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首页> 外文期刊>The Journal of Applied Ecology >Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: Wolves in the Italian Alps
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Predicting spatio-temporal recolonization of large carnivore populations and livestock depredation risk: Wolves in the Italian Alps

机译:预测的时空开拓殖民地食肉动物人口和牲畜破坏风险:狼在意大利阿尔卑斯山

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Wolves Canis lupus recently recolonized the Western Alps through dispersal from the Italian Apennines, representing one of several worldwide examples of large carnivores increasing in highly human-dominated landscapes. Understanding and predicting expansion of this population is important for conservation because of its direct impact on livestock and its high level of societal opposition. We built a predictive, spatially explicit, individual-based model to examine wolf population expansion in this fragmented landscape, and livestock depredation risk. We developed the model based on known demographic processes, social structure, behaviour and habitat selection of wolves collected during a 10-year intensive field study of this wolf population. During model validation, our model accurately described the recolonization process within the Italian Alps, correctly predicting wolf pack locations, pack numbers and wolf population size, between 1999 and 2008. We then projected packs and dispersers over the entire Italian Alps for 2013, 2018 and 2023. We predicted 25 packs (95% CI: 19-32) in 2013, 36 (23-47) in 2018 and 49 (29-68) in 2023. The South-Western Alps were the main source for wolves repopulating the Alps from 1999 to 2008. The source area for further successful dispersers will probably shift to the North-Western Alps after 2008, but the large lakes in the Central Alps will probably act as a spatial barrier slowing the wolf expansion. Using the pack presence forecasts, we estimated spatially explicit wolf depredation risk on livestock, allowing tailored local and regional management actions. Synthesis and applications. Our predictive model is novel because we follow the spatio-temporal dynamics of packs, not just population size, which have substantially different requirements and impacts on wolf-human conflicts than wandering dispersers. Our approach enables prioritization of management efforts, including minimizing livestock depredations, identifying important corridors and barriers, and locating future source populations for successful wolf recolonization of the Alps.
机译:狼狼最近开始重新回来了通过传播意大利阿尔卑斯山脉西部亚平宁山脉,代表全球的几个之一大型食肉动物的例子在高度增加人类控制的景观。预测的人口扩张重要的保护,因为它直接对牲畜和其高水平的影响社会的反对。空间明确,基于单独的模型检查狼人口膨胀支离破碎的景观,和牲畜破坏风险。人口过程、社会结构行为和栖息地选择的狼10年期间收集的密集的野外研究本狼的数量。我们的模型准确描述了开拓殖民地正确处理在意大利阿尔卑斯山预测狼群的位置、数量和包装狼人口规模,1999年和2008年之间。然后将包和传播者2013年整个意大利阿尔卑斯山脉,2018年和2023年。预计25包(95%置信区间CI: 19-32)在2013年,36(23-47)在2018年和2023年49(29 - 68)。西南阿尔卑斯山脉的主要来源狼重新繁衍阿尔卑斯山从1999年到2008年。源领域进一步成功的作用可能会转向西北阿尔卑斯山吗2008年之后,但在中央大湖泊阿尔卑斯山脉可能会作为一个空间障碍狼放缓扩张。存在的预测,我们估计空间明确的狼破坏风险牲畜,允许定制的地方和区域管理行动。因为我们按照预测模型是小说时空动态包,不仅人口规模,大大不同的需求和对wolf-human的影响比流浪的冲突的作用。使优先级的管理工作,包括减少牲畜破坏,识别重要的走廊和障碍,定位未来人口来源成功阿尔卑斯山的狼开拓殖民地。

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