, 2000b). Results indicated that young animals had higher rates of mortality immediately after the spill

than before the spill, but this effect quickly dissipated. The model also indicated that, with time, survival improved (relative to pre-spill) for cohorts of otters that were young at the time of the spill, but declined for middle-aged and older otters. These results were interpreted as indicative of a gradual recovery, due to the eventual loss of these older-aged, debilitated cohorts, but with prolonged spill-related impacts on survival even for otters born after the spill (Monson et al., 2000b and Bodkin et al., 2002). Wee1 inhibitor There was a major incongruity, however, between the results of the modeling and numbers of live otters actually observed: the post-spill carcass collection was primarily from Green Island, where counts of otters (∼180, excluding dependent buy Torin 1 pups) were stable or increasing since 1990 and were equal to or greater than pre-spill levels (Johnson and Garshelis, 1995 and Garshelis and Johnson, 2001). If survival of adult

animals had been declining through time, it must have been compensated for by increased reproduction or immigration in order for total numbers to remain so high. However, such an increase in reproduction or immigration would violate the assumptions of the model; in other words, the model could not explain both the carcass age distribution and the number Adenosine triphosphate of otters living at Green Island. Annual carcass collections were continued over a wide area of WPWS from 1999 to 2008, and the

observed age structure continued to change in a way that suggested prolonged negative effects on survival (Monson et al., 2011). Whereas the proportion of pups among the carcass sample remained fairly stable, the proportion of 2–8 year olds (‘prime age’) increased while the proportion of older otters declined. In an attempt to explain this seeming depression of survival in prime-age otters in the face of a continuing overall increase in the WPWS population, Monson et al. (2011) developed a more complex source–sink model in which otter numbers in one portion of WPWS could be increasing (as observed), while emigrants from that source area supported a population sink, where otters were purportedly dying at a high rate. Monson et al.’s model used data from an unoiled site on Montague Island (Fig. 1) as a source population, and a large portion of WPWS, with variable degrees of past oiling (from none to heavy) as the presumed sink. The model predicted an unchanging sink population of about 900 otters during 1990–2009, supported by a continually growing source population.