Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index

Many migrating herbivores rely on plant biomass to fuel their life cycles and have adapted to following changes in plant quality through time. The green wave hypothesis predicts that herbivorous waterfowl will follow the wave of food availability and quality during their spring migration. However, t...

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Published in:PLoS ONE
Main Authors: Shariatinajafabadi, Mitra, Wang, Tiejun, Skidmore, Andrew K., Toxopeus, Albertus G., Kölzsch, Andrea, Nolet, Bart A., Exo, Klaus-Michael, Griffin, Larry, Stahl, Julia, Cabot, David
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1q2qo4zvlxqi18
https://doi.org/10.1371/journal.pone.0108331
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spelling ftubkonstanz:oai:kops.uni-konstanz.de:123456789/48127 2024-02-11T10:04:21+01:00 Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index Shariatinajafabadi, Mitra Wang, Tiejun Skidmore, Andrew K. Toxopeus, Albertus G. Kölzsch, Andrea Nolet, Bart A. Exo, Klaus-Michael Griffin, Larry Stahl, Julia Cabot, David 2014-09-23 application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1q2qo4zvlxqi18 https://doi.org/10.1371/journal.pone.0108331 eng eng http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1q2qo4zvlxqi18 http://dx.doi.org/10.1371/journal.pone.0108331 1686084927 http://creativecommons.org/licenses/by/4.0/ PLoS one. 2014, 9(9), e108331. eISSN 1932-6203. Available under: doi:10.1371/journal.pone.0108331 ddc:570 doc-type:article doc-type:Text 2014 ftubkonstanz https://doi.org/10.1371/journal.pone.0108331 2024-01-21T23:54:39Z Many migrating herbivores rely on plant biomass to fuel their life cycles and have adapted to following changes in plant quality through time. The green wave hypothesis predicts that herbivorous waterfowl will follow the wave of food availability and quality during their spring migration. However, testing this hypothesis is hampered by the large geographical range these birds cover. The satellite-derived normalized difference vegetation index (NDVI) time series is an ideal proxy indicator for the development of plant biomass and quality across a broad spatial area. A derived index, the green wave index (GWI), has been successfully used to link altitudinal and latitudinal migration of mammals to spatio-temporal variations in food quality and quantity. To date, this index has not been used to test the green wave hypothesis for individual avian herbivores. Here, we use the satellite-derived GWI to examine the green wave hypothesis with respect to GPS-tracked individual barnacle geese from three flyway populations (Russian n = 12, Svalbard n = 8, and Greenland n = 7). Data were collected over three years (2008–2010). Our results showed that the Russian and Svalbard barnacle geese followed the middle stage of the green wave (GWI 40–60%), while the Greenland geese followed an earlier stage (GWI 20–40%). Despite these differences among geese populations, the phase of vegetation greenness encountered by the GPS-tracked geese was close to the 50% GWI (i.e. the assumed date of peak nitrogen concentration), thereby implying that barnacle geese track high quality food during their spring migration. To our knowledge, this is the first time that the migration of individual avian herbivores has been successfully studied with respect to vegetation phenology using the satellite-derived GWI. Our results offer further support for the green wave hypothesis applying to long-distance migrants on a larger scale. published published Article in Journal/Newspaper Greenland Svalbard KOPS - The Institutional Repository of the University of Konstanz Svalbard Greenland PLoS ONE 9 9 e108331
institution Open Polar
collection KOPS - The Institutional Repository of the University of Konstanz
op_collection_id ftubkonstanz
language English
topic ddc:570
spellingShingle ddc:570
Shariatinajafabadi, Mitra
Wang, Tiejun
Skidmore, Andrew K.
Toxopeus, Albertus G.
Kölzsch, Andrea
Nolet, Bart A.
Exo, Klaus-Michael
Griffin, Larry
Stahl, Julia
Cabot, David
Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
topic_facet ddc:570
description Many migrating herbivores rely on plant biomass to fuel their life cycles and have adapted to following changes in plant quality through time. The green wave hypothesis predicts that herbivorous waterfowl will follow the wave of food availability and quality during their spring migration. However, testing this hypothesis is hampered by the large geographical range these birds cover. The satellite-derived normalized difference vegetation index (NDVI) time series is an ideal proxy indicator for the development of plant biomass and quality across a broad spatial area. A derived index, the green wave index (GWI), has been successfully used to link altitudinal and latitudinal migration of mammals to spatio-temporal variations in food quality and quantity. To date, this index has not been used to test the green wave hypothesis for individual avian herbivores. Here, we use the satellite-derived GWI to examine the green wave hypothesis with respect to GPS-tracked individual barnacle geese from three flyway populations (Russian n = 12, Svalbard n = 8, and Greenland n = 7). Data were collected over three years (2008–2010). Our results showed that the Russian and Svalbard barnacle geese followed the middle stage of the green wave (GWI 40–60%), while the Greenland geese followed an earlier stage (GWI 20–40%). Despite these differences among geese populations, the phase of vegetation greenness encountered by the GPS-tracked geese was close to the 50% GWI (i.e. the assumed date of peak nitrogen concentration), thereby implying that barnacle geese track high quality food during their spring migration. To our knowledge, this is the first time that the migration of individual avian herbivores has been successfully studied with respect to vegetation phenology using the satellite-derived GWI. Our results offer further support for the green wave hypothesis applying to long-distance migrants on a larger scale. published published
format Article in Journal/Newspaper
author Shariatinajafabadi, Mitra
Wang, Tiejun
Skidmore, Andrew K.
Toxopeus, Albertus G.
Kölzsch, Andrea
Nolet, Bart A.
Exo, Klaus-Michael
Griffin, Larry
Stahl, Julia
Cabot, David
author_facet Shariatinajafabadi, Mitra
Wang, Tiejun
Skidmore, Andrew K.
Toxopeus, Albertus G.
Kölzsch, Andrea
Nolet, Bart A.
Exo, Klaus-Michael
Griffin, Larry
Stahl, Julia
Cabot, David
author_sort Shariatinajafabadi, Mitra
title Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
title_short Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
title_full Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
title_fullStr Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
title_full_unstemmed Migratory Herbivorous Waterfowl Track Satellite-Derived Green Wave Index
title_sort migratory herbivorous waterfowl track satellite-derived green wave index
publishDate 2014
url http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1q2qo4zvlxqi18
https://doi.org/10.1371/journal.pone.0108331
geographic Svalbard
Greenland
geographic_facet Svalbard
Greenland
genre Greenland
Svalbard
genre_facet Greenland
Svalbard
op_source PLoS one. 2014, 9(9), e108331. eISSN 1932-6203. Available under: doi:10.1371/journal.pone.0108331
op_relation http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1q2qo4zvlxqi18
http://dx.doi.org/10.1371/journal.pone.0108331
1686084927
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1371/journal.pone.0108331
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