Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification"
October 1, 2018
R package developed to support study design for acoustic bat surveys with imperfect detection misidentification
Citation Information
| Publication Year | 2018 |
|---|---|
| Title | Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification" |
| DOI | 10.5066/F7JD4W00 |
| Authors | Rogelio M. Rodriguez, Wilson J Wright, Katharine M. Banner, Andrea R. Litt, Kathryn M Irvine, Thomas Rodhouse |
| Product Type | Software Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Northern Rocky Mountain Science Center (NOROCK) Headquarters |
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Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification
Acoustic recording units (ARUs) enable geographically extensive surveys of sensitive and elusive species. However, a hidden cost of using ARU data for modeling species occupancy is that prohibitive amounts of human verification may be required to correct species identifications made from automated software. Bat acoustic studies exemplify this challenge because large volumes of echolocation calls c
Authors
Katharine M. Banner, Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Rogelio M. Rodriguez, Andrea R. Litt
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- Publications
Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification
Acoustic recording units (ARUs) enable geographically extensive surveys of sensitive and elusive species. However, a hidden cost of using ARU data for modeling species occupancy is that prohibitive amounts of human verification may be required to correct species identifications made from automated software. Bat acoustic studies exemplify this challenge because large volumes of echolocation calls cAuthorsKatharine M. Banner, Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Rogelio M. Rodriguez, Andrea R. Litt - Connect