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Additional file 1 of National Forest Inventories capture the multifunctionality of managed forests in Germany

Authors :
Simons, Nadja K.
Felipe-Lucia, María R.
Schall, Peter
Ammer, Christian
Bauhus, Jürgen
Blüthgen, Nico
Boch, Steffen
Buscot, François
Fischer, Markus
Kezia Goldmann
Gossner, Martin M.
Hänsel, Falk
Jung, Kirsten
Manning, Peter
Nauss, Thomas
Oelmann, Yvonne
Pena, Rodica
Polle, Andrea
Renner, Swen C.
Schloter, Michael
Schöning, Ingo
Ernst-Detlef Schulze
Solly, Emily F.
Sorkau, Elisabeth
Stempfhuber, Barbara
Tesfaye Wubet
Müller, Jörg
Seibold, Sebastian
Weisser, Wolfgang W.
Publication Year :
2021
Publisher :
figshare, 2021.

Abstract

Additional file 1: Supplementary Figure 1. Ordinary least squares regression between forest structural parameters of 124 forest plots from the Biodiversity Exploratories (calibration sites). Supplementary Figure 2. Comparison between observed and predicted data based on subsets of the Biodiversity Exploratories plots. Supplementary Figure 3. Procedure of forest inventory plot selection for the extrapolation of ecosystem service indicators. Supplementary Figure 4. Averages and 95% confidence intervals for the initial set of predictors (forest structural and abiotic parameters) calculated for the final set of 53 forest types. Supplementary Figure 5. Principal components space based on the forest structural and compositional parameters and abiotic parameters. Supplementary Figure 6.: Predicted levels of ecosystem service indicators for the 53 most dominant forest types in Germany. Supplementary Table 1. List of ecosystem service indicators with corresponding categories and unit of measurement. Supplementary Table 2. Coefficients of ecosystem service models based on forest structural and compositional parameters and abiotic parameters. Supplementary Table 3. Number of forest inventory plots used to predict potential ecosystem service supply across Germany.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....3aafd4e80124b13f7a00bb68b139dd9e
Full Text :
https://doi.org/10.6084/m9.figshare.13646986.v1