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Influences of temperature and time on habitat use patterns of a semi-aquatic turtle

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DataONE2025-10-27 更新2025-11-01 收录
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Many ectothermic vertebrates have predictable seasonal activity and habitat use patterns, but variable patterns at fine temporal scales (e.g., minutes to days) that are likely influenced by thermoregulatory demands on behavior. Wood turtles (Glyptemys insculpta) are freshwater turtles known to use terrestrial environments during their active period. However, little research has been conducted to quantify the influence of environmental factors on diel habitat use patterns. We used fine-resolution global positioning system (GPS) tracking and temperature data to quantify wood turtle aquatic-terrestrial habitat-use patterns from May through August 2015 and 2016, focusing on the influence of temporal variables and environmental temperature. We found that temporal variables and open canopy air temperature had strong explanatory power for wood turtle aquatic-terrestrial habitat use patterns, but temperature was a stronger predictor. Terrestrial activity was positively associated with air tempe..., , # Influences of temperature and time on habitat use patterns of a semi-aquatic turtle Dataset DOI: [10.5061/dryad.cvdncjthb](https://doi.org/10.5061/dryad.cvdncjthb) ## Description of the data and file structure We used fine-resolution GPS tracking and temperature data to quantify wood turtle aquatic-terrestrial habitat-use patterns from May through August 2015 and 2016, focusing on the influence of temporal variables and environmental temperature ### Files and variables #### File: temp_smoothing.R **Description:** Code to identify and replace outliers in temperature data. #### File: wt_habitatuse_glmm.R **Description:** Code to create GLMMs to predict habitat use of wood turtles using temporal variables #### File: wt_temp_glmm.R **Description:** Code to create GLMMs to predict habitat use using temperature #### File: daily_temps.csv **Description:** Daily temperature values from a nearby weather station. ##### Variables * Date: Day of the year * Time: Time of day * Temp: ...,
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2025-10-28
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