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Migrating bison engineer the green wave
Open accessAbstract
Newly emerging plants provide the best forage for herbivores. To exploit this fleeting resource, migrating herbivores align their movements to surf the wave of spring green-up. With new technology to track migrating animals, the Green Wave Hypothesis has steadily gained empirical support across a diversity of migratory taxa. This hypothesis assumes the green wave is controlled by variation in climate, weather, and topography, and its progression dictates the timing, pace, and extent of migrations. However, aggregate grazers that are also capable of engineering grassland ecosystems make some of the world’s most impressive migrations, and it is unclear how the green wave determines their movements. Here we show that Yellowstone’s bison ( Bison bison ) do not choreograph their migratory movements to the wave of spring green-up. Instead, bison modify the green wave as they migrate and graze. While most bison surfed during early spring, they eventually slowed and let the green wave pass them by. However, small-scale experiments indicated that feedback from grazing sustained forage quality. Most importantly, a 6-fold decadal shift in bison density revealed that intense grazing caused grasslands to green up faster, more intensely, and for a longer duration. Our finding broadens our understanding of the ways in which animal movements underpin the foraging benefit of migration. The widely accepted Green Wave Hypothesis needs to be revised to include large aggregate grazers that not only move to find forage, but also engineer plant phenology through grazing, thereby shaping their own migratory movements.
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Bison has been called an ecosystem engineer and a keystone species because of its role in shaping plant communities and interactions with other animal species.
“The American bison (Bison bison), or American buffalo, has been called an ecosystem engineer and a keystone species because of the role of bison in shaping plant communities, and their interactions with other animal species (Boyce et al., 2022; Geremia et al., 2019; Gerlanc & Kaufman, 2003; Joern, 2005; Knapp et al., 1999; Krueger, 1986).”
From Bison alter the northern Yellowstone ecosystem by breaking aspen saplings (2023) · cites this paper as Geremia et al., 2019
The Abstract calls bison ecosystem engineers, and the Results show that their grazing changes vegetation growth and forage quality. The References list a work on bison’s keystone role, but this paper does not itself characterize bison as a keystone species or describe their interactions with other animal species. No page numbers are supplied in our copy. (LLM, conf=0.84)
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Ecology of a Grazing Ecosystem: The Serengeti
McNaughton, S. J. (1985) · Ecological Monographs · doi:10.2307/1942578 · Cited by 1,367
Serengeti wildebeest migratory patterns modeled from rainfall and new vegetation growth
Boone, R. B., Thirgood, S. J., & Hopcraft, J. G. C. (2006) · Ecology · doi:10.1890/0012-9658(2006)87[1987:swmpmf]2.0.co;2 · Cited by 215
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- J. M. Fryxell, A. R. Sinclair, Causes and consequences of migration by large herbivores. Trends Ecol. Evol. 3, 237–241 (1988). · DOI
- S. Albon, R. Langvatn, Plant phenology and the benefits of migration in a temperate ungulate. Oikos 65, 502–513 (1992). · DOI · Paper page
- J. M. Fryxell, J. F. Wilmshurst, A. R. Sinclair, Predictive models of movement by Serengeti grazers. Ecology 85, 2429–2435 (2004). · DOI
- M. Hebblewhite, E. Merrill, G. McDermid, A multi-scale test of the forage maturation hypothesis in a partially migratory ungulate population. Ecol. Monogr. 78, 141–166 (2008). · DOI
- R. M. Holdo, R. D. Holt, J. M. Fryxell, Opposing rainfall and plant nutritional gradients best explain the wildebeest migration in the Serengeti. Am. Nat. 173, 431–445 (2009). · DOI
- T. Mueller ., In search of forage: Predicting dynamic habitats of Mongolian gazelles using satellite-based estimates of vegetation productivity. J. Appl. Ecol. 45, 649–658 (2008). · DOI
- J. B. Armstrong, G. Takimoto, D. E. Schindler, M. M. Hayes, M. J. Kauffman, Resource waves: Phenological diversity enhances foraging opportunities for mobile consumers. Ecology 97, 1099–1112 (2016). · DOI
- A. Van der Graaf, J. Stahl, A. Klimkowska, J. P. Bakker, R. H. Drent, Surfing on a green wave—how plant growth drives spring migration in the Barnacle Goose Branta leucopsis. Ardea 94, 567–577 (2006).
- R. Bischof ., A migratory northern ungulate in the pursuit of spring: Jumping or surfing the green wave? Am. Nat. 180, 407–424 (2012). · DOI
- J. A. Merkle ., Large herbivores surf waves of green-up during spring. Proc. Biol. Sci. 283, 20160456 (2016).
- M. Shariatinajafabadi ., Migratory herbivorous waterfowl track satellite-derived green wave index. PLoS One 9, e108331 (2014). · DOI
- B. Abrahms ., Memory and resource tracking drive blue whale migrations. Proc. Natl. Acad. Sci. U.S.A. 116, 5582–5587 (2019). · DOI
- P. Beck, T. Wang, A. Skidmore, X. Liu, Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies. Int. J. Remote Sens. 29, 4277–4283 (2008). · DOI
- G. Bohrer, P. S. Beck, S. M. Ngene, A. K. Skidmore, I. Douglas-Hamilton, Elephant movement closely tracks precipitation-driven vegetation dynamics in a Kenyan forest-savanna landscape. Mov. Ecol. 2, 2 (2014). · DOI
- Y. Si ., Do Arctic breeding geese track or overtake a green wave during spring migration? Sci. Rep. 5, 8749 (2015). · DOI
- I. M. Rivrud, M. Heurich, P. Krupczynski, J. Müller, A. Mysterud, Green wave tracking by large herbivores: An experimental approach. Ecology 97, 3547–3553 (2016). · DOI
- E. O. Aikens ., The greenscape shapes surfing of resource waves in a large migratory herbivore. Ecol. Lett. 20, 741–750 (2017). · DOI
- K. Thorup ., Resource tracking within and across continents in long-distance bird migrants. Sci. Adv. 3, e1601360 (2017). · DOI
- B. R. Jesmer ., Is ungulate migration culturally transmitted? Evidence of social learning from translocated animals. Science 361, 1023–1025 (2018). · DOI
- X. Wang ., Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl. Nat. Commun. 10, 2187 (2019). · DOI
- H. L. Bartlam‐Brooks, P. S. Beck, G. Bohrer, S. Harris, In search of greener pastures: Using satellite images to predict the effects of environmental change on zebra migration. J. Geophys. Res. Biogeosci. 118, 1427–1437 (2013). · DOI
- D. A. Frank, S. J. McNaughton, B. F. Tracy, The ecology of the Earth’s grazing ecosystems. Bioscience 48, 513–521 (1998). · DOI
- A. K. Knapp ., The keystone role of bison in North American tallgrass prairie: Bison increase habitat heterogeneity and alter a broad array of plant, community, and ecosystem processes. Bioscience 49, 39–50 (1999). · DOI · Paper page
- D. A. Frank, R. L. Wallen, P. J. White, Ungulate control of grassland production: Grazing intensity and ungulate species composition in Yellowstone Park. Ecosphere 7, e01603 (2016). · DOI
- A. C. Isenberg, The Destruction of the Bison: An Environmental History, 1750-1920 (Cambridge University Press, 2001).
- C. Geremia ., Integrating population- and individual-level information in a movement model of Yellowstone bison. Ecol. Appl. 24, 346–362 (2014). · DOI
- E. J. Raynor, A. Joern, J. B. Nippert, J. M. Briggs, Foraging decisions underlying restricted space use: Effects of fire and forage maturation on large herbivore nutrient uptake. Ecol. Evol. 6, 5843–5853 (2016). · DOI
- D. A. Frank, R. L. Wallen, E. W. Hamilton, P. J. White, J. D. Fridley, Manipulating the system: How large herbivores control bottom‐up regulation of grasslands. J. Ecol. 106, 434–443 (2018). · DOI
- M. A. Hurley ., Functional analysis of normalized difference vegetation index curves reveals overwinter mule deer survival is driven by both spring and autumn phenology. Philos. Trans. R. Soc. Lond. B Biol. Sci. 369, 20130196 (2014). · DOI
- E. L. Garroutte, A. J. Hansen, R. L. Lawrence, Using NDVI and EVI to map spatiotemporal variation in the biomass and quality of forage for migratory elk in the Greater Yellowstone Ecosystem. Remote Sens. 8, 404 (2016). · DOI
- D. S. Wilcove, M. Wikelski, Going, going, gone: Is animal migration disappearing. PLoS Biol. 6, e188 (2008). · DOI
- C. C. Gates, C. H. Freese, P. J. Gogan, M. Kotzman, American Bison: Status Survey and Conservation Guidelines 2010 (IUCN, 2010).
- R. K. Lyons, J. W. Stuth, Fecal NIRS equations for predicting diet quality of free-ranging cattle. J. Range Manage. 45, 238–244 (1992). · DOI
- J. Stuth, A. Jama, D. Tolleson, Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy. Field Crops Res. 84, 45–56 (2003). · DOI
- S. J. McNaughton, Grazing lawns: Animals in herds, plant form, and coevolution. Am. Nat. 124, 863–886 (1984). · DOI · Paper page
- D. A. Frank, S. J. McNaughton, The ecology of plants, large mammalian herbivores, and drought in Yellowstone National Park. Ecology 73, 2043–2058 (1992). · DOI
- D. A. Frank, S. J. McNaughton, Aboveground biomass estimation with the canopy intercept method: A plant growth form caveat. Oikos 57, 57–60 (1990). · DOI
- J. Ramsay, G. Hooker, S. Graves, Functional Data Analysis with R and MATLAB (Springer Science & Business Media, 2009). · DOI
Cited by
Sorted by citations
Seasonal patterns of bison diet across climate gradients in North America.
Craine, J. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-86260-9 · Cited by 50
Bison limit ecosystem recovery in northern Yellowstone
Beschta, R. L., Ripple, W. J., Kauffman, J. B., & Painter, L. E. (2020) · Food Webs · doi:10.1016/j.fooweb.2020.e00142 · Cited by 41
Bison alter the northern Yellowstone ecosystem by breaking aspen saplings
Painter, L. E., Beschta, R. L., & Ripple, W. J. (2023) · Ecology and Evolution · doi:10.1002/ece3.10369 · Cited by 17
Kauffman, J. B., Cummings, D. L., Kauffman, C., Beschta, R. L., Brooks, J., MacNeill, K., & Ripple, W. J. (2023) · Ecosphere · doi:10.1002/ecs2.4406 · Cited by 15
Metadata
- Authors
- Geremia, C., Merkle, J. A., Eacker, D. R., Wallen, R. L., White, P. J., Hebblewhite, M., & Kauffman, M. J.
- Affiliations
- Yellowstone National Park (US)
- University of Wyoming (US)
- University of Montana (US)
- Corresponding author
- Geremia, Chris
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-11-21
- Volume
- 116
- Issue
- 51
- Pages
- 25707-25713
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6925981
- OpenAlex
- W2989618704
- Cited by
- 152
- References
- 2
- Citations by year
- 2026: 20 · 2025: 16 · 2024: 21 · 2023: 26 · 2022: 29 · 2021: 23 · 2020: 17
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- DOI | National Park Service (NA)
- National Science Foundation (1556248)
- Topics
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
- Keywords
- plant phenology, spring green-up, forage quality, Yellowstone National Park
- MeSH terms
- Animals, Climate, Feeding Behavior, Models, Biological, Montana, Plants, Seasons, Wyoming, Bison, Animal Migration, Geographic Information Systems, Herbivory
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