Dataset (parcel variables and predicted PICA map) supplementing the publication "Predicting old-growth structures in temperate small-scale private forests using landscape data"

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Authors: Peter Hansen, Malin Tiebel, Tobías Plieninger, Andreas Mölder
Cited by: 1

Abstract

The dataset about 126 (78 + 48) small-scale private forest parcels contains answer variables and predictors, as well as a geographic map of PICA predictions in the study area used in the publication "Predicting old-growth structures in temperate small-scale private forests using landscape data". Open Access funding enabled and organized by Projekt DEAL. This work was financially supported through the project "Small private forests: Conservation through resource use (KLEIBER)", funded by the German Federal Ministry of Food and Agriculture (BMEL) through the Agency of Renewable Resources (FNR) within the funding program "Renewable Resources" and according to a decision of the German Parliament (FKZ 22001218 and 22023218).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Document type
Dataset