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Risk assessment and management of brucellosis in the southern greater Yellowstone area (I): A citizen-science based risk model for bovine brucellosis transmission from elk to cattle

机译:大黄石南部地区布鲁氏菌病的风险评估和管理(上):基于公民科学的牛布鲁氏菌病从麋鹿传播到牛的风险模型

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摘要

Livestock producers and state wildlife agencies have used multiple management strategies to control bovine brucellosis in the Greater Yellowstone Area (GYA). However, spillover from elk to domestic bison and cattle herds continues to occur. Although knowledge is increasing about the location and behavior of elk in the SGYA, predicting spatiotemporal overlap between elk and cattle requires locations of livestock operations and observations of elk contact by producers. We queried all producers in a three-county area using a questionnaire designed to determine location of cattle and whether producers saw elk comingle with their animals. This information was used to parameterize a spatially-explicit risk model to estimate the number of elk expected to overlap with cattle during the brucellosis transmission risk period. Elk-cattle overlap was predicted in areas further from roads and forest boundaries in areas with wolf activity, with higher slopes, lower hunter densities, and where the cost-distance to feedgrounds was very low or very high. The model was used to estimate the expected number of years until a cattle reactor will be detected, under alternative management strategies. The model predicted cattle cases every 4.28 years in the highest risk herd unit, a higher prediction than the one case in 26 years we have observed. This difference likely indicates that ongoing management strategies are at least somewhat effective in preventing potential elk-cattle brucellosis transmission in these areas.
机译:牲畜生产者和州野生动植物保护机构已采用多种管理策略来控制大黄石地区(GYA)的牛布鲁氏菌病。但是,从麋鹿到家养野牛和牛群的溢出仍在继续。尽管关于SGYA中麋鹿的位置和行为的知识正在增加,但预测麋鹿和牛之间的时空重叠需要牲畜养殖的地点和生产者对麋鹿接触的观察。我们使用旨在确定牛的位置以及生产者是否看到麋鹿与动物相撞的问卷调查了三县区的所有生产者。该信息用于对空间明确的风险模型进行参数化,以估计在布鲁氏菌病传播风险期间预期与牛重叠的麋鹿数量。在有狼活动,高坡度,低猎人密度和距饲料场的成本距离非常低或非常高的地区,距道路和森林边界较远的地区预计会发生麋鹿与牛的重叠。在替代管理策略下,该模型用于估计直至发现牛反应堆的预期年限。该模型以最高风险牧群单位每4.28年预测一次牛病例,比我们观察到的26年中的一个病例预测值更高。这种差异可能表明,目前的管理策略至少在某种程度上有效地预防了这些地区潜在的麋牛布氏杆菌病传播。

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