The USGS Alaska Science Center Ecosystems Analytics program is a group of quantitative biologists and research statisticians who provide analytical support to USGS scientists to answer challenging ecological topics and management questions for USGS partners.
Joseph Eisaguirre, Ph.D.
Joe is a Research Wildlife Biologist with the Ecosystem Analytics team at the Alaska Science Center. His research focuses on developing and applying statistical methods to better understand the ecology and inform management of wildlife.
My research generally involves developing and applying Bayesian hierarchical models and other quantitative methods to better understand the ecology and inform management of wildlife, in close collaboration with other Department of Interior agencies and state and local partners. This includes spatiotemporal models of population growth and spread, movement models, resource and habitat selection models.
Professional Experience
2022 - present Research Wildlife Biologist, USGS, Alaska Science Center, Anchorage, Alaska
2020 - 2022 Statistician, US Fish and Wildlife Service, Marine Mammals Management,
Anchorage, Alaska2020 - 2020 Post doctoral researcher, University of Nevada Reno, Nevada
2020 - 2020 Post doctoral researcher, University of Alaska Fairbanks, Alaska
2015 - 2019 Graduate research and teaching assistant, University of Alaska Fairbanks,
Alaska2013 - 2016 Fish and Wildlife Technician, Alaska Department of Fish and Game,
Alaska
Education and Certifications
Ph.D. 2020 Biological Sciences (Wildlife Biology & Conservation),
University of Alaska FairbanksM.S. 2019 Statistics University of Alaska Fairbanks
B.A. 2015 Biology Colorado College
Affiliations and Memberships*
The Wildlife Society
The International Biometric Society
Raptor Research Foundation
American Statistical Association
Honors and Awards
2021 Two STAR Awards (Special Thanks for Achieving Results), US Fish and Wildlife Service
Calvin J Lensink Fellowship, University of Alaska Fairbanks
Nancy Klamm Award, Wilson Ornithological Society
Bergrstrom Memorial Research Award, Association of Field Ornithologists
Richard and Reba Beidleman Award, Colorado College
James Wilkes Memorial Biology Award, Colorado College
Science and Products
Chugach Imaq Research Collaborative
Ecosystems Analytics
Alaska Raptor Group
The USGS Alaska Science Center Ecosystems Analytics program is a group of quantitative biologists and research statisticians who provide analytical support to USGS scientists to answer challenging ecological topics and management questions for USGS partners.
Assessing the population consequences of disturbance and climate change for the Pacific walrus
Understanding sea otter population change in southeast Alaska
Rayleigh step-selection functions and connections to continuous-time mechanistic movement models
Informing management of recovering predators and their prey with ecological diffusion models
A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data
Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022
Recursive Bayesian computation facilitates adaptive optimal design in ecological studies
Diffusion modeling reveals effects of multiple release sites and human activity on a recolonizing apex predator
Rayleigh Step-Selection Functions
Reproductive Success from Movement Data
Science and Products
Chugach Imaq Research Collaborative
Ecosystems Analytics
Alaska Raptor Group
The USGS Alaska Science Center Ecosystems Analytics program is a group of quantitative biologists and research statisticians who provide analytical support to USGS scientists to answer challenging ecological topics and management questions for USGS partners.
The USGS Alaska Science Center Ecosystems Analytics program is a group of quantitative biologists and research statisticians who provide analytical support to USGS scientists to answer challenging ecological topics and management questions for USGS partners.
Assessing the population consequences of disturbance and climate change for the Pacific walrus
Understanding sea otter population change in southeast Alaska
Rayleigh step-selection functions and connections to continuous-time mechanistic movement models
Informing management of recovering predators and their prey with ecological diffusion models
A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data
Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022
Recursive Bayesian computation facilitates adaptive optimal design in ecological studies
Diffusion modeling reveals effects of multiple release sites and human activity on a recolonizing apex predator
Rayleigh Step-Selection Functions
Reproductive Success from Movement Data
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government