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AEMuelbert/AmazonTreeMortality

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AmazonTreeMortality

DOI

Adriane Esquivel Muelbert - School of Geography, Earth and Environmental Sciences, University of Birmingham, UK. a.esquivelmuelbert@bham.ac.uk

Codes from the analyses on spatial patterns of tree mortality across Amazonian forests published in the article Esquivel-Muelbert et al. (2020) Tree mode of death and mortality risk factors across Amazon forests. Nature Communications 10.1038/s41467-020-18996-3

Code developed and tested using the R statistical platform R v 3.5.2 (R Development Core Team, 2015).

01_Master.R

Describes the analyses shown in the paper including plot-level analyses and the survival analyses (tree-level)

Codes for Figures 1, 2 and 3 are provided here

02_functions_plot_level.R

Functions used to perform plot-level analyses and plot Figures 1 and 2

03_functions_survival_analyses.R

Functions used to perform survival analyses and plot Figure 3

Data required

Data are available at: http://www.forestplots.net/en/publications#data

d01_plot_rates.csv

Plot code

Stem mortality rates (% y-1)

plot location (latitude and longitude in decimal degrees)

region

d02_census_mod.csv

Plot code

m.rates.likstanding - Stem mortality rates (% y-1) for trees that died standing

m.rates.notstanding - Stem mortality rates (% y-1) for trees that died broken/uprooted

p.MoD.likstanding - proportion of dead trees that died standing

p.MoD.notstanding - proportion of dead trees that died broken/uprooted

census interval lenght (y)

region

d03_surv_matrix.csv

plot code

region

dead (0/1)

interval (i.e. interval during which tree was monitored in years)

D (mm, diameter before the last observation)

DrelGR(mm, relative growth prior last observation)

MaxD(mm, maximum diameter for the species)

MeangrD (mm, mean growth rate for the species)

WD (g cm-3, species-level wood density)

WDA (mm, species-level water-defici affiliation)

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Codes from the analyses on spatial patterns of tree mortality across Amazonian forests published in the article Esquivel-Muelbert et al. 2020

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