Projections of future fire and vegetation variables on European scale

Cite as:

Billing, Maik; Forrest, Matthew; von Bloh, Werner; Bowring, Simon; Hetzer, Jessica; Oberhagemann, Luke; Thonicke, Kirsten (2023): Projections of future fire and vegetation variables on European scale. GFZ Data Services. https://doi.org/10.5880/pik.2023.005

Status

I N R E V I E W : Billing, Maik; Forrest, Matthew; von Bloh, Werner; Bowring, Simon; Hetzer, Jessica; Oberhagemann, Luke; Thonicke, Kirsten (2023): Projections of future fire and vegetation variables on European scale. GFZ Data Services. https://doi.org/10.5880/pik.2023.005

Abstract

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).

Authors

Billing, Maik;Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Forrest, Matthew;Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany
von Bloh, Werner;Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Bowring, Simon;Laboratoire des Sciences du Climat et l'Environnement (LSCE), Paris, France
Hetzer, Jessica;Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), Germany
Oberhagemann, Luke;University of Potsdam, Potsdam, Germany;Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Thonicke, Kirsten;Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany

Contact

Billing, Maik (Researcher) ; Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany;

Keywords

vegetation-fire model, burnt area, vegetation cover, fire regime

GCMD Science Keywords

More Metadata

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  - publicationYear: 2023
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