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The use of species distribution models to predict the spatial distribution of deforestation in the western Brazilian Amazon

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  • de Souza, Rodrigo Antônio
  • De Marco, Paulo

Abstract

The prevention of deforestation in rainforests requires the identification of where facilitating and mitigating factors will combine and increase the likelihood of deforestation. This approach, which relates a geographic space with an environmental space of factors to predict where new deforestation will occur, is very similar to the approaches used to predict species distributions. Thus, we believe that deforestation can be treated as a “species” and that its future occurrence can be determined using species distribution models.

Suggested Citation

  • de Souza, Rodrigo Antônio & De Marco, Paulo, 2014. "The use of species distribution models to predict the spatial distribution of deforestation in the western Brazilian Amazon," Ecological Modelling, Elsevier, vol. 291(C), pages 250-259.
    • Handle: RePEc:eee:ecomod:v:291:y:2014:i:c:p:250-259
    DOI: 10.1016/j.ecolmodel.2014.07.007
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    References listed on IDEAS

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    1. Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.
    2. Börner, Jan & Wunder, Sven & Wertz-Kanounnikoff, Sheila & Tito, Marcos Rügnitz & Pereira, Ligia & Nascimento, Nathalia, 2010. "Direct conservation payments in the Brazilian Amazon: Scope and equity implications," Ecological Economics, Elsevier, vol. 69(6), pages 1272-1282, April.
    3. Philip M. Fearnside & Salvador Pueyo, 2012. "Greenhouse-gas emissions from tropical dams," Nature Climate Change, Nature, vol. 2(6), pages 382-384, June.
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    Cited by:

    1. Zhang, Yajuan & Zhang, Lijin & Wang, Huan & Wang, Yueyao & Ding, Jiaqi & Shen, Jiashu & Wang, Zheng & Liu, Yinglu & Liang, Chenyu & Li, Shuangcheng, 2022. "Reconstructing deforestation patterns in China from 2000 to 2019," Ecological Modelling, Elsevier, vol. 465(C).
    2. Richardson, Robert B. & Olabisi, Laura Schmitt & Waldman, Kurt B. & Sakana, Naomi & Brugnone, Nathan G., 2021. "Modeling interventions to reduce deforestation in Zambia," Agricultural Systems, Elsevier, vol. 194(C).
    3. de Souza, Rodrigo Antônio & De Marco, Paulo, 2018. "Improved spatial model for Amazonian deforestation: An empirical assessment and spatial bias analysis," Ecological Modelling, Elsevier, vol. 387(C), pages 1-9.
    4. Santiago José Elías Velazco & Franklin Galvão & Fabricio Villalobos & Paulo De Marco Júnior, 2017. "Using worldwide edaphic data to model plant species niches: An assessment at a continental extent," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-24, October.

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