Published December 21, 2022 | Version v1
Dataset Open

Fire Dynamics in an Emerging Deforestation Frontier in Southwestern Amazonia, Brazil

Description

The dataset "Fire Dynamics in an Emerging Deforestation Frontier in Southwestern Amazonia, Brazil", published in Fire 2023, 6(1), 2; https://doi.org/10.3390/fire6010002.

Technical info (English)

Title: Fire Dynamics in an Emerging Deforestation Frontier in Southwestern Amazonia, Brazil.

Authors: Débora Joana Dutra, Liana Oighenstein Anderson, Philip Martin Fearnside , Paulo Maurício Lima de Alencastro Graça, Aurora Miho Yanai, Ricardo Dalagnol, Chantelle Burton, Christopher Jones, Richard Betts and Luiz Eduardo Oliveira e Cruz de Aragão

Contact: Débora Joana Dutra (ddutra.ambiental@gmail.com)

Purpose: Analyze the area burned by different types and its trend of occurrence between the years 2003-2019 for the region of Boca do Acre - Amazonas (Brazil)

Dataset usage: Feel free to make use of this dataset at no cost, and we would be grateful if you could cite both the repository and our paper when using it in your work. Moreover, we genuinely welcome the opportunity for collaboration. Please feel invited to reach out if you're interested in working together.

Notes (English)

For details on the utilization, please refer to the supplementary material available at: https://doi.org/10.3390/fire6010002

 

Other (English)

Instructions for utilizing the ".egomlx" extension templates:

  1. Visit the website https://csr.ufmg.br/dinamica/ and download version 7.7.0 of the Dinamica EGO software. Follow the installation guidelines provided by the developers.

  2. Launch the software and open the ".egomlx" files included in this document on your computer.

  3. Input information related to burned areas, heat sources, secondary forests, land use, and rural environmental registry specific to your study region.

Other (English)

To obtain the necessary data for the model, refer to the following platforms:

Burned Area:

Hot Spots:

Secondary Forest:

Land Use:

Rural Environmental Registry:

Files

Files (7.7 kB)

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md5:89f5b6433f8ae63cac88916877a468cf
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md5:56b2695feeba43becef42e6dadc06f10
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md5:f19590c900ff85e288b561b23fc6ec5f
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md5:6a48ed065ba1ee3fb82d08814cce00b0
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Additional details

Related works

Is published in
Publication: 10.3390/fire6010002 (DOI)

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo
Predição da probabilidade de queimadas e incêndios florestais: efeitos climáticos e antrópicos 21/04019-4
Fundação de Amparo à Pesquisa do Estado de São Paulo
Predição da degradação florestal como subsídio a ações para evitar as queimadas e os incêndios florestais 20/08916-8
Amazon Research Foundation
Predição da probabilidade de queimadas e incêndios florestais: efeitos climáticos e antrópicos 0102016301000289/2021-33