IDEAS home Printed from https://ideas.repec.org/a/oup/beheco/v30y2019i4p883-893..html
   My bibliography  Save this article

Manipulated sex ratios alter group structure and cooperation in the brown-headed nuthatch

Author

Listed:
  • James A Cox
  • Jessica A Cusick
  • Emily H DuVal

Abstract

A biased adult sex ratio (ASR) can influence cooperative breeding behavior if the bias limits mating opportunities for the more abundant sex. We tested predictions associated with the ASR-cooperation hypothesis in the brown-headed nuthatch (Sitta pusilla). We manipulated ASR by cross-fostering known-sex nestlings within 2 large (≥100 ha) experimental plots for 5 years using a crossover design where each plot received an opposing male- or female-biased treatment for 2 consecutive years. A year with no manipulations followed before the bias was reversed on each plot for 2 additional years. Variation in ASR (adult males/total adults) was pronounced compared to background proportions (0.55) and ranged from a female bias in female-biased plots (0.47) to a strong male bias in male-biased plots (0.71). Sex ratios during the postbreeding period ranged more broadly (0.33 in female-biased plots vs. 0.74 in male-biased plots). Territory densities did not change significantly and allowed 6 predictions to be assessed. Consistent with predictions, the prevalence of cooperative breeding groups doubled under male-biased treatments and large cooperative groups appeared (≥2 male helpers vs. the single male helper most common prior to the experiment). These changes occurred despite increased dispersal of cross-fostered males in male-biased plots. Most juvenile females dispersed, but, consistent with predictions, the prevalence of female helpers increased under female-biased treatments. Manipulations did not alter the sex of nestlings produced nor extend the time that males served as helpers. Taken collectively, results support the ASR-cooperation hypothesis and the role that mate limitations play in cooperative breeding behavior. Life is short. Why should any animal gamble away a chance to breed and help other individuals breed instead? Mate shortages could be 1 reason such behavior occurs. We tested this proposition by manipulating male and female availability in a small songbird. Female shortages yielded unusually large groups with nonbreeding male helpers. Male shortages led to more females willing to do the same. The study provided new insights on the long-studied phenomena of cooperative breeding.

Suggested Citation

  • James A Cox & Jessica A Cusick & Emily H DuVal, 2019. "Manipulated sex ratios alter group structure and cooperation in the brown-headed nuthatch," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(4), pages 883-893.
  • Handle: RePEc:oup:beheco:v:30:y:2019:i:4:p:883-893.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/beheco/arz030
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Ben Halliwell & Tobias Uller & Barbara R. Holland & Geoffrey M. While, 2017. "Live bearing promotes the evolution of sociality in reptiles," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
    2. Stuart P. Sharp & Andrew McGowan & Matthew J. Wood & Ben J. Hatchwell, 2005. "Learned kin recognition cues in a social bird," Nature, Nature, vol. 434(7037), pages 1127-1130, April.
    3. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    Full references (including those not matched with items on IDEAS)

    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. Paulus, Anne & Hagemann, Nina & Baaken, Marieke C. & Roilo, Stephanie & Alarcón-Segura, Viviana & Cord, Anna F. & Beckmann, Michael, 2022. "Landscape context and farm characteristics are key to farmers' adoption of agri-environmental schemes," Land Use Policy, Elsevier, vol. 121(C).
    2. Ameztegui, Aitor & Coll, Lluís & Messier, Christian, 2015. "Modelling the effect of climate-induced changes in recruitment and juvenile growth on mixed-forest dynamics: The case of montane–subalpine Pyrenean ecotones," Ecological Modelling, Elsevier, vol. 313(C), pages 84-93.
    3. Grün, Bettina & Kosmidis, Ioannis & Zeileis, Achim, 2012. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i11).
    4. Jillian M Rung & Leonard H Epstein, 2020. "Translating episodic future thinking manipulations for clinical use: Development of a clinical control," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    5. Quamrul Ashraf & Oded Galor, 2013. "The 'Out of Africa' Hypothesis, Human Genetic Diversity, and Comparative Economic Development," American Economic Review, American Economic Association, vol. 103(1), pages 1-46, February.
    6. Zhang, Dengjun & Xie, Yifan, 2022. "Customer environmental concerns and profit margin: Evidence from manufacturing firms," Journal of Economics and Business, Elsevier, vol. 120(C).
    7. Buntaine, Mark T., 2011. "Does the Asian Development Bank Respond to Past Environmental Performance when Allocating Environmentally Risky Financing?," World Development, Elsevier, vol. 39(3), pages 336-350, March.
    8. Yukako Sado-Inamura & Kensuke Fukushi, 2018. "Considering Water Quality of Urban Rivers from the Perspectives of Unpleasant Odor," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    9. Ann-Jean C C Beck & Jacobien M Kieffer & Valesca P Retèl & Lydia F J van Overveld & Robert P Takes & Michiel W M van den Brekel & Wim H van Harten & Martijn M Stuiver, 2019. "Mapping the EORTC QLQ-C30 and QLQ-H&N35 to the EQ-5D for head and neck cancer: Can disease-specific utilities be obtained?," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    10. Aarón Garavito & Ana María Iregui & María Teresa Ramírez, 2014. "An Empirical Examination of the Determinants of Foreign Direct Investment: A Firm-Level Analysis for the Colombian Economy," Revista de Economía del Rosario, Universidad del Rosario, June.
    11. Li-Chu Chien, 2013. "Multiple deletion diagnostics in beta regression models," Computational Statistics, Springer, vol. 28(4), pages 1639-1661, August.
    12. Zichen Ma & Shannon W. Davis & Yen‐Yi Ho, 2023. "Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments," Biometrics, The International Biometric Society, vol. 79(2), pages 1559-1572, June.
    13. Dengjun Zhang, 2022. "Capacity utilization under credit constraints: A firm‐level study of Latin American manufacturing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1367-1386, January.
    14. Carlos Mendez & John Bachtler, 2017. "Financial Compliance in the European Union: A Cross-National Assessment of Financial Correction Patterns and Causes in Cohesion Policy," Journal of Common Market Studies, Wiley Blackwell, vol. 55(3), pages 569-592, May.
    15. Jodrá, P. & Jiménez-Gamero, M.D., 2016. "A note on the Log-Lindley distribution," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 189-194.
    16. Zamparini, Luca & Vergori, Anna Serena, 2021. "Sustainable mobility at tourist destinations: The relevance of habits and the role of policies," Journal of Transport Geography, Elsevier, vol. 93(C).
    17. Liu, Chenhui & Lu, Chaoru & Wang, Shefang & Sharma, Anuj & Shaw, John, 2019. "A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 456-467.
    18. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
    19. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).
    20. Frank A. La Sorte & Alison Johnston & Toby R. Ault, 2021. "Global trends in the frequency and duration of temperature extremes," Climatic Change, Springer, vol. 166(1), pages 1-14, May.

    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:oup:beheco:v:30:y:2019:i:4:p:883-893.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/beheco .

    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.