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false4DOIDB.PIK 10.5880/pik.2023.005 Billing, Maik Maik Billing 0000-0001-7315-7007 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Forrest, Matthew Matthew Forrest 0000-0003-1858-3489 Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany von Bloh, Werner Werner von Bloh 0000-0002-7399-2704 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Bowring, Simon Simon Bowring 0000-0002-0041-0937 Laboratoire des Sciences du Climat et l'Environnement (LSCE), Paris, France Hetzer, Jessica Jessica Hetzer 0000-0002-2384-0024 Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany Oberhagemann, Luke Luke Oberhagemann 0000-0002-4437-9003 University of Potsdam, Potsdam, Germany Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Thonicke, Kirsten Kirsten Thonicke 0000-0001-5283-4937 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany GFZ Data Services 2023 vegetation-fire model burnt area vegetation cover fire regime EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH SCIENCE SERVICES > ENVIRONMENTAL ADVISORIES > FIRE ADVISORIES > WILDFIRES EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS Billing, Maik Maik Billing 0000-0001-7315-7007 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Billing, Maik Maik Billing 0000-0001-7315-7007 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Billing, Maik Maik Billing 0000-0001-7315-7007 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Forrest, Matthew Matthew Forrest 0000-0003-1858-3489 Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany von Bloh, Werner Werner von Bloh 0000-0002-7399-2704 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Bowring, Simon Simon Bowring 0000-0002-0041-0937 Laboratoire des Sciences du Climat et l'Environnement (LSCE), Paris, France Hetzer, Jessica Jessica Hetzer 0000-0002-2384-0024 Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany Oberhagemann, Luke Luke Oberhagemann 0000-0002-4437-9003 University of Potsdam, Potsdam, Germany Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Thonicke, Kirsten Kirsten Thonicke 0000-0001-5283-4937 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Thonicke, Kirsten Kirsten Thonicke 0000-0001-5283-4937 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Billing, Maik Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany 2000-01-01/2100-12-31 Dataset DOI of paper when available.... will there be a paper? 10.1038/sdata.2018.4 10.5194/ACP-13-7997-2013 https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v20/en/ 10.5194/bg-7-1991-2010 10.1038/s41597-022-01675-x CC BY 4.0 This dataset contains simulated vegetation and fire variables using the LPJmLv5.6-SPITFIRE and LPJmLv5.6-SPITFIRE-BASE coupled vegetation-fire model. LPJmL is a Dynamic Global Vegetation Model (DGVM), which simulates impacts of climate change and vegetation including carbon, water and energy fluxes on land. SPITFIRE is a process-based fire model that is developed at the Potsdam Institute for Climate Impact Research (PIK) simulating ignitions, fire spread, fuel combustion and plant mortality. BASE is an empirical burned area model, developed at Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), that is based on remotely sensed information using generalised linear model (GLM) techniques provided by data sources from within the HORIZON2020 project FirEUrisk and elsewhere.

The dataset contains a set of future changes in vegetation and fire variables under future climate and land-use change at the European (ET) scale at 9 km covering 2000-2100 for both couple vegetation-fire models. The models were forced with 5 climate models from the SSP126 and SSP370 climate scenarios (its downscaling to ~9 km grid cell resolution) as well as the land-use projections corresponding to those climate scenarios (provided at ~9 km grid cell resolution). The variables provided in this dataset are at monthly and annual temporal resolution. The simulated changes in fire and vegetation spatio-temporal patterns are the result of changes in climate and land-use and subsequent fire-vegetation feedbacks.

This data has been developed in the course of the HORIZON2020 project FirEUrisk (Deliverable 3.4; Grant Agreement no. 101003890).
~9km spatial grid resolution, 21st century, monthly and annual resolution (depending on variable) -10.3364 31.4298 35.0362 70.8961 Horizon 2020 Framework Programme http://dx.doi.org/10.13039/100010661 101003890 FirEUrisk