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Hierarchical Multi-Species Modeling of Carnivore Responses to Hunting, Habitat and Prey in a West African Protected Area

机译:西非保护区食肉动物对狩猎,栖息地和猎物的反应的分层多物种建模

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摘要

Protected areas (PAs) are a cornerstone of global efforts to shield wildlife from anthropogenic impacts, yet their effectiveness at protecting wide-ranging species prone to human conflict – notably mammalian carnivores – is increasingly in question. An understanding of carnivore responses to human-induced and natural changes in and around PAs is critical not only to the conservation of threatened carnivore populations, but also to the effective protection of ecosystems in which they play key functional roles. However, an important challenge to assessing carnivore communities is the often infrequent and imperfect nature of survey detections. We applied a novel hierarchical multi-species occupancy model that accounted for detectability and spatial autocorrelation to data from 224 camera trap stations (sampled between October 2006 and January 2009) in order to test hypotheses about extrinsic influences on carnivore community dynamics in a West African protected area (Mole National Park, Ghana). We developed spatially explicit indices of illegal hunting activity, law enforcement patrol effort, prey biomass, and habitat productivity across the park, and used a Bayesian model selection framework to identify predictors of site occurrence for individual species and the entire carnivore community. Contrary to our expectation, hunting pressure and edge proximity did not have consistent, negative effects on occurrence across the nine carnivore species detected. Occurrence patterns for most species were positively associated with small prey biomass, and several species had either positive or negative associations with riverine forest (but not with other habitat descriptors). Influences of sampling design on carnivore detectability were also identified and addressed within our modeling framework (e.g., road and observer effects), and the multi-species approach facilitated inference on even the rarest carnivore species in the park. Our study provides insight for the conservation of these regionally significant carnivore populations, and our approach is broadly applicable to the robust assessment of communities of rare and elusive species subject to environmental change.
机译:保护区(PAs)是全球保护野生动植物免受人为影响的努力的基石,然而,保护区在保护易于发生人类冲突的广泛物种特别是哺乳动物食肉动物方面的有效性日益受到质疑。了解食肉动物对保护区及其周围的人为和自然变化的反应不仅对保护濒危食肉动物种群至关重要,而且对有效保护食肉动物在其中发挥关键功能的生态系统也至关重要。但是,评估食肉动物群落的一个重要挑战是调查发现通常不经常且不完善。为了检验关于外在因素对西非受保护的食肉动物群落动态的外在影响的假设,我们应用了一种新颖的分层多物种居住模型,该模型对来自224个相机诱捕站的数据的可检测性和空间自相关进行了解释(抽样于2006年10月至2009年1月)。地区(加纳莫莱国家公园)。我们在整个公园内开发了非法狩猎活动,执法巡逻力度,猎物生物量和栖息地生产力的空间明确索引,并使用贝叶斯模型选择框架来识别单个物种和整个食肉动物群落发生地点的预测因素。与我们的预期相反,狩猎压力和边缘邻近性对检测到的9种肉食动物物种的发生没有持续的负面影响。大多数物种的发生方式与小型猎物生物量呈正相关,而几种物种与河岸森林呈正相关或负相关(但与其他生境描述不相关)。在我们的建模框架中(例如道路和观察者效应),还确定并解决了采样设计对食肉动物可检测性的影响,而多物种方法甚至可以推论公园中最稀有的食肉动物物种。我们的研究为保护这些具有区域意义的食肉动物种群提供了见识,我们的方法广泛适用于对受环境变化影响的稀有和难以捉摸的物种的群落进行有力的评估。

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