Tools and Techniques for Monitoring Wildlife Habitats, Communities, and Populations Active
By Forest and Rangeland Ecosystem Science Center
November 14, 2017
Resource monitoring is critically important for documenting trends and learning from the past (i.e., adaptive management), yet it has been plagued with poor design and execution. We are developing and testing novel approaches to wildlife monitoring, including the use of non-invasive field sampling and molecular markers to determine patterns of species occurrence and population abundance relative to management actions or habitat conditions. We are using remote sensing methods to improve mapping and prediction of wildlife habitats and the quality of those habitats for different species.
Below are other science projects associated with this project.
Below are publications associated with this project.
Filter Total Items: 32
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Terrestrial laser scanning (TLS) has been shown to enable an efficient, precise, and non-destructive inventory of vegetation structure at ranges up to hundreds of meters. We developed a method that leverages TLS collections with machine learning techniques to model and map canopy cover and biomass of several classes of short-stature vegetation across large plots. We collected high-definition TLS s
Authors
Kyle E. Anderson, Nancy F. Glenn, Lucas P. Spaete, Douglas J. Shinneman, David S. Pilliod, Robert Arkle, Susan McIlroy, DeWayne R. Derryberry
The Conservation Efforts Database: Improving our knowledge of landscape conservation actions
The Conservation Efforts Database (CED) is a secure, cloud-based tool that can be used to document and track conservation actions across landscapes. A recently released factsheet describes this tool ahead of the rollout of CED version 2.0. The CED was developed by the U.S. Fish and Wildlife Service, the USGS, and the Great Northern Landscape Conservation Cooperative to support the 2015 Endangered
Authors
Matthew M. Heller, Justin L. Welty, Lief A. Wiechman
Weather-centric rangeland revegetation planning
Invasive annual weeds negatively impact ecosystem services and pose a major conservation threat on semiarid rangelands throughout the western United States. Rehabilitation of these rangelands is challenging due to interannual climate and subseasonal weather variability that impacts seed germination, seedling survival and establishment, annual weed dynamics, wildfire frequency, and soil stability.
Authors
Stuart P. Hardegree, John T. Abatzoglou, Mark W. Brunson, Matthew J. Germino, Katherine C. Hegewisch, Corey A. Moffet, David S. Pilliod, Bruce A. Roundy, Alex R. Boehm, Gwendwr R. Meredith
Exploring the use of environmental DNA to determine the species of salmon redds
Annual redd counts are used to monitor the status and trends of salmonid populations, but methods to easily and reliably determine which of sympatric species made specific redds are lacking. We explored whether environmental DNA (eDNA) analysis might prove useful for determining the species of salmon redds. We collected eDNA samples from the interstitial spaces of redds of Chinook Salmon Oncorhync
Authors
Burke Strobel, Matthew Laramie, David S. Pilliod
Critical considerations for the application of environmental DNA methods to detect aquatic species
Species detection using environmental DNA (eDNA) has tremendous potential for contributing to the understanding of the ecology and conservation of aquatic species. Detecting species using eDNA methods, rather than directly sampling the organisms, can reduce impacts on sensitive species and increase the power of field surveys for rare and elusive species. The sensitivity of eDNA methods, however, r
Authors
Caren S. Goldberg, Cameron R. Turner, Kristy Deiner, Katy E. Klymus, Philip Francis Thomsen, Melanie A. Murphy, Stephen F. Spear, Anna McKee, Sara J. Oyler-McCance, Robert S. Cornman, Matthew B. Laramie, Andrew R. Mahon, Richard F. Lance, David S. Pilliod, Katherine M. Strickler, Lisette P. Waits, Alexander K. Fremier, Teruhiko Takahara, Jelger E. Herder, Pierre Taberlet
Salmon redd identification using environmental DNA (eDNA)
IntroductionThe purpose of this project was to develop a technique to use environmental DNA (eDNA) to distinguish between redds made by Chinook salmon (Oncorhynchus tshawytscha) and redds made by Coho salmon (O. kisutch) and to distinguish utilized redds from test/abandoned redds or scours that have the appearance of redds. The project had two phases:Phase 1. Develop, test, and optimize a molecula
Authors
David S. Pilliod, Matthew B. Laramie
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
The Landsat 8 mission provides new opportunities for quantifying the distribution of above-ground carbon at moderate spatial resolution across the globe, and in particular drylands. Furthermore, coupled with structural information from space-based and airborne laser altimetry, Landsat 8 provides powerful capabilities for large-area, long-term studies that quantify temporal and spatial changes in a
Authors
Nancy F. Glenn, Amy Neuenschwander, Lee A. Vierling, Lucas Spaete, Aihua Li, Douglas J. Shinneman, David S. Pilliod, Robert Arkle, Susan McIlroy
Environmental DNA sampling protocol - filtering water to capture DNA from aquatic organisms
Environmental DNA (eDNA) analysis is an effective method of determining the presence of aquatic organisms such as fish, amphibians, and other taxa. This publication is meant to guide researchers and managers in the collection, concentration, and preservation of eDNA samples from lentic and lotic systems. A sampling workflow diagram and three sampling protocols are included as well as a list of sug
Authors
Matthew B. Laramie, David S. Pilliod, Caren S. Goldberg, Katherine M. Strickler
Sampling animal sign in heterogeneous environments: how much is enough?
