Modeling Complex Seasonal Avian Migration: Predictions From the Thermal Environment and Resource Availability

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Modeling Complex Seasonal Avian Migration : Predictions From the Thermal Environment and Resource Availability. / Snell, Katherine R. S.; Thorup, Kasper.

In: Frontiers in Ecology and Evolution, Vol. 10, 824641, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Snell, KRS & Thorup, K 2022, 'Modeling Complex Seasonal Avian Migration: Predictions From the Thermal Environment and Resource Availability', Frontiers in Ecology and Evolution, vol. 10, 824641. https://doi.org/10.3389/fevo.2022.824641

APA

Snell, K. R. S., & Thorup, K. (2022). Modeling Complex Seasonal Avian Migration: Predictions From the Thermal Environment and Resource Availability. Frontiers in Ecology and Evolution, 10, [824641]. https://doi.org/10.3389/fevo.2022.824641

Vancouver

Snell KRS, Thorup K. Modeling Complex Seasonal Avian Migration: Predictions From the Thermal Environment and Resource Availability. Frontiers in Ecology and Evolution. 2022;10. 824641. https://doi.org/10.3389/fevo.2022.824641

Author

Snell, Katherine R. S. ; Thorup, Kasper. / Modeling Complex Seasonal Avian Migration : Predictions From the Thermal Environment and Resource Availability. In: Frontiers in Ecology and Evolution. 2022 ; Vol. 10.

Bibtex

@article{8eae7ffb244842cca10d0e62bdf46bee,
title = "Modeling Complex Seasonal Avian Migration: Predictions From the Thermal Environment and Resource Availability",
abstract = "Billions of birds undertake long-distance migration and the complexity of schedules has only recently become clear. Such movements occur as a response to seasonality but the ultimate drivers of these changing distributions remain difficult to study directly. Modeling seasonal distributions based fundamentally on climate and vegetation without parameterizing with empirical data, we focus on the potential role of ambient temperature and available resources in shaping the migratory program. We simulate the complete annual cycle over the Afro-Palearctic region in a round-trip migration model allowing full variation in the extent and timing of movement, and multiple stopovers. The resultant simulated tracks and associated environmental metrics are interrogated: we evaluate the thermal and resource consequences of staying in Europe versus crossing the Sahara, and secondly identify the movement patterns optimizing exposure to green vegetation and local surpluses. There is a distinct thermal gain from crossing the Sahara and the pattern emerging of optimal seasonal vegetation resembles contemporary migration routes regarding Sahara crossing, loop structure and itinerancy. Thus, our first-principle simulations suggest that variations in migration patterns among species are caused by a complex trade-off between risks and rewards of staying versus moving, including innate physiological constraints and the resultant gain of the high-risk Sahara crossing.",
keywords = "simulations, Afro-Palearctic, NDVI, movement ecology, ambient temperature, PHOENICURUS-PHOENICURUS, ANNUAL CYCLE, BIRDS, SONGBIRD, CONNECTIVITY, SURVIVORSHIP, DESTINATIONS, GEOLOCATORS, STRATEGIES, PASSERINE",
author = "Snell, {Katherine R. S.} and Kasper Thorup",
year = "2022",
doi = "10.3389/fevo.2022.824641",
language = "English",
volume = "10",
journal = "Frontiers in Ecology and Evolution",
issn = "2296-701X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Modeling Complex Seasonal Avian Migration

T2 - Predictions From the Thermal Environment and Resource Availability

AU - Snell, Katherine R. S.

AU - Thorup, Kasper

PY - 2022

Y1 - 2022

N2 - Billions of birds undertake long-distance migration and the complexity of schedules has only recently become clear. Such movements occur as a response to seasonality but the ultimate drivers of these changing distributions remain difficult to study directly. Modeling seasonal distributions based fundamentally on climate and vegetation without parameterizing with empirical data, we focus on the potential role of ambient temperature and available resources in shaping the migratory program. We simulate the complete annual cycle over the Afro-Palearctic region in a round-trip migration model allowing full variation in the extent and timing of movement, and multiple stopovers. The resultant simulated tracks and associated environmental metrics are interrogated: we evaluate the thermal and resource consequences of staying in Europe versus crossing the Sahara, and secondly identify the movement patterns optimizing exposure to green vegetation and local surpluses. There is a distinct thermal gain from crossing the Sahara and the pattern emerging of optimal seasonal vegetation resembles contemporary migration routes regarding Sahara crossing, loop structure and itinerancy. Thus, our first-principle simulations suggest that variations in migration patterns among species are caused by a complex trade-off between risks and rewards of staying versus moving, including innate physiological constraints and the resultant gain of the high-risk Sahara crossing.

AB - Billions of birds undertake long-distance migration and the complexity of schedules has only recently become clear. Such movements occur as a response to seasonality but the ultimate drivers of these changing distributions remain difficult to study directly. Modeling seasonal distributions based fundamentally on climate and vegetation without parameterizing with empirical data, we focus on the potential role of ambient temperature and available resources in shaping the migratory program. We simulate the complete annual cycle over the Afro-Palearctic region in a round-trip migration model allowing full variation in the extent and timing of movement, and multiple stopovers. The resultant simulated tracks and associated environmental metrics are interrogated: we evaluate the thermal and resource consequences of staying in Europe versus crossing the Sahara, and secondly identify the movement patterns optimizing exposure to green vegetation and local surpluses. There is a distinct thermal gain from crossing the Sahara and the pattern emerging of optimal seasonal vegetation resembles contemporary migration routes regarding Sahara crossing, loop structure and itinerancy. Thus, our first-principle simulations suggest that variations in migration patterns among species are caused by a complex trade-off between risks and rewards of staying versus moving, including innate physiological constraints and the resultant gain of the high-risk Sahara crossing.

KW - simulations

KW - Afro-Palearctic

KW - NDVI

KW - movement ecology

KW - ambient temperature

KW - PHOENICURUS-PHOENICURUS

KW - ANNUAL CYCLE

KW - BIRDS

KW - SONGBIRD

KW - CONNECTIVITY

KW - SURVIVORSHIP

KW - DESTINATIONS

KW - GEOLOCATORS

KW - STRATEGIES

KW - PASSERINE

U2 - 10.3389/fevo.2022.824641

DO - 10.3389/fevo.2022.824641

M3 - Journal article

VL - 10

JO - Frontiers in Ecology and Evolution

JF - Frontiers in Ecology and Evolution

SN - 2296-701X

M1 - 824641

ER -

ID: 312367314