Tools and Techniques for Monitoring Wildlife Habitats, Communities, and Populations Active
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.
Semi-automated identification of leopard frogs
A reference system for animal biometrics: application to the northern leopard frog
Performance of quantitative vegetation sampling methods across gradients of cover in Great Basin plant communities
Factors influencing detection of eDNA from a stream-dwelling amphibian
Estimating occupancy and abundance of stream amphibians using environmental DNA from filtered water samples
Application of environmental DNA for inventory and monitoring of aquatic species
Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders
Hyperspectral analysis of columbia spotted frog habitat
- 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: 32Semi-automated identification of leopard frogs
Principal component analysis is used to implement a semi-automatic recognition system to identify recaptured northern leopard frogs (Lithobates pipiens). Results of both open set and closed set experiments are given. The presented algorithm is shown to provide accurate identification of 209 individual leopard frogs from a total set of 1386 images.AuthorsDijana Petrovska-Delacrétaz, Aaron Edwards, John Chiasson, Gérard Chollet, David S. PilliodA reference system for animal biometrics: application to the northern leopard frog
Reference systems and public databases are available for human biometrics, but to our knowledge nothing is available for animal biometrics. This is surprising because animals are not required to give their agreement to be in a database. This paper proposes a reference system and database for the northern leopard frog (Lithobates pipiens). Both are available for reproducible experiments. Results ofAuthorsD. Petrovska-Delacretaz, A. Edwards, J. Chiasson, G. Chollet, D. S. PilliodPerformance of quantitative vegetation sampling methods across gradients of cover in Great Basin plant communities
Resource managers and scientists need efficient, reliable methods for quantifying vegetation to conduct basic research, evaluate land management actions, and monitor trends in habitat conditions. We examined three methods for quantifying vegetation in 1-ha plots among different plant communities in the northern Great Basin: photography-based grid-point intercept (GPI), line-point intercept (LPI),AuthorsDavid S. Pilliod, Robert S. ArkleFactors influencing detection of eDNA from a stream-dwelling amphibian
Environmental DNA (eDNA) methods for detecting and estimating abundance of aquatic species are emerging rapidly, but little is known about how processes such as secretion rate, environmental degradation, and time since colonization or extirpation from a given site affect eDNA measurements. Using stream-dwelling salamanders and quantitative PCR (qPCR) analysis, we conducted three experiments to assAuthorsDavid S. Pilliod, Caren S. Goldberg, Robert S. Arkle, Lisette P. WaitsEstimating occupancy and abundance of stream amphibians using environmental DNA from filtered water samples
Environmental DNA (eDNA) methods for detecting aquatic species are advancing rapidly, but with little evaluation of field protocols or precision of resulting estimates. We compared sampling results from traditional field methods with eDNA methods for two amphibians in 13 streams in central Idaho, USA. We also evaluated three water collection protocols and the influence of sampling location, time oAuthorsDavid S. Pilliod, Caren S. Goldberg, Robert S. Arkle, Lisette P. WaitsApplication of environmental DNA for inventory and monitoring of aquatic species
This fact sheet was created to help biologists and resource managers understand emerging methods for detecting environmental DNA and their potential application for inventorying and monitoring aquatic species. It is a synthesis of published information.AuthorsDavid S. Pilliod, Caren S. Goldberg, Matthew B. Laramie, Lisette P. WaitsMolecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders
Stream ecosystems harbor many secretive and imperiled species, and studies of vertebrates in these systems face the challenges of relatively low detection rates and high costs. Environmental DNA (eDNA) has recently been confirmed as a sensitive and efficient tool for documenting aquatic vertebrates in wetlands and in a large river and canal system. However, it was unclear whether this tool could bAuthorsC.S. Goldberg, D. S. Pilliod, R.S. Arkle, L.P. WaitsHyperspectral analysis of columbia spotted frog habitat
Wildlife managers increasingly are using remotely sensed imagery to improve habitat delineations and sampling strategies. Advances in remote sensing technology, such as hyperspectral imagery, provide more information than previously was available with multispectral sensors. We evaluated accuracy of high-resolution hyperspectral image classifications to identify wetlands and wetland habitat featureAuthorsJ.P. Shive, D. S. Pilliod, C.R. Peterson