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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, Alaska

  • 2020 - 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,
                                Alaska

  • 2013 - 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 Fairbanks

  • M.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

Sampling a stream in the mist in the Akilik River drainage

Ecosystems Analytics

Ecosystems Analytics is a group of quantitative biologists and research statisticians with a diverse range of expertise and experience (summarized below). We collaborate with internal and external partners to answer challenging ecological questions that are a high priority of the U.S. Geological Survey Alaska Science Center, sister agencies within the Department of the Interior (DOI), and various...
By
Alaska Science Center
Ecosystems Analytics

Ecosystems Analytics

Ecosystems Analytics is a group of quantitative biologists and research statisticians with a diverse range of expertise and experience (summarized below). We collaborate with internal and external partners to answer challenging ecological questions that are a high priority of the U.S. Geological Survey Alaska Science Center, sister agencies within the Department of the Interior (DOI), and various...
Learn More
USGS Alaska Science Center sign

Expanding Wildlife Populations in Alaska

Changing environmental conditions and human activity are causing the distribution and abundance of wildlife populations in Alaska to change, resulting in challenges for wildlife and ecosystem management. For example, sea otter populations have recently experienced profound growth and spread following near extirpation from the maritime fur trade. However, while their recovery is widely considered a...
By
Alaska Science Center
Expanding Wildlife Populations in Alaska

Expanding Wildlife Populations in Alaska

Changing environmental conditions and human activity are causing the distribution and abundance of wildlife populations in Alaska to change, resulting in challenges for wildlife and ecosystem management. For example, sea otter populations have recently experienced profound growth and spread following near extirpation from the maritime fur trade. However, while their recovery is widely considered a...
Learn More
Float plane with pilot giving a thumbs up before takeoff in Prince William Sound. Trees and mountains in background.

Chugach Imaq Research Collaborative

Imaq comes from the Sugt’stun language meaning the ocean and the contents within it. The Chugach Imaq Project was founded by Chugach Regional Resources Commission (CRRC) to support Indigenous-led research and harvest management of marine mammals within the Chugach Region, while safeguarding subsistence needs of the Eyak and Sugpiaq tribes.
By
Alaska Science Center
Chugach Imaq Research Collaborative

Chugach Imaq Research Collaborative

Imaq comes from the Sugt’stun language meaning the ocean and the contents within it. The Chugach Imaq Project was founded by Chugach Regional Resources Commission (CRRC) to support Indigenous-led research and harvest management of marine mammals within the Chugach Region, while safeguarding subsistence needs of the Eyak and Sugpiaq tribes.
Learn More
an eagle

Alaska Raptor Group

Thirty-one raptor species, including 18 species of diurnal raptors (Orders Accipitriformes and Falconiformes) and 13 species of owls (Order Strigiformes), have been documented in Alaska, 23 of which are known to breed within the state.
By
Alaska Science Center
Alaska Raptor Group

Alaska Raptor Group

Thirty-one raptor species, including 18 species of diurnal raptors (Orders Accipitriformes and Falconiformes) and 13 species of owls (Order Strigiformes), have been documented in Alaska, 23 of which are known to breed within the state.
Learn More

Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data

This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.
By
Alaska Science Center

Rayleigh Step-Selection Functions Rayleigh Step-Selection Functions

This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. Please see the associated manuscript cited above for further details.
By
Alaska Science Center

Reproductive Success from Movement Data Reproductive Success from Movement Data

This software release includes code to conduct analyses presented in the manuscript titled: A hierarchical modeling framework for estimating individual- and population-level reproductive success from movement data
By
Alaska Science Center
Aerial survey for Black Brant at Izembek Lagoon, Alaska USGS Alaska Science Center Ecosystems Analytics Program
USGS Alaska Science Center Ecosystems Analytics Program
Aerial survey for Black Brant at Izembek Lagoon, Alaska

USGS Alaska Science Center Ecosystems Analytics Program

USGS Alaska Science Center Ecosystems Analytics Program

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.

By
Ecosystems Mission Area, Alaska Science Center, Alaska Science Center
Aerial survey for Black Brant at Izembek Lagoon, Alaska

USGS Alaska Science Center Ecosystems Analytics Program

USGS Alaska Science Center Ecosystems Analytics Program

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.

