21 research outputs found

    Parental cooperation in a changing climate: fluctuating environments predict shifts in care division

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    Aim: Parental care improves the survival of offspring and therefore has a major impact on reproductive success. It is increasingly recognized that coordinated biparental care is necessary to ensure the survival of offspring in hostile environments, but little is known about the influence of environmental fluctuations on parental cooperation. Assessing the impacts of environmental stochasticity, however, is essential for understanding how populations will respond to climate change and the associated increasing frequencies of extreme weather events. Here we investigate the influence of environmental stochasticity on biparental incubation in a cosmopolitan ground-nesting avian genus. Location: Global. Methods: We assembled data on biparental care in 36 plover populations (Charadrius spp.) from six continents, collected between 1981 and 2012. Using a space-for-time approach we investigate how average temperature, temperature stochasticity (i.e. year-to-year variation) and seasonal temperature variation during the breeding season influence parental cooperation during incubation. Results: We show that both average ambient temperature and its fluctuations influence parental cooperation during incubation. Male care relative to female care increases with both mean ambient temperature and temperature stochasticity. Local climatic conditions explain within-species population differences in parental cooperation, probably reflecting phenotypic plasticity of behaviour. Main conclusions: The degree of flexibility in parental cooperation is likely to mediate the impacts of climate change on the demography and reproductive behaviour of wild animal populations.</p

    Western Bird Banding Association Annual Meeting

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    Non-breeding distribution, density and population structure of American Avocet (Recurvirostra americana, Gmelin 1789) in Marismas Nacionales, Nayarit, Mexico

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    The Marismas Nacionales wetland system (Nayarit, Mexico) is a Site of International Importance as designated by the Western Hemispheric Shorebird Reserve Network. The American Avocet (Recurvirostra americana) is one of the most numerous shorebirds in the area; nevertheless, there is little information about its overwintering stay at Marismas Nacionales, despite part of the site being decreed as a Biosphere Reserve. In order to clarify some aspects of American Avocet winter ecology, we used transects and scanning sampling method during the winter: to determine distribution and abundance in the Marismas Nacionales (2010-2011), as well as density and population structure in one of the sectors of the Biosphere Reserve (2011-2013). The American Avocet win­tering population in the Biosphere Reserve was calculated to be about 26,000 individuals (5.7% of the world’s population), but approximately 36% of avocet wintering population in Marismas Nacionales was outside of the reserve, also there was a certain preference for some wetlands. Evidence suggests that spring migration starts during the first weeks of March. We observed some spatial segregation between sexes, but our results, although valid, are inconclusive because of difficulties in sexing individuals in the field. In spite of local changes in these wetlands, American Avocet winter population has apparently been relatively stable over the last twenty years. Therefore, Marismas Nacionales remains a key wetland for American Avocet in North America

    The effects of environmental variables on total incubation (%) and female share of incubation (%).

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    <p>Analysis for the full day (0–24 h), daytime (6–18 h) and night (18–6 h) data are shown separately.</p><p><u>Notes.</u></p><p>The full models included time period, ambient temperature, breeding site (mainland, island) and time period × temperature as fixed terms. The effect of temperature was estimated separately for each population by a random slope term. Nest ID was in the models as a random intercept term to control for pseudoreplication. Temperature was a second degree orthogonal polynomial. The significance of each predictor was assessed by eliminating it from the full model and comparing the fit of the two models using likelihood ratio test. Population effect was tested in two ways: (i) by removing the random intercept and slope term from the model, (ii) by replacing the random intercept and slope term with a random intercept term in the full model and removing this term. Temperature was tested by removing temperature, period × temperature and the random slope term for temperature from the model. The slope difference for temperature between populations was tested by removing the random slope term and keeping only the random intercept term in the model. The quadratic effect of temperature was tested by replacing the second degree orthogonal polynomial term with a linear term.</p
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