DOI: 10.5281/zenodo.5823624
title: Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia

description: These CSV and R script files are the dataset and codes used for the analysis in the following journal paper: Kohyama, T.I., Sheil, D., Sun, IF. <em>et al.</em> Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia. <em>Nat Commun</em> <strong>14</strong>, 1113 (2023). https://doi.org/10.1038/s41467-023-36671-1 <strong>Contents</strong> d0.csv — Individual tree-stem size data obtained by two censuses in 60 forest plots in eastern Asia <code>plot_id</code> — Plot ID <code>species</code> — Scientific name <code>t1</code> — Year of the first census <code>t2</code> — Year of the second census <code>dbh1</code> — Stem diameter (cm) at the first census*<sup>1</sup> <code>dbh2</code> — Stem diameter (cm) at the second census*<sup>1</sup> <code>w1</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census <code>w2</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census <code>wl1</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the first census <code>wl2</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the second census d1.csv — Species-level biomass, productivity and other turnover rates in each of 60 forest plots in eastern Asia <code>plot_id</code> — Plot ID <code>t1</code> — Year of the first census <code>t2</code> — Year of the second census <code>species</code> — Scientific name <code>N</code> — Period mean number of stems (ha<sup>−1</sup>) <code>B</code> — Period mean above ground biomass (Mg C ha<sup>−1</sup>) <code>Bl</code> — Period mean leaf biomass (Mg C ha<sup>−1</sup>) <code>p</code> — Relative above ground biomass productivity rate (year<sup>−1</sup>) <code>l</code> — Relative above ground biomass loss rate (year<sup>−1</sup>) <code>P</code> — Absolute above ground biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>) <code>L</code> — Absolute above ground biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>) <code>pl</code> — Relative leaf biomass productivity rate (year<sup>−1</sup>) <code>ll</code> — Relative leaf biomass loss rate (year<sup>−1</sup>) <code>Pl</code> — Absolute leaf biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>) <code>Ll</code> — Absolute leaf biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>) <code>w_max</code> — Period mean above ground biomass of the largest tree (Mg C ha<sup>−1</sup>) <code>w_99</code> — The 99-th percentaile of tree above ground biomass (Mg C ha<sup>−1</sup>) <code>rgr_max</code> — Relative growth rate of the largest tree (year<sup>−1</sup>) plot_metadata.csv — Metadata (e.g. location and climate variables) for 60 forest plots in eastern Asia <code>plot_id</code> — Plot ID <code>latitude</code> — Latitude in decimal degrees (°) <code>longitude</code> — Longitude in decimal degrees (°) <code>elevation</code> — Elevation (m) <code>area</code> — Plot area (ha) <code>MAT</code> — Mean annual temperature (°C)*<sup>2</sup> <code>AP</code> — Annual precipitation (mm year<sup>−1</sup>)*<sup>2</sup> <code>PET</code> — Potential evapotranspiration (mm year<sup>−1</sup>)*<sup>2</sup> annual_litterfall.csv — Annual fine litterfall (i.e. canopy productivity) obtained by monthly litterfall records collected by litter traps during same census period in 22 forest plots <code>plot_id</code> — Plot ID <code>Plitter</code> — Annual litterfall production (Mg C ha<sup>−1</sup> year<sup>−1</sup>) max_tree_height.csv — Tallest tree height for 388 species in 11 forest plots <code>plot_id</code> — Plot ID <code>species</code> — Scientific name <code>H_max</code> — tallest tree height (m) productivity.r — R script for estimating forest-level aboveground net productivity *<sup>1 </sup>No-record diameters due to death in the second census and pre-recruitment in the first census were set to zero. *<sup>2</sup> Climate data for the period 1981–2010 were obtained from CHELSA version 2.1 (Krager et al. 2021 EnviDat, https://doi.org/10.16904/envidat.228.v2.1)