Literature DB >> 21545586

Stopover ecology of a migratory ungulate.

Hall Sawyer1, Matthew J Kauffman.   

Abstract

1. Birds that migrate long distances use stopover sites to optimize fuel loads and complete migration as quickly as possible. Stopover use has been predicted to facilitate a time-minimization strategy in land migrants as well, but empirical tests have been lacking, and alternative migration strategies have not been considered. 2. We used fine-scale movement data to evaluate the ecological role of stopovers in migratory mule deer Odocoileus hemionus- a land migrant whose fitness is strongly influenced by energy intake rather than migration speed. 3. Although deer could easily complete migrations (range 18-144 km) in several days, they took an average of 3 weeks and spent 95% of that time in a series of stopover sites that had higher forage quality than movement corridors. Forage quality of stopovers increased with elevation and distance from winter range. Mule deer use of stopovers corresponded with a narrow phenological range, such that deer occupied stopovers 44 days prior to peak green-up, when forage quality was presumed to be highest. Mule deer used one stopover for every 5·3 and 6·7 km travelled during spring and autumn migrations, respectively, and used the same stopovers in consecutive years. 4. Study findings indicate that stopovers play a key role in the migration strategy of mule deer by allowing individuals to migrate in concert with plant phenology and maximize energy intake rather than speed. Our results suggest that stopover use may be more common among non-avian taxa than previously thought and, although the underlying migration strategies of temperate ungulates and birds are quite different, stopover use is important to both. 5. Exploring the role of stopovers in land migrants broadens the scope of stopover ecology and recognizes that the applied and theoretical benefits of stopover ecology need not be limited to avian taxa.
© 2011 The Authors. Journal of Animal Ecology © 2011 British Ecological Society.

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Year:  2011        PMID: 21545586     DOI: 10.1111/j.1365-2656.2011.01845.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  32 in total

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Authors:  Andrea Kölzsch; Adriana Alzate; Frederic Bartumeus; Monique de Jager; Ellen J Weerman; Geerten M Hengeveld; Marc Naguib; Bart A Nolet; Johan van de Koppel
Journal:  Proc Biol Sci       Date:  2015-05-22       Impact factor: 5.349

2.  Memory, not just perception, plays an important role in terrestrial mammalian migration.

Authors:  Chloe Bracis; Thomas Mueller
Journal:  Proc Biol Sci       Date:  2017-05-31       Impact factor: 5.349

3.  Spring phenology of ecological productivity contributes to the use of looped migration strategies by birds.

Authors:  Frank A La Sorte; Daniel Fink; Wesley M Hochachka; John P DeLong; Steve Kelling
Journal:  Proc Biol Sci       Date:  2014-09-10       Impact factor: 5.349

4.  Industrial energy development decouples ungulate migration from the green wave.

Authors:  Ellen O Aikens; Teal B Wyckoff; Hall Sawyer; Matthew J Kauffman
Journal:  Nat Ecol Evol       Date:  2022-10-06       Impact factor: 19.100

5.  Large herbivores surf waves of green-up during spring.

Authors:  Jerod A Merkle; Kevin L Monteith; Ellen O Aikens; Matthew M Hayes; Kent R Hersey; Arthur D Middleton; Brendan A Oates; Hall Sawyer; Brandon M Scurlock; Matthew J Kauffman
Journal:  Proc Biol Sci       Date:  2016-06-29       Impact factor: 5.349

6.  Riding the crimson tide: mobile terrestrial consumers track phenological variation in spawning of an anadromous fish.

Authors:  Daniel E Schindler; Jonathan B Armstrong; Kale T Bentley; Kathijo Jankowski; Peter J Lisi; Laura X Payne
Journal:  Biol Lett       Date:  2013-04-03       Impact factor: 3.703

7.  Environmental variability, reliability of information and the timing of migration.

Authors:  Silke Bauer; John M McNamara; Zoltan Barta
Journal:  Proc Biol Sci       Date:  2020-05-06       Impact factor: 5.349

8.  Testing the potential of streamflow data to predict spring migration of ungulate herds.

Authors:  Jason S Alexander; Marissa L Murr; Cheryl A Eddy-Miller
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

9.  Comparing habitat suitability and connectivity modeling methods for conserving pronghorn migrations.

Authors:  Erin E Poor; Colby Loucks; Andrew Jakes; Dean L Urban
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

10.  Migrating mule deer: effects of anthropogenically altered landscapes.

Authors:  Patrick E Lendrum; Charles R Anderson; Kevin L Monteith; Jonathan A Jenks; R Terry Bowyer
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

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