一个方法框架来描述野生动物和牲畜的界面:西班牙大陆的野猪案例
Carmen Ruiz-Rodríguez1, José A Blanco-Aguiar1, Javier Fernández-López2
1Grupo Sanidad y Biotecnología (SaBio), Instituto de Investigación en Recursos Cinegéticos (IREC), UCLM-CSIC-JCCM, Ciudad Real 13071, Spain.
Preventive veterinary medicine
|July 24, 2024
概括
一个新的框架以高分辨率绘制了野生动物-牲畜接口 (WLI),确定了疾病风险的关键区域,特别是西班牙的非洲猪瘟 (ASF).
科学领域:
- 兽医流行病学 兽医流行病学
- 地理空间分析是什么
- 野生动物生态生态学
背景情况:
- 准确地对野生动物和畜牧界面 (WLI) 的空间表现提出了重大挑战.
- 在流行病学分析中,对于可解释和可对比的视觉结果存在有限的地理空间技术.
研究的目的:
- 开发一个标准化,可扩展的框架来描述和描述WLI跨大空间范围的特征.
- 根据西班牙大陆野猪和养类动物的数量来绘制WLI场景.
主要方法:
- 将野猪狩猎数据和类类动物养殖场的位置合并成六角网格.
- 衍生变量说明重叠的丰度,并执行集群分析来定义WLI场景.
主要成果:
- 一个六角格子有效地代表了WLI在精细的空间分辨率.
- 确定了十五个重叠的关键领域,突出了扩散畜牧业,特别是德赫萨和大西洋地区的风险.
- 突出了西南西班牙广泛的猪生产,作为非洲猪瘟 (ASF) 引入的高风险场景.
结论:
- 开发的空间统计框架为可视化和理解WLI场景提供了基础.
- 这种方法可扩展,可自动化,对于高分辨率的疾病建模和风险评估至关重要.
- 加强预防和控制新出现的疾病的策略,如ASF在国家和国际层面.
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