IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v312y2015icp239-246.html
   My bibliography  Save this article

Indirect effect of climate change: Shifts in ratsnake behavior alter intensity and timing of avian nest predation

Author

Listed:
  • DeGregorio, Brett A.
  • Westervelt, James D.
  • Weatherhead, Patrick J.
  • Sperry, Jinelle H.

Abstract

Understanding how climate change will affect the abundance, distribution, and behavior of wildlife has garnered substantial attention, but predicting how climate change may alter interspecific relationships is more challenging and has received less attention. Here, we use agent-based modeling to explore how climate warming may alter activity patterns and habitat use of ratsnakes and how this will change their interactions with nesting birds. Overall nest predation by ratsnakes increased with warming environmental temperatures, with a 7% increase in daily nest predation as temperatures warmed by 2°C. Modest increases in ambient temperature (0.5°C) caused nocturnal predation by ratsnakes to increase by 15%, particularly in the early spring (200% increase in nocturnal nest predation in March) when nocturnal snake activity is currently limited. Increased nocturnal nest predation can have important demographic consequences beyond nest failure when adult birds on the nest are vulnerable to snakes. Increased temperatures also caused nest predation to increase substantially in forest and forest edge habitats. In a warming world ratsnakes are predicted to use forested habitats more because the thermal heterogeneity of forests buffers snakes against potentially lethal environmental temperatures. If ratsnakes become more concentrated in small forest patches and edges, nest survival in these patches may fall below a sustainable level. Conversely, as temperatures increase, ratsnakes will be less likely to prey on nests in open habitats such as shrublands, which may provide refuges for some nesting birds. Species conservation in a warming world requires understanding how the behavior of both the focal species and its predators are affected.

Suggested Citation

  • DeGregorio, Brett A. & Westervelt, James D. & Weatherhead, Patrick J. & Sperry, Jinelle H., 2015. "Indirect effect of climate change: Shifts in ratsnake behavior alter intensity and timing of avian nest predation," Ecological Modelling, Elsevier, vol. 312(C), pages 239-246.
  • Handle: RePEc:eee:ecomod:v:312:y:2015:i:c:p:239-246
    DOI: 10.1016/j.ecolmodel.2015.05.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015002379
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.05.031?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. Chris D. Thomas & Alison Cameron & Rhys E. Green & Michel Bakkenes & Linda J. Beaumont & Yvonne C. Collingham & Barend F. N. Erasmus & Marinez Ferreira de Siqueira & Alan Grainger & Lee Hannah & Lesle, 2004. "Extinction risk from climate change," Nature, Nature, vol. 427(6970), pages 145-148, January.
    2. Humphrey Q. P. Crick & Caroline Dudley & David E. Glue & David L. Thomson, 1997. "UK birds are laying eggs earlier," Nature, Nature, vol. 388(6642), pages 526-526, August.
    3. John Harte & Annette Ostling & Jessica L. Green & Ann Kinzig, 2004. "Climate change and extinction risk," Nature, Nature, vol. 430(6995), pages 34-34, July.
    4. Ringelman, Kevin M., 2014. "Predator foraging behavior and patterns of avian nest success: What can we learn from an agent-based model?," Ecological Modelling, Elsevier, vol. 272(C), pages 141-149.
    5. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    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. Conor C. Taff & J. Ryan. Shipley, 2023. "Inconsistent shifts in warming and temperature variability are linked to reduced avian fitness," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Camelia Delcea & Liviu-Adrian Cotfas & Carmen Lenuța Trică & Liliana Crăciun & Anca Gabriela Molanescu, 2019. "Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products," Sustainability, MDPI, vol. 11(6), pages 1-32, March.

