Environmental Data: No increased tree growth variability due to global...

Keywords:
CLIMATE CHANGE
ESTIMATION METHODS
GLOBAL WARMING
TREE RINGS
VARIABILITY
Keywords:
CLIMATE CHANGE
ESTIMATION METHODS
GLOBAL WARMING
TREE RINGS
VARIABILITY

Description

This dataset contains R scripts and pre-processed files to reconstruct the analyses made in the technical note submitted to Ecology Letters as a response t...

Citation

Klesse, S. (2026). No increased tree growth variability due to global warming. EnviDat. https://www.doi.org/10.16904/envidat.789.

Resources

  • R scripts.zip

    R scripts to reconstruct analyses made in technical note. mean_variance_ITRDB_SM1: SM1, calculation of running variances, calculation of outliers, diagnostic plots power_estimate_clean_simulation: Simulation for SM5 fair_power_comparison_persample: power estimation per 50-year period per sample, SM3 fair_power_comparison: population power estimation per 50-year period, SM3 powertest3.1: Simulation to estimate power given the shape of the ITRDB raw ring-width data, SM4 different power exponent estimations: SM4

    R scripts.zip

  • Diagnostic plots.zip

    Diagnostic plots presented in SM1. Outlier_plots_negexp contains the outlier screening where the arithmetic mean at the population levels creates much larger values than the robust mean. varmax_diagnostic_pages contains the outlier screening for running 5-year variance >5.

    Diagnostic plots.zip

  • preprocessed data.zip

    pre-processed data produced in the accompanying R scripts.

    preprocessed data.zip