Changes in Capture Rates in a Community of Bats in New Hampshire during the Progression of White-nose Syndrome
Paul R. Moosman, Jr., Jacques P. Veilleux, Gary W. Pelton, and Howard H. Thomas
Northeastern Naturalist, Volume 20, Issue 4 (2013): 552–558
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P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
22001133 NORNTHorEthAeSaTsEteRrnN NNaAtuTrUaRliAstLIST 2V0o(4l.) :2505,2 N–5o5. 84
Changes in Capture Rates in a Community of Bats in New
Hampshire during the Progression of White-nose Syndrome
Paul R. Moosman, Jr.1,*, Jacques P. Veilleux2, Gary W. Pelton3,
and Howard H. Thomas4
Abstract - Effects of white-nose syndrome (WNS) have mainly been assessed in bats at
hibernacula, but this method may not be appropriate for species with poorly understood
overwintering habits. We assessed effects of WNS on summer captures of Myotis leibii
(Eastern Small-footed Bat), M. lucifugus (Little Brown Bat), M. septentrionalis (Northern
Long-eared Bat), and Eptesicus fuscus (Big Brown Bat) in New Hampshire from 2005–
2011. Declines in rates and probability of capture varied among species but were greatest in
the Myotis. Trends generally agreed with previous studies, except that declines in captures
of Eastern Small-footed Bats were disproportionately higher than expected from winter estimates.
Monitoring of Eastern Small-footed Bats during the non-hibernation period likely
will help to clarify the effects of WNS on this uncommon species.
Introduction
White-nose syndrome (WNS) has caused precipitous declines in populations
of several species of bats across much of the eastern US and Canada (Blehert et
al. 2009, Turner et al. 2011). Mortality from WNS has been determined primarily
through surveys of hibernating bats, but it remains to be determined how closely
such estimates represent actual rates of population decline. This is a particular
concern in species that are difficult to census during winter, such as Myotis leibii
Audubon and Bachman (Eastern Small-footed Bat) and M. septentrionalis Trouessart
(Northern Long-eared Bat). Both species are observed in low numbers during
winter, and hibernate in cryptic locations, making it possible that visual surveys at
hibernacula underestimate their populations (Best and Jennings 1997, Caceres and
Barclay 2000, Saugey et al. 1993).
Monitoring of bats during the non-hibernation period is an alternative method of
assessing impacts of WNS on bats. Brooks (2011) and Dzal et al. (2011) detected
substantial declines in acoustic activity of bats in the genus Myotis, most likely
M. lucifugus LeConte (Little Brown Bats) and Northern Long-eared Bats, in New
England. Additionally, Francl et al. (2012) compared relative abundance of bats
captured in mist nets in West Virginia from 12 years before WNS, to data gathered
the year after WNS was first observed in that state. They are the only authors to
examine responses by Eastern Small-footed Bats, and their results suggest Eastern
Small-footed Bat populations and those of 5 other species were reduced following
the arrival of WNS (Francl et al. 2012).
1Virginia Military Institute, Lexington, VA 24450. 2Franklin Pierce University, Rindge, NH,
03461. 3US Army Corps of Engineers, Perkinsville, VT 05151. 4Fitchburg State University,
Fitchburg, MA 01420. *Corresponding author - moosmanpr@vmi.edu.
P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
2013
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Northeastern Naturalist Vol. 20, No. 4
Threats facing bats in the Northeast warrant further population monitoring during
the non-hibernation period and, therefore, we assessed rates of capture in a community
of bats that was dominated by Eptesicus fuscus Palisot de Beauvois (Big Brown Bat),
Eastern Small-footed Bats, Little Brown Bats, and Northern Long-eared Bats, during
the non-hibernation periods of 2005–2011, at a site in New Hampshire only 65–173
km from hibernacula affected by WNS during the earliest phases of the outbreak. We
were particularly interested in comparing rates of capture in Eastern Small-footed
Bats and Northern Long-eared Bats to those of Little Brown Bats, a species with better-
documented responses to WNS (Frick et al. 2010).
