Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00436-020-06924-9 http://hdl.handle.net/11449/206692 |
Resumo: | The number of reports of tick parasitism in amphibians and reptiles has increased over the past few years, including new host and location records for Amblyomma rotundatum and Amblyomma dissimile. However, knowledge of the geographical distribution remains incomplete, and in many regions of Brazil, the presence of these vectors has not been investigated. Several candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity based on current climatic trends and future projected climate changes. Final models showed a good ability to discriminate A. rotundatum and A. dissimile current and future potential distributions. The entire country had higher predicted suitability for A. rotundatum while A. dissimile was mainly restricted to the Amazon and Pantanal biomes. A. rotundatum is a species with enormous potential for dissemination in the next decades, potentially through the legal and illegal transport of reptiles and amphibians. The proposed model is useful for targeting surveillance efforts increasing the efficiency and accuracy of future ecological research and tick management efforts. |
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Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitabilityAmphibiansClimate changeReptilesSpecies distribution modelingTicksThe number of reports of tick parasitism in amphibians and reptiles has increased over the past few years, including new host and location records for Amblyomma rotundatum and Amblyomma dissimile. However, knowledge of the geographical distribution remains incomplete, and in many regions of Brazil, the presence of these vectors has not been investigated. Several candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity based on current climatic trends and future projected climate changes. Final models showed a good ability to discriminate A. rotundatum and A. dissimile current and future potential distributions. The entire country had higher predicted suitability for A. rotundatum while A. dissimile was mainly restricted to the Amazon and Pantanal biomes. A. rotundatum is a species with enormous potential for dissemination in the next decades, potentially through the legal and illegal transport of reptiles and amphibians. The proposed model is useful for targeting surveillance efforts increasing the efficiency and accuracy of future ecological research and tick management efforts.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Preventive Veterinary Medicine and Animal Heath University of São PauloGrupo de Investigación en Epidemiología y Salud Pública Universidad de La SallePrograma de Pós Graduação em Biotecnologia do Renorbio Ponto Focal Maranhão Universidade Federal do MaranhãoDepartment of Biodiversity Spatial Ecology and Conservation Lab (LEEC) Institute of Biosciences Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) Campus Rio ClaroDepartment of Fish Wildlife and Conservation Biology Colorado State UniversityDepartment of Ecology Institute of Biology Federal University of Rio de JaneiroDepartment of Animal Biology Federal Rural University of Rio de JaneiroSpecial Laboratory of Zoological Collections Butantan InstituteMaster’s Program in Veterinary Medicine and Animal Welfare Santo Amaro UniversityDepartment of Animal Parasitology Federal University of Rio de JaneiroDepartment of Biodiversity Spatial Ecology and Conservation Lab (LEEC) Institute of Biosciences Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) Campus Rio ClaroUniversidade de São Paulo (USP)Universidad de La SalleUniversidade Federal do MaranhãoUniversidade Estadual Paulista (Unesp)Colorado State UniversityFederal University of Rio de JaneiroFederal Rural University of Rio de JaneiroButantan InstituteSanto Amaro UniversityPolo, GinaLuz, Hermes R.Regolin, André Luis [UNESP]Martins, Thiago F.Winck, Gisele R.da Silva, Hélio R.Onofrio, Valeria C.Labruna, Marcelo B.Faccini, João L. H.2021-06-25T10:36:35Z2021-06-25T10:36:35Z2021-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article797-806http://dx.doi.org/10.1007/s00436-020-06924-9Parasitology Research, v. 120, n. 3, p. 797-806, 2021.1432-19550932-0113http://hdl.handle.net/11449/20669210.1007/s00436-020-06924-92-s2.0-85092733867Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengParasitology Researchinfo:eu-repo/semantics/openAccess2021-10-23T10:18:18Zoai:repositorio.unesp.br:11449/206692Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:36:57.677713Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
title |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
spellingShingle |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability Polo, Gina Amphibians Climate change Reptiles Species distribution modeling Ticks |
title_short |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
title_full |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
title_fullStr |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
title_full_unstemmed |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
title_sort |
Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability |
author |
Polo, Gina |
author_facet |
Polo, Gina Luz, Hermes R. Regolin, André Luis [UNESP] Martins, Thiago F. Winck, Gisele R. da Silva, Hélio R. Onofrio, Valeria C. Labruna, Marcelo B. Faccini, João L. H. |
author_role |
author |
author2 |
Luz, Hermes R. Regolin, André Luis [UNESP] Martins, Thiago F. Winck, Gisele R. da Silva, Hélio R. Onofrio, Valeria C. Labruna, Marcelo B. Faccini, João L. H. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidad de La Salle Universidade Federal do Maranhão Universidade Estadual Paulista (Unesp) Colorado State University Federal University of Rio de Janeiro Federal Rural University of Rio de Janeiro Butantan Institute Santo Amaro University |
dc.contributor.author.fl_str_mv |
Polo, Gina Luz, Hermes R. Regolin, André Luis [UNESP] Martins, Thiago F. Winck, Gisele R. da Silva, Hélio R. Onofrio, Valeria C. Labruna, Marcelo B. Faccini, João L. H. |
dc.subject.por.fl_str_mv |
Amphibians Climate change Reptiles Species distribution modeling Ticks |
topic |
Amphibians Climate change Reptiles Species distribution modeling Ticks |
description |
The number of reports of tick parasitism in amphibians and reptiles has increased over the past few years, including new host and location records for Amblyomma rotundatum and Amblyomma dissimile. However, knowledge of the geographical distribution remains incomplete, and in many regions of Brazil, the presence of these vectors has not been investigated. Several candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity based on current climatic trends and future projected climate changes. Final models showed a good ability to discriminate A. rotundatum and A. dissimile current and future potential distributions. The entire country had higher predicted suitability for A. rotundatum while A. dissimile was mainly restricted to the Amazon and Pantanal biomes. A. rotundatum is a species with enormous potential for dissemination in the next decades, potentially through the legal and illegal transport of reptiles and amphibians. The proposed model is useful for targeting surveillance efforts increasing the efficiency and accuracy of future ecological research and tick management efforts. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:36:35Z 2021-06-25T10:36:35Z 2021-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s00436-020-06924-9 Parasitology Research, v. 120, n. 3, p. 797-806, 2021. 1432-1955 0932-0113 http://hdl.handle.net/11449/206692 10.1007/s00436-020-06924-9 2-s2.0-85092733867 |
url |
http://dx.doi.org/10.1007/s00436-020-06924-9 http://hdl.handle.net/11449/206692 |
identifier_str_mv |
Parasitology Research, v. 120, n. 3, p. 797-806, 2021. 1432-1955 0932-0113 10.1007/s00436-020-06924-9 2-s2.0-85092733867 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Parasitology Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
797-806 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128254488346624 |