The Hair Scale Identification Guide to Terrestrial Mammalian Carnivores of Canada
Notice bibliographique
Résumé
Why is hair identification important? Besides just being fun and enriching to wildlife watchers, hair can serve as a passive tool to determine the presence–absence of species in a particular area (Suarez-Tangill and Rodriguez 2021). Hair can be used for many studies involving the life history of carnivores such as determining prey mammals being consumed near den sites. Hair can be easily collected and is often found where mammals are living and can be obtained as evidence in wildlife enforcement cases and to determine predation (Pasitschniak-Arts and Messier 1995). Officers and forensics specialists need to have the ability to determine identity quickly without need for DNA analysis so that hair can be properly preserved, and chain of evidence established. Despite impressions to the contrary on TV, DNA analysis is not easily and cheaply acquired for law enforcement; therefore, less expensive identification is important. Previous hair scale identification guides such as Adorjan and Kolenosky (1969) and Moore et al. (1974) are either not always accessible, especially to wildlife managers and law enforcement personnel, or are out of print and not easily obtained. The more recent key by Debelica and Thies (2009) is internet accessible but may not be easily located. A variety of hair keys have been published in scientific journals, such as Normandeau et al. (2018), but may not be accessible to conservation agency staff and enforcement officers that lack access to scientific journals. In addition, all currently published guides have geographic specificity. For example, there are guides specific to Ontario (Adorjan and Kolenosky 1969), Wyoming (Moore et al. 1974), Texas (Debelica Thies 2009), and the Rocky Mountains (Normandeau et al. 2018). This new guide by Kestler (2022) adds an accessible reference that improves upon existing publications and covers a large geographic range. This volume makes available a guide that provides color images of pelage, which is a feature absent for other hair scale keys, as well as gray-scale images of hair scales. Color range maps also help to limit the species to consider to those likely present in the area where the hair was found. The guide provides a detailed description of making hair impressions and how they are photographed. Citizen scientists and naturalists may be limited in their ability to do this because of the need for a light microscope with a camera. The other materials needed are widely available and not expensive. Mammalogists, wildlife managers, and wildlife enforcement personnel would likely have access to this equipment in a laboratory. Additional features in the book include a key to hair scales that distinguishes imbricate and coronal scales. Since all Canadian carnivore species have imbricate scales, only the five types of imbricate scales need to be considered for identification. There is also a summary of scale types (Appendix 1, p. 77) that is very useful and a series of comparisons between Felidae and Mustelidae (Appendix 2, p. 78–80). The species covered in Kestler (2022) are the seven species of Canidae, three species of Felidae, two species of Mephitidae, 10 Mustelidae, one Procyonidae, and three Ursidae. There is no distinction between Gray (Canis lupus) and Eastern Wolf (C. lycaon; Heppenheimer et al. 2018). For those in the United States, the guide does not include two Canidae, three tropical Felidae, three Mephitidae, one Mustelidae, and two Procyonidae. Each species account includes the species common name, scientific name, scale type, gross description of the pelage with a photograph, key characteristics of the scales, and names of similar species. There is, as noted above, a range map, and there are 50× and 200× photographs of hair scales. Overall, the book is concise, well-organized, and useful within the limits already noted. Its size, 80 pages, 21.6 × 14.0 cm, will fit nicely in a shoulder bag, coat pocket, or gear box to take into the field, or you can put it on a shelf in the lab near the microscope. The cover and pages are coated paper so that it should be reasonably weather-resistant or suitable for use in a lab. Considering the cost of specialized books and these features, the price is reasonable. Among those that I recommend purchase this book are mammalogists, wildlife managers, wildlife enforcement officers, wildlife forensics specialists, and anyone interested in nature and identifying carnivore hair.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,285 | 0,138 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».