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.
Wildlife Ecology and Conservation Biology Team (FRESC)
Below are publications associated with this project.
Genomics-informed delineation of conservation units in a desert amphibian
A national-scale assessment of mercury bioaccumulation in United States National Parks using dragonfly larvae as biosentinels through a citizen-science framework
A round-robin evaluation of the repeatability and reproducibility of environmental DNA assays for dreissenid mussels
Integration of eDNA-based biological monitoring within the US Geological Survey’s national streamgage network
Adding invasive species bio-surveillance to the U.S. Geological Survey streamgage network
Can’t see the random forest for the decision trees: Selecting predictive models for restoration ecology
Appropriate sample sizes for monitoring burned pastures in sagebrush steppe: How many plots are enough, and can one size fit all?
Quantifying climate sensitivity and climate-driven change in North American amphibian communities
An introduction and practical guide to use of the Soil-Vegetation Inventory Method (SVIM) data
An analytical framework for estimating aquatic species density from environmental DNA
Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe
Lidar aboveground vegetation biomass estimates in shrublands: Prediction, uncertainties and application to coarser scales
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.
Wildlife Ecology and Conservation Biology Team (FRESC)
Below are publications associated with this project.