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2 resultados encontrados para: AUTOR: Hernández Sarabia, Raúl Uriel
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Primates adjust movement strategies due to changing food availability
Reyna Hurtado, Rafael Ángel (autor) ; Teichroeb, Julie A. (autora) ; Bonnell, Tyler R. (autor) ; Hernández Sarabia, Raúl Uriel (autor) ; Vickers, Sofia M. (autora) ; Serio Silva, Juan Carlos (autor) ; Sicotte, Pascale (autora) ; Chapman, Colin A. (autor) ;
Disponible en línea
Contenido en: Behavioral Ecology Behavioral Ecology Vol. 29, no. 2 (March-April 2018), p. 368–376 ISSN: 1465-7279
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Resumen en: Inglés |
Resumen en inglés

Animals are hypothesized to search their environments in predictable ways depending on the distribution of resources. Evenly distributed foods are thought to be best exploited with random Brownian movements; while foods that are patchy or unevenly distributed require non-Brownian strategies, such as Lévy walks. Thus, when food distribution changes due to seasonal variation, animals should show concomitant changes in their search strategies. We examined this issue in 6 monkey species from Africa and Mexico: 3 frugivores and 3 folivores. We hypothesized that the more patchily distributed fruit would result in frugivores showing more levy-like patterns of motion, while folivores, with their more homogenous food supply, would show Brownian patterns of motion. At least 3 and up to 5 of 6 species conformed to the overall movement pattern predicted by their primary dietary item. For folivorous black howler monkeys (Alouatta pigra), ursine colobus (Colobus vellerosus), and red colobus (Procolobus rufomitratus), Brownian movement was supported or could not be ruled-out. Two frugivores (spider monkeys, Ateles geoffroyi yucatanensis, and gray-cheeked mangabeys, Lophocebus albigena) showed Lévy walks, as predicted, but frugivorous vervet monkeys (Chlorocebus pygerythrus) showed a Brownian walk. Additionally, we test whether seasonal variation in the spatial availability of food support environmentally driven changes in movement patterns. Four of 5 species tested for seasonal variation showed adjustments in their search strategies between the rainy and dry seasons. This study provides support for the notion that food distribution determines search strategies and that animal movement patterns are flexible, mirroring changes in the environment.

- Artículo con arbitraje
Analysing small-scale aggregation in animal visits in space and time: the ST-BBD method
Bonnell, Tyler R. ; Dutilleul, Pierre (coaut.) ; Chapman, Colin A. (coaut.) ; Reyna Hurtado, Rafael Ángel (coaut.) ; Hernández Sarabia, Raul Uriel (coaut.) ; Sengupta, Raja (coaut.) ;
Contenido en: Animal Behaviour Vol. 85, no. 2 (February 2013), p. 483–492 ISSN: 0003-3472
Resumen en: Inglés |
Resumen en inglés

Movement behaviour plays an important role in many ecological interactions. As animals move through the environment, they generate movement patterns, which are a combined result of landscape characteristics and species-specific behaviour. Measuring these ranging patterns is being facilitated by technological advances in collection methods, such as GPS collars, that are capturing movement on finer spatial and temporal scales. We propose the use of a novel spatiotemporal analytical framework (ST-BBD), based on the beta-binomial distribution (BBD) model, to measure small-scale aggregation in animal movement data sets, including two simulated and three collected primate data sets. We use this approach to distinguish different habitat uses of three primate species (red colobus, Procolobus rufomitratus, black howler, Alouatta pigra, and spider monkey, Ateles geoffroyi) and quantify their specific use of the landscape in space and in time, using a parameter of the BBD that measures the variation in sites visited on a landscape. We found that estimates of aggregation in habitat use were higher in the frugivorous spider monkey, compared to the more folivorous howler monkey, and that in the red colobus, aggregation in site visits was dependent on group size and food availability. Applications of this framework to animal movement data could be useful in understanding ecological systems where habitat use is an important factor, such as the relationships between hosts and parasites, or parent plants and seed dispersers.