LPJmL-FIT in Europe

Cite as:

Billing, Maik; Thonicke, Kirsten; von Bloh, Werner; Sakschewski, Boris (2019): LPJmL-FIT in Europe. V. 1. GFZ Data Services. https://doi.org/10.5880/PIK.2019.022

Status

I N R E V I E W : Billing, Maik; Thonicke, Kirsten; von Bloh, Werner; Sakschewski, Boris (2019): LPJmL-FIT in Europe. V. 1. GFZ Data Services. https://doi.org/10.5880/PIK.2019.022

Abstract

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.

Authors

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

Contact

Thonicke Kirsten (priv. Dozentin); PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany; ➦

Contributors

Thonicke Kirsten

Funders

Horizon 2020 Framework Programme: ECOPOTENTIAL (641762)

Keywords

functional diversity, functional traits, trait based modeling, process-based modeling, vegetation modeling, natural forests, forests, Europe

GCMD Science Keywords

More Metadata

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    - title: LPJmL-FIT in Europe
  - publisher: GFZ Data Services
  - publicationYear: 2019
  - subjects
    - subject: functional diversity
    - subject: functional traits
    - subject: trait based modeling
    - subject: process-based modeling
    - subject: vegetation modeling
    - subject: natural forests
    - subject: forests
    - subject: Europe
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > COMMUNITY DYNAMICS > BIODIVERSITY FUNCTIONS
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > COMMUNITY DYNAMICS > COMMUNITY STRUCTURE
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION
    - subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE > BIOSPHERE > VEGETATION > EVERGREEN VEGETATION
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