Site Description
Research was conducted at Surry Mountain Lake, an impoundment of the
Ashuelot River in Cheshire County, NH. The site was unique because it supported
a community of bats that included Eastern Small-footed Bats, and it was the focus
of annual mist-netting surveys beginning in 2005. In addition to the 4 focal species,
the community included Lasiurus borealis Müller (Eastern Red Bat), L. cinereus
Beauvois (Hoary Bat), and Perimyotis subflavus Cuvier (Tricolored Bat), all of
which were captured too infrequently for analysis. Eastern Small-footed Bats
used boulder-covered surfaces of Surry Mountain Dam and natural rock outcrops
as diurnal roosts, and foraged in the surrounding forest. Some of the Big Brown
Bats that we studied roosted in buildings ≈400 m from the dam. Roosting sites of
Little Brown Bats and Northern Long-eared Bats were unknown, but presumably
occurred in buildings and under exfoliating bark of trees nearby, respectively. The
surrounding habitat was mainly contiguous, mixed-deciduous and coniferous forest,
consisting of medium-aged secondary growth with some old-growth of Tsuga
canadensis L. (Eastern Hemlock) and Pinus strobus L. (Eastern White Pine).
Methods
We captured bats using mist-nets (Avinet, Dryden, NY) that typically were 6–18
m wide and stacked 6–9 m high (each of these stacked systems are herein referred
to as a single net). Nets were placed across roads or perpendicular to forest edges
and 10–500 m from a large cluster of previously documented roosts of Eastern
Small-footed Bats, with ≥30 m between nets. Nets were operated from 30 min before
sunset until 4 h after sunset. Only data collected from 15 May–15 August were
analyzed, because captured bats were likely to be residents and not migrants during
this time. Data were obtained over 7 years on 99 calendar nights during which
neither precipitation nor wind >4 km/h occurred within the netting period. Mean
sampling intensity was 3.2 ± 0.2 (SE) nets deployed per visit. Visits were generally
limited to 1–2 times per week, and we changed net locations every 1–2 visits; we
used a pool of 40 potential locations to reduce the tendency for bats to become netshy.
Bats were identified to species, fitted with a numbered aluminum band with
rounded edges (Porzana Ltd., Birmingham, UK) on the forearm, and released at
the site of capture. After the emergence of WNS, our methods included the decon554
P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
2013 Northeastern Naturalist Vol. 20, No. 4
tamination protocols suggested by the US Fish and Wildlife Service (http://www.
whitenosesyndrome.org/sites/default/files/resource/national_wns_final_6.25.12.
pdf). Methods were approved by the New Hampshire Fish and Game Department
and the Animal Care Committee of Fitchburg State University.
The effects of WNS on the bat community were assessed in two ways, with date
of visit as the sampling unit for both methods. In the first method, we pooled data
into 1st (2005–2006), 2nd (2007–2009), and 3rd (2010–2011) periods of the disease.
These categories were used because it was impossible to determine precisely when
various species of bats at our site became exposed to WNS, and because it reduced effects
of high inter-annual variation in capture success. We tested the effect of disease
period on rates of capture using separate negative binomial models for each species.
Parameter estimates were adjusted to reflect sampling intensity by including number
of net-nights as an offset variable. Differences in rates of capture among the 3 periods
were examined using pairwise comparisons with Bonferroni adjustments.
In the second method, we tested for changes in the probability of capturing ≥1
individual per visit over the course of the study, using a separate logistic regression
analysis for each species. Date and number of net-nights were used as covariates,
and nightly capture results were coded into a dichotomous dependent variable, with
no bats captured as “0” and ≥1 bat captured as “1.” Likelihood ratio tests were used
to assess logistic models, with a forward selection process. Analyses were performed
using SPSS 20.0 (IBM Corp., Armonk, NY) with α set at 0.05.
