4.3 Article

Buzzing with possibilities: Training and olfactory generalization in conservation detection dogs for an endangered stonefly species

期刊

出版社

WILEY
DOI: 10.1002/aqc.3531

关键词

invertebrates; new techniques; rare species; riparian; stream; survey

资金

  1. La Trobe University [GR 2000003070]
  2. La Trobe University Securing Food, Water, and the Environment Research Focus Area

向作者/读者索取更多资源

Professionally trained conservation detection dogs have shown great potential in detecting the endangered Alpine stonefly, with the ability to also exhibit olfactory generalization to closely related species. This pilot study highlights the effectiveness of volunteer CDD/handler teams in locating rare and cryptic invertebrates in the field.
Professionally trained conservation detection dogs (CDDs) are taught to locate biological targets, including cryptic and low-density plant and animal species, but have been largely underused in acknow detecting endangered invertebrates. This pilot study assessed the ability of four volunteer CDD/handler teams to detect the endangered Alpine stonefly (Eustheniidae: Thaumatoperla alpina). Once trained, all teams identified 100% of the targets when present in container line-up searches, with no false alerts. In the field, all available dog-handler teams (n = 3) alerted to the presence of numerous T. alpina individuals, including individuals that were not seen by experienced visual surveyors. Three of the four CDDs also spontaneously alerted (i.e. exhibited olfactory generalization) to a closely related species, the Stirling stonefly (Thaumatoperla flaveola), in an initial container search. These preliminary results demonstrate that volunteer dog-handler teams can be trained to detect T. alpina in situ. In addition, CDDs may be able to perform olfactory generalization effectively: from detecting a commonly occurring species to detecting a closely related, rare, or cryptic species.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据