Follow the rain? Environmental drivers of Tyrannus migration across the New World
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1642/AUK-17-209.1 http://hdl.handle.net/11449/184918 |
Resumo: | Predictable seasonal changes in resources are thought to drive the timing of annual animal migrations; however, we currently understand little about which environmental cues or resources are tracked by different migratory bird species across the planet. Understanding which environmental cues or resources birds track in multiple migratory systems is a prerequisite to developing generalizable conservation plans for migratory birds in a changing global environment. Within the New World, climatic differences experienced by Nearctic-Neotropical migratory (NNM; i.e. breed in North America and spend the nonbreeding period in the Neotropics) and Neotropical austral migratory (NAM; i.e. breed and spend the nonbreeding period wholly within South America) bird species suggest that their migratory strategies may be shaped by unique selective pressures. We used data gathered from individuals fitted with light-level geolocators to build species distribution models (SDMs) to test which environmental factors drive the migratory strategies of species in each system. To do so, we evaluated whether temperature, precipitation, and primary productivity (NDVI) were related to the seasonal distributions of an NNM (Eastern Kingbird [Tyrannus tyrannus]) and NAM species (Fork-tailed Flycatcher [T. savana]). Both Eastern Kingbird and Fork-tailed Flycatcher locations were positively correlated with high precipitation during their nonbreeding seasons. Eastern Kingbird locations were positively correlated with both NDVI and temperature during their breeding season and both pre-and post-breeding migrations. Fork-tailed Flycatcher locations were positively correlated with both temperature and precipitation during both migrations, but only temperature during the breeding season. The value of extending the application of geolocator data, such as in SDMs, is underscored by the finding that precipitation was such an important predictor of the nonbreeding distributions of both types of migrants, as it remains unclear how global climate change will affect wet-dry cycles in the tropics. |
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Follow the rain? Environmental drivers of Tyrannus migration across the New Worldmigrationseasonalityspecies distribution modelgeolocatorclimateMaxentPredictable seasonal changes in resources are thought to drive the timing of annual animal migrations; however, we currently understand little about which environmental cues or resources are tracked by different migratory bird species across the planet. Understanding which environmental cues or resources birds track in multiple migratory systems is a prerequisite to developing generalizable conservation plans for migratory birds in a changing global environment. Within the New World, climatic differences experienced by Nearctic-Neotropical migratory (NNM; i.e. breed in North America and spend the nonbreeding period in the Neotropics) and Neotropical austral migratory (NAM; i.e. breed and spend the nonbreeding period wholly within South America) bird species suggest that their migratory strategies may be shaped by unique selective pressures. We used data gathered from individuals fitted with light-level geolocators to build species distribution models (SDMs) to test which environmental factors drive the migratory strategies of species in each system. To do so, we evaluated whether temperature, precipitation, and primary productivity (NDVI) were related to the seasonal distributions of an NNM (Eastern Kingbird [Tyrannus tyrannus]) and NAM species (Fork-tailed Flycatcher [T. savana]). Both Eastern Kingbird and Fork-tailed Flycatcher locations were positively correlated with high precipitation during their nonbreeding seasons. Eastern Kingbird locations were positively correlated with both NDVI and temperature during their breeding season and both pre-and post-breeding migrations. Fork-tailed Flycatcher locations were positively correlated with both temperature and precipitation during both migrations, but only temperature during the breeding season. The value of extending the application of geolocator data, such as in SDMs, is underscored by the finding that precipitation was such an important predictor of the nonbreeding distributions of both types of migrants, as it remains unclear how global climate change will affect wet-dry cycles in the tropics.National Geographic SocietyNational Science Foundation International Research FellowshipNational Science FoundationGatorade Fund-University of FloridaConsejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET)Cameron University's Dr. Bobby Gene Vowell Endowed Lectureship in the Physical and Biological SciencesFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Tulane Univ, Dept Ecol & Evolutionary Biol, New Orleans, LA 70118 USAUniv Estadual Paulista, Dept Zool, Rio Claro, SP, BrazilPortland State Univ, Dept Biol, Portland, OR 97207 USAConsejo Nacl Invest Cient & Tecn, CIEMEP, Chubut, ArgentinaUniv Nacl Patagonia San Juan Bosco, Chubut, ArgentinaUniv Buenos Aires, Fac Ciencias Exactas & Nat, Inst IEGEBA CONICET UBA, Dept Ecol Genet & Evoluc, Buenos Aires, DF, ArgentinaUniv Missouri, Sch Nat Resources, Columbia, MO 65211 USAUniv Estadual Paulista, Dept Zool, Rio Claro, SP, BrazilNational Geographic Society: 8444-08National Geographic Society: 