Results
During the 1st period of WNS, overall rate of capture at Surry Mountain Lake
(mean ± SE) was 3.7 ± 0.7 bats/net-night. Species-specific rates during the 1st period
were 1.4 ± 0.4 Big Brown Bats/net-night, 0.9 ± 0.2 Eastern Small-footed Bats/
net-night, 0.8 ± 0.3 Little Brown Bats/net-night, and 0.6 ± 0.2 Northern Long-eared
Bats/net-night (Fig. 1). Overall rate of capture during the 3rd period of WNS was 1.0
± 0.2 bats/net-night, a decline of 73% from the 1st period. This trend corresponded
with reductions in captures of 98% for Little Brown Bats and Northern Long-eared
Bats (< 0.1 bat/net-night), 68% for Eastern Small-footed Bats (0.3 ± 0.4 bat/netnight),
and 49% for Big Brown Bats (0.7 ± 0.2 bat/net-night) by the 3rd period.
Effects of period on capture rates were significant for Eastern Small-footed Bats
(likelihood ratio χ2 = 17.9, d.f. = 2, P < 0.001), Northern Long-eared Bats (likelihood
ratio χ2 = 34.8, d.f. = 2, P < 0.001), and Little Brown Bats (likelihood ratio
χ2 = 40.0, d.f. = 2, P < 0.001), but capture rates of Big Brown Bats were statistically
similar across disease periods (P = 0.08). Pairwise comparisons indicated capture
rates for Eastern Small-footed Bats declined significantly following the 1st disease
period (1st–2nd P = 0.026 and 1st–3rd P < 0.027), but were similar between the last
two periods (P = 1.0). Rates of capture between the 1st and 2nd disease periods were
similar for Northern Long-eared Bats (P = 0.36) and Little Brown Bats (P = 0.09),
but declined significantly by the 3rd period in both species (Northern Long-eared
Bat: 1st–3rd P = 0.007 and 2nd–3rd P < 0.001; Little Brown Bat: 1st–3rd P = 0.003 and
2nd–3rd P < 0.001).
P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
2013
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Northeastern Naturalist Vol. 20, No. 4
Logistic regression analyses suggested that the probability of capturing at least
1 bat on a given visit remained similar over the study for Eastern Small-footed
Bats (P = 0.92), but probability of capturing Big Brown Bats (omnibus χ2 = 15.4,
d.f.=2, P < 0.001), Little Brown Bats (omnibus χ2 = 30.2, d.f. = 2, P < 0.001) and
Northern Long-eared Bats (omnibus χ2 = 12.5, d.f. = 1, P ≤ 0.001) declined over
time (Fig. 2). Including net-nights as a covariate significantly improved the logistic
regression models for Big Brown Bats (change if term removed P < 0.001) and
Little Brown Bats (P < 0.001), but not for Northern Long-eared Bats (P = 0.06).
Discussion
Rates of capture observed during the progression of WNS in New Hampshire
suggest the disease caused large reductions in overall abundance of bats, but severity
varied among species. Our data indicate declines in rates of capture were greatest
in Little Brown Bats and Northern Long-eared Bats, intermediate in Eastern Smallfooted
Bats, and least in Big Brown Bats. The declines appeared to happen later
for Little Brown Bats and Northern Long-eared Bats than for Eastern Small-footed
Bats. We did not assess abundance of a fifth species, Tricolored Bats, because they
were rare in New Hampshire prior to WNS, but estimates from hibernacula suggest
that the species has experienced exceptionally high rates of WNS-induced
Figure 1. Mean (± SE) capture success in 4 species of bats during the progression of whitenose
syndrome in New Hampshire. Asterisks indicate species with significant effects (P less than
0.001) across all periods of the disease.
