Published January 11, 2021 | Version v1
Dataset Open

Detection dogs in nature conservation: a database on their worldwide deployment with a review on breeds used and their performance compared to other methods

  • 1. Helmholtz Centre for Environmental Research
  • 2. Leibniz Institute for Zoo and Wildlife Research

Description

Over the last century, dogs have been increasingly used to detect rare and elusive species or traces of them. The use of wildlife detection dogs (WDD) is particularly well established in North America, Europe and Oceania, and projects deploying them have increased worldwide. However, if they are to make a significant contribution to conservation and management, their strengths, abilities, and limitations should be fully identified. We reviewed the use of WDD with particular focus on the breeds used in different countries and for various targets, as well as their overall performance compared to other methods, by developing and analysing a database of 1220 publications, including 916 scientific ones, covering 2464 individual cases - most of them (1840) scientific. With the worldwide increase in the use of WDD, associated tasks have changed and become much more diverse. Since 1930, reports exist for 62 countries and 407 animal, 42 plant, 26 fungi and 6 bacteria species. Altogether, 108 FCI-classified and 20 non-FCI-classified breeds have worked as WDD. While certain breeds have been preferred on different continents and for specific tasks and targets, they were not generally better suited for detection tasks than others. Overall, WDD usually worked more effectively than other monitoring methods. For each species group, regardless of breed, detection dogs were better than other methods in 88.71% of all cases and only worse in 0.98%. It was only for arthropods that Pinshers and Schnauzers performed worse than other breeds. For mono- and dicotyledons, detection dogs did less often outperform other methods. Although every breed can be trained as a WDD, choosing the most suitable dog for the task and target may speed up training and increase the chance of success. Albeit selection of the most appropriate WDD is important, excellent training, knowledge about the target density and suitability, and a proper study design all appeared to have the highest impact on performance. Moreover, an appropriate area, habitat and weather are crucial for detection dog work. When these factors are taken into consideration, WDD can be an outstanding monitoring method.

Notes

This relational database was created in Microsoft Access 2013. It contains five basic tables (literature, dog breeds, target species, target types and countries) and one main table (Study). The basic tables and the main table are connected through unique identifier (IDs). Any potential query can be built with this structure.

We included a few pre-defined queries:

Query_Breed_Human_comparison – A summary about which breed was better or not than any other method for which species
Query_Number_of_dogs_breed – A list of how many dogs have been used per breed
Query_Target_Species_Publications – A list of all target species and the publications mentioning them
Query_Type_of_Source_Continent – A list of all publications by continent separated by type of source
Query_Type_of_Source_Year – A chronological list of all publications separated by type of source
Query_Year_Continent – A chronological list of all publications separated by continent

Note that double-mentioning is possible, e.g. when publications mention several continents.

The main query is called Target Species Query. It contains all 2465 single cases (based on the main table, Study) and all information connected to it.

We encourage usage or extensions of the database but kindly ask to cite our original data properly.  

Files

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