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Targeting hunter distribution based on host resource selection and kill sites to manage disease risk

机译:根据宿主资源的选择来确定猎人的分布并杀死站点以管理疾病风险

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摘要

Endemic and emerging diseases are rarely uniform in their spatial distribution or prevalence among cohorts of wildlife. Spatial models that quantify risk-driven differences in resource selection and hunter mortality of animals at fine spatial scales can assist disease management by identifying high-risk areas and individuals. We used resource selection functions (RSFs) and selection ratios (SRs) to quantify sex- and age-specific resource selection patterns of collared (n = 67) and hunter-killed (n = 796) nonmigratory elk (Cervus canadensis manitobensis) during the hunting season between 2002 and 2012, in southwestern Manitoba, Canada. Distance to protected area was the most important covariate influencing resource selection and hunter-kill sites of elk (AICw = 1.00). Collared adult males (which are most likely to be infected with bovine tuberculosis (Mycobacterium bovis) and chronic wasting disease) rarely selected for sites outside of parks during the hunting season in contrast to adult females and juvenile males. The RSFs showed selection by adult females and juvenile males to be negatively associated with landscape-level forest cover, high road density, and water cover, whereas hunter-kill sites of these cohorts were positively associated with landscape-level forest cover and increasing distance to streams and negatively associated with high road density. Local-level forest was positively associated with collared animal locations and hunter-kill sites; however, selection was stronger for collared juvenile males and hunter-killed adult females. In instances where disease infects a metapopulation and eradication is infeasible, a principle goal of management is to limit the spread of disease among infected animals. We map high-risk areas that are regularly used by potentially infectious hosts but currently underrepresented in the distribution of kill sites. We present a novel application of widely available data to target hunter distribution based on host resource selection and kill sites as a promising tool for applying selective hunting to the management of transmissible diseases in a game species.
机译:地方性和新兴疾病的空间分布或流行率在野生动植物群中很少一致。在精细的空间尺度上量化风险驱动的资源选择差异和猎人死亡率的空间模型可以通过识别高风险区域和个体来辅助疾病管理。我们使用资源选择函数(RSF)和选择比率(SR)来量化领地(n = 67)和猎人猎杀(n = 796)非迁徙麋鹿(Cervus canadensis manitobensis)在性别和年龄方面的特定资源选择模式。加拿大曼尼托巴西南部2002年至2012年之间的狩猎季节。到保护区的距离是影响麋鹿资源选择和猎人猎杀地点的最重要协变量(AICw = 1.00)。与成年雌性和成年雄性成年动物相比,在狩猎季节期间很少选择在公园以外的地点领成年的成年雄性(最有可能感染牛结核病(牛分枝杆菌)和慢性消耗性疾病)。 RSFs显示成年雌性和幼年雄性的选择与景观级森林覆盖率,高道路密度和水覆盖率呈负相关,而这些队列中的猎人猎杀点与景观级森林覆盖率和距森林的距离增加呈正相关溪流,并与高密度公路产生负面影响。地方级森林与衣领动物的位置和猎人猎杀的地点呈正相关。但是,对于衣领少年和被猎杀的成年雌性,选择更为严格。在疾病感染的情况下,无法实现种群的根除和根除,管理的主要目标是限制疾病在受感染动物中的传播。我们绘制了高风险区域的地图,这些区域通常由潜在的感染宿主使用,但在杀伤点的分布中目前所占比例不足。我们提出了一种广泛应用的数据,以基于主机资源的选择为目标的猎人分布,并杀死了站点,将其作为一种有前途的工具,用于将选择性狩猎应用于游戏物种中的传播性疾病的管理。

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