Status, trends, and equilibrium abundance estimates of the translocated sea otter population in Washington State. Issue 4 (28th March 2022)

• Record Type: Journal Article
• Authors: Hale, Jessica R.; Laidre, Kristin L.; Jeffries, Steven J.; Scordino, Jonathan J.; Lynch, Deanna; Jameson, Ronald J.; Tim Tinker, M.
• Is Part Of: Journal of wildlife management. Volume 86:Issue 4(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-28
• Subjects: Bayesian -- carrying capacity -- density dependence -- Enhydra lutris kenyoni -- equilibrium abundance -- population status -- population trend -- sea otter -- state‐space -- Washington State; Wildlife management -- Periodicals; Zoology -- Periodicals; 333.954
• DOI: 10.1002/jwmg.22215
• Languages: English
• ISSNs: 0022-541X

Abstract

Abstract: Sea otters ( Enhydra lutris kenyoni ) historically occurred in Washington State, USA, until their local extinction in the early 1900s as a result of the maritime fur trade. Following their extirpation, 59 sea otters were translocated from Amchitka Island, Alaska, USA, to the coast of Washington, with 29 released at Point Grenville in 1969 and 30 released at La Push in 1970. The Washington Department of Fish and Wildlife has outlined 2 main objectives for sea otter recovery: a target population level and a target geographic distribution. Recovery criteria are based on estimates of population abundance, equilibrium abundance ( K ), and geographic distribution; therefore, estimates of these parameters have important management implications. We compiled available survey data for sea otters in Washington State since their translocation (1977–2019) and fit a Bayesian state‐space model to estimate past and current abundance, and equilibrium abundance at multiple spatial scales. We then used forward projections of population dynamics to explore potential scenarios of range recolonization and as the basis of a sensitivity analysis to evaluate the relative influence of movement behavior, frontal wave speed, intrinsic growth, and equilibrium density on future population recovery potential. Our model improves upon previous analyses of sea otter population dynamics in Washington by partitioning and quantifying sources of estimation error to estimate population dynamics, by providing robust estimates of K, and by simulating long‐term population growth and range expansion under a range of realistic parameter values. Our model resulted in predictions of population abundance that closely matched observed counts. At the range‐wide scale, the population size in our model increased from an average of 21 independent sea otters (95% CI = 13–29) in 1977 to 2, 336 independent sea otters (95% CI = 1, 467–3, 359) in 2019. The average estimated annual growth rate was 12.42% and varied at a sub‐regional scale from 6.42–14.92%. The overall estimated mean K density of sea otters in Washington was 1.71 ± 0.90 (SD) independent sea otters/km 2 of habitat (1.96 ± 1.04 sea otters/km 2, including pups), and estimated densities within the current range correspond on average to 87% of mean sub‐regional equilibrium values (range = 66–111%). The projected value of K for all of Washington was 5, 287 independent sea otters (95% CI = 2, 488–8, 086) and 6, 080 sea otters including pups (95% CI = 2, 861–9, 300), assuming a similar range of equilibrium densities in currently un‐occupied habitats. Sensitivity analysis of simulations of sea otter population growth and range expansion suggested that mean K density estimates in currently occupied sub‐regions had the largest impact on predicted future population growth ( r 2 = 0.52), followed by the rate of southward range expansion ( r 2 = 0.26) and the mean K density estimate of currently unoccupied sub‐regions to the south of the current range ( r 2 = 0.04). Our estimates of abundance and sensitivity analysis of simulations of future population abundance and geographic range help determine population status in relation to population recovery targets and identify the most influential parameters affecting future population growth and range expansion for sea otters in Washington State. Abstract : We fit a Bayesian state‐space model to available survey data (1977–2019) of sea otters in Washington, USA, to estimate past, current, and expected abundance, and expected distribution, and found that equilibrium abundance is higher than previously estimated and mean equilibrium density estimates in the currently occupied range have the largest impact on predicted future population growth. Our estimates of equilibrium abundance and range recolonization help determine population status in relation to population recovery targets and our sensitivity analysis helps identify the most influential parameters affecting future population growth and range expansion for sea otters in Washington.