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Improving Simulated Amazon Forest Biomass and Productivity by Including Spatial Variation in Biophysical Parameters : Volume 10, Issue 4 (05/04/2013)

By Castanho, A. D. A.

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Book Id: WPLBN0004002942
Format Type: PDF Article :
File Size: Pages 18
Reproduction Date: 2015

Title: Improving Simulated Amazon Forest Biomass and Productivity by Including Spatial Variation in Biophysical Parameters : Volume 10, Issue 4 (05/04/2013)  
Author: Castanho, A. D. A.
Volume: Vol. 10, Issue 4
Language: English
Subject: Science, Biogeosciences
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Coe, M. T., Costa, M. H., Quesada, C. A., Galbraith, D., A. Castanh, A. D., & Malhi, Y. (2013). Improving Simulated Amazon Forest Biomass and Productivity by Including Spatial Variation in Biophysical Parameters : Volume 10, Issue 4 (05/04/2013). Retrieved from http://www.ebooklibrary.org/


Description
Description: The Woods Hole Research Center, 149 Woods Hole Rd., Falmouth, MA 02540, USA. Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are close to the observed estimates, but these models are unable to reproduce observed spatial variability. Recent observational studies have shown substantial regional spatial variability of above-ground productivity and biomass across the Amazon basin, which is believed to be primarily driven by a combination of soil physical and chemical properties. In this study, spatial heterogeneity of vegetation properties is added to the Integrated Biosphere Simulator (IBIS) land surface model, and the simulated productivity and biomass of the Amazon basin are compared to observations from undisturbed forest. The maximum RuBiCo carboxylation capacity (Vcmax) and the woody biomass residence time (Τw) were found to be the most important properties determining the modeled spatial variation of above-ground woody net primary productivity and biomass, respectively. Spatial heterogeneity of these properties may lead to simulated spatial variability of 1.8 times in the woody net primary productivity (NPPw) and 2.8 times in the woody above-ground biomass (AGBw). The coefficient of correlation between the modeled and observed woody productivity improved from 0.10 with homogeneous parameters to 0.73 with spatially heterogeneous parameters, while the coefficient of correlation between the simulated and observed woody above-ground biomass improved from 0.33 to 0.88. The results from our analyses with the IBIS dynamic vegetation model demonstrated that using single values for key ecological parameters in the tropical forest biome severely limits simulation accuracy. Clearer understanding of the biophysical mechanisms that drive the spatial variability of carbon allocation, Τw and Vcmax is necessary to achieve further improvements to simulation accuracy.

Summary
Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters

Excerpt
Baker, T. R., Phillips, O. L., Malhi, Y., Almeida, S., Arroyo, L., Di Fiore, A., Erwin, T., Killeen, T. J., Laurance, S. G., Laurance, W. F., Lewis, S. L., Lloyd, J., Monteagudo, A., Neill, D. A., Patiño, S., Pitman, N. C. A., M. Silva, J. N., and Vásquez Martínez, R.: Variation in wood density determines spatial patterns inAmazonian forest biomass, Glob. Change Biol., 10, 545–562, doi:10.1111/j.1365-2486.2004.00751.x, 2004b.; Coe, M. T., Costa, M. H., and Howard, E. A.: Simulating the surface waters of the Amazon River basin: impacts of new river geomorphic and flow parameterizations, Hydrol. Process., 22, 14, 2542–2553, doi:10.1002/hyp.6850, 2007.; Davidson, E. A., De Araujo, A. C., Artaxo, P., Balch, J. K., Brown, I. F., C. Bustamante, M. M., Coe, M. T., Defries, R. S., Keller, M., Longo, M., Munger, J. W., Schroeder, W., Soares-Filho, B. S., Souza, C. M., and Wofsy, S. C.: The Amazon basin in transition, Nature, 481, 321–328, 2012.; 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: results from a dynamic vegetation model, Biogeosciences, 7, 3027–3039, doi:10.5194/bg-7-3027-2010, 2010.; Delire, C. and Foley, J. A.: Evaluating the performance of a land surface/ecosystem model With biophysical measurements from contrasting environments, J. Geophys. Res.-Atmos., 104, 16895–16909, 1999.; Domingues, T. F., Berry, J. A., Martinelli, L. A., Ometto, J. P. H. B., and Ehleringer, J. R.: Parameterization of Canopy Structure and Leaf-Level Gas Exchange for an Eastern Amazonian Tropical Rain Forest (Tapajós National Forest, Pará, Brazil), Earth Interact., 9, 1–23, doi:10.1175/ei149.1, 2005.; 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., Laurance, S. G., Laurance, W. F., Lewis, S. L., Monteagudo, A., Neill, D. A., Núñez Vargas, P., Pitman, N. C. A., Silva, J. N. M., and Vásquez Martínez, R.: Increasing biomass in Amazonian forest plots, Philos. T. Roy. Soc. Lond. B, 359, 353–365, doi:10.1098/rstb.2003.1422, 2004a.; Domingues, T. F., Meir, P., Feldpausch, T. R., Saiz, G., Veenendaal, E. M., Schrodt, F., Bird, M., Djagbletey, G., Hien, F., Compaore, H., Diallo, A., Grace, J., and Lloyd, J. O. N.: Co-limitation of photosynthetic capacity by nitrogen and phosphorus in West Africa woodlands, Plant Cell Environ., 33, 959–980, doi:10.1111/j.1365-3040.2010.02119.x, 2010.; Eva, H. D., Huber, O., Achard, F., Balslev, H., Beck, S., Behling, H., Belward, A. S., Beuchle, R., Cleef, A., Colchester, M., Muller, J. M., Pereira., J. M., Peres, C., Prance, G. T., Roberts, J. M., and Salo, J.: A proposal for defining the geographical boundaries of Amazonia, Report, Eurpean Communities, Luxembourg, 2005.; Feldpausch, T. R., Banin, L., Phillips, O. L., Baker, T. R., Lewis, S. L., Quesada, C. A., Affum-Baffoe, K., Arets, E. J. M. M., Berry, N. J., Bir

 

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