Animal ecologists often use animal sign as a surrogate for direct observation of organisms, especially when species are secretive or difficult to observe. Spatial heterogeneity in arid environments makes it challenging to consistently detect and precisely characterize animal sign, which can bias estimates of animal abundance or habitat use. Piute ground squirrels (Urocitellus mollis) and Owyhee ha
Authors
Joseph D. Holbrook, Robert S. Arkle, Janet L. Rachlow, Kerri T. Vierling, David S. Pilliod
Characterizing the distribution of an endangered salmonid using environmental DNA analysis
Determining species distributions accurately is crucial to developing conservation and management strategies for imperiled species, but a challenging task for small populations. We evaluated the efficacy of environmental DNA (eDNA) analysis for improving detection and thus potentially refining the known distribution of Chinook salmon (Oncorhynchus tshawytscha) in the Methow and Okanogan Subbasins
Authors
Matthew B. Laramie, David S. Pilliod, Caren S. Goldberg
Moving environmental DNA methods from concept to practice for monitoring aquatic macroorganisms
The discovery that macroorganisms can be detected from their environmental DNA (eDNA) in aquatic systems has immense potential for the conservation of biological diversity. This special issue contains 11 papers that review and advance the field of eDNA detection of vertebrates and other macroorganisms, including studies of eDNA production, transport, and degradation; sample collection and processi
Authors
Caren S. Goldberg, Katherine M. Strickler, David S. Pilliod
Quantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin
A recurrent challenge in the conservation of wide-ranging, imperiled species is understanding which habitats to protect and whether we are capable of restoring degraded landscapes. For Greater Sage-grouse (Centrocercus urophasianus), a species of conservation concern in the western United States, we approached this problem by developing multi-scale empirical models of occupancy in 211 randomly loc
Authors
Robert S. Arkle, David S. Pilliod, Steven E. Hanser, Matthew L. Brooks, Jeanne C. Chambers, James B. Grace, Kevin C. Knutson, David A. Pyke, Justin L. Welty
- Overview
Resource monitoring is critically important for documenting trends and learning from the past (i.e., adaptive management), yet it has been plagued with poor design and execution. We are developing and testing novel approaches to wildlife monitoring, including the use of non-invasive field sampling and molecular markers to determine patterns of species occurrence and population abundance relative to management actions or habitat conditions. We are using remote sensing methods to improve mapping and prediction of wildlife habitats and the quality of those habitats for different species.
- Science
Below are other science projects associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 32Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Terrestrial laser scanning (TLS) has been shown to enable an efficient, precise, and non-destructive inventory of vegetation structure at ranges up to hundreds of meters. We developed a method that leverages TLS collections with machine learning techniques to model and map canopy cover and biomass of several classes of short-stature vegetation across large plots. We collected high-definition TLS sAuthorsKyle E. Anderson, Nancy F. Glenn, Lucas P. Spaete, Douglas J. Shinneman, David S. Pilliod, Robert Arkle, Susan McIlroy, DeWayne R. DerryberryThe Conservation Efforts Database: Improving our knowledge of landscape conservation actions
The Conservation Efforts Database (CED) is a secure, cloud-based tool that can be used to document and track conservation actions across landscapes. A recently released factsheet describes this tool ahead of the rollout of CED version 2.0. The CED was developed by the U.S. Fish and Wildlife Service, the USGS, and the Great Northern Landscape Conservation Cooperative to support the 2015 EndangeredAuthorsMatthew M. Heller, Justin L. Welty, Lief A. WiechmanWeather-centric rangeland revegetation planning
Invasive annual weeds negatively impact ecosystem services and pose a major conservation threat on semiarid rangelands throughout the western United States. Rehabilitation of these rangelands is challenging due to interannual climate and subseasonal weather variability that impacts seed germination, seedling survival and establishment, annual weed dynamics, wildfire frequency, and soil stability.AuthorsStuart P. Hardegree, John T. Abatzoglou, Mark W. Brunson, Matthew J. Germino, Katherine C. Hegewisch, Corey A. Moffet, David S. Pilliod, Bruce A. Roundy, Alex R. Boehm, Gwendwr R. MeredithExploring the use of environmental DNA to determine the species of salmon redds
