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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 3
Biogeosciences, 15, 919–936, 2018
https://doi.org/10.5194/bg-15-919-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 15, 919–936, 2018
https://doi.org/10.5194/bg-15-919-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 Dionizio1, Marcos Heil Costa1, Andrea D. de Almeida Castanho2, Gabrielle Ferreira Pires1, Beatriz Schwantes Marimon3, Ben Hur Marimon-Junior3, Eddie Lenza3, Fernando Martins Pimenta1, Xiaojuan Yang4, and Atul K. Jain5 Emily Ane Dionizio et al.
  • 1Department of Agricultural Engineering, Federal University of Viçosa (UFV), Viçosa, MG 36570-000, Brazil
  • 2The Woods Hole Research Center, 149 Woods Hole Rd., Falmouth, MA 02540, USA
  • 3Plant Ecology Laboratory, State University of Mato Grosso, Nova Xavantina Campus, Nova Xavantina, MT 78690-000, Brazil
  • 4Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  • 5Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

Abstract. Climate, fire and soil nutrient limitation are important elements that affect vegetation dynamics in areas of the forest–savanna transition. In this paper, we use the dynamic vegetation model INLAND to evaluate the influence of interannual climate variability, fire and phosphorus (P) limitation on Amazon–Cerrado transitional vegetation structure and dynamics. We assess how each environmental factor affects net primary production, leaf area index and aboveground biomass (AGB), and compare the AGB simulations to an observed AGB map. We used two climate data sets (monthly average climate for 1961–1990 and interannual climate variability for 1948–2008), two data sets of total soil P content (one based on regional field measurements and one based on global data), and the INLAND fire module. Our results show that the inclusion of interannual climate variability, P limitation and fire occurrence each contribute to simulating vegetation types that more closely match observations. These effects are spatially heterogeneous and synergistic. In terms of magnitude, the effect of fire is strongest and is the main driver of vegetation changes along the transition. Phosphorus limitation, in turn, has a stronger effect on transitional ecosystem dynamics than interannual climate variability does. Overall, INLAND typically simulates more than 80 % of the AGB variability in the transition zone. However, the AGB in many places is clearly not well simulated, indicating that important soil and physiological factors in the Amazon–Cerrado border region, such as lithology, water table depth, carbon allocation strategies and mortality rates, still need to be included in the model.

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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.
Using a dynamic vegetation model, we demonstrate that fire occurrence is the main determinant...
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