Activity Number:
|
90
- Invited EPoster Session
|
Type:
|
Invited
|
Date/Time:
|
Sunday, July 28, 2019 : 8:30 PM to 10:30 PM
|
Sponsor:
|
ASA
|
Abstract #307447
|
|
Title:
|
A Spatio-Temporal Model for Ecological Colonization, Growth, and Regulation
|
Author(s):
|
Perry J. Williams* and Xinyi Lu and Mevin Hooten and Jamie Womble and Michael Bower and George Esslinger
|
Companies:
|
University of Nevada, Reno and Colorado State University and Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University and National Park Service, Southeast Alaska Inventory and Monitoring Network and National Park Service, Southeast Alaska Inventory and Monitoring Network and Alaska Science Center, U.S. Geological Survey
|
Keywords:
|
Diffusion;
Ecology;
hierarchical model;
partial differential equation;
population dynamics;
sea otters
|
Abstract:
|
Methods for inferring the dynamics of population spread through time are important for many wildlife applications including the re-introduction of extirpated species and invasive species management. Spatio-temporal statistical models for describing and predicting spatially explicit processes that evolve over time are being increasingly used by wildlife researchers and provide a framework for understanding the dynamics of population spread. Sea otters (Enhydra lutris) were introduced to the outer coast of southeastern Alaska in 1965 and first detected in Glacier Bay in 1993. Since 1993, sea otters have increased in both abundance and distribution in Glacier Bay; preliminary abundance estimates have increased from 5 otters to >8,000 otters. We developed a Bayesian hierarchical spatio-temporal model and fit it to aerial survey data to better understand the ecological processes governing changes in sea otter abundance and distribution. Understanding the processes governing the population expansion provides a template for developing an optimal, dynamic monitoring framework that can be used to both monitor abundance and distribution of a spreading population, and also to reduce uncertainty in our understanding of the ecological processes associated with population spread.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2019 program
|