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
The Conservation Efforts Database: Improving our knowledge of landscape conservation actions
Weather-centric rangeland revegetation planning
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
Salmon redd identification using environmental DNA (eDNA)
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
Environmental DNA sampling protocol - filtering water to capture DNA from aquatic organisms
Sampling animal sign in heterogeneous environments: how much is enough?
Characterizing the distribution of an endangered salmonid using environmental DNA analysis
Moving environmental DNA methods from concept to practice for monitoring aquatic macroorganisms
Quantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin
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.