LPJmL-FIT in Europe

DOI

LPJmL-FIT is process- and trait-based vegetation model. It is a subversion of the model LPJmL simulating patches of competing individual trees with flexible functional traits and empirically derived relations between these traits. Trait composition, productivity and stability of a forest are a result of environmental and competitive filtering. A detailed description of LPJmL-FIT (basic features and differences to LPJmL) is given by Sakschewski et al. (Sakschewski et al., 2015, https://doi.org/10.1111/gcb.12870). LPJmL-FIT was originally developed for tropical forests and has been adapted to European forests by Thonicke et al. (2020). The data covers southern and central Europe (29.5°N – 62°N, 11°W – 36°O) on a spatial resolution of 0.5° covering the years 1901-2013. Tree height, leaf and stem traits (specific leaf area, wood density, leaf longevity; aggregated), individual traits of simulated trees, vegetation distribution (foliage projected cover, FPC), vegetation carbon and fire carbon emissions are given on an annual basis. Gross primary productivity is provided monthly. Tree height and leaf and stem traits are biomass weighted. For evaluation of the dataset R- and MATLAB-scripts are provided.An overview and description of all variables are found in the file description.

Identifier
DOI https://doi.org/10.5880/PIK.2019.022
Related Identifier https://doi.org/10.1111/jbi.13809
Related Identifier http://www.fao.org/fileadmin/templates/nr/documents/HWSD/HWSD_Documentation.pdf
Related Identifier https://doi.org/10.1111/gcb.12870
Related Identifier https://doi.org/10.5880/PIK.2018.002
Related Identifier https://doi.org/10.1175/2011JHM1369.1
Related Identifier https://doi.org/10.1002/2014WR015638
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6808
Provenance
Creator Billing, Maik (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany); Thonicke, Kirsten (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany); von Bloh, Werner (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany); Sakschewski, Boris (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany)
Publisher GFZ Data Services
Contributor Billing, Maik; Thonicke, Kirsten; von Bloh, Werner; Sakschewski, Boris
Publication Year 2019
Funding Reference Horizon 2020 Framework Programme, 641762
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Thonicke, Kirsten (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany); von Bloh, Werner (PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany)
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 2 Files
Version 1
Discipline Geosciences
Spatial Coverage (-11.000W, 29.500S, 36.000E, 62.000N); Southern and Central Europe
Temporal Coverage Begin 1901-01-01T00:00:00Z
Temporal Coverage End 2013-12-31T00:00:00Z