Status, trends, and equilibrium abundance estimates of the translocated sea otter population in Washington State

被引:3
作者
Hale, Jessica R. [1 ]
Laidre, Kristin L. [1 ]
Jeffries, Steven J. [2 ]
Scordino, Jonathan J. [3 ]
Lynch, Deanna [4 ]
Jameson, Ronald J. [5 ]
Tinker, M. Tim [6 ]
机构
[1] Univ Washington, Sch Aquat & Fishery Sci, 1122 NE Boat St, Seattle, WA 98105 USA
[2] Washington Dept Fish & Wildlife, Wildlife Sci Program, Marine Mammal Invest, 7801 Phillips Rd SW, Lakewood, WA 98498 USA
[3] Marine Mammal Program, Makah Fisheries Management, 150 Resort Dr, Neah Bay, WA 98357 USA
[4] US Fish & Wildlife Serv, Washington Fish & Wildlife Off, 510 Desmond Dr,Suite 102, Lacey, WA 98503 USA
[5] US Geol Survey, Western Ecol Res Ctr, 7801 Folsom Blvd,Suite 101, Sacramento, CA 95826 USA
[6] Nhydra Ecol Consulting, Head Of St Margarets Bay, NS, Canada
关键词
Bayesian; carrying capacity; density dependence; Enhydra lutris kenyoni; equilibrium abundance; population status; population trend; sea otter; state-space; Washington State; STAGE SIMULATION ANALYSIS; CARRYING-CAPACITY; SENSITIVITY-ANALYSIS; RANGE EXPANSION; USE PATTERNS; HOME-RANGE; MODEL; HABITAT; SPECIALIZATION; CONSERVATION;
D O I
10.1002/jwmg.22215
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
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相关论文
共 87 条
[1]  
[Anonymous], 2001, Interdisciplinary Applied Mathematics
[2]  
Bodkin JL, 2015, SEA OTTER CONSERVATION, P43, DOI 10.1016/B978-0-12-801402-8.00003-2
[3]   Age- and sex-specific mortality and population structure in sea otters [J].
Bodkin, JL ;
Burdin, AM ;
Ryazanov, DA .
MARINE MAMMAL SCIENCE, 2000, 16 (01) :201-219
[4]   Foraging depths of sea otters and implications to coastal marine communities [J].
Bodkin, JL ;
Esslinger, GG ;
Monson, DH .
MARINE MAMMAL SCIENCE, 2004, 20 (02) :305-321
[5]   Population demographics and genetic diversity in remnant and translocated populations of sea otters [J].
Bodkin, JL ;
Ballachey, BE ;
Cronin, MA ;
Scribner, KT .
CONSERVATION BIOLOGY, 1999, 13 (06) :1378-1385
[6]  
Bowlby C E., 1988, Sea otters in Washington: distribution, abundance, and activity patterns
[7]   Predicting animal home-range structure and transitions using a multistate Ornstein-Uhlenbeck biased random walk [J].
Breed, Greg A. ;
Golson, Emily A. ;
Tinker, M. Tim .
ECOLOGY, 2017, 98 (01) :32-47
[8]  
Burn Douglas M., 2003, Northwestern Naturalist, V84, P145, DOI 10.2307/3536541
[9]   Sudden collapse of a mesopredator reveals its complementary role in mediating rocky reef regime shifts [J].
Burt, Jenn M. ;
Tinker, M. Tim ;
Okamoto, Daniel K. ;
Demes, Kyle W. ;
Holmes, Keith ;
Salomon, Anne K. .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2018, 285 (1883)
[10]  
Carswell LP, 2015, SEA OTTER CONSERVATION, P333, DOI 10.1016/B978-0-12-801402-8.00012-3