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Fire drives functional thresholds on the savanna–forest transition
Abstract
In tropical landscapes, vegetation patches with contrasting tree densities are distributed as mosaics. However, the locations of patches and densities of trees within them cannot be predicted by climate models alone. It has been proposed that plant–fire feedbacks drive functional thresholds at a landscape scale, thereby maintaining open (savanna) and closed (forest) communities as two distinct stable states. However, there is little rigorous field evidence for this threshold model. Here we aim to provide support for such a model from a field perspective and to analyze the functional and phylogenetic consequences of fire in a Brazilian savanna landscape (Cerrado). We hypothesize that, in tropical landscapes, savanna and forest are two stable states maintained by plant–fire feedbacks. If so, their functional and diversity attributes should change abruptly along a community closure gradient. We set 98 plots along a gradient from open savanna to closed forest in the Brazilian Cerrado and tested for a threshold pattern in nine functional traits, five soil features, and seven diversity indicators. We then tested whether the threshold pattern was associated with different fire regimes. Most community attributes presented a threshold pattern on the savanna–forest transition with coinciding breakpoints. The thresholds separated two community states: (1) open environments with low‐diversity communities growing in poor soils and dominated by plants that are highly resistant to high‐intensity fires; and (2) closed environments with highly diverse plant communities growing in more fertile soils and dominated by shade‐tolerant species that efficiently prevent light from reaching the understory. In addition, each state was associated with contrasting fire regimes. Our results are consistent with the hypothesis that forests and savannas are two coexisting stable states with contrasting patterns of function and diversity that are regulated by fire–plant feedbacks; our results also shed light on the mechanism driving each state. Overall, our results support the idea that fire plays an important role in regulating the distribution of savanna and forest biomes in tropical landscapes.
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“Positive feedbacks, whereby frequent burning maintains flammable plant communities, can perpetuate grasslands and savannas in regions climatically suitable for forests (Dantas, Batalha, & Pausas, 2013;Harms, Gagnon, Passmore, Myers, & Platt, 2017;Hoffmann et al., 2012).”
From Fire as a fundamental ecological process: Research advances and frontiers (2020) · cites this paper as Dantas, Batalha, & Pausas, 2013
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Metadata
- Authors
- de L. Dantas, V., Batalha, M. A., & Pausas, J. G.
- Affiliations
- Universidade Federal de São Carlos (BR)
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Pausas, Juli G.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2013-11
- Volume
- 94
- Issue
- 11
- Pages
- 2454-2463
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2114479255
- Cited by
- 222
- References
- 55
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 10 · 2023: 22 · 2022: 15 · 2021: 20 · 2020: 20 · 2019: 13 · 2018: 23 · 2017: 17 · 2016: 26 · 2015: 18 · 2014: 7 · 2013: 5
- FWCI
- 14.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecology (publishedVersion)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Keywords
- forest-savanna transition, stable states, Cerrado, fire regimes, plant functional traits, phylogenetic diversity, tree species diversity, soil fertility, fire resistance, shade tolerance
- MeSH terms
- Fires, Soil, Species Specificity, Time Factors, Trees, Ecosystem
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