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

Autor(es):Mostrar menos -

Fisher, Rosie A. ^[1] ; Koven, Charles D. ^[2] ; Anderegg, William R. L. ^[3] ; Christoffersen, Bradley O. ^[4] ; Dietze, Michael C. ^[5] ; Farrior, Caroline E. ^[6] ; Holm, Jennifer A. ^[2] ; Hurtt, George C. ^[7] ; Knox, Ryan G. ^[2] ; Lawrence, Peter J. ^[1] ; Lichstein, Jeremy W. ^[8] ; Longo, Marcos ^[9] ; Matheny, Ashley M. ^[10] ; Medvigy, David ^[11] ; Muller-Landau, Helene C. ^[12] ; Powell, Thomas L. ^[2] ; Serbin, Shawn P. ^[13] ; Sato, Hisashi ^[14] ; Shuman, Jacquelyn K. ^[1] ; Smith, Benjamin ^[15] ; Trugman, Anna T. ^[16] ; Viskari, Toni ^[12] ; Verbeeck, Hans ^[17] ; Weng, Ensheng ^[18] ; Xu, Chonggang ^[4] ; Xu, Xiangtao ^[19] ; Zhang, Tao ^[8] ; Moorcroft, Paul R. ^[20]

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^[1] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 - USA

^[2] Lawrence Berkeley Natl Lab, Berkeley, CA - USA

^[3] Univ Utah, Dept Biol, Salt Lake City, UT 84112 - USA

^[4] Los Alamos Natl Lab, Los Alamos, NM - USA

^[5] Boston Univ, Dept Earth & Environm, Boston, MA 02215 - USA

^[6] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 - USA

^[7] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 - USA

^[8] Univ Florida, Dept Biol, Gainesville, FL - USA

^[9] Embrapa Agr Informat, Campinas, SP - Brazil

^[10] Univ Texas Austin, Jackson Sch Geosci, Dept Geol Sci, Austin, TX 78712 - USA

^[11] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 - USA

^[12] Smithsonian Trop Res Inst, Panama City - Panama

^[13] Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 - USA

^[14] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Yokohama, Kanagawa - Japan

^[15] Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund - Sweden

^[16] Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 - USA

^[17] Univ Ghent, Fac Biosci Engn, Dept Appl Ecol & Environm Biol, Ghent - Belgium

^[18] Columbia Univ, Ctr Climate Syst Res, New York, NY - USA

^[19] Princeton Univ, Dept Geosci, Princeton, NJ 08544 - USA

^[20] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 - USA

• Tipo de documento: Artigo de Revisão
• Fonte: GLOBAL CHANGE BIOLOGY; v. 24, n. 1, p. 35-54, JAN 2018.
• Citações Web of Science: 98

Resumo

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. (AU)

• Processo FAPESP: 15/07227-6 - Degradação florestal na Amazônia: impactos em longo prazo no ciclo de carbono
• Beneficiário: Marcos Longo
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado