[en] Taking in sufficient quantities of nutrients is vital for all living beings and in doing so, individuals interact with the local resource environment. Here, we focus explicitly on the interactions between feeding individuals and the resource landscape. In particular, we are interested in the emergent movement dynamics resulting from these interactions. We present an individual-based simulation model for the movement of populations in a resource landscape that allows us to vary the strength of the interactions mentioned above. The key assumption and novelty of our model is that individuals can cause the release of additional nutrients, as well as consuming them. Our model produces clear predictions. For example, we expect more tortuous individual movement paths and higher levels of aggregation in populations occupying homogeneous environments where individual movement makes more nutrients available. We also show how observed movement dynamics could change when local nutrient sources are depleted or when the population density increases. Our predictions are testable and qualitatively reproduce the different feeding behaviours observed in filter-feeding ducks, for example. We suggest that considering two-way interactions between feeding individuals and resource landscapes could help to explain fine-scale movement dynamics.
Bode, Nikolai WF; University of Essex > Department of Mathematical Sciences
Delcourt, Johann ; Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie du comportement - Ethologie et psychologie animale
Language :
English
Title :
Individual – to – resource landscape interaction strength can explain different collective feeding behaviours
Publication date :
2013
Journal title :
PLoS ONE
eISSN :
1932-6203
Publisher :
Public Library of Science, San Franscisco, United States - California
Volume :
8
Issue :
10
Pages :
e75879
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique AXA funding GB
Commentary :
Article, with supplementary figures and videos, avalaible also on http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0075879
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Bibliography
Oom SP, Beecham JA, Legg CJ, Hester AJ, (2004) Forgaing in a complex environment: from foraging strategies to emergent spatial properties. Ecol Complex 1: 299-327.
Codling EA, Plank MJ, Benhamou S, (2008) Random walk models in biology. J R Soc Interface 5: 813-834.
Bartumeus F, Catalan J, Viswanathan GM, Raposo EP, da Luz MGE, (2008) The influence of turning angles on the success of non-oriented animal searches. J theor Biol 252: 43-55.
Krause J, Ruxton GD (2002) Living in groups. Oxford: Oxford University Press.
Caro TM (2005) Antipredator defenses in birds and mammals. Chicago: University of Chicago Press.
Sumpter DJT (2010) Collective animal behavior. Princeton: Princeton University Press.
Camazine S, Deneubourg J-L, Franks NR, Sneyd J, Theraulaz G, et al. (2001) Self-organization in biological systems. Princeton: Princeton University Press.
Despland E, Rosenberg J, Simpson SJ, (2004) Landscape structure and locust swarming: a satellite's eye view. Ecography 27: 381-391.
Hamilton WD, (1971) The geometry of the selfish herd. J theor Biol 31: 295-311.
Lima SL, (1995) Back to the basics of anti-predatory vigilance: the group-size effect. Anim Behav 49: 1-20.
Rieucau G, Martin JGA, (2008) Many eyes or many ewes: vigilance tactics in female bighorn sheep Ovis canadensis vary according to reproductive status. Oikos 117: 501-506.
Torney C, Levin SA, Couzin ID, (2010) Specialization and evolutionary branching within migratory populations. Proc Natl Acad Sci USA 107: 20394-20399.
Partridge BL, Johansson J, Kalish J, (1983) The structure of schools of giant bluefin tuna in Cape Cod Bay. Env Biol Fish 9: 253-262.
Pitman RL, Ballance LP, Mesnick SI, Chivers SJ, (2001) Killer whale predation on sperm whales: observations and implications. Mar Mammal Sci 17: 494-507.
Deneubourg J-L, Aron S, Goss S, Pasteels JM, (1990) The self organizing exploratory pattern of the argentine ant. J Insect Behav 3: 159-168.
Perna A, Granovskiy B, Garnier S, Nicolis SC, Labedan M, et al. (2012) Individual rules for trail pattern formation in Argentine ants (Linepithema humile). Plos Comput Biol 8: e1002592.
Riley JR, Greggers U, Smith AD, Reynolds DR, Menzel R, (2005) The flight paths of honeybees recruited by the waggle dance. Nature 435: 205-207.
