Invisible Hand of Sampling for Management: Underlying Needs to Survey a Threatened Seabird Can Bias Aggregated Data DOI
Ryan Baumbusch, Adam Duarte, James T. Peterson

et al.

Journal of Biogeography, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

ABSTRACT Aim Surveying for a species of concern ahead proposed activities that alter its habitat is routine practice in conservation and management. Such surveys may accumulate large datasets could further elucidate trends abundance distribution. However, the as‐needed surveying impart sample site selection bias on data if used another purpose. Management threatened, forest‐nesting seabird offered an example this. Here we assessed how resource management planning survey requirements can clearance monitoring collected prior to timber harvests, those are other purposes. Location Oregon Washington, USA. Taxon Marbled Murrelet ( Brachyramphus marmoratus ). Methods To assess factors influenced marbled murrelet location selection, logistic regression models examine associations sites n = 9178) encompassing stations 38,923) therein, across murrelet's inland range Washington Oregon, USA between 1989 2021. We then simulated effect this selective sampling might have assessments occupancy trends. Results Most characteristics considered did influence where were located, with distance roads often being strongest predictor location. The strength each covariate changed over time, such characteristic strongly year but was less influential year. simulation analysis suggested non‐random profoundly Conclusions When using these data– or any data–beyond their original purpose, careful consideration should be given scope inference provided analytical methods used, ensure observed product biological processes not biased by artefacts.

Language: Английский

Maximum likelihood estimators are ineffective for acoustic detection of rare bat species DOI Creative Commons
Bradley H. Hopp, Donald I. Solick,

John Chenger

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0320646 - e0320646

Published: April 1, 2025

Acoustic monitoring is an important tool for determining presence or probable absence of threatened and endangered bats in the United States (US). Federal guidance requires use automated identification programs that classify audio files calculate a Maximum Likelihood Estimator (MLE) each bat species during night survey. based on significant non-significant MLE, which can have profound regulatory effects, positive negative. Despite relying this metric to determine rare past ten years, little known about number required by available trigger MLE effect ratio calculation. We used 1,120 containing echolocation calls from nine northeastern US simulate survey nights variable absolute counts ratios species’ files. developed models estimate Kaleidoscope Pro (KPro) SonoBat establish acoustic species, we then applied our best model long-term dataset collected at Fort Drum Military Installation New York. Each program similar detect some such as Myotis septentrionalis M. sodalis (8 10 files), but differed file requirements other Lasiurus cinereus (KPro = 4; 7) Perimyotis subflavus 10; 6). Both performed poorly with any low (<25%). Applying revealed total recorded within had great whether was correctly determined be present. conclude should caution surveys could produce misleading results certain conditions.

Language: Английский

Citations

0
The spatiotemporal distribution patterns and impact factors of bird species richness: A case study of urban built-up areas in Beijing, China DOI Creative Commons

Zheran Zhai,

Siyao Liu, Zimeng Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112847 - 112847

Published: Nov. 25, 2024

Language: Английский

Citations

2
Invisible Hand of Sampling for Management: Underlying Needs to Survey a Threatened Seabird Can Bias Aggregated Data DOI
Ryan Baumbusch, Adam Duarte, James T. Peterson

et al.

Journal of Biogeography, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

ABSTRACT Aim Surveying for a species of concern ahead proposed activities that alter its habitat is routine practice in conservation and management. Such surveys may accumulate large datasets could further elucidate trends abundance distribution. However, the as‐needed surveying impart sample site selection bias on data if used another purpose. Management threatened, forest‐nesting seabird offered an example this. Here we assessed how resource management planning survey requirements can clearance monitoring collected prior to timber harvests, those are other purposes. Location Oregon Washington, USA. Taxon Marbled Murrelet ( Brachyramphus marmoratus ). Methods To assess factors influenced marbled murrelet location selection, logistic regression models examine associations sites n = 9178) encompassing stations 38,923) therein, across murrelet's inland range Washington Oregon, USA between 1989 2021. We then simulated effect this selective sampling might have assessments occupancy trends. Results Most characteristics considered did influence where were located, with distance roads often being strongest predictor location. The strength each covariate changed over time, such characteristic strongly year but was less influential year. simulation analysis suggested non‐random profoundly Conclusions When using these data– or any data–beyond their original purpose, careful consideration should be given scope inference provided analytical methods used, ensure observed product biological processes not biased by artefacts.

Language: Английский

Citations

0