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Analysing Amazonian Forest Productivity Using a New Individual and Trait-based Model (Tfs V.1) : Volume 7, Issue 1 (20/02/2014)

By Fyllas, N. M.

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Book Id: WPLBN0004009612
Format Type: PDF Article :
File Size: Pages 40
Reproduction Date: 2015

Title: Analysing Amazonian Forest Productivity Using a New Individual and Trait-based Model (Tfs V.1) : Volume 7, Issue 1 (20/02/2014)  
Author: Fyllas, N. M.
Volume: Vol. 7, Issue 1
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Ferreira, L., Mercado, L. M., Gloor, E., Malhi, Y., Neill, D. A., Vilanova, E.,...Lloyd, J. (2014). Analysing Amazonian Forest Productivity Using a New Individual and Trait-based Model (Tfs V.1) : Volume 7, Issue 1 (20/02/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Ecology and Global Change, School of Geography, University of Leeds, Leeds, UK. Repeated long-term censuses have revealed large-scale spatial patterns in Amazon Basin forest structure and dynamism, with some forests in the west of the Basin having up to a twice as high rate of aboveground biomass production and tree recruitment as forests in the east. Possible causes for this variation could be the climatic and edaphic gradients across the Basin and/or the spatial distribution of tree species composition. To help understand causes of this variation a new individual-based model of tropical forest growth designed to take full advantage of the forest census data available from the Amazonian Forest Inventory Network (RAINFOR) has been developed. The model incorporates variations in tree size distribution, functional traits and soil physical properties and runs at the stand level with four functional traits, leaf dry mass per area (Ma), leaf nitrogen (NL) and phosphorus (PL) content and wood density (DW) used to represent a continuum of plant strategies found in tropical forests. We first applied the model to validate canopy-level water fluxes at three Amazon eddy flux sites. For all three sites the canopy-level water fluxes were adequately simulated. We then applied the model at seven plots, where intensive measurements of carbon allocation are available. Tree-by-tree multi-annual growth rates generally agreed well with observations for small trees, but with deviations identified for large trees. At the stand-level, simulations at 40 plots were used to explore the influence of climate and soil fertility on the gross (ΠG) and net (ΠN) primary production rates as well as the carbon use efficiency (CU). Simulated ΠG, ΠN and CU were not associated with temperature. However all three measures of stand level productivity were positively related to annual precipitation and soil fertility.

Summary
Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Excerpt
Aragão, L. E. O. C., Malhi, Y., Metcalfe, D. B., Silva-Espejo, J. E., Jiménez, E., Navarrete, D., Almeida, S., Costa, A. C. L., Salinas, N., Phillips, O. L., Anderson, L. O., Alvarez, E., Baker, T. R., Goncalvez, P. H., Huamán-Ovalle, J., Mamani-Solórzano, M., Meir, P., Monteagudo, A., Patiño, S., Peñuela, M. C., Prieto, A., Quesada, C. A., Rozas-Dávila, A., Rudas, A., Silva Jr., J. A., and Vásquez, R.: Above- and below-ground net primary productivity across ten Amazonian forests on contrasting soils, Biogeosciences, 6, 2759–2778, doi:10.5194/bg-6-2759-2009, 2009.; Baker, T. R., Phillips, O. L., Malhi, Y., Almeida, S., Arroyo, L., Di Fiore, A., Erwin, T., Higuchi, N., Killeen, T. J., and Laurance, S. G.: Increasing biomass in Amazonian forest plots, Philos. T. Roy. Soc. B, 359, 353–365, 2004.; Baker, T. R., Phillips, O. L., Laurance, W. F., Pitman, N. C. A., Almeida, S., Arroyo, L., DiFiore, A., Erwin, T., Higuchi, N., Killeen, T. J., Laurance, S. G., Nascimento, H., Monteagudo, A., Neill, D. A., Silva, J. N. M., Malhi, Y., López Gonzalez, G., Peacock, J., Quesada, C. A., Lewis, S. L., and Lloyd, J.: Do species traits determine patterns of wood production in Amazonian forests?, Biogeosciences, 6, 297–307, doi:10.5194/bg-6-297-2009, 2009.; Baraloto, C., Timothy Paine, C. E., Patino, S., Bonal, D., Herault, B., and Chave, J.: Functional trait variation and sampling strategies in species-rich plant communities, Funct. Ecol. 24, 208–216, 2010a.; Baraloto, C., Timothy Paine, C. E., Poorter, L., Beauchene, J., Bonal, D., Domenach, A.-M., Hérault, B., Patiño, S., Roggy, J.-C., and Chave, J.: Decoupled leaf and stem economics in rain forest trees, Ecol. Lett., 13, 1338–1347, 2010b.; Cannell, M. G. R. and Thornley, J. H. M.: Modelling the components of plant respiration: some guiding principles, Ann. Bot.-London, 85, 45–54, 2000.; Cavaleri, M. A., Oberbauer, S. F., and Ryan, M. G.: Foliar and ecosystem respiration in an old-growth tropical rain forest, Plant Cell Environ., 31, 473–483, 2008.; Chao, K.-J., Phillips, O. L., Monteagudo, A., Torres-Lezama, A., and Vásquez Martínez, R.: How do trees die? Mode of death in northern Amazonia, J. Veg. Sci., 20, 260–268, 2009.; Chave, J.: Study of structural, successional and spatial patterns in tropical rain forests using TROLL, a spatially explicit forest model, Ecol. Model., 124, 233–254, 1999.; Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., and Kira, T.: Tree allometry and improved estimation of carbon stocks and balance in tropical forests, Oecologia, 145, 87–99, 2005.; Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G., and Zanne, A. E.: Towards a worldwide wood economics spectrum, Ecol. Lett., 12, 351–366, 2009.; Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., Pryor, M., Rooney, G. G., Essery, R. L. H., Blyth, E., Boucher, O., Harding, R. J., Huntingford, C., and Cox, P. M.: The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics, Geosci. Model Dev., 4, 701–722, doi:10.5194/gmd-4-701-2011, 2011.; Cox, P. M., Betts, R. A., Collins, M., Harris, P. P., Huntingford, C., and Jones, C. D.: Amazonian forest dieback under climate-carbon cycle projections for the 21st century, Theor. Appl. Climatol., 78, 137–156, 2004.; Cramer, W., Bondeau, A., Schaphoff, S., Lucht, W., Smith, B., and Sitch, S.: Tropical forests and the global carbon cycle: impacts of atmospheric carbon dioxide, climate change and rate of deforestation, Philos. T. R. Soc. B, 359, 331–343, 2004.; Delbart, N., Ciais, P., Chave, J., Viovy, N., Malhi, Y., and Le Toan, T.: Mortality as a key driver of the spatial distribution of aboveground biomass in Amazonian forest: resul

 

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