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Distribución de primates en Bolivia y áreas prioritarias para su conservación

Tropical Conservation Science (Impact Factor: 1.09). 01/2010; 3:200-217.
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    ABSTRACT: This paper describes a new species of titi monkey, Callicebus aureipalatii, recently discovered in the Madidi protected area of northwestern Bolivia. Descriptions are based on observations, photographs and video material, and the subsequent collec-tion of two specimens. Preliminary surveys and notes on habitat associations indicate that C. aureipalatii is limited in distribution to the western side of the Río Beni. It is found in the Andean foothills and immediately adjacent lowland forests. Line transect studies at four sites and subsequent extrapolations based on available suitable habitat suggest that population densities are suf-fi ciently high to ensure the protection of this species within the confi nes of the Madidi protected area. This fi nding is discussed with reference to the general lack of knowledge regarding titi monkey distributions in Bolivia. Resumen: Este artículo describe una nueva especie de mono tití, Callicebus aureipalatii, recientemente descubierto en el área protegida Madidi en el noroeste de Bolivia. Las descripciones están basada en observaciones, fotografías y video, y la colección resultante de dos especimenes. Evaluaciones preliminares y notas sobre uso de hábitat indican que C. aureipalatii tiene una dis-tribución limitada al oeste del Río Beni. Se encuentra en el pie de monte andino y el bosque de tierras bajas adyacente. Estudios de transectas lineales en cuatro sitios y subsecuentes extrapolaciones basadas en cantidad de hábitat disponible, sugieren que las densidades de población son sufi cientemente altas para asegurar la protección de esta especie dentro de los límites del área protegida Madidi. Este descubrimiento es discutido en referencia a la falta de conocimiento general sobre la distribución de los monos tití en Bolivia.
    Primate Conservation. 01/2006; 20(1).
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    ABSTRACT: RESUMEN A fin de evaluar el impacto de la cacería asociada a actividades madereras, analizamos datos de la fauna cosechada durante el anterior regimen forestal en campamentos forestales de una concesión del Bajo Paraguá. En base a las presas capturadas en 7 campamentos y 83 días de muestreo se estimó el área de cacería y la tasa de cosecha anual de individuos por km2 para las especies más comunes. La tasa de cosecha fue comparada con la cosecha máxima sostenible predicha por el modelo propuesto por Robinson y Redford, encontrándose que la extracción de anta (Tapirus terrestris) y de mutún (Mitu tuberosa) no era sostenible, y la de huaso (Mazama americana) probablemente tampoco. ABSTRACT In order to asses the impact of hunting associated to logging operations, we analyzed the harvest of wildlife in a forestry concession during the old forestry regime. Based on game taken in 7 logging camps and during 83 sampling days we estimated the harvest area and the harvest rate per sq km for the most frequently captured species. Harvest rates were compared with the maximum sustainable yield estimated through Robinson and Redford's model, and indicated that tapir (Tapirus terrestris) and razor billed curassows (Mitu tuberosa) were harvested at unsustainable levels, and probably the same was the case for red brocket deer (Mazama americana). Species vulnerability to hunting supported hunter's reports which indicated these species disappear first on heavily hunted areas. New forestry practices and a better control on harvest might permit sustainably use of some wildlife species in production forests.
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    ABSTRACT: Unbalanced samples are considered a drawback in predictive modelling of species’ potential habitats, and a prevalence of 0.5 has been extensively recommended. We argue that unbalanced species distribution data are not such a problem from a statistical point of view, and that good models can be obtained provided that the right predictors and cut-off to convert probabilities into presence/absence are chosen. The effects of unbalanced prevalence should not be confused with those of low-quality data affected by false absences, low sample size, or unrepresentativeness of the environmental and spatial gradient. Finally, we point out the necessity of greater research effort aimed at improving both the quality of training data sets, and the processes of validating and testing of models.
    Diversity and Distributions 08/2006; 12(5):521 - 524. · 6.12 Impact Factor

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