학술논문
Climate-ecosystem modelling made easy: The Land Sites Platform.
Document Type
Academic Journal
Author
Keetz LT; Department of Geosciences, University of Oslo, Oslo, Norway.; Lieungh E; Natural History Museum, University of Oslo, Oslo, Norway.; Karimi-Asli K; Department of Geosciences, University of Oslo, Oslo, Norway.; Geange SR; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Gelati E; Department of Geosciences, University of Oslo, Oslo, Norway.; Tang H; Department of Geosciences, University of Oslo, Oslo, Norway.; Natural History Museum, University of Oslo, Oslo, Norway.; Finnish Meteorological Institute, Climate System Research, Helsinki, Finland.; Yilmaz YA; Department of Geosciences, University of Oslo, Oslo, Norway.; Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway.; Aas KS; Department of Geosciences, University of Oslo, Oslo, Norway.; CICERO Center for International Climate Research, Oslo, Norway.; Althuizen IHJ; Division of Climate and Environment, NORCE Norwegian Research Centre, Bergen, Norway.; Bryn A; Natural History Museum, University of Oslo, Oslo, Norway.; Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway.; Falk S; Department of Geography, Ludwig Maximilian University of Munich, Munich, Germany.; Fisher R; CICERO Center for International Climate Research, Oslo, Norway.; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.; Fouilloux A; Simula Research Laboratory AS, Oslo, Norway.; Horvath P; Natural History Museum, University of Oslo, Oslo, Norway.; Indrehus S; Norwegian Geotechnical Institute (NGI), Oslo, Norway.; Lee H; Division of Climate and Environment, NORCE Norwegian Research Centre, Bergen, Norway.; Department of Biology, Norwegian University of Science and Technology NTNU, Trondheim, Norway.; Lombardozzi D; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.; Parmentier FW; Department of Geosciences, University of Oslo, Oslo, Norway.; Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway.; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.; Pirk N; Department of Geosciences, University of Oslo, Oslo, Norway.; Vandvik V; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.; Vollsnes AV; Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway.; Department of Biosciences, University of Oslo, Oslo, Norway.; Skarpaas O; Natural History Museum, University of Oslo, Oslo, Norway.; Stordal F; Department of Geosciences, University of Oslo, Oslo, Norway.; Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway.; Tallaksen LM; Department of Geosciences, University of Oslo, Oslo, Norway.
Source
Publisher: Blackwell Pub Country of Publication: England NLM ID: 9888746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2486 (Electronic) Linking ISSN: 13541013 NLM ISO Abbreviation: Glob Chang Biol Subsets: MEDLINE
Subject
Language
English
Abstract
Dynamic Global Vegetation Models (DGVMs) provide a state-of-the-art process-based approach to study the complex interplay between vegetation and its physical environment. For example, they help to predict how terrestrial plants interact with climate, soils, disturbance and competition for resources. We argue that there is untapped potential for the use of DGVMs in ecological and ecophysiological research. One fundamental barrier to realize this potential is that many researchers with relevant expertize (ecology, plant physiology, soil science, etc.) lack access to the technical resources or awareness of the research potential of DGVMs. Here we present the Land Sites Platform (LSP): new software that facilitates single-site simulations with the Functionally Assembled Terrestrial Ecosystem Simulator, an advanced DGVM coupled with the Community Land Model. The LSP includes a Graphical User Interface and an Application Programming Interface, which improve the user experience and lower the technical thresholds for installing these model architectures and setting up model experiments. The software is distributed via version-controlled containers; researchers and students can run simulations directly on their personal computers or servers, with relatively low hardware requirements, and on different operating systems. Version 1.0 of the LSP supports site-level simulations. We provide input data for 20 established geo-ecological observation sites in Norway and workflows to add generic sites from public global datasets. The LSP makes standard model experiments with default data easily achievable (e.g., for educational or introductory purposes) while retaining flexibility for more advanced scientific uses. We further provide tools to visualize the model input and output, including simple examples to relate predictions to local observations. The LSP improves access to land surface and DGVM modelling as a building block of community cyberinfrastructure that may inspire new avenues for mechanistic ecosystem research across disciplines.
(© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
(© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)