Annual redd counts are used to monitor the status and trends of salmonid populations, but methods to easily and reliably determine which of sympatric species made specific redds are lacking. We explored whether environmental DNA (eDNA) analysis might prove useful for determining the species of salmon redds. We collected eDNA samples from the interstitial spaces of redds of Chinook Salmon OncorhyncAuthorsBurke Strobel, Matthew Laramie, David S. PilliodCritical considerations for the application of environmental DNA methods to detect aquatic species
Species detection using environmental DNA (eDNA) has tremendous potential for contributing to the understanding of the ecology and conservation of aquatic species. Detecting species using eDNA methods, rather than directly sampling the organisms, can reduce impacts on sensitive species and increase the power of field surveys for rare and elusive species. The sensitivity of eDNA methods, however, rAuthorsCaren S. Goldberg, Cameron R. Turner, Kristy Deiner, Katy E. Klymus, Philip Francis Thomsen, Melanie A. Murphy, Stephen F. Spear, Anna McKee, Sara J. Oyler-McCance, Robert S. Cornman, Matthew B. Laramie, Andrew R. Mahon, Richard F. Lance, David S. Pilliod, Katherine M. Strickler, Lisette P. Waits, Alexander K. Fremier, Teruhiko Takahara, Jelger E. Herder, Pierre TaberletSalmon redd identification using environmental DNA (eDNA)
IntroductionThe purpose of this project was to develop a technique to use environmental DNA (eDNA) to distinguish between redds made by Chinook salmon (Oncorhynchus tshawytscha) and redds made by Coho salmon (O. kisutch) and to distinguish utilized redds from test/abandoned redds or scours that have the appearance of redds. The project had two phases:Phase 1. Develop, test, and optimize a moleculaAuthorsDavid S. Pilliod, Matthew B. LaramieLandsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
The Landsat 8 mission provides new opportunities for quantifying the distribution of above-ground carbon at moderate spatial resolution across the globe, and in particular drylands. Furthermore, coupled with structural information from space-based and airborne laser altimetry, Landsat 8 provides powerful capabilities for large-area, long-term studies that quantify temporal and spatial changes in aAuthorsNancy F. Glenn, Amy Neuenschwander, Lee A. Vierling, Lucas Spaete, Aihua Li, Douglas J. Shinneman, David S. Pilliod, Robert Arkle, Susan McIlroyEnvironmental DNA sampling protocol - filtering water to capture DNA from aquatic organisms
Environmental DNA (eDNA) analysis is an effective method of determining the presence of aquatic organisms such as fish, amphibians, and other taxa. This publication is meant to guide researchers and managers in the collection, concentration, and preservation of eDNA samples from lentic and lotic systems. A sampling workflow diagram and three sampling protocols are included as well as a list of sugAuthorsMatthew B. Laramie, David S. Pilliod, Caren S. Goldberg, Katherine M. StricklerSampling animal sign in heterogeneous environments: how much is enough?
Animal ecologists often use animal sign as a surrogate for direct observation of organisms, especially when species are secretive or difficult to observe. Spatial heterogeneity in arid environments makes it challenging to consistently detect and precisely characterize animal sign, which can bias estimates of animal abundance or habitat use. Piute ground squirrels (Urocitellus mollis) and Owyhee haAuthorsJoseph D. Holbrook, Robert S. Arkle, Janet L. Rachlow, Kerri T. Vierling, David S. PilliodCharacterizing the distribution of an endangered salmonid using environmental DNA analysis
Determining species distributions accurately is crucial to developing conservation and management strategies for imperiled species, but a challenging task for small populations. We evaluated the efficacy of environmental DNA (eDNA) analysis for improving detection and thus potentially refining the known distribution of Chinook salmon (Oncorhynchus tshawytscha) in the Methow and Okanogan SubbasinsAuthorsMatthew B. Laramie, David S. Pilliod, Caren S. GoldbergMoving environmental DNA methods from concept to practice for monitoring aquatic macroorganisms
The discovery that macroorganisms can be detected from their environmental DNA (eDNA) in aquatic systems has immense potential for the conservation of biological diversity. This special issue contains 11 papers that review and advance the field of eDNA detection of vertebrates and other macroorganisms, including studies of eDNA production, transport, and degradation; sample collection and processiAuthorsCaren S. Goldberg, Katherine M. Strickler, David S. PilliodQuantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin
A recurrent challenge in the conservation of wide-ranging, imperiled species is understanding which habitats to protect and whether we are capable of restoring degraded landscapes. For Greater Sage-grouse (Centrocercus urophasianus), a species of conservation concern in the western United States, we approached this problem by developing multi-scale empirical models of occupancy in 211 randomly locAuthorsRobert S. Arkle, David S. Pilliod, Steven E. Hanser, Matthew L. Brooks, Jeanne C. Chambers, James B. Grace, Kevin C. Knutson, David A. Pyke, Justin L. Welty