IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v217y2008i1p197-206.html
   My bibliography  Save this article

How do forage availability and climate control sheep reproductive performance?

Author

Listed:
  • Texeira, Marcos
  • Paruelo, José M.
  • Jobbagy, Esteban

Abstract

Environmental variability affects life history and fitness of both animal and plant species. For herbivores in particular, climate can have strong direct and indirect effects on demography, which tend to exacerbate in arid and semiarid environments with highly seasonal weather. We studied the joint effect of forage conditions, plant phenology, and climate on the reproductive performance of a “model” population: domestic sheep in the Patagonian steppe of Argentina. In this region sheep behave as semi-natural populations and relatively good population records are available. Using linear models and artificial neural networks trained by second order back-propagation methods, we demonstrated that reproductive performance, characterized by the marking rate (number of lambs per ewe), was associated to the timing of growing season start and to the primary production (as estimated from remotely sensed data) at mating. An ANN model including these variables explained 73% of the variability of normalized marking rate, and predicted observed marking rates with an accuracy of 63%. Our results highlight the importance of forage availability as opposed to weather regulating the reproductive performance of sheep at Patagonia, suggesting that bottom-up controls are of dominant importance for these populations. Using artificial neural networks, satellite imagery, and historical productive and climatic records, we disentangled the controls of sheep reproductive performance in a region characterized by weak but consistent relationships between environment and sheep dynamics.

Suggested Citation

  • Texeira, Marcos & Paruelo, José M. & Jobbagy, Esteban, 2008. "How do forage availability and climate control sheep reproductive performance?," Ecological Modelling, Elsevier, vol. 217(1), pages 197-206.
  • Handle: RePEc:eee:ecomod:v:217:y:2008:i:1:p:197-206
    DOI: 10.1016/j.ecolmodel.2008.06.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380008003086
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2008.06.027?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. E. A. Catchpole & B. J. T. Morgan & T. N. Coulson & S. N. Freeman & S. D. Albon, 2000. "Factors influencing Soay sheep survival," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 453-472.
    2. Loeske E. B. Kruuk & Tim H. Clutton-Brock & Steve D. Albon & Josephine M. Pemberton & Fiona E. Guinness, 1999. "Population density affects sex ratio variation in red deer," Nature, Nature, vol. 399(6735), pages 459-461, June.
    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. S. P. Brooks & E. A. Catchpole & B. J. T. Morgan & M. P. Harris, 2002. "Bayesian methods for analysing ringing data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 187-206.
    2. George Seber & Carl Schwarz, 2002. "Capture-recapture: Before and after EURING 2000," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 5-18.
    3. R. King & S. P. Brooks, 2002. "Model Selection for Integrated Recovery/Recapture Data," Biometrics, The International Biometric Society, vol. 58(4), pages 841-851, December.
    4. R. King & S. P. Brooks & T. Coulson, 2008. "Analyzing Complex Capture–Recapture Data in the Presence of Individual and Temporal Covariates and Model Uncertainty," Biometrics, The International Biometric Society, vol. 64(4), pages 1187-1195, December.
    5. S. C. Barry & S. P. Brooks & E. A. Catchpole & B. J. T. Morgan, 2003. "The Analysis of Ring-Recovery Data Using Random Effects," Biometrics, The International Biometric Society, vol. 59(1), pages 54-65, March.
    6. Anne Loison & Bernt-Erik Sæther & Kurt Jerstad & Ole Wiggo Røstad, 2002. "Disentangling the sources of variation in the survival of the European dipper," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 289-304.
    7. S. A. Sisson & Y. Fan, 2009. "Towards automating model selection for a mark–recapture–recovery analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 247-266, May.
    8. R. King & S. P. Brooks & B. J. T. Morgan & T. Coulson, 2006. "Factors Influencing Soay Sheep Survival: A Bayesian Analysis," Biometrics, The International Biometric Society, vol. 62(1), pages 211-220, March.
    9. P. Besbeas & S. N. Freeman & B. J. T. Morgan & E. A. Catchpole, 2002. "Integrating Mark–Recapture–Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters," Biometrics, The International Biometric Society, vol. 58(3), pages 540-547, September.
    10. Besbeas, P.T. & McCrea, R.S. & Morgan, B.J.T., 2022. "Selecting age structure in integrated population models," Ecological Modelling, Elsevier, vol. 473(C).
    11. Ling, Stephen & Milner-Gulland, E.J., 2008. "Developing an artificial ecology for use as a strategic management tool: A case study of ibex hunting in the North Tien Shan," Ecological Modelling, Elsevier, vol. 210(1), pages 15-36.
    12. Texeira, Marcos & Paruelo, Jose M., 2006. "Demography, population dynamics and sustainability of the Patagonian sheep flocks," Agricultural Systems, Elsevier, vol. 87(2), pages 123-146, February.
    13. Diana J. Cole, 2019. "Parameter redundancy and identifiability in hidden Markov models," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 105-118, August.

    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:217:y:2008:i:1:p:197-206. 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.