By
Ecosystems Mission Area, Alaska Science Center, Alaska Science Center
Filter Total Items: 13

Modeling individual-level and population-level nest success of California Condors from movement data Modeling individual-level and population-level nest success of California Condors from movement data

The California Condor (Gymnogyps californianus) is a critically endangered species with populations that are not currently self-sustaining. Although understanding nest success is key to understanding trends in their populations, field monitoring of condor nests has become increasingly challenging as the number of nesting condors has increased and their range has expanded. We investigated...
Authors
Andrea Blackburn, Joseph Eisaguirre, Joseph Brandt, Arianna Punzalan, Laura Mcmahon, Molly Astell, Nadya E. Seal Faith, David Meyer, Estelle A. Sandhaus
By
Alaska Science Center

Marginalizing time in habitat selection and species distribution models improves inference Marginalizing time in habitat selection and species distribution models improves inference

AimRecent methodological advances for studying how animals move and use space with telemetry data have focused on fine-scale, more mechanistic inference. However, in many cases, researchers and managers remain interested in larger scale questions regarding species distribution and habitat use across study areas, landscapes, or seasonal ranges. Point processes offer a unified framework...
Authors
Joseph Eisaguirre, Layne G. Adams, Bridget Borg, Heather Johnson
By
Alaska Science Center

Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models

Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive, even though there is important information that could be gleaned about mortality risk. We introduce a thinned spatial point process (SPP) modelling framework that couples...
Authors
Joseph Eisaguirre, Medeleine G. Lohman, Graham G. Frye, Heather Johnson, Thomas V. Riecke, Perry Williams
By
Alaska Science Center

Assessing the sustainability of Pacific walrus harvest in a changing environment Assessing the sustainability of Pacific walrus harvest in a changing environment

Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (Odobenus rosmarus...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Erik Andersen, Joel Garlich-Miller
By
Alaska Science Center

Assessing the population consequences of disturbance and climate change for the Pacific walrus Assessing the population consequences of disturbance and climate change for the Pacific walrus

Climate change and anthropogenic disturbance are increasingly affecting wildlife at a global scale. Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Joel Garlich-Miller
By
Alaska Science Center

Understanding sea otter population change in southeast Alaska Understanding sea otter population change in southeast Alaska

IntroductionThe Southeast Alaska (SE) stock of northern sea otters (Enhydra lutris kenyoni) ranges from Cape Yakataga on the north to the Dixon Entrance on the south. During the maritime fur trade, sea otters were commercially harvested to near extinction in SE for their pelts and were presumed unlikely to naturally repopulate the region.
Authors
Joseph Eisaguirre, Toshio Matsuoka, George Esslinger, Benjamin Weitzman, Paul Schuette, Jamie N. Womble
By
Alaska Science Center

Assessing the sustainability of Pacific walrus harvest in a changing environment Assessing the sustainability of Pacific walrus harvest in a changing environment

Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that are acutely experiencing effects of climate change. The Pacific walrus (Odobenus rosmarus...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Erik Andersen, Joel Garlich-Miller
By
Alaska Science Center

Rayleigh step-selection functions and connections to continuous-time mechanistic movement models Rayleigh step-selection functions and connections to continuous-time mechanistic movement models

BackgroundThe process known as ecological diffusion emerges from a first principles view of animal movement, but ecological diffusion and other partial differential equation models can be difficult to fit to data. Step-selection functions (SSFs), on the other hand, have emerged as powerful practical tools for ecologists studying the movement and habitat selection of animals.MethodsSSFs...
Authors
Joseph Eisaguirre, Perry Williams, Mevin Hooten
By
Alaska Science Center

Informing management of recovering predators and their prey with ecological diffusion models Informing management of recovering predators and their prey with ecological diffusion models

The reintroduction and recovery of predators can be ecologically beneficial as well as socially and economically controversial. However, the growth and expansion of predator populations, and thus their ecological, social, and economic impacts, are not static but rather they vary in space and time. We propose a spatiotemporal statistical modeling framework based on ecological diffusion to...
Authors
Joseph Eisaguirre, Perry Williams, Xinyi Lu, Michelle Kissling, Paul Schutte, Benjamin Weitzman, William S. Beatty, George Esslinger, Jamie N. Womble, Mevin Hooten
By
Alaska Science Center

A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data

Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas...
Authors
Joseph Eisaguirre, Perry Williams, Julia Brockman, Stephen Lewis, Christopher P. Barger, Greg Breed, Travis Booms
By
Alaska Science Center

Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022 Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022

In the summer of 2022, the U.S. Fish & Wildlife Service and partners successfully completed the first single-year, aerial photo survey of sea otters across the entire Southeast stock of northern sea otters. This document presents the latest findings from the 2022 Southeast Alaska Sea Otter Survey, providing up-to-date information regarding occupancy, abundance and carrying capacity. We...
Authors
Paul Schuette, Joseph Eisaguirre, Benjamin Weitzman, Collin Power, Evan Wetherington, Jenipher Cate, Jamie N. Womble, Linnea Pearson, Daniel Melody, Chelsea Merriman, Kat Hanks, George Esslinger
By
Alaska Science Center

Recursive Bayesian computation facilitates adaptive optimal design in ecological studies Recursive Bayesian computation facilitates adaptive optimal design in ecological studies

Optimal design procedures provide a framework to leverage the learning generated by ecological models to flexibly and efficiently deploy future monitoring efforts. At the same time, Bayesian hierarchical models have become widespread in ecology and offer a rich set of tools for ecological learning and inference. However, coupling these methods with an optimal design framework can become...
Authors
Clinton Leach, William J. Perry, Joseph M. Eisaguirre, Jamie N. Womble, Michael Bower, Mevin Hooten
By
Cooperative Research Units

Marginalized space-time point process models for inferring animal resource selection and species distribution from telemetry data Marginalized space-time point process models for inferring animal resource selection and species distribution from telemetry data

This project compared methods for estimating large scale patterns of animal resource selection and species distribution to demonstrate the benefits of marginalized space-time point process models.
By
Alaska Science Center

Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data

This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.
By
Alaska Science Center

Rayleigh Step-Selection Functions Rayleigh Step-Selection Functions

This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. Please see the associated manuscript cited above for further details.
By
Alaska Science Center

Reproductive Success from Movement Data Reproductive Success from Movement Data

This software release includes code to conduct analyses presented in the manuscript titled: A hierarchical modeling framework for estimating individual- and population-level reproductive success from movement data
By
Alaska Science Center

Science and Products

Sampling a stream in the mist in the Akilik River drainage

Ecosystems Analytics

Ecosystems Analytics is a group of quantitative biologists and research statisticians with a diverse range of expertise and experience (summarized below). We collaborate with internal and external partners to answer challenging ecological questions that are a high priority of the U.S. Geological Survey Alaska Science Center, sister agencies within the Department of the Interior (DOI), and various...
By
Alaska Science Center
Ecosystems Analytics

Ecosystems Analytics

Ecosystems Analytics is a group of quantitative biologists and research statisticians with a diverse range of expertise and experience (summarized below). We collaborate with internal and external partners to answer challenging ecological questions that are a high priority of the U.S. Geological Survey Alaska Science Center, sister agencies within the Department of the Interior (DOI), and various...
Learn More
USGS Alaska Science Center sign

Expanding Wildlife Populations in Alaska

Changing environmental conditions and human activity are causing the distribution and abundance of wildlife populations in Alaska to change, resulting in challenges for wildlife and ecosystem management. For example, sea otter populations have recently experienced profound growth and spread following near extirpation from the maritime fur trade. However, while their recovery is widely considered a...
By
Alaska Science Center
Expanding Wildlife Populations in Alaska

Expanding Wildlife Populations in Alaska

Changing environmental conditions and human activity are causing the distribution and abundance of wildlife populations in Alaska to change, resulting in challenges for wildlife and ecosystem management. For example, sea otter populations have recently experienced profound growth and spread following near extirpation from the maritime fur trade. However, while their recovery is widely considered a...
Learn More
Float plane with pilot giving a thumbs up before takeoff in Prince William Sound. Trees and mountains in background.

