Articles | Volume 15, issue 3
https://doi.org/10.5194/bg-15-919-2018
https://doi.org/10.5194/bg-15-919-2018
Research article
 | 
15 Feb 2018
Research article |  | 15 Feb 2018

Influence of climate variability, fire and phosphorus limitation on vegetation structure and dynamics of the Amazon–Cerrado border

Emily Ane Dionizio, Marcos Heil Costa, Andrea D. de Almeida Castanho, Gabrielle Ferreira Pires, Beatriz Schwantes Marimon, Ben Hur Marimon-Junior, Eddie Lenza, Fernando Martins Pimenta, Xiaojuan Yang, and Atul K. Jain

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Influence of climate variability, fire and phosphorus limitation on the vegetation structure and dynamics in the Amazon-Cerrado border
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Biogeosciences Discuss., https://doi.org/10.5194/bg-2016-510,https://doi.org/10.5194/bg-2016-510, 2016
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Cited articles

Andreoli, R. V., Ferreira de Souza, R. A., Kayano, M. T., and Candido, L. A.: Seasonal anomalous rainfall in the central and eastern Amazon and associated anomalous oceanic and atmospheric patterns, Int. J. Climatol., 32, 1193–1205, https://doi.org/10.1002/joc.2345, 2012.
Arora, V. K. and Boer, G. J.: Fire as an interactive component of dynamic vegetation models, J. Geophys. Res, 110, G02008, https://doi.org/10.1029/2005JG000042, 2005.
Balch, J. K., Brando, P. M., Nepstad, D. C., Coe, M. T., Silvério, D., Massad, T. J., Davidson, E. A., Lefebvre, P., Oliveira-Santos, C., Rocha, W., Cury, R. T. S., Parsons, A., and Carvalho, K. S.: The Susceptibility of Southeastern Amazon Forests to Fire: Insights from a Large-Scale Burn Experiment, Bioscience, 65, 893–905, https://doi.org/10.1093/biosci/biv106, 2015.
Beguería, S., Vicente-Serrano, S. M., Tomás-Burguera, M., and Maneta, M.: Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability. Int. J. Climatol., 36, 3413–3422, https://doi.org/10.1002/joc.4561, 2016.
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Using a dynamic vegetation model, we demonstrate that fire occurrence is the main determinant factor of vegetation changes along the Amazon–Cerrado border, followed by nutrient limitation and interannual climate variability. Although we simulated more than 80 % of the variability of biomass in the transition zone, in many places the simulated biomass clearly does not match observations. The accurate representation of the transition is important for understanding the savannization of the Amazon.
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