马来西亚半岛的克朗山谷自由流浪犬种群和密度:一个比较的计数方法,以改善管理和控制狂犬病
Yunusa Adamu Wada1, Mazlina Mazlan2, Mustapha M Noordin3
1Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor 43400 UPM, Malaysia; Department of Zoology, Faculty of Life Sciences, Ahmadu Bello University, Zaria, Kaduna state 810001 ABU, Nigeria.
Preventive veterinary medicine
|April 20, 2025
概括
准确的自由流浪犬种群估计对于公共卫生至关重要. 这项在克朗谷的研究使用了视力复视方法,发现检测概率模型是有效的狗群管理和狂犬病控制中最精确的.
科学领域:
- 兽医公共卫生 兽医公共卫生
- 野生动物生态生态学
- 城市生态城市生态学
背景情况:
- 管理自由流浪狗种群是一个重大的全球公共卫生挑战,特别是在城市环境中.
- 准确的人口数据对于制定有效的狂犬病控制和预防策略至关重要.
研究的目的:
- 为了估计在半岛马来西亚的克朗山谷自由流浪的狗种群.
- 为了比较不同分析模型的精度,使用摄影视视度-直视度方法进行人口估计.
主要方法:
- 在Klang谷的五个地区和15个城镇中采用了摄影视觉视觉视觉方法.
- 收集了有关狗的目击,恢复,GPS位置,所有权,年龄和环境因素的数据.
- 应用了五种人口估计模型,包括林肯-彼得森,施纳贝尔,贝利,查普曼和检测概率模型.
主要成果:
- 总共记录了599只狗 (492次观测,107次恢复),总体检测概率为0.38.
- 根据方法,人口估计差异很大,从初步估计的818到1407,从总体估计的23,120到33,340.
- 检测概率模型提供了最精确的估计 (2.39%的精度),通过计算检测偏差,超过了其他模型.
结论:
- 检测概率模型对于在复杂的城市环境中准确估计自由流浪狗种群的优势.
- 狗的密度受到种族和环境因素的影响,需要定制的管理策略.
- 准确的种群数据对于有效的狗种群管理和狂犬病控制计划的信息至关重要.
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