Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance
It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine in...
Main Authors: | , , , |
---|---|
Language: | unknown |
Published: |
2017
|
Subjects: | |
Online Access: | http://nbn-resolving.org/urn:nbn:nl:ui:13-z0-q59g https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:97500 |
id |
ftdans:oai:easy.dans.knaw.nl:easy-dataset:97500 |
---|---|
record_format |
openpolar |
spelling |
ftdans:oai:easy.dans.knaw.nl:easy-dataset:97500 2023-07-02T03:29:33+02:00 Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance Clare, John McKinney, Shawn T. DePue, John E. Loftin, Cynthia S. 2017-05-22T15:34:57.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-z0-q59g https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:97500 unknown doi:10.5061/dryad.4mt00/1 doi:10.5061/dryad.4mt00/2 doi:10.5061/dryad.4mt00/3 doi:10.5061/dryad.4mt00/4 doi:10.5061/dryad.4mt00/5 doi:10.5061/dryad.4mt00/6 doi:10.1002/eap.1587 http://nbn-resolving.org/urn:nbn:nl:ui:13-z0-q59g doi:10.5061/dryad.4mt00 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:97500 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2017 ftdans https://doi.org/10.5061/dryad.4mt00/110.5061/dryad.4mt00/210.5061/dryad.4mt00/310.5061/dryad.4mt00/410.5061/dryad.4mt00/510.5061/dryad.4mt00/610.1002/eap.158710.5061/dryad.4mt00 2023-06-13T13:24:36Z It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that the separate sampling methods produce detections independently of one another. This assumption is tenuous if methods are paired or deployed in close proximity simultaneously, a common practice that reduces the additional effort required to implement multiple methods and reduces the risk that differences between method-specific detection parameters are confounded by other environmental factors. We develop occupancy and spatial capture-recapture models that permit covariance between the detections produced by different methods, use simulation to compare estimator performance of the new models to models assuming independence, and provide an empirical application based upon American marten (Martes americana) surveys using paired remote cameras, hair-catches, and snow tracking. Simulation results indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate uncertainty when this assumption is violated, while our reformulated models are robust to either methodological independence or covariance. Empirical results suggested that remote-cameras and snow-tracking had comparable probability of detecting present martens, but that snow-tracking also produced false-positive marten detections that could potentially substantially bias distribution estimates if not corrected for. Remote cameras detected marten individuals more readily than passive ... Other/Unknown Material American marten Martes americana Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
institution |
Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Clare, John McKinney, Shawn T. DePue, John E. Loftin, Cynthia S. Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
topic_facet |
Life sciences medicine and health care |
description |
It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that the separate sampling methods produce detections independently of one another. This assumption is tenuous if methods are paired or deployed in close proximity simultaneously, a common practice that reduces the additional effort required to implement multiple methods and reduces the risk that differences between method-specific detection parameters are confounded by other environmental factors. We develop occupancy and spatial capture-recapture models that permit covariance between the detections produced by different methods, use simulation to compare estimator performance of the new models to models assuming independence, and provide an empirical application based upon American marten (Martes americana) surveys using paired remote cameras, hair-catches, and snow tracking. Simulation results indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate uncertainty when this assumption is violated, while our reformulated models are robust to either methodological independence or covariance. Empirical results suggested that remote-cameras and snow-tracking had comparable probability of detecting present martens, but that snow-tracking also produced false-positive marten detections that could potentially substantially bias distribution estimates if not corrected for. Remote cameras detected marten individuals more readily than passive ... |
author |
Clare, John McKinney, Shawn T. DePue, John E. Loftin, Cynthia S. |
author_facet |
Clare, John McKinney, Shawn T. DePue, John E. Loftin, Cynthia S. |
author_sort |
Clare, John |
title |
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
title_short |
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
title_full |
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
title_fullStr |
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
title_full_unstemmed |
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
title_sort |
data from: pairing field methods to improve inference in wildlife surveys while accommodating detection covariance |
publishDate |
2017 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-z0-q59g https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:97500 |
genre |
American marten Martes americana |
genre_facet |
American marten Martes americana |
op_relation |
doi:10.5061/dryad.4mt00/1 doi:10.5061/dryad.4mt00/2 doi:10.5061/dryad.4mt00/3 doi:10.5061/dryad.4mt00/4 doi:10.5061/dryad.4mt00/5 doi:10.5061/dryad.4mt00/6 doi:10.1002/eap.1587 http://nbn-resolving.org/urn:nbn:nl:ui:13-z0-q59g doi:10.5061/dryad.4mt00 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:97500 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.4mt00/110.5061/dryad.4mt00/210.5061/dryad.4mt00/310.5061/dryad.4mt00/410.5061/dryad.4mt00/510.5061/dryad.4mt00/610.1002/eap.158710.5061/dryad.4mt00 |
_version_ |
1770275128256495616 |