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  • EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 EVERGREEN VEGETATION  (1)
  • Experiment; File format; File name; File size; Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; Parameter; Uniform resource locator/link to model result file; Unit  (1)
  • 1
    Publication Date: 2024-03-06
    Description: Abstract
    Description: 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.
    Keywords: functional diversity ; functional traits ; trait based modeling ; process-based modeling ; vegetation modeling ; natural forests ; forests ; Europe ; EARTH SCIENCE 〉 BIOSPHERE 〉 ECOLOGICAL DYNAMICS 〉 COMMUNITY DYNAMICS 〉 BIODIVERSITY FUNCTIONS ; EARTH SCIENCE 〉 BIOSPHERE 〉 ECOLOGICAL DYNAMICS 〉 COMMUNITY DYNAMICS 〉 COMMUNITY STRUCTURE ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 BIOMASS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 DECIDUOUS VEGETATION ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 EVERGREEN VEGETATION
    Type: Dataset , Dataset
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  • 2
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    PANGAEA
    In:  Supplement to: Kleinen, Thomas; Brovkin, Victor; von Bloh, Werner; Archer, David E; Munhoven, Guy (2011): Holocene carbon cycle dynamics. Geophysical Research Letters, 37, L02705, 5 pp, https://doi.org/10.1029/2009GL041391
    Publication Date: 2024-05-31
    Description: We are investigating the late Holocene rise in CO2 by performing four experiments with the climate-carbon-cycle model CLIMBER2-LPJ. Apart from the deep sea sediments, important carbon cycle processes considered are carbon uptake or release by the vegetation, carbon uptake by peatlands, and CO 2 release due to shallow water sedimentation of CaCO3. Ice core data of atmospheric CO2 between 8 ka BP and preindustrial climate can only be reproduced if CO2 outgassing due to shallow water sedimentation of CaCO3 is considered. In this case the model displays an increase of nearly 20 ppmv CO2 between 8 ka BP and present day. Model configurations that do not contain this forcing show a slight decrease in atmospheric CO2. We can therefore explain the late Holocene rise in CO2 by invoking natural forcing factors only, and anthropogenic forcing is not required to understand preindustrial CO2 dynamics.
    Keywords: Experiment; File format; File name; File size; Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; Parameter; Uniform resource locator/link to model result file; Unit
    Type: Dataset
    Format: text/tab-separated-values, 285 data points
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