IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i20p3773-3784.html
   My bibliography  Save this article

A large-scale multi-species spatial depletion model for overwintering waterfowl

Author

Listed:
  • Baveco, Johannes M.
  • Kuipers, Harold
  • Nolet, Bart A.

Abstract

In this paper, we develop a model to evaluate the capacity of accommodation areas for overwintering waterfowl, at a large spatial scale. Each day geese are distributed over roosting sites. Based on the energy minimization principle, the birds daily decide which surrounding fields to exploit within the reserve boundaries. Energy expenditure depends on distance to the roost and weather conditions. Food intake rate is determined by functional responses, and declines with consumption. A shortage occurs when birds cannot fulfil their daily energy requirement. Most foraging takes place on pasture, with complementary feeding for some of the species on cereals and harvest remains. We applied the model to five waterfowl species overwintering in the Netherlands. From a comparison with field data, the model appears to produce realistic grazing pressures on pasture, especially for geese, and a realistic decline in sward height, but the use of arable fields is less in agreement with observations. For current goose and wigeon numbers, hardly any shortages are expected, but extrapolating the population increase observed during the last decade, considerable shortages are expected in the near future (2015). However, we find that several uncertainties may contribute to more severe shortages: a probabilistic (and therefore less optimal) choice of foraging location, a shorter maximum distance to the roost, and a lower effective availability of resources due to disturbances and other edge effects. Between species we find both competition and facilitation. Both type of interactions, as well as the spatial pattern of resource exploitation, are explained from functional responses and energetic costs of the species.

