IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0148743.html
   My bibliography  Save this article

Wolf Lethal Control and Livestock Depredations: Counter-Evidence from Respecified Models

Author

Listed:
  • Niraj Poudyal
  • Nabin Baral
  • Stanley T Asah

Abstract

We replicated the study conducted by Wielgus and Peebles (2014) on the effect of wolf mortality on livestock depredations in Montana, Wyoming and Idaho states in the US. Their best models were found to be misspecified due to the omission of the time index and incorrect functional form. When we respecified the models, this replication failed to confirm the magnitude, direction and often the very existence of the original results. Wielgus and Peebles (2014) reported that the increase in the number of wolves culled the previous year would increase the expected number of livestock killed this year by 4 to 6%. But our results showed that the culling of one wolf the previous year would decrease the expected number of cattle killed this year by 1.9%, and the expected number of sheep killed by 3.4%. However, for every wolf killed there is a corresponding 2.2% increase in the expected number of sheep killed in the same year. The increase in sheep depredation appears to be a short term phenomenon.

Suggested Citation

  • Niraj Poudyal & Nabin Baral & Stanley T Asah, 2016. "Wolf Lethal Control and Livestock Depredations: Counter-Evidence from Respecified Models," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-8, February.
    • Handle: RePEc:plo:pone00:0148743
    DOI: 10.1371/journal.pone.0148743
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148743
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0148743&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0148743?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
    ---><---

    References listed on IDEAS

    as
    1. Spanos, Aris, 2010. "Statistical adequacy and the trustworthiness of empirical evidence: Statistical vs. substantive information," Economic Modelling, Elsevier, vol. 27(6), pages 1436-1452, November.
    2. Robert B Wielgus & Kaylie A Peebles, 2014. "Effects of Wolf Mortality on Livestock Depredations," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-16, December.
    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. Lyudmyla Kompaniyets & Marc A Evans, 2017. "Modeling the relationship between wolf control and cattle depredation," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.

    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. Hanck, Christoph, 2011. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," Economic Modelling, Elsevier, vol. 28(4), pages 1739-1746, July.
    2. Aris Spanos, 2016. "Transforming structural econometrics: substantive vs. statistical premises of inference," Review of Political Economy, Taylor & Francis Journals, vol. 28(3), pages 426-437, July.
    3. Salvati, Luca & Carlucci, Margherita, 2015. "Towards sustainability in agro-forest systems? Grazing intensity, soil degradation and the socioeconomic profile of rural communities in Italy," Ecological Economics, Elsevier, vol. 112(C), pages 1-13.
    4. Widman, Marit & Elofsson, Katarina, 2018. "Costs of Livestock Depredation by Large Carnivores in Sweden 2001 to 2013," Ecological Economics, Elsevier, vol. 143(C), pages 188-198.
    5. David J. Hand, 2022. "Trustworthiness of statistical inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 329-347, January.
    6. Aris Spanos, 2021. "Yule–Simpson’s paradox: the probabilistic versus the empirical conundrum," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 605-635, June.
    7. Aris Spanos, 2022. "Statistical modeling and inference in the era of Data Science and Graphical Causal modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1251-1287, December.
    8. Lyudmyla Kompaniyets & Marc A Evans, 2017. "Modeling the relationship between wolf control and cattle depredation," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    9. Francisco Estrada & Víctor Guerrero & Carlos Gay-García & Benjamín Martínez-López, 2013. "A cautionary note on automated statistical downscaling methods for climate change," Climatic Change, Springer, vol. 120(1), pages 263-276, September.
    10. Alberto Fernández-Gil & Javier Naves & Andrés Ordiz & Mario Quevedo & Eloy Revilla & Miguel Delibes, 2016. "Conflict Misleads Large Carnivore Management and Conservation: Brown Bears and Wolves in Spain," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-13, March.
    11. Aris Spanos, 2023. "Revisiting the Large n (Sample Size) Problem: How to Avert Spurious Significance Results," Stats, MDPI, vol. 6(4), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0148743. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.