ArticleScientific reports2019
The use of canid tooth marks on bone for the identification of livestock predation.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Uncovering Human Tooth Marks in the Search for Dog Domestication: The Case of Coímbre Cave.Animals : an open access journal from MDPI · 2025Article
- Computer vision enables taxon-specific identification of African carnivore tooth marks on bone.Scientific reports · 2024Article
- A Genetic Tool to Identify Predators Responsible for Livestock Attacks in South America and Recommendations for Human-Wildlife Conflict Mitigation.Animals : an open access journal from MDPI · 2024Article
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- Post-Mortem Dental Profile as a Powerful Tool in Animal Forensic Investigations-A Review.Animals : an open access journal from MDPI · 2022Review
- Quaternary taphonomy: understanding the past through traces.Scientific reports · 2022Article
- 3D Insights into the Effects of Captivity on Wolf Mastication and Their Tooth Marks; Implications in Ecological Studies of Both the Past and Present.Animals : an open access journal from MDPI · 2021Article
- Developments in data science solutions for carnivore tooth pit classification.Scientific reports · 2021Article
- A 3D taphonomic model of long bone modification by lions in medium-sized ungulate carcasses.Scientific reports · 2021Article
- Do human butchery patterns exist? A study of the interaction of randomness and channelling in the distribution of cut marks on long bones.Journal of the Royal Society, Interface · 2021Article
- Experimental and archaeological data for the identification of projectile impact marks on small-sized mammals.Scientific reports · 2020Article
- A Morphological and Morphometric Dental Analysis as a Forensic Tool to Identify the Iberian Wolf (Animals : an open access journal from MDPI · 2020Article
- Obtaining new resolutions in carnivore tooth pit morphological analyses: A methodological update for digital taphonomy.PloS one · 2020Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Historically wolves and humans have had a conflictive relationship which has driven the wolf to extinction in some areas across Northern America and Europe. The last decades have seen a rise of multiple government programs to protect wolf populations. Nevertheless, these programs have been controversial in rural areas, product of the predation of livestock by carnivores. As a response to such issues, governments have presented large scale economic plans to compensate the respected owners. The current issue lies in the lack of reliable techniques that can be used to detect the predator responsible for livestock predation. This has led to complications when obtaining subsidies, creating conflict between landowners and government officials. The objectives of this study therefore are to provide a new alternative approach to differentiating between tooth marks of different predators responsible for livestock predation. Here we present the use of geometric morphometrics and Machine Learning algorithms to discern between different carnivores through in depth analysis of the tooth marks they leave on bone. These results present high classification rates with up to 100% accuracy in some cases, successfully differentiating between wolves, dogs and fox tooth marks.
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