Suggested Citation

  • Baveco, Johannes M. & Kuipers, Harold & Nolet, Bart A., 2011. "A large-scale multi-species spatial depletion model for overwintering waterfowl," Ecological Modelling, Elsevier, vol. 222(20), pages 3773-3784.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:20:p:3773-3784
    DOI: 10.1016/j.ecolmodel.2011.09.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011004728
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.09.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olivier Duriez & Silke Bauer & Anne Destin & Jesper Madsen & Bart A. Nolet & Richard A. Stillman & Marcel Klaassen, 2009. "What decision rules might pink-footed geese use to depart on migration? An individual-based model," Behavioral Ecology, International Society for Behavioral Ecology, vol. 20(3), pages 560-569.
    2. Ilkka Hanski & Otso Ovaskainen, 2000. "The metapopulation capacity of a fragmented landscape," Nature, Nature, vol. 404(6779), pages 755-758, April.
    3. Hauser, C.E. & Runge, M.C. & Cooch, E.G. & Johnson, F.A. & Harvey, W.F., 2007. "Optimal control of Atlantic population Canada geese," Ecological Modelling, Elsevier, vol. 201(1), pages 27-36.
    4. van Langevelde, Frank & Drescher, Michael & Heitkönig, Ignas M.A. & Prins, Herbert H.T., 2008. "Instantaneous intake rate of herbivores as function of forage quality and mass: Effects on facilitative and competitive interactions," Ecological Modelling, Elsevier, vol. 213(3), pages 273-284.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adriaan M Dokter & Wimke Fokkema & Steven K Bekker & Willem Bouten & Barwolt S Ebbinge & Gerard Müskens & Han Olff & Henk P van der Jeugd & Bart A Nolet, 2018. "Body stores persist as fitness correlate in a long-distance migrant released from food constraints," Behavioral Ecology, International Society for Behavioral Ecology, vol. 29(5), pages 1157-1166.
    2. Wood, Kevin A. & Hilton, Geoff M. & Newth, Julia L. & Rees, Eileen C., 2019. "Seasonal variation in energy gain explains patterns of resource use by avian herbivores in an agricultural landscape: Insights from a mechanistic model," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.
    3. Wood, Kevin A. & Stillman, Richard A. & Newth, Julia L. & Nuijten, Rascha J.M. & Hilton, Geoff M. & Nolet, Bart A. & Rees, Eileen C., 2021. "Predicting avian herbivore responses to changing food availability and competition," Ecological Modelling, Elsevier, vol. 441(C).
    4. Nabe-Nielsen, Jacob & Sibly, Richard M. & Tougaard, Jakob & Teilmann, Jonas & Sveegaard, Signe, 2014. "Effects of noise and by-catch on a Danish harbour porpoise population," Ecological Modelling, Elsevier, vol. 272(C), pages 242-251.
    5. West, Benjamin M. & Wildhaber, Mark L. & Aagaard, Kevin J. & Thogmartin, Wayne E. & Moore, Adrian P. & Hooper, Michael J., 2022. "Migration and energetics model predicts delayed migration and likely starvation in oiled waterbirds," Ecological Modelling, Elsevier, vol. 474(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Laguna, M.F. & Abramson, G. & Kuperman, M.N. & Lanata, J.L. & Monjeau, J.A., 2015. "Mathematical model of livestock and wildlife: Predation and competition under environmental disturbances," Ecological Modelling, Elsevier, vol. 309, pages 110-117.
    2. Joyce Maschinski & Michael Ross & Hong Liu & Joe O’Brien & Eric Wettberg & Kristin Haskins, 2011. "Sinking ships: conservation options for endemic taxa threatened by sea level rise," Climatic Change, Springer, vol. 107(1), pages 147-167, July.
    3. Vuilleumier, Séverine & Fontanillas, Pierre, 2007. "Landscape structure affects dispersal in the greater white-toothed shrew: Inference between genetic and simulated ecological distances," Ecological Modelling, Elsevier, vol. 201(3), pages 369-376.
    4. Drielsma, Michael & Love, Jamie, 2021. "An equitable method for evaluating habitat amount and potential occupancy," Ecological Modelling, Elsevier, vol. 440(C).
    5. McLane, Adam J. & Semeniuk, Christina & McDermid, Gregory J. & Marceau, Danielle J., 2011. "The role of agent-based models in wildlife ecology and management," Ecological Modelling, Elsevier, vol. 222(8), pages 1544-1556.
    6. Cornell, Stephen J. & Ovaskainen, Otso, 2008. "Exact asymptotic analysis for metapopulation dynamics on correlated dynamic landscapes," Theoretical Population Biology, Elsevier, vol. 74(3), pages 209-225.
    7. Christensen, Claire & Albert, István & Grenfell, Bryan & Albert, Réka, 2010. "Disease dynamics in a dynamic social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2663-2674.
    8. Eriksson, A. & Elías-Wolff, F. & Mehlig, B., 2013. "Metapopulation dynamics on the brink of extinction," Theoretical Population Biology, Elsevier, vol. 83(C), pages 101-122.
    9. d’Acampora, Bárbara H.A. & Higueras, Ester & Román, Emilia, 2018. "Combining different metrics to measure the ecological connectivity of two mangrove landscapes in the Municipality of Florianópolis, Southern Brazil," Ecological Modelling, Elsevier, vol. 384(C), pages 103-110.
    10. Bodin, Örjan & Saura, Santiago, 2010. "Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments," Ecological Modelling, Elsevier, vol. 221(19), pages 2393-2405.
    11. Zhouqiao Ren & Jianhua He & Qiaobing Yue, 2021. "Assessing the Impact of Urban Expansion on Surrounding Forested Landscape Connectivity across Space and Time," Land, MDPI, vol. 10(4), pages 1-14, April.
    12. Xulin Guo & John F. Wilmshurst & Zhaoqin Li, 2010. "Comparison of Laboratory and Field Remote Sensing Methods to Measure Forage Quality," IJERPH, MDPI, vol. 7(9), pages 1-18, September.
    13. Bauer, Dana Marie & Swallow, Stephen K. & Paton, Peter W.C., 2010. "Cost-effective species conservation in exurban communities: A spatial analysis," Resource and Energy Economics, Elsevier, vol. 32(2), pages 180-202, April.
    14. Malishev, Matthew & Kramer-Schadt, Stephanie, 2021. "Movement, models, and metabolism: Individual-based energy budget models as next-generation extensions for predicting animal movement outcomes across scales," Ecological Modelling, Elsevier, vol. 441(C).
    15. Chudzińska, Magda & Ayllón, Daniel & Madsen, Jesper & Nabe-Nielsen, Jacob, 2016. "Discriminating between possible foraging decisions using pattern-oriented modelling: The case of pink-footed geese in Mid-Norway during their spring migration," Ecological Modelling, Elsevier, vol. 320(C), pages 299-315.
    16. Zhdanova, Oksana L. & Kuzin, Аlexey Е. & Skaletskaya, Elena I. & Frisman, Еfim Ya., 2017. "Why the population of the northern fur seals (Callorhinus ursinus) of Tyuleniy Island does not recover following the harvest ban: Analysis of 56 years of observation data," Ecological Modelling, Elsevier, vol. 363(C), pages 57-67.
    17. Peck, Steven L., 2012. "Networks of habitat patches in tsetse fly control: Implications of metapopulation structure on assessing local extinction probabilities," Ecological Modelling, Elsevier, vol. 246(C), pages 99-102.
    18. Vuilleumier, Séverine & Possingham, Hugh P., 2012. "Interacting populations in heterogeneous environments," Ecological Modelling, Elsevier, vol. 228(C), pages 96-105.
    19. Ranjan, Ravi & Bagchi, Sumanta, 2016. "Functional response and body size in consumer–resource interactions: Unimodality favors facilitation," Theoretical Population Biology, Elsevier, vol. 110(C), pages 25-35.
    20. Gaaff, Aris & Reinhard, Stijn, 2012. "Incorporating the value of ecological networks into cost–benefit analysis to improve spatially explicit land-use planning," Ecological Economics, Elsevier, vol. 73(C), pages 66-74.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:222:y:2011:i:20:p:3773-3784. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.