Tools and Techniques for Monitoring Wildlife Habitats, Communities, and Populations
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.
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
The Conservation Efforts Database: Improving our knowledge of landscape conservation actions The Conservation Efforts Database: Improving our knowledge of landscape conservation actions
Weather-centric rangeland revegetation planning Weather-centric rangeland revegetation planning
Exploring the use of environmental DNA to determine the species of salmon redds Exploring the use of environmental DNA to determine the species of salmon redds
Critical considerations for the application of environmental DNA methods to detect aquatic species Critical considerations for the application of environmental DNA methods to detect aquatic species
Salmon redd identification using environmental DNA (eDNA) Salmon redd identification using environmental DNA (eDNA)
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.