一种多学科的方法来估计长期保护的狼群规模
Francesca Marucco1, Maria V Boiani2, Pierre Dupont3
1Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy.
概括
在意大利阿尔卑斯山,精确的狼 (Canis lupus) 种群估计是使用大型遗传监测系统实现的. 这项研究为保护和人狼共存战略提供了关键数据.
科学领域:
- 野生动物生态生态学
- 保护生物学 保护生物学
- 人口遗传学 人口遗传学
背景情况:
- 狼 (Canis lupus) 是一个有争议的物种,需要准确的丰度数据来进行知情的公共辩论和政策.
- 在生物相关的尺度上估计野生动物种群存在重大挑战.
研究的目的:
- 在意大利阿尔卑斯山区开发和实施一套全面的狼群估计系统.
- 为了产生可靠的估计狼的丰富和繁殖单位,超越行政界限.
- 为野生动物监测提供一个可扩展的模型,可以为保护实践提供信息.
主要方法:
- 来自160个机构的1513名受过培训的操作人员组成的协调网络,协助收集遗传样本.
- 景观层面的空间捕获-重新捕获分析被用于人口估计.
- 监测工作的空间估计是为了解决公民科学数据的局限性.
主要成果:
- 狼群的数量估计为952只 (95% CI: 816-1120).
- 估计有135个繁殖单位 (包裹) (95% CI:112-165).
- 成熟的个体占狼群总数的33-45%.
结论:
- 这项研究证明了对狼群监测的有效,大规模,协调的方法.
- 这些发现通过强大的丰度数据和保护实践支持狼人和人类的共存.
- 该方法克服了公民科学的局限性,并为野生动物管理提供了有价值的模型.
关键词:
捕捉-重新捕捉空间肉食大人的肉食大者公民科学 公民科学公民科学是公民科学.检测不完美的检测基因采样 基因采样不完美的检测检测不完善的检测大型食肉动物的大型食肉动物这是一个人口模型.监控 监控 监控监控 监控 监控 监控 监控 监控这是一种遗传性样.人口建模的人口建模.空间捕获-重新捕获不完全检测 不完全检测公民科学 公民科学大型食肉动物 大型食肉动物监测 监测 监测种群模型 种群模型空间标记 重捕的标志遗传样本 遗传样本更多相关视频
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