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Modeling the impact of road mortality on barn owl (Tyto alba) populations using age-structured models

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  • Borda-de-Água, Luís
  • Grilo, Clara
  • Pereira, Henrique M.

Abstract

Road mortality affects natural populations worldwide. Although the effects of road mortality are often documented, studies assessing the impact of road mortality on the viability of the affected populations are not so common. In fact, road mortality data are often limited to a small number of years from which it is difficult to build statistical models to assess the impact of road mortality on population trends, including the probability of extinction. In the last decades several studies have reported a considerable decline in barn owl (Tyto alba) populations attributed mainly to land use change and to the expansion of the road network to accommodate traffic growth. For instance, road monitoring programs show high road mortality rates ranging from 0.07 owls/km/year to 2.61 owls/km/year. We developed a stochastic, age-structured model to evaluate the impact of road-kills on barn owl populations and their risk of extinction. Using this model we identified the range of parameters that are most likely to apply to a population in southern Portugal and assessed how road mortality has affected this population. Three important results are: the number of individuals of the barn owl population exhibits high intra and inter-annual variability, even an annual road mortality rate of 5% reduces barn owl populations to half of their original size, and probability of extinction increases dramatically when annual road mortality exceeds 30% and it is largely independent of the original population size. Although simulations seem to show that road mortality is still below the values for which there is risk of extinction, we recommend authorities to closely monitor the owls’ numbers temporal trends and to take the necessary measures to reduce road mortality.

Suggested Citation

  • Borda-de-Água, Luís & Grilo, Clara & Pereira, Henrique M., 2014. "Modeling the impact of road mortality on barn owl (Tyto alba) populations using age-structured models," Ecological Modelling, Elsevier, vol. 276(C), pages 29-37.
    • Handle: RePEc:eee:ecomod:v:276:y:2014:i:c:p:29-37
    DOI: 10.1016/j.ecolmodel.2013.12.022
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    References listed on IDEAS

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    1. Walter Isard, 1975. "A Simple Rationale For Gravity Model Type Behavior," Papers in Regional Science, Wiley Blackwell, vol. 35(1), pages 25-30, January.
    2. Clara Grilo & Joana Sousa & Fernando Ascensão & Hugo Matos & Inês Leitão & Paula Pinheiro & Monica Costa & João Bernardo & Dyana Reto & Rui Lourenço & Margarida Santos-Reis & Eloy Revilla, 2012. "Individual Spatial Responses towards Roads: Implications for Mortality Risk," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-11, September.
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    Cited by:

    1. Ceia-Hasse, Ana & Navarro, Laetitia M. & Borda-de-Água, Luís & Pereira, Henrique M., 2018. "Population persistence in landscapes fragmented by roads: Disentangling isolation, mortality, and the effect of dispersal," Ecological Modelling, Elsevier, vol. 375(C), pages 45-53.
    2. Marques, Ana Teresa & Crispim-Mendes, Tiago & Palma, Luís & Pita, Ricardo & Moreira, Francisco & Beja, Pedro, 2024. "Using individual-based demographic modelling to estimate the impacts of anthropogenic mortality on territorial predators," Ecological Modelling, Elsevier, vol. 493(C).
    3. Mestre, F. & Ascensão, F. & Barbosa, A.M., 2019. "gDefrag: A graph-based tool to help defragmenting landscapes divided by linear infrastructures," Ecological Modelling, Elsevier, vol. 392(C), pages 1-5.

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