8953-11National Science Foundation International Research Fellowship: IRFP-0965213National Science Foundation: IOB-0639370FAPESP: 2012/17225-2Oxford Univ Press IncTulane UnivUniversidade Estadual Paulista (Unesp)Portland State UnivConsejo Nacl Invest Cient & TecnUniv Nacl Patagonia San Juan BoscoUniv Buenos AiresUniv MissouriMacPherson, Maggie P.Jahn, Alex E. [UNESP]Murphy, Michael T.Kim, Daniel H.Cueto, Victor R.Tuero, Diego T.Hill, Elliot D.2019-10-04T12:31:05Z2019-10-04T12:31:05Z2018-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article881-894http://dx.doi.org/10.1642/AUK-17-209.1Auk. Cary: Oxford Univ Press Inc, v. 135, n. 4, p. 881-894, 2018.0004-8038http://hdl.handle.net/11449/18491810.1642/AUK-17-209.1WOS:000446824400005Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAukinfo:eu-repo/semantics/openAccess2021-10-23T19:49:56Zoai:repositorio.unesp.br:11449/184918Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:02:14.827121Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
title |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
spellingShingle |
Follow the rain? Environmental drivers of Tyrannus migration across the New World MacPherson, Maggie P. migration seasonality species distribution model geolocator climate Maxent |
title_short |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
title_full |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
title_fullStr |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
title_full_unstemmed |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
title_sort |
Follow the rain? Environmental drivers of Tyrannus migration across the New World |
author |
MacPherson, Maggie P. |
author_facet |
MacPherson, Maggie P. Jahn, Alex E. [UNESP] Murphy, Michael T. Kim, Daniel H. Cueto, Victor R. Tuero, Diego T. Hill, Elliot D. |
author_role |
author |
author2 |
Jahn, Alex E. [UNESP] Murphy, Michael T. Kim, Daniel H. Cueto, Victor R. Tuero, Diego T. Hill, Elliot D. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Tulane Univ Universidade Estadual Paulista (Unesp) Portland State Univ Consejo Nacl Invest Cient & Tecn Univ Nacl Patagonia San Juan Bosco Univ Buenos Aires Univ Missouri |
dc.contributor.author.fl_str_mv |
MacPherson, Maggie P. Jahn, Alex E. [UNESP] Murphy, Michael T. Kim, Daniel H. Cueto, Victor R. Tuero, Diego T. Hill, Elliot D. |
dc.subject.por.fl_str_mv |
migration seasonality species distribution model geolocator climate Maxent |
topic |
migration seasonality species distribution model geolocator climate Maxent |
description |
Predictable seasonal changes in resources are thought to drive the timing of annual animal migrations; however, we currently understand little about which environmental cues or resources are tracked by different migratory bird species across the planet. Understanding which environmental cues or resources birds track in multiple migratory systems is a prerequisite to developing generalizable conservation plans for migratory birds in a changing global environment. Within the New World, climatic differences experienced by Nearctic-Neotropical migratory (NNM; i.e. breed in North America and spend the nonbreeding period in the Neotropics) and Neotropical austral migratory (NAM; i.e. breed and spend the nonbreeding period wholly within South America) bird species suggest that their migratory strategies may be shaped by unique selective pressures. We used data gathered from individuals fitted with light-level geolocators to build species distribution models (SDMs) to test which environmental factors drive the migratory strategies of species in each system. To do so, we evaluated whether temperature, precipitation, and primary productivity (NDVI) were related to the seasonal distributions of an NNM (Eastern Kingbird [Tyrannus tyrannus]) and NAM species (Fork-tailed Flycatcher [T. savana]). Both Eastern Kingbird and Fork-tailed Flycatcher locations were positively correlated with high precipitation during their nonbreeding seasons. Eastern Kingbird locations were positively correlated with both NDVI and temperature during their breeding season and both pre-and post-breeding migrations. Fork-tailed Flycatcher locations were positively correlated with both temperature and precipitation during both migrations, but only temperature during the breeding season. The value of extending the application of geolocator data, such as in SDMs, is underscored by the finding that precipitation was such an important predictor of the nonbreeding distributions of both types of migrants, as it remains unclear how global climate change will affect wet-dry cycles in the tropics. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-01 2019-10-04T12:31:05Z 2019-10-04T12:31:05Z |
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/10.1642/AUK-17-209.1 Auk. Cary: Oxford Univ Press Inc, v. 135, n. 4, p. 881-894, 2018. 0004-8038 http://hdl.handle.net/11449/184918 10.1642/AUK-17-209.1 WOS:000446824400005 |
url |
http://dx.doi.org/10.1642/AUK-17-209.1 http://hdl.handle.net/11449/184918 |
identifier_str_mv |
Auk. Cary: Oxford Univ Press Inc, v. 135, n. 4, p. 881-894, 2018. 0004-8038 10.1642/AUK-17-209.1 WOS:000446824400005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Auk |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
881-894 |
dc.publisher.none.fl_str_mv |
Oxford Univ Press Inc |
publisher.none.fl_str_mv |
Oxford Univ Press Inc |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
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1808129574901383168 |