Katz LC, Potel MJ, Wassersug RJ, (1981) Structure and mechanisms of schooling in tadpoles of the clawed frog Xenopus laevis. Anim Behav 29: 20-33.
Bazazi S, Pfennig KS, Handegard NO, Couzin ID, (2012) Vortex formation and foraging in polyphenic spadefoot toad tadpoles. Behav Ecol Sociobiol 66: 879-889.
Bragg AN (1965) Gnomes of the night: the spadefoot toads. Philadelphia: University of Pennsylvania Press.
Obst BS, Hamner WM, Hamner PP, Wolanski E, Rubega M, et al. (1996) Kinematics of phalarope spinning. Nature 384: 121.
Gooders J, Boyer T (1986) Ducks of North America and the Northern Hemisphere. Re-issue edition. New York, NY: Facts On File.
Johnsgard P (1965) Handbook of Waterfowl Behavior. New York: Comstock Publishing Associates.
Todd F (1979) Waterfowl, Ducks, Geese, and Swans of the World. San Diego, CA: Harcourt.
Czirok A, Ben-Jacob E, Cohen I, Vicsek T, (1996) Formation of complex bacterial colonies via self-generated vortices. Phys Rev E 54: 1791-1801.
Grassé PP, (1959) La reconstruction du nid et les coordinations interindividuelles chez Bellicositermes natalensis et Cubitermes sp. la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeurs. Insectes Soc 6: 41-80.
Couzin ID, Krause J, James R, Ruxton GD, Franks NR, (2002) Collective memory and spatial sorting in animal groups. J theor Biol 218: 1-11.
Crome FHJ, (1985) An experimental investigation of filter-feeding on zooplankton by some specialized waterfowl. Aust J Zool 33: 849-862.
Delcourt J, Poncin P, (2012) Shoals and schools: back to the heuristic definitions and quantitative references. Rev Fish Biol Fisher 22: 595-619.
Mach R, Schweitzer F, (2007) Modeling vortex swarming in daphnia. B Math Biol 69: 539-562.
Grossman D, Aranson IS, Ben-Jacob E, (2008) Emergence of agent swarm migration and vortex formation through inelastic collisions. New J Phys 10: 023036.
Becco C, Vandewalle N, Delcourt J, Poncin P, (2006) Experimental evidences of a structural and dynamical transition in fish school. Physica A 367: 487-493.
Buhl J, Sumpter DJT, Couzin ID, Hale JJ, Despland E, et al. (2006) From disorder to order in marching locusts. Science 312: 1402-1406.
Thomas GJ, (1982) Autumn and winter feeding ecology of waterfowl at the Ouse Washes, England. J Zool 197: 131-172.
Tietje WD, Teer JG, (1996) Winter feeding ecology of Northern Shovelers on freshwater and saline wetlands in South Texas. J Wildl Manage 60: 843-855.
Guillemain M, Fritz H, Guillon N, (2000) Foraging Behavior and Habitat Choice of Wintering Northern Shoveler in a Major Wintering Quarter in France. Waterbirds 23: 353-363.
Géroudet P (1999) Les Palmipèdes d'Europe. Paris: Delachaux et Niestlé, Lausanne.
DiGiacomo PM, Hamner WM, Hamner PP, Caldeira RMA, (2002) Phalaropes feeding at a coastal front in Santa Monica Bay, California. J Mar Syst 37: 199-212.
Tania N, Vanderlei B, Heath JP, Edelstein-Keshet L, (2012) Role of social interactions in dynamic patterns of resource patches and forager aggregation. Proc Natl Acad Sci USA 109: 11228-11233.
Ben-Jacob E, Cohen I, Czirok A, Vicsek T, Gutnick DL, (1997) Chemomodulation of cellular movement, collective formation of vortices by swarming bacteria, and colonial development. Physica A 238: 181-197.
Kils U, (1992) The ecoSCOPE and dynIMAGE: microscale tools for in situ studies of predator-prey interactions. Arch Hydrobiol 36: 83-96.
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