    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. Henzler, Julia & Weise, Hanna & Enright, Neal J. & Zander, Susanne & Tietjen, Britta, 2018. "A squeeze in the suitable fire interval: Simulating the persistence of fire-killed plants in a Mediterranean-type ecosystem under drier conditions," Ecological Modelling, Elsevier, vol. 389(C), pages 41-49.
    2. Rougier, Thibaud & Drouineau, Hilaire & Dumoulin, Nicolas & Faure, Thierry & Deffuant, Guillaume & Rochard, Eric & Lambert, Patrick, 2014. "The GR3D model, a tool to explore the Global Repositioning Dynamics of Diadromous fish Distribution," Ecological Modelling, Elsevier, vol. 283(C), pages 31-44.
    3. Thurner, Stephanie D & Converse, Sarah J & Branch, Trevor A, 2021. "Modeling opportunistic exploitation: increased extinction risk when targeting more than one species," Ecological Modelling, Elsevier, vol. 454(C).
    4. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    5. Pearce, Joshua M. & Johnson, Sara J. & Grant, Gabriel B., 2007. "3D-mapping optimization of embodied energy of transportation," Resources, Conservation & Recycling, Elsevier, vol. 51(2), pages 435-453.
    6. Andrew John & Avril Horne & Rory Nathan & Michael Stewardson & J. Angus Webb & Jun Wang & N. LeRoy Poff, 2021. "Climate change and freshwater ecology: Hydrological and ecological methods of comparable complexity are needed to predict risk," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(2), March.
    7. John H Matthews & Bart AJ Wickel & Sarah Freeman, 2011. "Converging Currents in Climate-Relevant Conservation: Water, Infrastructure, and Institutions," PLOS Biology, Public Library of Science, vol. 9(9), pages 1-4, September.
    8. Brandt, Laura A. & Benscoter, Allison M. & Harvey, Rebecca & Speroterra, Carolina & Bucklin, David & Romañach, Stephanie S. & Watling, James I. & Mazzotti, Frank J., 2017. "Comparison of climate envelope models developed using expert-selected variables versus statistical selection," Ecological Modelling, Elsevier, vol. 345(C), pages 10-20.
    9. Jorge Velásquez-Tibatá & María H Olaya-Rodríguez & Daniel López-Lozano & César Gutiérrez & Iván González & María C Londoño-Murcia, 2019. "BioModelos: A collaborative online system to map species distributions," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-13, March.
    10. Tasmin L. Rymer & Neville Pillay & Carsten Schradin, 2013. "Extinction or Survival? Behavioral Flexibility in Response to Environmental Change in the African Striped Mouse Rhabdomys," Sustainability, MDPI, vol. 5(1), pages 1-24, January.
    11. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    12. Alexander S Anderson & Collin J Storlie & Luke P Shoo & Richard G Pearson & Stephen E Williams, 2013. "Current Analogues of Future Climate Indicate the Likely Response of a Sensitive Montane Tropical Avifauna to a Warming World," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    13. Di Traglia, Mario & Attorre, Fabio & Francesconi, Fabio & Valenti, Roberto & Vitale, Marcello, 2011. "Is cellular automata algorithm able to predict the future dynamical shifts of tree species in Italy under climate change scenarios? A methodological approach," Ecological Modelling, Elsevier, vol. 222(4), pages 925-934.
    14. Liu, Zhu & Feng, Kuishuang & Hubacek, Klaus & Liang, Sai & Anadon, Laura Diaz & Zhang, Chao & Guan, Dabo, 2015. "Four system boundaries for carbon accounts," Ecological Modelling, Elsevier, vol. 318(C), pages 118-125.
    15. Verboom, Jana & Alkemade, Rob & Klijn, Jan & Metzger, Marc J. & Reijnen, Rien, 2007. "Combining biodiversity modeling with political and economic development scenarios for 25 EU countries," Ecological Economics, Elsevier, vol. 62(2), pages 267-276, April.
    16. Perez, Carlos & Roncoli, Carla & Neely, Constance & Steiner, Jean L., 2007. "Can carbon sequestration markets benefit low-income producers in semi-arid Africa? Potentials and challenges," Agricultural Systems, Elsevier, vol. 94(1), pages 2-12, April.
    17. Koo, Kyung Ah & Patten, Bernard C. & Teskey, Robert O. & Creed, Irena F., 2014. "Climate change effects on red spruce decline mitigated by reduction in air pollution within its shrinking habitat range," Ecological Modelling, Elsevier, vol. 293(C), pages 81-90.
    18. Andressa Duran & Andreas L S Meyer & Marcio R Pie, 2013. "Climatic Niche Evolution in New World Monkeys (Platyrrhini)," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-6, December.
    19. James I Watling & David N Bucklin & Carolina Speroterra & Laura A Brandt & Frank J Mazzotti & Stephanie S Romañach, 2013. "Validating Predictions from Climate Envelope Models," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.
    20. Kaushal, Kevin R. & Navrud, Ståle, 2018. "Global Biodiversity Costs of Climate Change. Improving the damage assessment of species loss in Integrated Assessment Models," Working Paper Series 4-2018, Norwegian University of Life Sciences, School of Economics and Business.

    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:312:y:2015:i:c:p:239-246. 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.