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Eisaguirre, J.

Publications and source records attributed to Eisaguirre, J..

2 recordsLinked to original sources

The combined impact of killer whale consumptive and non-consumptive effects on northern sea otter population viability in the Western Aleutians Archipelago, Alaska

Predators can alter the abundance, distribution, and behavior of prey populations through consumptive and non-consumptive effects. In the Aleutian Archipelago of Alaska, killer whales (Orcinus orca) are considered the most probable cause of northern sea otter (Enhydra lutris kenyoni) population declines in the southwestern Alaska stock, which led to their listing as a threatened distinct population segment under the Endangered Species Act. Much of the research attention in the Aleutian Archipelago region has focused on the consumptive effects of killer whales on sea otter population dynamics. Here, we explore non-consumptive effects by accounting for restricted sea otter habitat use within discrete predation refuges characterized by areas of shallow, complex reef habitats close to shore. We constructed Population Viability Analysis (PVA) models that incorporated sea otter count data collected by aerial and skiff-based methods over six decades (1959 - 2021) to inform uplisting (to endangered) and downlisting (delisting from ESA) criteria. Our models incorporated both density-dependent effects and density-independent effects on sex and age structure, which we termed predation hazards. Prior to 1990, predation hazards were negligible, fluctuated at high values between 1990 and the early 2000s, and then declined as sea otter populations reached low densities. We estimated a current regional abundance of 2,405 sea otters (95%CI = 1,734 - 3,238) in the Western Aleutians Management Unit. Our base PVA model that considered only inter-island fragmentation indicated the risk of the regional sea otter population becoming endangered was <5% when there were at least 1,500 otters (95%CI = 1,200 - 2,100), and provided a delisting threshold of 2,100 sea otters. A PVA model that accounted for restricted habitat use of sea otters within discrete predation refuges (i.e. inter-island and intra-island fragmentation) indicated a less encouraging potential for sea otter recovery. The probability of the population becoming endangered increased to >10% and the delisting threshold increased to >10,000 sea otters (nearly 5x higher). Our results indicate sea otters within fragmented predation refuges could be more susceptible to the effects of stochastic processes with potentially limited ability for rescue effects. Overall, our research reveals the importance of evaluating both consumptive and non-consumptive effects when considering conservation and management plans for at-risk populations thought to be limited by a predator.

ecology↗

Complex stopover and migratory behavior revealed using mechanistic movement models with environmentally driven dynamic parameters

AstractLong distance migration can increase lifetime fitness, but can be costly, incurring increased energetic expenses and higher mortality risks. Stopover and other en route behaviors allow animals to rest and replenish energy stores and avoid or mitigate other hazards during migration. Some animals, such as soaring birds, can subsidize the energetic costs of migration by extracting energy from flowing air. However, it is unclear how these energy sources affect or interact with behavioral processes and stopover in long-distance soaring migrants. To understand these behaviors and the effects of processes that might enhance use of flight subsidies, we developed a flexible mechanistic model to predict how flight subsidies drive migrant behavior and movement processes. The novel modelling framework incorporated time-varying parameters informed by environmental covariates to characterize a continuous range of behaviors during migration. This model framework was fit to GPS satellite telemetry data collected from a large soaring and opportunist foraging bird, the golden eagle (Aquila chrysaetos), during migration in western North America. Fitted dynamic model parameters revealed a clear circadian rhythm in eagle movement and behavior, which was directly related to thermal uplift. Behavioral budgets were complex, however, with evidence for a joint migrating/foraging behavior, resembling a slower paced fly-and-forage migration, which could facilitate efficient refueling while still ensuring migration progress. In previous work, ecological and foraging conditions are normally considered to be the key aspects of stopover location quality, but taxa that can tap energy sources from moving fluids to drive migratory locomotion, such as the golden eagle, may pace migration based on both foraging opportunities and available flight subsidies.

ecology↗