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Factors influencing guanaco distribution in southern Argentine Patagonia and implications for its sustainable use

机译:影响阿根廷巴塔哥尼亚南部驼鸟分布的因素及其可持续利用的意义

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The Guanaco (Lama guanicoe) has suffered a progressive decline in numbers because of unregulated hunting and poaching by an assumed competition with sheep. Inadequate livestock management, including keeping sheep numbers above carrying capacity, has led to a degradation of the Patagonian steppe. Recently, interest has grown towards a reduction in sheep density and diversification of extractive activities. Guanaco populations could be potentially amenable to a number of sustainable uses. Our aim was to investigate the factors that determine guanaco distribution in southern Argentine Patagonia and to generate a predictive cartography at the regional scale. We hypothesized that guanaco distribution could be determined by primary productivity, terrain ruggedness, human disturbance and poaching, and competition with livestock. Guanaco surveys were performed from vehicles using a road survey method. To analyze the relationship between guanaco occurrence and potential predictors we built Generalized Additive Models (GAMs) using a binomial error and a logistic link. We found that guanaco occurrence increased in the less productive and remote areas, far from cities and oil camps, and decreased in regions with high sheep density. These results suggest that guanacos tend to occur where human pressure is lower. One way to promote guanaco conservation would be to highlight the economic value of guanacos under the regulations imposed by a sustainable exploitation of their populations. The predictive models developed here could be a useful tool for the implementation of conservation and management programs at the regional scale.
机译:由于与绵羊的竞争,无意识的狩猎和偷猎使瓜纳科(Lama guanicoe)的数量逐渐减少。牲畜管理不善,包括使绵羊数量超过承载能力,已导致巴塔哥尼亚草原的退化。最近,人们对降低绵羊密度和开展多种采伐活动的兴趣日益浓厚。瓜纳科人的数量可能潜在地适于许多可持续利用。我们的目的是调查确定阿根廷南部巴塔哥尼亚地区的骆驼科动物分布的因素,并在区域范围内生成预测性制图。我们假设可以根据原始生产力,地形的坚固性,人为干扰和偷猎以及与牲畜的竞争来决定骆驼的分布。使用道路测量方法从车辆上进行了瓜纳科测量。为了分析鸟粪的发生与潜在预测因素之间的关系,我们使用二项式误差和逻辑联系建立了通用加性模型(GAM)。我们发现,在生产力较低的偏远地区,远离城市和石油营地的驼鸟发生率增加了,而在绵羊密度高的地区则减少了。这些结果表明,在人的压力较低的地方往往会发生鬣蜥。促进骆驼科动物保护的一种方法是强调根据可持续利用其种群所制定的法规对骆驼科动物的经济价值。此处开发的预测模型可能是在区域范围内实施保护和管理计划的有用工具。

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