Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]

Kölzsch A, Bauer S, de Boer R, Griffin L, Cabot D, Exo K-M, van der Jeugd HP, Nolet BA (2014) Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore. Journal of Animal Ecology. doi:10.1111/1365-2656.12281 : 1. Herbivor...

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Bibliographic Details
Main Author: Cabot, David
Format: Dataset
Language:English
Published: Movebank Data Repository 2014
Subjects:
Online Access:https://dx.doi.org/10.5441/001/1.5d3f0664
https://www.datarepository.movebank.org/handle/10255/move.380
id ftdatacite:10.5441/001/1.5d3f0664
record_format openpolar
spelling ftdatacite:10.5441/001/1.5d3f0664 2023-05-15T15:06:52+02:00 Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data] Cabot, David 2014 csv https://dx.doi.org/10.5441/001/1.5d3f0664 https://www.datarepository.movebank.org/handle/10255/move.380 en eng Movebank Data Repository https://dx.doi.org/10.5441/001/1.5d3f0664/1 https://dx.doi.org/10.5441/001/1.5d3f0664/2 https://dx.doi.org/10.1111/1365-2656.12281 https://dx.doi.org/10.1371/journal.pone.0108331 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 animal migration animal tracking Argos barnacle goose Branta leucopsis capital breeding climatic barrier green wave hypothesis migration flyway onset of spring dataset Dataset DataPackage 2014 ftdatacite https://doi.org/10.5441/001/1.5d3f0664 https://doi.org/10.5441/001/1.5d3f0664/1 https://doi.org/10.5441/001/1.5d3f0664/2 https://doi.org/10.1111/1365-2656.12281 https://doi.org/10.1371/journal.pone.0108331 2021-11-05T12:55:41Z Kölzsch A, Bauer S, de Boer R, Griffin L, Cabot D, Exo K-M, van der Jeugd HP, Nolet BA (2014) Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore. Journal of Animal Ecology. doi:10.1111/1365-2656.12281 : 1. Herbivorous birds are hypothesized to migrate in spring along a seasonal gradient of plant profitability towards their breeding grounds (green wave hypothesis). For Arctic-breeding species in particular, following highly profitable food is important, so that they can replenish resources along the way and arrive in optimal body condition to start breeding early. 2. We compared the timing of migratory movements of Arctic-breeding geese on different flyways to examine whether flyways differed in the predictability of spring conditions at stopovers, and whether this was reflected in the degree to which birds were following the green wave. 3. Barnacle geese (Branta leucopsis) were tracked with solar Argos/GPS PTTs from their wintering grounds to breeding sites in Greenland (N = 7), Svalbard (N = 21) and the Barents Sea (N = 12). The numerous stopover sites of all birds were combined into a set of 16 general stopover regions. 4. The predictability of climatic conditions along the flyways was calculated as the correlation and slope between onsets of spring at consecutive stopovers. These values differed between sites, mainly because of the presence or absence of ecological barriers. Goose arrival at stopovers was more closely tied to the local onset of spring when predictability was higher and when geese attempted breeding that year. 5. All birds arrived at early stopovers after the onset of spring and arrived at the breeding grounds before the onset of spring, thus overtaking the green wave. This is in accordance with patterns expected for capital breeders: first they must come into condition; at intermediate stopovers arrival with the food quality peak is important to stay in condition and at the breeding grounds early arrival is favoured so that hatching of young can coincide with the peak of food quality. 6. Our results suggest that a chain of correlations between climatic conditions at subsequent stopovers enables geese to closely track the green wave. However, the birds’ precision of migratory timing seems uninfluenced by ecological barriers, indicating partly fixed migration schedules. These might become non-optimal due to climate warming and preclude accurate timing of long-distance migrants in the future. Dataset Arctic Barents Sea Barnacle goose Branta leucopsis Greenland Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Cabot ENVELOPE(-54.600,-54.600,-63.383,-63.383) Greenland Svalbard
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic animal migration
animal tracking
Argos
barnacle goose
Branta leucopsis
capital breeding
climatic barrier
green wave hypothesis
migration flyway
onset of spring
