Evaluating differences in density estimation for central Iowa butterflies using two methodologies

dc.contributor.author Patterson, Shane
dc.contributor.author Harris​, Jonathan
dc.contributor.author Dinsmore, Stephen
dc.contributor.author Kinkead, Karen
dc.contributor.department Natural Resource Ecology and Management
dc.date.accessioned 2023-10-25T20:38:08Z
dc.date.available 2023-10-25T20:38:08Z
dc.date.issued 2023-10-09
dc.description.abstract The Pollard-Yates transect is a widely used method for sampling butterflies. Data from these traditional transects are analyzed to produce density estimates, which are then used to make inferences about population status or trends. A key assumption of the Pollard-Yates transect is that detection probability is 1.0, or constant but unknown, out to a fixed distance (generally 2.5 m on either side of a transect line). However, species-specific estimates of detection probability would allow for sampling at farther distances, resulting in more detections of individuals. Our objectives were to (1) evaluate butterfly density estimates derived from Pollard-Yates line transects and distance sampling, (2) estimate how detection probabilities for butterflies vary across sampling distances and butterfly wing lengths, and (3) offer advice on future butterfly sampling techniques to estimate population density. We conducted Pollard-Yates transects and distance-sampling transects in central Iowa in 2014. For comparison to densities derived from Pollard-Yates transects, we used Program DISTANCE to model detection probability (p) and estimate density (D) for eight butterfly species representing a range of morphological characteristics. We found that detection probability among species varied beyond 2.5 m, with variation apparent even within 5 m of the line. Such variation correlated with wing size, where species with larger wing size generally had higher detection probabilities. Distance sampling estimated higher densities at the 5-m truncation for five of the eight species tested. At this truncation, detection probability was <0.8 for all species, and ranged from 0.53 to 0.79. With the exception of the little yellow (Pyrisitia lisa), species with median wing length <5.0 mm had the lowest detection probabilities. We recommend that researchers integrate distance sampling into butterfly sampling and monitoring, particularly for studies utilizing survey transects >5 m wide and when smaller species are targeted.
dc.description.comments This article is published as Patterson, Shane, Jonathan Harris, Stephen Dinsmore, and Karen Kinkead. "Evaluating differences in density estimation for central Iowa butterflies using two methodologies." PeerJ 11 (2023): e16165. doi:https://doi.org/10.7717/peerj.16165. Copyright 2023 Patterson et al. Distributed under Creative Commons CC-BY-NC 4.0.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/Dw88J8Ww
dc.language.iso en
dc.publisher PeerJ
dc.source.uri https://doi.org/10.7717/peerj.16165 *
dc.subject.disciplines DegreeDisciplines::Physical Sciences and Mathematics::Environmental Sciences::Natural Resources Management and Policy
dc.subject.keywords Butterfly
dc.subject.keywords Detection probability
dc.subject.keywords Distance sampling
dc.subject.keywords Pollard-Yates
dc.subject.keywords Program Distance
dc.subject.keywords Wing length
dc.title Evaluating differences in density estimation for central Iowa butterflies using two methodologies
dc.type article
dspace.entity.type Publication
relation.isAuthorOfPublication 93cc6656-8f88-4982-be9c-06bedefca35f
relation.isOrgUnitOfPublication e87b7b9d-30ea-4978-9fb9-def61b4010ae
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