Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia
ABSTRACT: Rapid transformation of natural ecosystems changes ecological conditions for important human disease vector species; therefore, an essential task is to identify and understand the variables that shape distributions of these species to optimize efforts toward control and mitigation. Ecologi...
- Autores:
-
Altamiranda Saavedra, Mariano Augusto
Arboleda Sánchez, Sair Orieta
Parra Vergara, Juan Luis
Townsend Peterson, Andrew
Correa Ochoa, Margarita María
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/22050
- Acceso en línea:
- http://hdl.handle.net/10495/22050
- Palabra clave:
- Insectos Vectores
Insect Vectors
Ecosistemas
Ecosystem
Epidemiología
Epidemiology
Malaria - Prevención y control
Malaria - prevention and control
Malaria - Colombia
Anopheles nuneztovari
Anopheles albimanus
Anopheles darlingi
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
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| dc.title.spa.fl_str_mv |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| title |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| spellingShingle |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia Insectos Vectores Insect Vectors Ecosistemas Ecosystem Epidemiología Epidemiology Malaria - Prevención y control Malaria - prevention and control Malaria - Colombia Anopheles nuneztovari Anopheles albimanus Anopheles darlingi |
| title_short |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| title_full |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| title_fullStr |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| title_full_unstemmed |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| title_sort |
Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia |
| dc.creator.fl_str_mv |
Altamiranda Saavedra, Mariano Augusto Arboleda Sánchez, Sair Orieta Parra Vergara, Juan Luis Townsend Peterson, Andrew Correa Ochoa, Margarita María |
| dc.contributor.author.none.fl_str_mv |
Altamiranda Saavedra, Mariano Augusto Arboleda Sánchez, Sair Orieta Parra Vergara, Juan Luis Townsend Peterson, Andrew Correa Ochoa, Margarita María |
| dc.contributor.researchgroup.spa.fl_str_mv |
Microbiología Molecular Biología y Control de Enfermedades Infecciosas Ecología y Evolución de Vertebrados |
| dc.subject.decs.none.fl_str_mv |
Insectos Vectores Insect Vectors Ecosistemas Ecosystem Epidemiología Epidemiology Malaria - Prevención y control Malaria - prevention and control |
| topic |
Insectos Vectores Insect Vectors Ecosistemas Ecosystem Epidemiología Epidemiology Malaria - Prevención y control Malaria - prevention and control Malaria - Colombia Anopheles nuneztovari Anopheles albimanus Anopheles darlingi |
| dc.subject.lemb.none.fl_str_mv |
Malaria - Colombia |
| dc.subject.proposal.spa.fl_str_mv |
Anopheles nuneztovari Anopheles albimanus Anopheles darlingi |
| description |
ABSTRACT: Rapid transformation of natural ecosystems changes ecological conditions for important human disease vector species; therefore, an essential task is to identify and understand the variables that shape distributions of these species to optimize efforts toward control and mitigation. Ecological niche modeling was used to estimate the potential distribution and to assess hypotheses of niche similarity among the three main malaria vector species in northern Colombia: Anopheles nuneztovari, An. albimanus, and An. darlingi. Georeferenced point collection data and remotely sensed, fine-resolution satellite imagery were integrated across the Uraba ́ –Bajo Cauca–Alto Sinu ́ malaria endemic area using a maximum entropy algorithm. Results showed that An. nuneztovari has the widest geographic distribution, occupying almost the entire study region; this niche breadth is probably related to the ability of this species to colonize both, natural and disturbed environments. The model for An. darlingi showed that most suitable localities for this species in Bajo Cauca were along the Cauca and Nechı ́ river. The riparian ecosystems in this region and the potential for rapid adaptation by this species to novel environments, may favor the establishment of populations of this species. Apparently, the three main Colombian Anopheles vector species in this endemic area do not occupy environments either with high seasonality, or with low seasonality and high NDVI values. Estimated overlap in geographic space between An. nuneztovari and An. albimanus indicated broad spatial and environmental similarity between these species. An. nuneztovari has a broader niche and potential distribution. Dispersal ability of these species and their ability to occupy diverse environmental situations may facilitate sympatry across many environmental and geographic contexts. These model results may be useful for the design and implementation of malaria species-specific vector control interventions optimized for this important malaria region. |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017 |
| dc.date.accessioned.none.fl_str_mv |
2021-09-01T22:42:16Z |
| dc.date.available.none.fl_str_mv |
2021-09-01T22:42:16Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://hdl.handle.net/10495/22050 |
| dc.identifier.doi.none.fl_str_mv |
10.1371/journal.pone.0179093 |
| dc.identifier.eissn.none.fl_str_mv |
1932-6203 |
