Data from: A case for considering individual variation in diel activity patterns ...
There is a growing recognition of the role of individual variation in patterns emerging at higher levels of biological organization. Despite the importance of the temporal configuration of ecological processes and patterns, intraspecific individual variation in diel activity patterns is almost never...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2017
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.67fn1 https://datadryad.org/stash/dataset/doi:10.5061/dryad.67fn1 |
| Summary: | There is a growing recognition of the role of individual variation in patterns emerging at higher levels of biological organization. Despite the importance of the temporal configuration of ecological processes and patterns, intraspecific individual variation in diel activity patterns is almost never accounted for in behavioral studies at the population level. We used individual-based monitoring data from 98 GPS-collared brown bears in Scandinavia to estimate diel activity patterns before the fall hunting season. We extracted 7 activity measures related to timing and regularity of activity from individual activity profiles. We then used multivariate analysis to test for the existence of distinct activity tactics and their environmental determinants, followed by generalized linear regression to estimate the extent of within-individual repeatability of activity tactics. We detected 4 distinct activity tactics, with a high degree of individual fidelity to a given tactic. Demographic factors, availability of key ... : ActivityDistance based categorization of successive half hour relocation intervals of all individuals as active (1) or passive (0). dist = straight line distance between locations, Sample_ID = Disguised Bear ID, Sample Year = Disguised Sample Year (1 – 7, 2007 - 2013), Sample_Bearyear = Identifier for a given bear being sampled in a given year. To protect ongoing publication efforts x/y coordinates and actual BearIdentifications have been removed.ExtractedActivityDensCoefEstimates of activity density as a function of time of day (timeRad) for each Sample Bearyear.TimeRad = time in radians; ActivityDensity = estimated activity denisty extracted from denisty curves constructed using the function "densityPlot" from the overlap package (Meredeith & Ridout 2014); AverageCoef = Average Activity Density; Coef_Dev = Deviation from the average density coefficient. Negative numbers indicate that the individual was more often inactive than active at the given time, positive values that the individual was more often ... |
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