globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13910
Scopus记录号: 2-s2.0-85039738868
论文题名:
Vegetation demographics in Earth System Models: A review of progress and priorities
作者: Fisher R.A.; Koven C.D.; Anderegg W.R.L.; Christoffersen B.O.; Dietze M.C.; Farrior C.E.; Holm J.A.; Hurtt G.C.; Knox R.G.; Lawrence P.J.; Lichstein J.W.; Longo M.; Matheny A.M.; Medvigy D.; Muller-Landau H.C.; Powell T.L.; Serbin S.P.; Sato H.; Shuman J.K.; Smith B.; Trugman A.T.; Viskari T.; Verbeeck H.; Weng E.; Xu C.; Xu X.; Zhang T.; Moorcroft P.R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期:1
起始页码: 35
结束页码: 54
语种: 英语
英文关键词: carbon cycle ; demographics ; dynamic global vegetation models ; Earth System Model ; ecosystem ; vegetation
Scopus关键词: carbon cycle ; demography ; ecophysiology ; ecosystem dynamics ; ecosystem modeling ; gas exchange ; vegetation dynamics
英文摘要: 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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110586
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: National Center for Atmospheric Research, Boulder, CO, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Biology, University of Utah, Salt Lake City, UT, United States; Los Alamos National Laboratory, Los Alamos, NM, United States; Department of Earth and Environment, Boston University, Boston, MA, United States; Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States; Department of Geographical Sciences, University of Maryland, College Park, MD, United States; Department of Biology, University of Florida, Gainesville, FL, United States; Embrapa Agricultural Informatics, Campinas, Brazil; Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX, United States; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States; Smithsonian Tropical Research Institute, Panamá, Panama; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, United States; Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States; Department of Applied Ecology and Environmental Biology, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium; Center for Climate Systems Research, Columbia University, New York, NY, United States; Department of Geosciences, Princeton University, Princeton, NJ, United States; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States

Recommended Citation:
Fisher R.A.,Koven C.D.,Anderegg W.R.L.,et al. Vegetation demographics in Earth System Models: A review of progress and priorities[J]. Global Change Biology,2018-01-01,24(1)
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