The Ecology of the Wood Turtle (Glyptemys insculpta) in the Eastern Panhandle of West Virginia

2015 ◽  
Vol 22 (2) ◽  
pp. 387-402 ◽  
Author(s):  
Jessica Curtis ◽  
Peter Vila
Keyword(s):  
West Virginia ◽  
Glyptemys Insculpta ◽  
Wood Turtle

Characterizing Wood Turtle (Glyptemys insculpta) Populations at the Northwestern Periphery of the Species' Range in Canada

2018 ◽  
Vol 25 (4) ◽  
pp. 571-586
Author(s):  
Jennifer Cross ◽  
Robert Cross ◽  
Derek Chartrand ◽  
Dean G. Thompson
Keyword(s):  
Species Range ◽  
Glyptemys Insculpta ◽  
Wood Turtle

Home Range, Site Fidelity, and Movement Patterns of the Wood Turtle (Glyptemys insculpta) at the Southwestern Edge of Its Range

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Joshua G. Otten ◽  
Austin C. Hulbert ◽  
Samuel W. Berg ◽  
Jeffrey W. Tamplin
Keyword(s):  
Home Range ◽  
Site Fidelity ◽  
Movement Patterns ◽  
Glyptemys Insculpta ◽  
Wood Turtle

scholarly journals Survey methodology for the detection of Wood Turtles (Glyptemys insculpta)

2013 ◽  
Vol 127 (3) ◽  
pp. 216 ◽  
Author(s):  
Melissa Flanagan ◽  
Vanessa Roy-McDougall ◽  
Graham Forbes ◽  
Glen Forbes
Keyword(s):  
Survey Methodology ◽  
Population Monitoring ◽  
Time Of Day ◽  
Canadian Forces ◽  
Glyptemys Insculpta ◽  
Environmental Impact Assessments ◽  
Terrestrial Environments ◽  
Wood Turtles ◽  
Significant Factors ◽  
Wood Turtle

Wood Turtles (Glyptemys insculpta) are difficult to survey because their use of aquatic and terrestrial environments varies spatio-temporally. Existing survey methodology is highly variable and typically involves searching for Wood Turtles within water and on land 0 to >20 m from the shoreline from spring to autumn. The mobility of Wood Turtles suggests that detection is likely influenced by distance surveyed from water and the amount of vegetation, which varies by season. To determine an ideal survey methodology for the Wood Turtle, we recorded distances from a waterway of 31 radio-tagged turtles at Canadian Forces Base, Gagetown, New Brunswick, in 2003 and 2004. Ordinal logistic regression was used to determine the probability of finding male or female Wood Turtles with increasing distance from water at different times of day or season. Sex and time of day were not significant factors in detecting Wood Turtles. Season was a significant factor, with highest probability (69%) of finding Wood Turtles at a distance of 0–10 m of a waterway up to July 1 (corresponding to pre-nesting and nesting periods), compared to probabilities of <10% for any 10-m distance between 10 m and 50 m from a waterway. After July 1, the highest detection probability (50%) was at distances greater than 50 m from a waterway. We recommend that Wood Turtle surveys for environmental impact assessments and population monitoring be conducted on warm days (i.e., 10–25°C) within 10 m of waterways up to July 1.

Movement Ecology of the Imperiled Wood Turtle (Glyptemys insculpta) in a Lower Hudson River Watershed

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Jason S. Hagani ◽  
Suzanne K. MaCey ◽  
John D. Foley ◽  
Chad L. Seewagen
Keyword(s):  
Movement Ecology ◽  
Hudson River ◽  
River Watershed ◽  
Glyptemys Insculpta ◽  
Wood Turtle

scholarly journals GPS Technology for Semi-Aquatic Turtle Research

Diversity ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 34 ◽  
Author(s):  
Madaline Cochrane ◽  
Donald Brown ◽  
Ron Moen
Keyword(s):  
Success Rate ◽  
Spatial Ecology ◽  
Moving Average ◽  
Directional Bias ◽  
Daily Movement ◽  
Glyptemys Insculpta ◽  
Closed Canopy ◽  
Hiding Behavior ◽  
Wood Turtles ◽  
Wood Turtle

Global positioning system (GPS) telemetry units are now small enough to be deployed on terrestrial and semi-aquatic turtles. Many of these GPS units use snapshot technology which collects raw satellite and timestamp data during brief periods of data recording to minimize size. We evaluated locations from snapshot GPS units in stationary tests and on wood turtles (Glyptemys insculpta) in northeastern Minnesota. Stationary GPS units were placed in wood turtle habitat to evaluate location accuracy, fix success rate, and directional bias. The GPS fix success rate and accuracy were reduced in closed canopy conditions and when the stationary GPS unit was placed under a log to simulate wood turtle hiding behavior. We removed GPS location outliers and used a moving average calculation to reduce mean location error in stationary tests from 27 m (SD = 38) to 10 m (SD = 8). We then deployed GPS units and temperature loggers on wood turtles and collected 122,657 GPS locations and 242,781 temperature readings from 26 turtles from May to September 2015 and 2016. Location outliers accounted for 12% of locations when the GPS receiver was on a turtle. We classified each wood turtle location based on the GPS location and by comparing temperature profiles from river, sun, and shaded locations to the temperature logger on the turtle. We estimated that wood turtles were on land 68% (SD = 12) of the time from May to September. The fix success rate for land locations was 38% (SD = 9), indicating that wood turtles often use habitats with obstructed views of the sky. Mean net daily movement was 55 m (SD = 192). Our results demonstrate that snapshot GPS units and temperature loggers provide fine-scale GPS data useful in describing spatial ecology and habitat use of semi-aquatic turtles.

scholarly journals Concurrent visual encounter sampling validates eDNA selectivity and sensitivity for the endangered wood turtle (Glyptemys insculpta)

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215586 ◽  
Author(s):  
Thomas S. Akre ◽  
Lillian D. Parker ◽  
Ellery Ruther ◽  
Jesus E. Maldonado ◽  
Lorien Lemmon ◽  
...  
Keyword(s):  
Glyptemys Insculpta ◽  
Wood Turtle
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