spellingShingle animal migration
animal tracking
Argos
barnacle goose
Branta leucopsis
capital breeding
climatic barrier
green wave hypothesis
migration flyway
onset of spring
Cabot, David
Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
topic_facet animal migration
animal tracking
Argos
barnacle goose
Branta leucopsis
capital breeding
climatic barrier
green wave hypothesis
migration flyway
onset of spring
description Kölzsch A, Bauer S, de Boer R, Griffin L, Cabot D, Exo K-M, van der Jeugd HP, Nolet BA (2014) Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore. Journal of Animal Ecology. doi:10.1111/1365-2656.12281 : 1. Herbivorous birds are hypothesized to migrate in spring along a seasonal gradient of plant profitability towards their breeding grounds (green wave hypothesis). For Arctic-breeding species in particular, following highly profitable food is important, so that they can replenish resources along the way and arrive in optimal body condition to start breeding early. 2. We compared the timing of migratory movements of Arctic-breeding geese on different flyways to examine whether flyways differed in the predictability of spring conditions at stopovers, and whether this was reflected in the degree to which birds were following the green wave. 3. Barnacle geese (Branta leucopsis) were tracked with solar Argos/GPS PTTs from their wintering grounds to breeding sites in Greenland (N = 7), Svalbard (N = 21) and the Barents Sea (N = 12). The numerous stopover sites of all birds were combined into a set of 16 general stopover regions. 4. The predictability of climatic conditions along the flyways was calculated as the correlation and slope between onsets of spring at consecutive stopovers. These values differed between sites, mainly because of the presence or absence of ecological barriers. Goose arrival at stopovers was more closely tied to the local onset of spring when predictability was higher and when geese attempted breeding that year. 5. All birds arrived at early stopovers after the onset of spring and arrived at the breeding grounds before the onset of spring, thus overtaking the green wave. This is in accordance with patterns expected for capital breeders: first they must come into condition; at intermediate stopovers arrival with the food quality peak is important to stay in condition and at the breeding grounds early arrival is favoured so that hatching of young can coincide with the peak of food quality. 6. Our results suggest that a chain of correlations between climatic conditions at subsequent stopovers enables geese to closely track the green wave. However, the birds’ precision of migratory timing seems uninfluenced by ecological barriers, indicating partly fixed migration schedules. These might become non-optimal due to climate warming and preclude accurate timing of long-distance migrants in the future.
format Dataset
author Cabot, David
author_facet Cabot, David
author_sort Cabot, David
title Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
title_short Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
title_full Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
title_fullStr Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
title_full_unstemmed Data from: Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore [Greenland data]
title_sort data from: forecasting spring from afar? timing of migration and predictability of phenology along different migration routes of an avian herbivore [greenland data]
publisher Movebank Data Repository
publishDate 2014
url https://dx.doi.org/10.5441/001/1.5d3f0664
https://www.datarepository.movebank.org/handle/10255/move.380
long_lat ENVELOPE(-54.600,-54.600,-63.383,-63.383)
geographic Arctic
Barents Sea
Cabot
Greenland
Svalbard
geographic_facet Arctic
Barents Sea
Cabot
Greenland
Svalbard
genre Arctic
Barents Sea
Barnacle goose
Branta leucopsis
Greenland
Svalbard
genre_facet Arctic
Barents Sea
Barnacle goose
Branta leucopsis
Greenland
Svalbard
op_relation https://dx.doi.org/10.5441/001/1.5d3f0664/1
https://dx.doi.org/10.5441/001/1.5d3f0664/2
https://dx.doi.org/10.1111/1365-2656.12281
https://dx.doi.org/10.1371/journal.pone.0108331
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5441/001/1.5d3f0664
https://doi.org/10.5441/001/1.5d3f0664/1
https://doi.org/10.5441/001/1.5d3f0664/2
https://doi.org/10.1111/1365-2656.12281
https://doi.org/10.1371/journal.pone.0108331
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