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SEIB-DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/18649

Title: SEIB-DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach
Authors: Sato, Hisashi Browse this author
Itoh, Akihiko Browse this author
Kohyama, Takashi Browse this author →KAKEN DB
Keywords: Dynamic Global Vegetation Model
Biogeochemical model
Individual-base model
Plant community-dynamics
Size structure
Vegetation dynamics
Issue Date: 24-Jan-2007
Publisher: Elsevier B.V.
Journal Title: Ecological Modelling
Volume: 200
Issue: 3-4
Start Page: 279
End Page: 307
Publisher DOI: 10.1016/j.ecolmodel.2006.09.006
Abstract: We report the development of a new spatially explicit individual-based Dynamic Global Vegetation Model (SEIB–DGVM), the first DGVM that can simulate the local interactions among individual trees within a spatially explicit virtual forest. In the model, a sample plot is placed at each grid box, and then the growth, competition, and decay of each individual tree within each plot is calculated by considering the environmental conditions for that tree as it relates to the trees that surround it. Based on these parameters only, the model simulated time lags between climate change and vegetation change. This time lags elongated when original biome was forest, because existing trees prevent newly establish trees from receiving enough sunlight and space to quickly replace the original vegetation. This time lags also elongated when horizontal heterogeneity of sunlight distribution was ignored, indicating the potential importance of horizontal heterogeneity for predicting transitional behavior of vegetation under changing climate. On a local scale, the model reproduced climate zone-specific patterns of succession, carbon dynamics, and water flux, although on a global scale, simulations were not always in agreement with observations. Because the SEIB–DGVM was formulated to the scale at which field biologists work, the measurements of relevant parameters and data comparisons are relatively straightforward, and the model should enable more robust modeling of terrestrial ecosystems.
Relation: http://www.sciencedirect.com/science/journal/03043800
Type: article (author version)
URI: http://hdl.handle.net/2115/18649
Appears in Collections:環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 甲山 隆司

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