Chugach Imaq Research Collaborative

Imaq comes from the Sugt’stun language meaning the ocean and the contents within it. The Chugach Imaq Project was founded by Chugach Regional Resources Commission (CRRC) to support Indigenous-led research and harvest management of marine mammals within the Chugach Region, while safeguarding subsistence needs of the Eyak and Sugpiaq tribes.
By
Alaska Science Center
Chugach Imaq Research Collaborative

Chugach Imaq Research Collaborative

Imaq comes from the Sugt’stun language meaning the ocean and the contents within it. The Chugach Imaq Project was founded by Chugach Regional Resources Commission (CRRC) to support Indigenous-led research and harvest management of marine mammals within the Chugach Region, while safeguarding subsistence needs of the Eyak and Sugpiaq tribes.
Learn More
an eagle

Alaska Raptor Group

Thirty-one raptor species, including 18 species of diurnal raptors (Orders Accipitriformes and Falconiformes) and 13 species of owls (Order Strigiformes), have been documented in Alaska, 23 of which are known to breed within the state.
By
Alaska Science Center
Alaska Raptor Group

Alaska Raptor Group

Thirty-one raptor species, including 18 species of diurnal raptors (Orders Accipitriformes and Falconiformes) and 13 species of owls (Order Strigiformes), have been documented in Alaska, 23 of which are known to breed within the state.
Learn More

Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data

This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.
By
Alaska Science Center

Rayleigh Step-Selection Functions Rayleigh Step-Selection Functions

This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. Please see the associated manuscript cited above for further details.
By
Alaska Science Center

Reproductive Success from Movement Data Reproductive Success from Movement Data

This software release includes code to conduct analyses presented in the manuscript titled: A hierarchical modeling framework for estimating individual- and population-level reproductive success from movement data
By
Alaska Science Center
Aerial survey for Black Brant at Izembek Lagoon, Alaska USGS Alaska Science Center Ecosystems Analytics Program
USGS Alaska Science Center Ecosystems Analytics Program
Aerial survey for Black Brant at Izembek Lagoon, Alaska

USGS Alaska Science Center Ecosystems Analytics Program

USGS Alaska Science Center Ecosystems Analytics Program

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.

By
Ecosystems Mission Area, Alaska Science Center, Alaska Science Center
Aerial survey for Black Brant at Izembek Lagoon, Alaska

USGS Alaska Science Center Ecosystems Analytics Program

USGS Alaska Science Center Ecosystems Analytics Program

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.

By
Ecosystems Mission Area, Alaska Science Center, Alaska Science Center
Filter Total Items: 13

Modeling individual-level and population-level nest success of California Condors from movement data Modeling individual-level and population-level nest success of California Condors from movement data

The California Condor (Gymnogyps californianus) is a critically endangered species with populations that are not currently self-sustaining. Although understanding nest success is key to understanding trends in their populations, field monitoring of condor nests has become increasingly challenging as the number of nesting condors has increased and their range has expanded. We investigated...
Authors
Andrea Blackburn, Joseph Eisaguirre, Joseph Brandt, Arianna Punzalan, Laura Mcmahon, Molly Astell, Nadya E. Seal Faith, David Meyer, Estelle A. Sandhaus
By
Alaska Science Center

Marginalizing time in habitat selection and species distribution models improves inference Marginalizing time in habitat selection and species distribution models improves inference

AimRecent methodological advances for studying how animals move and use space with telemetry data have focused on fine-scale, more mechanistic inference. However, in many cases, researchers and managers remain interested in larger scale questions regarding species distribution and habitat use across study areas, landscapes, or seasonal ranges. Point processes offer a unified framework...
Authors
Joseph Eisaguirre, Layne G. Adams, Bridget Borg, Heather Johnson
By
Alaska Science Center

Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models

Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive, even though there is important information that could be gleaned about mortality risk. We introduce a thinned spatial point process (SPP) modelling framework that couples...
Authors
Joseph Eisaguirre, Medeleine G. Lohman, Graham G. Frye, Heather Johnson, Thomas V. Riecke, Perry Williams
By
Alaska Science Center

Assessing the sustainability of Pacific walrus harvest in a changing environment Assessing the sustainability of Pacific walrus harvest in a changing environment

Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (Odobenus rosmarus...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Erik Andersen, Joel Garlich-Miller
By
Alaska Science Center

Assessing the population consequences of disturbance and climate change for the Pacific walrus Assessing the population consequences of disturbance and climate change for the Pacific walrus

Climate change and anthropogenic disturbance are increasingly affecting wildlife at a global scale. Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Joel Garlich-Miller
By
Alaska Science Center

Understanding sea otter population change in southeast Alaska Understanding sea otter population change in southeast Alaska

