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Forensic Application of Stable Isotopes to Distinguish between Wild and Captive Turtles
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Wildlife traffickers often claim that confiscated animals were captive-bred rather than wild-caught to launder wild animals and escape prosecution. We used stable isotopes (δ13C and δ15N) derived from the claw tips of wild wood turtles from Maine and captive wood turtles throughout the eastern U.S. to develop a predictive model used to classify confiscated wood turtles as wild or captive. We found that the claw tips of wild and captive wood turtles (Glyptemys insculpta) were isotopically distinct. Captive turtles had significantly higher δ13C and δ15N values than wild turtles. Our model correctly classified all wild turtles as wild (100%) and nearly all captive turtles as captive (94%). All but two of the 71 turtles tested were successfully predicted as wild or captive (97.2% accuracy), yielding a misclassification rate of 2.8%. In addition to our model being useful to law enforcement in Maine, we aim to develop a multi-species model to assist conservation law enforcement efforts to curb illegal turtle trafficking from locations across the eastern United States and Canada.
Title: Forensic Application of Stable Isotopes to Distinguish between Wild and Captive Turtles
Description:
Wildlife traffickers often claim that confiscated animals were captive-bred rather than wild-caught to launder wild animals and escape prosecution.
We used stable isotopes (δ13C and δ15N) derived from the claw tips of wild wood turtles from Maine and captive wood turtles throughout the eastern U.
S.
to develop a predictive model used to classify confiscated wood turtles as wild or captive.
We found that the claw tips of wild and captive wood turtles (Glyptemys insculpta) were isotopically distinct.
Captive turtles had significantly higher δ13C and δ15N values than wild turtles.
Our model correctly classified all wild turtles as wild (100%) and nearly all captive turtles as captive (94%).
All but two of the 71 turtles tested were successfully predicted as wild or captive (97.
2% accuracy), yielding a misclassification rate of 2.
8%.
In addition to our model being useful to law enforcement in Maine, we aim to develop a multi-species model to assist conservation law enforcement efforts to curb illegal turtle trafficking from locations across the eastern United States and Canada.
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