Vegetation demographics in Earth System Models: A review of progress and priorities.

Autor: Fisher RA; National Center for Atmospheric Research, Boulder, CO, USA., Koven CD; Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Anderegg WRL; Department of Biology, University of Utah, Salt Lake City, UT, USA., Christoffersen BO; Los Alamos National Laboratory, Los Alamos, NM, USA., Dietze MC; Department of Earth and Environment, Boston University, Boston, MA, USA., Farrior CE; Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA., Holm JA; Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Hurtt GC; Department of Geographical Sciences, University of Maryland, College Park, MD, USA., Knox RG; Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Lawrence PJ; National Center for Atmospheric Research, Boulder, CO, USA., Lichstein JW; Department of Biology, University of Florida, Gainesville, FL, USA., Longo M; Embrapa Agricultural Informatics, Campinas, Brazil., Matheny AM; Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX, USA., Medvigy D; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA., Muller-Landau HC; Smithsonian Tropical Research Institute, Panamá, Panamá., Powell TL; Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Serbin SP; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, USA., Sato H; Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan., Shuman JK; National Center for Atmospheric Research, Boulder, CO, USA., Smith B; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden., Trugman AT; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA., Viskari T; Smithsonian Tropical Research Institute, Panamá, Panamá., Verbeeck H; Department of Applied Ecology and Environmental Biology, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium., Weng E; Center for Climate Systems Research, Columbia University, New York, NY, USA., Xu C; Los Alamos National Laboratory, Los Alamos, NM, USA., Xu X; Department of Geosciences, Princeton University, Princeton, NJ, USA., Zhang T; Department of Biology, University of Florida, Gainesville, FL, USA., Moorcroft PR; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Jazyk: angličtina
Zdroj: Global change biology [Glob Chang Biol] 2018 Jan; Vol. 24 (1), pp. 35-54. Date of Electronic Publication: 2017 Oct 24.
DOI: 10.1111/gcb.13910
Abstrakt: Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow models to be applied to new processes and questions concerning the dynamics of real-world ecosystems. We argue that stronger and more innovative connections to data, across the range of scales considered, are required to address these gaps in understanding. The development of first-generation land surface models as a unifying framework for ecophysiological understanding stimulated much research into plant physiological traits and gas exchange. Constraining predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter-disciplinary communication.
(© 2017 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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