Follow the rain? Environmental drivers of Tyrannus migration across the New World

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 reso...

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Publicado:	2018
Materias:	Climate Geolocator Maxent Migration Seasonality Species distribution model bird climate change environmental cue environmental factor maximum entropy analysis migration migratory species seasonal variation seasonality North America South America Animalia Aves Tyrannus Tyrannus savana Tyrannus tyrannus
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00048038_v135_n4_p881_MacPherson http://hdl.handle.net/20.500.12110/paper_00048038_v135_n4_p881_MacPherson
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_00048038_v135_n4_p881_MacPherson
record_format	dspace
spelling	paper:paper_00048038_v135_n4_p881_MacPherson2023-06-08T14:29:42Z Follow the rain? Environmental drivers of Tyrannus migration across the New World Climate Geolocator Maxent Migration Seasonality Species distribution model bird climate change environmental cue environmental factor maximum entropy analysis migration migratory species seasonal variation seasonality North America South America Animalia Aves Tyrannus Tyrannus savana Tyrannus tyrannus 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. © 2018 American Ornithological Society. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00048038_v135_n4_p881_MacPherson http://hdl.handle.net/20.500.12110/paper_00048038_v135_n4_p881_MacPherson
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Climate Geolocator Maxent Migration Seasonality Species distribution model bird climate change environmental cue environmental factor maximum entropy analysis migration migratory species seasonal variation seasonality North America South America Animalia Aves Tyrannus Tyrannus savana Tyrannus tyrannus
spellingShingle	Climate Geolocator Maxent Migration Seasonality Species distribution model bird climate change environmental cue environmental factor maximum entropy analysis migration migratory species seasonal variation seasonality North America South America Animalia Aves Tyrannus Tyrannus savana Tyrannus tyrannus Follow the rain? Environmental drivers of Tyrannus migration across the New World
topic_facet	Climate Geolocator Maxent Migration Seasonality Species distribution model bird climate change environmental cue environmental factor maximum entropy analysis migration migratory species seasonal variation seasonality North America South America Animalia Aves Tyrannus Tyrannus savana Tyrannus tyrannus
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. © 2018 American Ornithological Society.
title	Follow the rain? Environmental drivers of Tyrannus migration across the New World
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
publishDate	2018
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00048038_v135_n4_p881_MacPherson http://hdl.handle.net/20.500.12110/paper_00048038_v135_n4_p881_MacPherson
_version_	1768544391539982336

Follow the rain? Environmental drivers of Tyrannus migration across the New World

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