high-phosphorus soils. This result demonstrates that adaptation to phosphorus limitation in diverse plant communities modifies the growth–mortality trade-off, with important implications for understanding long-term ecosystem dynamics., The codes were created to examine species-specfic growth and mortality responses to environmental factors (e.g., water stress and soil chemical properties) with the data from long-term vegetation dynamics. , The code requires to install R software, associated packages (\"parallel\", \"rjags\", runjags\", and \"compute.es\"), and JAGS to open and run. , This is supplementary data for the paper entitled “Breakdown of the growth–mortality trade-off along a soil phosphorus gradient in diverse neotropical forest”. The files hold (i) the R codes for growth and mortality analyses using data of long-term vegetation dynamics (hierarchical Bayesian analysis), (ii) example dataset, and (iii) the specie-specific estimation of beta values (species-specific responses to size or environmental factors; see the original article for more information). In this article, we applied the R code to the data of plot-network in Panama (Condit et al. 2019; Turner & Condit 2022).
 
Condit, R., Pérez, R., Aguilar, S. & Lao, S. (2019). Census data from 65 tree plots in Panama, 1994-2015. *Dryad, Dataset*
Turner, B.L. & Condit, R. (2022). Soil chemistry and dry season intensity, Panama Canal Area. *Dryad, Dataset*
 
 
#1. R codes######################################
The R codes define the “genMCMC” function to estimate species-specific relationship of ...