10.48364/ISIMIP.482888.3 Iliusi Vega del Valle Iliusi Vega del Valle 0000-0001-6902-2257 Christopher P.O. Reyer Christopher P.O. Reyer 0000-0003-1067-1492 Mahé Perrette Mahé Perrette 0000-0002-6309-4863 ISIMIP Repository 2025 EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST HARVESTING AND ENGINEERING EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS EARTH SCIENCE > HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > DEFORESTATION Matthias Büchner Matthias Büchner 0000-0002-1382-7424 Jochen Klar Jochen Klar 0000-0002-5883-4273 Lisa Novak Lisa Novak 0009-0003-5086-1079 Stefanie Heinicke Stefanie Heinicke 0000-0003-0222-5281 Matthias Mengel Matthias Mengel 0000-0001-6724-9685 Christian Otto Christian Otto 0000-0001-5500-6774 Franziska Piontek Franziska Piontek 0000-0003-4305-7552 Dánnell Quesada-Chacón Dánnell Quesada-Chacón 0000-0001-5700-1846 Christopher P.O. Reyer Christopher P.O. Reyer 0000-0003-1067-1492 Inga Sauer Inga Sauer 0000-0002-9302-2131 Jacob Schewe Jacob Schewe 0000-0001-9455-4159 Jan Volkholz Jan Volkholz 0000-0002-2533-3739 Martin Park Martin Park 0000-0002-2467-3256 Katja Frieler Katja Frieler 0000-0003-4869-3013 Potsdam Institute for Climate Impact Research (PIK) 03e8s1d88 2025-09-08 en Input dataset https://protocol.isimip.org https://www.isimip.org/gettingstarted/input-data-bias-correction/details/83/ https://doi.org/10.1007/s10584-011-0153-2 https://doi.org/10.5194/gmd-13-5425-2020 https://doi.org/10.22033/ESGF/input4MIPs.10468 https://doi.org/10.22033/ESGF/input4MIPs.10454 https://doi.org/10.48364/ISIMIP.482888.2 1.3 CC0 1.0 Universal Public Domain Dedication The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.<br>This dataset presents historical annual country-level wood harvesting data, covering the period 1850-2017. It is an adaptation of the gridded wood harvesting data provided by the LUH2 v2h Harmonization Data Set (Hurtt et al., 2011), to allow its use as input for the ISIMIP biome model simulations. The gridded LUH2 v2h data set reconstructs forest areas differently than other forest reconstructions used by the ISIMIP vegetation models. Providing the data as annual aggregated values per country, and not as a gridded dataset, allows ISIMIP modellers to use the same dataset but their own model specific rules to include harvesting.<br>Version 1.1 of this dataset adds the 1901soc scenario with fixed year-1901 direct human influences.<br>Version 1.2. adds the years 2020 and 2021.<br>Version 1.3 of this dataset resolves an issue with wrong wood harvesting and land-transformation data (https://data.isimip.org/issues/64/). The data is based on the LUH2 v2h Harmonization Data Set (see Hurtt et al. 2011; see also https://luh.umd.edu). Interpolated to a 0.5° grid using first-order conservative remapping and calculated over a fractional country mask (https://gitlab.pik-potsdam.de/isipedia/countrymasks/-/blob/master/) derived from ASAP-GAUL (https://data.europa.eu/euodp/data/dataset/jrc-10112-10004).<br>The data was extended to 2018-2020 by using the values for 2017. global -179.5 179.5 -89.5 89.5