Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study

Bat populations in eastern North America have experienced precipitous declines following the spread of white-nose syndrome (WNS) and other population stressors. It is imperative to understand changes in bat populations as WNS spreads to provide appropriate guidance for species management. We develop...

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Main Authors: Kristine O. Evans, Adam D. Smith, David Richardson
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X21001898
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author Kristine O. Evans
Adam D. Smith
David Richardson
author_facet Kristine O. Evans
Adam D. Smith
David Richardson
author_sort Kristine O. Evans
collection DOAJ
description Bat populations in eastern North America have experienced precipitous declines following the spread of white-nose syndrome (WNS) and other population stressors. It is imperative to understand changes in bat populations as WNS spreads to provide appropriate guidance for species management. We developed generalized linear mixed-models of population trend and habitat associations for five indicator bat species on U.S. Fish and Wildlife Service Mobile Acoustic Bat Monitoring program routes across 86 sites in the southeastern United States from 2012 to 2017. We estimated substantial declining annual trends in relative abundance of tricolored bat (Perimyotis subflavus; −15.1% [−20.6 to −9.1% 95% CI]) and little brown bat (Myotis lucifugus; −13.9% [−22.9 to −3.8% 95% CI]). Relative abundance of bat species increased throughout the summer, and associated positively with the amount of woody cover along survey routes in all but P. subflavus. Fewer evening bats (Nycticeius humeralis) and eastern red bats (Lasiurus borealis) were detected along more developed routes. Using these models, we conducted a prospective power analysis to examine sampling effort necessary to detect moderate to catastrophic population changes in bat populations. We estimated that it would require 10–20 years of surveys on 50–100 routes to detect 5% annual declines in all species at 80% power and α = 0.1. Detecting a 2.73% annual decline may require >200 surveys over >20 years; whereas a 1.14% annual decline was nearly impossible to detect via our program. We demonstrate and caution that underpowered monitoring programs may misrepresent the magnitude and/or sign of population trajectories. We recommend project-specific power analysis continue to be emphasized as an important study design component for effective long-term monitoring programs.
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spelling doaj.art-ae037de9f0b44418a0847c5fcfaf1b2d2022-12-21T22:58:05ZengElsevierEcological Indicators1470-160X2021-06-01125107524Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case studyKristine O. Evans0Adam D. Smith1David Richardson2Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Box 9690, Mississippi State, MS 39762, USA; Corresponding author at: Box 9690, Mississippi State, MS 39762, USA.South Atlantic-Gulf & Mississippi Basin Regions, Inventory and Monitoring Branch, National Wildlife Refuge System, U.S. Fish and Wildlife Service, 135 Phoenix Rd., Athens, GA 30605, USASouth Atlantic-Gulf & Mississippi Basin Regions, Inventory and Monitoring Branch, National Wildlife Refuge System, U.S. Fish and Wildlife Service, 2776 Sunset Dr., Grenada, MS 38901, USABat populations in eastern North America have experienced precipitous declines following the spread of white-nose syndrome (WNS) and other population stressors. It is imperative to understand changes in bat populations as WNS spreads to provide appropriate guidance for species management. We developed generalized linear mixed-models of population trend and habitat associations for five indicator bat species on U.S. Fish and Wildlife Service Mobile Acoustic Bat Monitoring program routes across 86 sites in the southeastern United States from 2012 to 2017. We estimated substantial declining annual trends in relative abundance of tricolored bat (Perimyotis subflavus; −15.1% [−20.6 to −9.1% 95% CI]) and little brown bat (Myotis lucifugus; −13.9% [−22.9 to −3.8% 95% CI]). Relative abundance of bat species increased throughout the summer, and associated positively with the amount of woody cover along survey routes in all but P. subflavus. Fewer evening bats (Nycticeius humeralis) and eastern red bats (Lasiurus borealis) were detected along more developed routes. Using these models, we conducted a prospective power analysis to examine sampling effort necessary to detect moderate to catastrophic population changes in bat populations. We estimated that it would require 10–20 years of surveys on 50–100 routes to detect 5% annual declines in all species at 80% power and α = 0.1. Detecting a 2.73% annual decline may require >200 surveys over >20 years; whereas a 1.14% annual decline was nearly impossible to detect via our program. We demonstrate and caution that underpowered monitoring programs may misrepresent the magnitude and/or sign of population trajectories. We recommend project-specific power analysis continue to be emphasized as an important study design component for effective long-term monitoring programs.http://www.sciencedirect.com/science/article/pii/S1470160X21001898Acoustic monitoringBat monitoringHabitat associationsPopulation trendsStatistical powerWhite-nose syndrome
spellingShingle Kristine O. Evans
Adam D. Smith
David Richardson
Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
Ecological Indicators
Acoustic monitoring
Bat monitoring
Habitat associations
Population trends
Statistical power
White-nose syndrome
title Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
title_full Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
title_fullStr Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
title_full_unstemmed Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
title_short Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study
title_sort statistical power of mobile acoustic monitoring to detect population change in southeastern u s bat species a case study
topic Acoustic monitoring
Bat monitoring
Habitat associations
Population trends
Statistical power
White-nose syndrome
url http://www.sciencedirect.com/science/article/pii/S1470160X21001898
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