IntroductionThe Southeast Alaska (SE) stock of northern sea otters (Enhydra lutris kenyoni) ranges from Cape Yakataga on the north to the Dixon Entrance on the south. During the maritime fur trade, sea otters were commercially harvested to near extinction in SE for their pelts and were presumed unlikely to naturally repopulate the region.
Authors
Joseph Eisaguirre, Toshio Matsuoka, George Esslinger, Benjamin Weitzman, Paul Schuette, Jamie N. Womble
By
Alaska Science Center

Assessing the sustainability of Pacific walrus harvest in a changing environment Assessing the sustainability of Pacific walrus harvest in a changing environment

Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that are acutely experiencing effects of climate change. The Pacific walrus (Odobenus rosmarus...
Authors
Devin Johnson, Joseph Eisaguirre, Rebecca Taylor, Erik Andersen, Joel Garlich-Miller
By
Alaska Science Center

Rayleigh step-selection functions and connections to continuous-time mechanistic movement models Rayleigh step-selection functions and connections to continuous-time mechanistic movement models

BackgroundThe process known as ecological diffusion emerges from a first principles view of animal movement, but ecological diffusion and other partial differential equation models can be difficult to fit to data. Step-selection functions (SSFs), on the other hand, have emerged as powerful practical tools for ecologists studying the movement and habitat selection of animals.MethodsSSFs...
Authors
Joseph Eisaguirre, Perry Williams, Mevin Hooten
By
Alaska Science Center

Informing management of recovering predators and their prey with ecological diffusion models Informing management of recovering predators and their prey with ecological diffusion models

The reintroduction and recovery of predators can be ecologically beneficial as well as socially and economically controversial. However, the growth and expansion of predator populations, and thus their ecological, social, and economic impacts, are not static but rather they vary in space and time. We propose a spatiotemporal statistical modeling framework based on ecological diffusion to...
Authors
Joseph Eisaguirre, Perry Williams, Xinyi Lu, Michelle Kissling, Paul Schutte, Benjamin Weitzman, William S. Beatty, George Esslinger, Jamie N. Womble, Mevin Hooten
By
Alaska Science Center

A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data

Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas...
Authors
Joseph Eisaguirre, Perry Williams, Julia Brockman, Stephen Lewis, Christopher P. Barger, Greg Breed, Travis Booms
By
Alaska Science Center

Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022 Northern Sea Otter (Enhydra lutris kenyoni) population abundance and distribution across the southeast Alaska stock, summer 2022

In the summer of 2022, the U.S. Fish & Wildlife Service and partners successfully completed the first single-year, aerial photo survey of sea otters across the entire Southeast stock of northern sea otters. This document presents the latest findings from the 2022 Southeast Alaska Sea Otter Survey, providing up-to-date information regarding occupancy, abundance and carrying capacity. We...
Authors
Paul Schuette, Joseph Eisaguirre, Benjamin Weitzman, Collin Power, Evan Wetherington, Jenipher Cate, Jamie N. Womble, Linnea Pearson, Daniel Melody, Chelsea Merriman, Kat Hanks, George Esslinger
By
Alaska Science Center

Recursive Bayesian computation facilitates adaptive optimal design in ecological studies Recursive Bayesian computation facilitates adaptive optimal design in ecological studies

Optimal design procedures provide a framework to leverage the learning generated by ecological models to flexibly and efficiently deploy future monitoring efforts. At the same time, Bayesian hierarchical models have become widespread in ecology and offer a rich set of tools for ecological learning and inference. However, coupling these methods with an optimal design framework can become...
Authors
Clinton Leach, William J. Perry, Joseph M. Eisaguirre, Jamie N. Womble, Michael Bower, Mevin Hooten
By
Cooperative Research Units

Marginalized space-time point process models for inferring animal resource selection and species distribution from telemetry data Marginalized space-time point process models for inferring animal resource selection and species distribution from telemetry data

This project compared methods for estimating large scale patterns of animal resource selection and species distribution to demonstrate the benefits of marginalized space-time point process models.
By
Alaska Science Center

Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data

This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.
By
Alaska Science Center

Rayleigh Step-Selection Functions Rayleigh Step-Selection Functions

This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. Please see the associated manuscript cited above for further details.
By
Alaska Science Center

Reproductive Success from Movement Data Reproductive Success from Movement Data

This software release includes code to conduct analyses presented in the manuscript titled: A hierarchical modeling framework for estimating individual- and population-level reproductive success from movement data
By
Alaska Science Center

*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

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