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How density-dependence and climate affect guanaco population dynamics

Author

Listed:
  • Zubillaga, María
  • Skewes, Oscar
  • Soto, Nicolás
  • Rabinovich, Jorge E.

Abstract

The guanaco (Lama guanicoe) is one of the two South American native wild camelid species, and despite its important ecological role and economic value conservationists are in a permanent conflict with sheep ranchers. Currently, management programs are being developed in Argentina and Chile to guarantee guanaco and grassland conservation. We developed a non-linear simulation, three stages-structured matrix model of guanaco population dynamics, with climatic and density-dependence effects, that can be used as a tool to devise optimal management interventions. We estimated population parameters using a 41-year time-series data from a guanaco population in Tierra del Fuego (Chile). We conducted a multivariate multiple regression analysis between matrix demographic parameters (survival at each stage and fertility) as dependent variables, and climatic variables and population density as independent variables.

Suggested Citation

  • Zubillaga, María & Skewes, Oscar & Soto, Nicolás & Rabinovich, Jorge E., 2018. "How density-dependence and climate affect guanaco population dynamics," Ecological Modelling, Elsevier, vol. 385(C), pages 189-196.
    • Handle: RePEc:eee:ecomod:v:385:y:2018:i:c:p:189-196
    DOI: 10.1016/j.ecolmodel.2018.07.010
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    References listed on IDEAS

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    1. Andrea Marino & Victoria Rodríguez & Gustavo Pazos, 2016. "Resource-defense polygyny and self-limitation of population density in free-ranging guanacos," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(3), pages 757-765.
    2. Marie Laure Delignette-Muller & Christophe Dutang, 2015. "fitdistrplus : An R Package for Fitting Distributions," Post-Print hal-01616147, HAL.
    3. Delignette-Muller, Marie Laure & Dutang, Christophe, 2015. "fitdistrplus: An R Package for Fitting Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i04).
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