East Greenland and Barents Sea polar bears (Ursus maritimus): adaptive variation between two populations using skull morphometrics as an indicator of environmental and genetic differences.
A morphometric study was conducted on four skull traits of 37 male and 18 female adult East Greenland polar bears (Ursus maritimus) collected 1892-1968, and on 54 male and 44 female adult Barents Sea polar bears collected 1950-1969. The aim was to compare differences in size and shape of the bear skulls using a multivariate approach, characterizing the variation between the two populations using morphometric traits as an indicator of environmental and genetic differences. Mixture analysis testing for geographic differentiation within each population revealed three clusters for Barents Sea males and three clusters for Barents Sea females. East Greenland consisted of one female and one male cluster. A principal component analysis (PCA) conducted on the clusters defined by the mixture analysis, showed that East Greenland and Barents Sea polar bear populations overlapped to a large degree, especially with regards to females. Multivariate analyses of variance (MANOVA) showed no significant differences in morphometric means between the two populations, but differences were detected between clusters from each respective geographic locality. To estimate the importance of genetics and environment in the morphometric differences between the bears, a PCA was performed on the covariance matrix derived from the skull measurements. Skull trait size (PC1) explained approx. 80% of the morphometric variation, whereas shape (PC2) defined approx. 15%, indicating some genetic differentiation. Hence, both environmental and genetic factors seem to have contributed to the observed skull differences between the two populations. Overall, results indicate that many Barents Sea polar bears are morphometrically similar to the East Greenland ones, suggesting an exchange of individuals between the two populations. Furthermore, a subpopulation structure in the Barents Sea population was also indicated from the present analyses, which should be considered with regards to future management decisions.
Genetics and Ecology, Department of Biological Sciences, Aarhus University, Aarhus, Denmark.
Cino
C
Pertoldi
Christian
C
Sonne
Øystein
Ø
Wiig
Hans J
HJ
Baagøe
Volker
V
Loeschcke
Thea Østergaard
TØ
Bechshøft
D000222:Adaptation, Physiological; D000818:Animals; D016000:Cluster Analysis; D004777:Environment; D005260:Female; D005828:Genetics, Population; D006116:Greenland; D008297:Male; D015999:Multivariate Analysis; D011156:Population Density; D025341:Principal Component Analysis; D012886:Skull / Q000033:anatomy & histology* / Q000502:physiology; D001503:Ursidae / Q000033:anatomy & histology / Q000145:classification / Q000235:genetics* / Q000502:physiology