Refining aging criteria for northern sea otters in Washington State
Measurement of skull ossification patterns is a standard method for aging various mammalian species and has been used to age sea otters Enhydra lutris from Russia, California, and Alaska. Cementum annuli counts have also been verified as an accurate aging method for sea otters in Alaska. In this study, we compared cementum annuli count results and skull ossification patterns as methods for aging the northern sea otter, E. l. kenyoni, in Washington State. We found significant agreement between the two methods, suggesting that either method could be used to age sea otters in Washington. We found that ossification of the squamosal–jugal suture at the ventral glenoid fossa can be used to differentiate male subadults from adults. To assist field biologists or others without access to cementum annuli or skull ossification analysis techniques, we analyzed a suite of morphologic, physiologic, and developmental characteristics to assess whether a set of these more easily accessible parameters could also predict age class. We identified tooth condition score, evidence of reproductive activity in females, and tooth eruption pattern as the most useful criteria for classifying sea otters in Washington. We created a simple decision tree based on characteristics accessible in the field or at necropsy, which can be used to reliably predict age class of Washington sea otters as determined by cementum annuli. These techniques offer field biologists and marine mammal stranding networks a replicable, cost-conscious methodology to gather useful biological information from sea otters.
Citation Information
Publication Year | 2018 |
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Title | Refining aging criteria for northern sea otters in Washington State |
DOI | 10.3996/052017-JFWM-040 |
Authors | Krysten L. Schuler, Bridget B. Baker, Karl A. Mayer, Carolina Perez-Heydrich, Paula M. Holahan, Nancy J. Thomas, C. LeAnn White |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Fish and Wildlife Management |
Index ID | 70196202 |
Record Source | USGS Publications Warehouse |
USGS Organization | National Wildlife Health Center |