Code to assist the USFWS with eDNA field sampling designs for eDNA
May 23, 2019
This code supports the manuscript "Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations". The code fit a three-level occupancy model with two detection assays in the program Stan through R. We programmed this code for a specific project with the USFWS and it will likely not generalize to other situations. The primary purpose of releasing this code is transparency and scientific reproducible.
However, this code could be adapted by people who understand Stan and want to create their own three-level occupancy model.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | Code to assist the USFWS with eDNA field sampling designs for eDNA |
| Authors | Richard A Erickson, Christopher M Merkes, Erica Mize |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Upper Midwest Environmental Sciences Center |
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Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations
Natural resource managers use data on the spatial range of species to guide management decisions. These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are...
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Erica Mize, Richard Erickson, Christopher Merkes, N. Berndt, K.D. Bockrath, J. Credico, N. Grueneis, J. Merry, Kyle Mosel, M.T. Tuttle-Lau, K. Von Ruden, Jon Amberg, K. Baerwaldt, S.T. Finney, E.M. Monroe
Related
Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations
Natural resource managers use data on the spatial range of species to guide management decisions. These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are...
Authors
Erica Mize, Richard Erickson, Christopher Merkes, N. Berndt, K.D. Bockrath, J. Credico, N. Grueneis, J. Merry, Kyle Mosel, M.T. Tuttle-Lau, K. Von Ruden, Jon Amberg, K. Baerwaldt, S.T. Finney, E.M. Monroe