Published December 31, 2022
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Figure 3 in How can global climate change influence the geographic distribution of the eucalyptus yellow beetle? Modeling and prediction for Brazil
Authors/Creators
- 1. Universidade Federal do Mato Grosso, Instituto de Ciências Naturais, Humanas e Sociais, Programa de Pós-graduação em Ciências Ambientais, Sinop, MT, Brasil
- 2. Universidade Federal do Paraná, Departamento de Zoologia, Programa de Pós-graduação em Ciências Biológicas (Entomologia), Curitiba, PR, Brasil
- 3. Universidade Federal do Mato Grosso, Instituto de Ciências Naturais, Humanas e Sociais, Programa de Pós-graduação em Biodiversidade e Biotecnologia, Rede PRO Centro Oeste, Sinop, MT, Brasil
Description
Figure 3. Predicting of potential areas to the occurrence of Costalimaita ferruginea in the period of 2061-2080, in two climate change scenarios, Representative Concentration Pathways (RCP) 4.5 e 8.5 (W/m2), using the algorithm Envelope Score (AUC = 0.808). The numbers 1 to 5 represent the Brazilian biomes, being 1 = Amazônia, 2 = Caatinga, 3 = Cerrado, 4 = Pantanal, 5 = Mata Atlântica e 6 = Pampa.
Notes
Published as part of Vasconcelos, D. C., Künast, T. B. S., Pires, E. M. & Corassa, J. N., 2022, How can global climate change influence the geographic distribution of the eucalyptus yellow beetle? Modeling and prediction for Brazil, pp. 1-7 in Brazilian Journal of Biology (e265046) 82 on page 5, DOI: 10.1590/1519-6984.265046, http://zenodo.org/record/12728247
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- Journal article: 10.1590/1519-6984.265046 (DOI)
- Journal article: urn:lsid:plazi.org:pub:3D27A325FF8B121E924D32314E70244F (LSID)
- Journal article: https://zenodo.org/record/12728247 (URL)