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P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
2013 Northeastern Naturalist Vol. 20, No. 4
mortality (Langwig et al. 2012, Turner et al. 2011). Thus, the community of bats at
Surry Mountain Lake likely had declined from 7 species before WNS to effectively
4 species (Big Brown Bat, Eastern Small-footed Bat, Eastern Red Bat, and Hoary
Bat) by 2010–2011.
Declines in capture rates that we observed largely agree with those presented in
previous studies, suggesting populations of Little Brown Bats and Northern Longeared
Bats experienced drastic declines in the Northeast following arrival of WNS,
which were more severe than those experienced by Big Brown Bats (Brooks 2011,
Dzal et al. 2011, Francl et al. 2012, Langwig et al. 2012, Turner et al. 2011, Wilder
et al. 2011). There is less agreement among studies of Eastern Small-footed Bats.
Our results were somewhat similar to those of Francl et al. (2012), who detected
declines in Eastern Small-footed Bats (84%) that were comparable to those of Little
Brown Bats (80%) and Northern Long-eared Bats (77%). In contrast, estimates
from overwintering bats suggest lower rates of decline in Eastern Small-footed
Bats (12%) than in other species affected by WNS (Turner et al. 2011). The reasons
for these differences are unclear. They may reflect geographic variation in susceptibility
to WNS or differential timing of its spread among populations, but we also
suspect that censuses of hibernating bats have underestimated effects of WNS on
Eastern Small-footed Bats. This is an important question that needs to be resolved
quickly, particularly in light of the ongoing review of whether the Eastern Small-
Figure 2. Declines in the predicted probability of capturing Big Brown Bats (black bars),
Little Brown Bats (crosshatched bars), and Northern Long-eared Bats (white bars) during
the progression of white-nose syndrome in New Hampshire. Data represent results of logistic
regression models. Error bars show standard error of the mean.
P.R. Moosman, Jr., J.P. Veilleux, G.W. Pelton, and H.H. Thomas
2013
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footed Bat should be added to the federal list of endangered species (US Fish and
Wildlife Service 2011).
Interestingly, the probability of capturing at least 1 bat during a given night of
sampling declined in all species except Eastern Small-footed Bats. This finding may
be due to the placement of nets closer to roosts of Eastern Small-footed Bats than to
those of other species. Thus, although the number of Eastern Small-footed Bats that
were captured declined during the study, the remaining bats were caught relatively
consistently. Traditionally, population monitoring has been based on censuses of
hibernating or colony-roosting bats, in part due to concerns about bats becoming netshy
(O’Shea and Bogan 2003, Weller 2007). However, net-shyness has mainly been
linked with sampling the same location on consecutive nights (Robbins et al. 2008,
Winhold and Kurta 2008). Our results and those of similar studies suggest annual
mist-netting near important habitat features allows monitoring of bats outside of the
hibernation period (Boyles and Robbins 2006, Perry 2011).
In conclusion, our data indicate that populations of all three Myotis (M. leibii,
M. lucifugus, and M. septentrionalis) at Surry Mountain Lake declined following
arrival of WNS in the Northeast. Trends that we observed indicate that the effects
of the disease on Little Brown Bats, Northern Long-eared Bats, and Big Brown
Bats have been consistent with winter estimates, but hibernaculum surveys may
underestimate the impact on Eastern Small-footed Bats. The continued existence
of Eastern Small-footed Bats at Surry Mountain Lake as of 2011 was encouraging,
but we are uncertain whether rates of mortality from WNS will allow the species
to persist in the region. Identification and monitoring of additional populations of
Eastern Small-footed Bats are needed, both to resolve this question and to inform
conservation efforts at regional and local scales.
Acknowledgments
We thank J. Lewis and the rest of the US Army Corps of Engineers staff at Surry Mountain
Lake for facilitating our work, and our many students who helped conduct field-work.
Additionally, we are grateful to R. Humston for advice about statistical analyses, R.M.
Brigham for comments on an early draft of our work, and anonymous reviewers for their
help in revising this manuscript.
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