Environmental Data: Soil and climate dependent ingrowth inference

Description

The files contain the data used in Flury et al. "Soil and climate-dependent ingrowth inference: broadleaves on their slow way to conquer Swiss forests" pub...

Citation

Flury, R., Portier, J., Rohner, B., Baltensweiler, A., Meusburger, K., Scherrer, D., Thürig, E., Stadelmann, G. (2023). Soil and climate dependent ingrowth inference. EnviDat. https://www.doi.org/10.16904/envidat.437.

Resources

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Data for figure 2
The R Data container contains the necessary R objects to reconstruct Figure 2, visualizing the effects that drive the number of ingrowth trees from Flury et al. (2023). These objects include the model effects and confidence intervals from the zero-inflated Poisson model (zip_fitaic, summary_zip,), the predicted number of ingrowth trees per production region for NFI4 and NFI5 (mean_freq, sd_freq, mean_freq5, sd_freq5, true_freq, true_freq5), and auxiliary objects (neffects, x_axis predictors, predictor_is). Use the file figure2.R in Resource R-source.zip to reconstruct Figure 2 with this data.
Data for figure 2
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Data for figure 3
The R Data container contains the necessary R objects to reconstruct Figure 3, visualizing the effects that drive the species of ingrowth trees from Flury et al. (2023). These objects include the model effects and confidence intervals from the multinomial model (coefs, confint), the predicted species of ingrowth trees per production region for NFI4 and NFI5 (species_prodreg4, species_prodreg5, nfi4_species_prodreg_prop, nfi5_species_prodreg_prop), and auxiliary objects (neffects, this_species). Use the file figure3.R in Resource R-source.zip to reconstruct Figure 3 with this data.
Data for figure 3
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Data for figure 4
The R Data container contains the necessary R objects to reconstruct Figure 4, visualizing the effects that drive the dbh of ingrowth trees from Flury et al. (2023). These objects include the model effects and confidence intervals from the Weibull-likelihood model (effects, lower, upper, lower10, upper10), the predicted species of ingrowth trees per production region for NFI4 and NFI5 (mean_freq, mean_freq5, true_freq, true_freq5, sd_freq, sd_freq5), and auxiliary objects (nHbart). Use the file figure4.R in Resource R-source.zip to reconstruct Figure 4 with this data.
Data for figure 4
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Data for figure 5
The R Data container contains the necessary data (results_ha) to reconstruct Figure 5, visualizing the projected ingrowth development per hectare from Flury et al. (2023). Use the file figure5.R in Resource R-source.zip to reconstruct Figure 5 with this data.
Data for figure 5
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Data for figure 6
The R Data container contains the necessary R objects (hbart_ch_years, hbart_ch_years_r, hbart_ch_years_a) to reconstruct Figure 6, visualizing the projected shift of tree species compositions from Flury et al. (2023). Use the file figure6.R in Resource R-source.zip to reconstruct Figure 6 with this data.
Data for figure 6
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R Code for figures 2-6
This zip file contains five R scripts to reconstruct Figures 2-6 from Flury et al. (2023). Each script runs independently of the others, and the necessary data can be found in the respective Data container.
R Code for figures 2-6