Status Report on the Wood Turtle, Clemmys Insculpta, in Canada
Status Report on the Wood Turtle, Clemmys Insculpta, in Canada

Author: Jacqueline Danielle Litzgus

Publisher:

Published: 1996

Total Pages: 64

ISBN-13:

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Assesses the conservation status of Clemmys insculpta, the wood turtle, which ranges discontinuously in north-eastern North America and is confined to specific habitats associated with streams. Information is included on the turtle's geographic distribution in Canada and the United States, population size and trends, protection status, habitat, general biology, factors limiting the turtle population size and distribution, and the special significance of the species. Concludes with brief discussion of the current consensus regarding the status of the species and a recommendation for designation of the species as vulnerable.

Developing Species Distribution Models for Wood Turtle (Glyptemys Insculpta) in Atlantic Canada
Developing Species Distribution Models for Wood Turtle (Glyptemys Insculpta) in Atlantic Canada

Author: Thomas Baker

Publisher:

Published: 2022

Total Pages: 0

ISBN-13:

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The wood turtle, Glyptemys insculpta, is listed as threatened federally in Canada and provincially in Nova Scotia (NS) and New Brunswick (NB). Historic surveying for G. insculpta in these provinces has been arbitrary and geographic knowledge gaps persist. To address these gaps, this research developed species distribution models for NS and NB using Maxent software, G. insculpta occurrence data, and environmental data relevant to the species' ecology. Resulting important model variables included 'Elevation', 'Distance to Alder', and 'Watercourse Density'. The model outputs were used to guide field surveys, which recorded G. insculpta occurrences at twelve new sites. In NS, the model output's prediction of G. insculpta distribution overlapped with 80.4% of identified core habitat, but only 4.6% of this predicted distribution was within protected areas. The findings will contribute to conservation of this at-risk species by predicting its distribution, and in doing so, inform future survey efforts and conservation decisions.