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Factors affecting poaching risk to Vulnerable Andean bears Tremarctos ornatus in the Cordillera de Merida, Venezuela: space, parks and people

机译:委内瑞拉梅里达山脉的脆弱安第斯山熊Tremarctos ornatus偷猎风险的影响因素:空间,公园和人

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Worldwide, many large mammals are threatened by poaching. However, understanding the causes of poaching is difficult when both hunter and hunted are elusive. One alternative is to apply regression models to opportunistically-collected data but doing so without accounting for inherent biases may result in misleading conclusions. To demonstrate a straightforward method to account for such biases, and to guide further research on an elusive Vulnerable species, we visualized spatio-temporal poaching patterns in 844 Andean bear Tremarctos ornatus presence reports from the Cordillera de Merida, Venezuela. To create maps of poaching risk we fitted two logistic regression models to a subset of 287 precisely georeferenced reports, one ignoring and one including spatial autocorrelation. Whereas the variance explained by both models was low, the second had better fit and predictive ability, and indicated that protected status had a significant positive effect on reducing poaching risk. Poaching risk increased at lower altitudes, where all indicators of human disturbance increased, although there was scant evidence that human-bear conflicts are a major direct trigger of poaching events. Because highest-risk areas were different from areas with most bear reports, we speculate that hunting may be driven by opportunistic encounters, rather than by purposeful searches in high-quality bear habitat. Further research comparing risk maps with bear abundance models and data on poaching behaviour will be invaluable for clarifying poaching causes and for identifying management strategies.
机译:在世界范围内,许多大型哺乳动物受到偷猎的威胁。但是,当猎人和被捕者都难以捉摸时,很难理解偷猎的原因。一种替代方法是将回归模型应用于机会收集的数据,但如果不考虑固有偏差,这样做可能会导致误导性结论。为了说明解决此类偏见的简单方法,并指导对一个易受伤害的物种的进一步研究,我们在委内瑞拉梅里达山脉的844只安第斯熊Tremarctos ornatus报告中可视化了时空偷猎模式。为了创建偷猎风险图,我们对287个精确地理参考报告的子集拟合了两个逻辑回归模型,其中一个忽略,而另一个包括空间自相关。两种模型所解释的方差都很低,第二种模型具有更好的拟合度和预测能力,并表明受保护的状态对降低偷猎风险具有明显的积极作用。尽管很少有证据表明人与熊之间的冲突是偷猎事件的直接直接诱因,但在低海拔地区,偷猎风险增加了,所有人类干扰指标都在增加。由于高风险地区与熊熊报告最多的地区不同,我们推测狩猎可能是由机会性相遇驱动的,而不是有目的地在优质熊熊栖息地进行搜索。将风险图与熊的数量模型和偷猎行为数据进行比较的进一步研究,对于弄清偷猎原因和确定管理策略将是无价的。

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