| url |
http://hdl.handle.net/10495/22050 |
| identifier_str_mv |
10.1371/journal.pone.0179093 1932-6203 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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PLoS ONE. |
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14 |
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12 |
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PLoS ONE |
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https://creativecommons.org/licenses/by/4.0/ |
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http://creativecommons.org/licenses/by/2.5/co/ |
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application/pdf |
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Public Library of Science |
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San Francisco, Estados Unidos |
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Universidad de Antioquia |
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Altamiranda Saavedra, Mariano AugustoArboleda Sánchez, Sair OrietaParra Vergara, Juan LuisTownsend Peterson, AndrewCorrea Ochoa, Margarita MaríaMicrobiología MolecularBiología y Control de Enfermedades InfecciosasEcología y Evolución de Vertebrados2021-09-01T22:42:16Z2021-09-01T22:42:16Z2017http://hdl.handle.net/10495/2205010.1371/journal.pone.01790931932-6203ABSTRACT: Rapid transformation of natural ecosystems changes ecological conditions for important human disease vector species; therefore, an essential task is to identify and understand the variables that shape distributions of these species to optimize efforts toward control and mitigation. Ecological niche modeling was used to estimate the potential distribution and to assess hypotheses of niche similarity among the three main malaria vector species in northern Colombia: Anopheles nuneztovari, An. albimanus, and An. darlingi. Georeferenced point collection data and remotely sensed, fine-resolution satellite imagery were integrated across the Uraba ́ –Bajo Cauca–Alto Sinu ́ malaria endemic area using a maximum entropy algorithm. Results showed that An. nuneztovari has the widest geographic distribution, occupying almost the entire study region; this niche breadth is probably related to the ability of this species to colonize both, natural and disturbed environments. The model for An. darlingi showed that most suitable localities for this species in Bajo Cauca were along the Cauca and Nechı ́ river. The riparian ecosystems in this region and the potential for rapid adaptation by this species to novel environments, may favor the establishment of populations of this species. Apparently, the three main Colombian Anopheles vector species in this endemic area do not occupy environments either with high seasonality, or with low seasonality and high NDVI values. Estimated overlap in geographic space between An. nuneztovari and An. albimanus indicated broad spatial and environmental similarity between these species. An. nuneztovari has a broader niche and potential distribution. Dispersal ability of these species and their ability to occupy diverse environmental situations may facilitate sympatry across many environmental and geographic contexts. These model results may be useful for the design and implementation of malaria species-specific vector control interventions optimized for this important malaria region.COL0013746COL0007865COL014726714application/pdfengPublic Library of ScienceSan Francisco, Estados Unidoshttps://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Potential distribution of mosquito vector species in a primary malaria endemic region of ColombiaArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionInsectos VectoresInsect VectorsEcosistemasEcosystemEpidemiologíaEpidemiologyMalaria - Prevención y controlMalaria - prevention and controlMalaria - ColombiaAnopheles nuneztovariAnopheles albimanusAnopheles darlingiPLoS ONE.146112PLoS ONEPublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstreams/f01f0b82-3bcf-4e0e-a70a-56dc5944f40b/download1646d1f6b96dbbbc38035efc9239ac9cMD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/887308ed-baad-46e0-adc2-ae8fc10cff2e/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADORIGINALAltamirandaMariano_2017_DistributionMosquitoMalaria.pdfAltamirandaMariano_2017_DistributionMosquitoMalaria.pdfArtículo de investigaciónapplication/pdf11674336https://bibliotecadigital.udea.edu.co/bitstreams/496b41a5-7e72-4e78-a6a2-330c9cef89ce/download18377006063b2380fc7fd89eb6230bc4MD51trueAnonymousREADTEXTAltamirandaMariano_2017_DistributionMosquitoMalaria.pdf.txtAltamirandaMariano_2017_DistributionMosquitoMalaria.pdf.txtExtracted texttext/plain56812https://bibliotecadigital.udea.edu.co/bitstreams/f4eed52a-dba1-4237-888b-bd29161eeb20/downloadf72b6afa567c9fe59367a25bcac21db1MD54falseAnonymousREADTHUMBNAILAltamirandaMariano_2017_DistributionMosquitoMalaria.pdf.jpgAltamirandaMariano_2017_DistributionMosquitoMalaria.pdf.jpgGenerated Thumbnailimage/jpeg15638https://bibliotecadigital.udea.edu.co/bitstreams/9263382b-31d9-46d6-bcc0-9c4f64b0d23e/downloadd59524c321a73137b7081dd13c52dea6MD55falseAnonymousREAD10495/22050oai:bibliotecadigital.udea.edu.co:10495/220502025-03-27 00:59:24.072https://creativecommons.org/licenses/by/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
