Wading bird foraging on a wetland landscape: a comparison of two strategies
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Published:2022
Issue:8
Volume:19
Page:7687-7718
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ISSN:1551-0018
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Container-title:Mathematical Biosciences and Engineering
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language:
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Short-container-title:MBE
Author:
Lee Hyo Won1, DeAngelis Donald L.2, Yurek Simeon3, Tennenbaum Stephen1
Affiliation:
1. Biological Sciences Department, Florida International University, Miami, FL, USA 2. U.S. Geological Survey, Wetland and Aquatic Research Center, Davie, FL 33314, USA 3. U.S. Geological Survey, Wetland and Aquatic Research Center, Gainesville, FL 32653, USA
Abstract
<abstract>
<p>Tactile-feeding wading birds, such as wood storks and white ibises, require high densities of prey such as small fishes and crayfish to support themselves and their offspring during the breeding season. Prey availability in wetlands is often determined by seasonal hydrologic pulsing, such as in the subtropical Everglades, where spatial distributions of prey can vary through time, becoming heterogeneously clumped in patches, such as ponds or sloughs, as the wetland dries out. In this mathematical modeling study, we selected two possible foraging strategies to examine how they impact total energetic intake over a time scale of one day. In the first, wading birds sample prey patches without a priori knowledge of the patches' prey densities, moving from patch to patch, staying long enough to estimate the prey density, until they find one that meets a predetermined satisfactory threshold, and then staying there for a longer period. For this case, we solve for a wading bird's expected prey intake over the course of a day, given varying theoretical probability distributions of patch prey densities across the landscape. In the second strategy considered, it is assumed that the wading bird samples a given number of patches, and then uses memory to return to the highest quality patch. Our results show how total intake over a day is impacted by assumptions of the parameters governing the spatial distribution of prey among patches, which is a key source of parameter uncertainty in both natural and managed ecosystems. Perhaps surprisingly, the foraging strategy that uses a prey density threshold generally led to higher maximum potential prey intake than the strategy for using memory to return to the best patch sampled. These results will contribute to understanding the foraging of wading birds and to the management of wetlands.</p>
</abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
Reference22 articles.
1. R. Liu, S. A. Gourley, D. L. DeAngelis, J. P. Bryant, Modeling the dynamics of woody plant–herbivore interactions with age-dependent toxicity, J. Math. Biol, 65 (2012), 521–552. https://doi.org/10.1007/s00285-011-0470-0 2. R. Liu, S. A. Gourley, D. L. DeAngelis, J. P. Bryant, A mathematical model of woody plant chemical defenses and snowshoe hare feeding behavior in boreal forests: the effect of age-dependent toxicity of twig segments, SIAM J. Appl. Math., 73 (2013), 281–304. https://doi.org/10.1137/110848219 3. D. L. DeAngelis, J. P. Bryant, R. Liu, S. A. Gourley, C. J. Krebs, P. B Reichardt, A plant toxin mediated mechanism for the lag in snowshoe hare population recovery following cyclic declines, Oikos, 124 (2015), 796–805. https://doi.org/10.1111/oik.01671 4. S. A. Gourley, R. Liu, J. Wu, Spatiotemporal distributions of migratory birds: Patchy models with delay, SIAM J. Appl. Dyn. Syst., 9 (2010), 589–610. https://doi.org/10.1137/090767261 5. G. T. Bancroft, A. M. Strong, R. J. Sawicki, W. Hoffman, S. D. Jewell, Relationship among wading bird foraging patterns, colony locations, and hydrology in the Everglades, St. Lucie Press, (1994), 615–665. Available from: https://www.taylorfrancis.com/chapters/edit/10.1201/9781466571754-34.
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