Literature DB >> 31304669

Effects of climate and land-use change scenarios on fire probability during the 21st century in the Brazilian Amazon.

Marisa Gesteira Fonseca1, Lincoln Muniz Alves2, Ana Paula Dutra Aguiar2, Egidio Arai1, Liana Oighenstein Anderson3, Thais Michele Rosan1, Yosio Edemir Shimabukuro1, Luiz Eduardo Oliveira E Cruz de Aragão1,4.   

Abstract

The joint and relative effects of future land-use and climate change on fire occurrence in the Amazon, as well its seasonal variation, are still poorly understood, despite its recognized importance. Using the maximum entropy method (MaxEnt), we combined regional land-use projections and climatic data from the CMIP5 multimodel ensemble to investigate the monthly probability of fire occurrence in the mid (2041-2070) and late (2071-2100) 21st century in the Brazilian Amazon. We found striking spatial variation in the fire relative probability (FRP) change along the months, with October showing the highest overall change. Considering climate only, the area with FRP ≥ 0.3 (a threshold chosen based on the literature) in October increases 6.9% by 2071-2100 compared to the baseline period under the representative concentration pathway (RCP) 4.5 and 27.7% under the RCP 8.5. The best-case land-use scenario ("Sustainability") alone causes a 10.6% increase in the area with FRP ≥ 0.3, while the worse-case land-use scenario ("Fragmentation") causes a 73.2% increase. The optimistic climate-land-use projection (Sustainability and RCP 4.5) causes a 21.3% increase in the area with FRP ≥ 0.3 in October by 2071-2100 compared to the baseline period. In contrast, the most pessimistic climate-land-use projection (Fragmentation and RCP 8.5) causes a widespread increase in FRP (113.5% increase in the area with FRP ≥ 0.3), and prolongs the fire season, displacing its peak. Combining the Sustainability land-use and RCP 8.5 scenarios causes a 39.1% increase in the area with FRP ≥ 0.3. We conclude that avoiding the regress on land-use governance in the Brazilian Amazon (i.e., decrease in the extension and level of conservation of the protected areas, reduced environmental laws enforcement, extensive road paving, and increased deforestation) would substantially mitigate the effects of climate change on fire probability, even under the most pessimistic RCP 8.5 scenario.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  fire modeling; forest degradation; hot pixels; maximum entropy; representative concentration pathway; tropical forest

Mesh:

Year:  2019        PMID: 31304669     DOI: 10.1111/gcb.14709

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  3 in total

1.  Projections of future forest degradation and CO2 emissions for the Brazilian Amazon.

Authors:  Talita O Assis; Ana Paula D Aguiar; Celso von Randow; Carlos A Nobre
Journal:  Sci Adv       Date:  2022-06-15       Impact factor: 14.957

2.  An Improved Gray Neural Network Method to Optimize Spatial and Temporal Characteristics Analysis of Land-Use Change.

Authors:  Yang Yang; Wei Wang; Jiajun Qiao; Ershen Zhang
Journal:  Comput Intell Neurosci       Date:  2022-08-11

3.  Twenty-first century droughts have not increasingly exacerbated fire season severity in the Brazilian Amazon.

Authors:  J M C Pereira; C C Da Camara; R Libonati; L F Peres; D Oom; J A Rodrigues; F L M Santos; R M Trigo; C M P Gouveia; F Machado-Silva; A Enrich-Prast; J M N Silva
Journal:  Sci Rep       Date:  2021-02-23       Impact factor: 4.379

  3 in total

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