Population Attributes of an Endangered Mussel,
Epioblasma torulosa rangiana (Northern Riffleshell), in
French Creek and Implications for its Recovery
Darran L. Crabtree and Tamara A. Smith
Northeastern Naturalist, Volume 16, Issue 3 (2009): 339–354
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2009 NORTHEASTERN NATURALIST 16(3):339–354
Population Attributes of an Endangered Mussel,
Epioblasma torulosa rangiana (Northern Riffleshell), in
French Creek and Implications for its Recovery
Darran L. Crabtree1,* and Tamara A. Smith2,3
Abstract - Baseline information on the current status of rare mussel populations in
a given water body is necessary to better understand the effects of actions to protect
or enhance populations. We conducted river-wide surveys in French Creek, known
for its mussel abundance, to quantify population-level indicators that could be used
for measuring viability of Epioblasma torulosa rangiana (Northern Riffleshell), a
critically imperiled freshwater mussel, in recovering or reintroduced populations. We
estimated multiple attributes of Northern Riffleshell populations, including longitudinal
distribution, densities and abundances, sex-specific age structure, and mortality
rates. Northern Riffleshell has been documented in French Creek since at least the
early 1900s and is distributed unevenly throughout the creek (12 of 32 sites in a
bimodal pattern), with no animals found in the upper third of the creek. At sites
containing Northern Riffleshell, site-specific densities ranged from 0.009–6.668 m2.
Maximum age of Northern Riffleshell ranged from 7–11 years at four sites with
evidence of sustained recruitment (i.e., uneven age structure). Proportions of individuals
in each age class were similar at each site, even though total numbers of
animals differed by up to two orders of magnitude. Significantly more males than
females were found in early ages (1–3), but no significant differences were found in
older age classes. There were no significant differences in mortality rates (both sexes
combined) at all four sites. However, mortality rates differed significantly between
the sexes at older ages (ages 6–10) at the one site with enough individuals for a
comparison, suggesting greater reproductive costs or selective predation for females.
The population attributes of Northern Riffleshell from French Creek are important
benchmarks for setting restoration goals and measuring success in other systems that
share a similar biogeography to French Creek, but whose fauna has been depleted
(e.g., many Ohio River tributaries).
Introduction
Freshwater mussels (Unionidae) are one of the most endangered groups
of organisms in the United States (Stein et al. 2000, Williams et al. 1993). Up
to 35 species are believed to have become extinct in the last 150 years and
more than 60% are considered at risk of extinction (based on NatureServe
2007 ranking of G3 or higher; Stein et al. 2000). The genus Epioblasma
is considered the most threatened genus of freshwater mussels (Stein et
al. 2000). Epioblasma torulosa rangiana Lea (Northern Riffleshell) was
1The Nature Conservancy, Allegheny College, Meadville, PA 16335. 2Pennsylvania
Natural Heritage Program, Western Pennsylvania Conservancy, 11881 Valley Road,
Union City, PA 16438. 3Current address - US Fish and Wildlife Service, Twin Cities
Field Office, 4101 American Boulevard East, Bloomington, MN 55425.*Corresponding
author - dcrabtree@tnc.org.
340 Northeastern Naturalist Vol. 16, No. 3
added to the Federal Endangered Species list in 1993, and a recovery plan
was produced in 1994 (US Fish and Wildlife Service 1994). The recovery
plan identifies the current and historic range of Northern Riffleshell and actions
that should be taken to aid in the restoration of this species. Little is
known about populations of this species under relatively healthy conditions.
Attributes of unaltered populations are important in estimating the success
or failure of augmentation or reintroduction programs (Kuehnl and Watters
2005, US Fish and Wildlife Service 1994).
River-wide population assessments of freshwater mussels in French Creek
revealed high densities and large populations of many species including
Northern Riffleshell (Smith and Crabtree 2005). Multiple indicators of system
integrity have revealed that French Creek’s water quality and in-stream habitat
quality are currently good to very good (Rankin and Armitage 2005, Smith and
Crabtree 2005, Smith et al. 2003). The combination of high numbers of mussels
across multiple sites and high water and habitat quality reveal a system
that is relatively intact compared with other rivers in the Ohio basin.
Northern Riffleshell was historically found in French Creek (Ortmann
1919) and continues to exist at many sites in the mainstem of the river (Smith
and Crabtree 2005). We estimated distributions and demographic statistics to
determine the current status of this species within French Creek. Population
parameters such as densities, sex-specific age distributions, and instantaneous
mortality rates from sites with viable Northern Riffleshell populations
are presented. These attributes of viability will be useful for long-term monitoring
of this species in French Creek, and also provide biological criteria for
assessing recovery projects outside of French Creek. Restoration indicators
that go beyond presence or absence of a species are especially important
indicators for long-lived organisms because adults may be present, but reproduction
may not necessarily be occurring (e.g., Plethobasus cicatricosus,
(Say) [White Wartyback]; Parmalee and Bogan 1998).
Field-site Description
French Creek is part of the Allegheny River watershed and the greater
Ohio River drainage. The entire French Creek watershed covers an area of
approximately 3200 km2. Approximately 93% of the watershed is within
Pennsylvania, and the remaining 7% is made up of headwater streams in
New York. French Creek originates in Chautauqua County in New York
State, then flows south through Pennsylvania’s Erie and Crawford counties,
through the northeast corner of Mercer County, and finally into Venango
County where it flows southeast to its confluence with the Allegheny River
at Franklin, PA (Fig. 1).
Methods
Site selection and qualitative surveys
We used an approach similar to Villella and Smith (2005) for selecting
sites to estimate whole-river populations. The main-stem of French Creek
was mapped using a Trimble GeoExplorer GPS unit from its confluence with
2009 D.L. Crabtree and T.A. Smith 341
the Allegheny River upstream to the town of Sherman, NY (small streamsize
precluded sampling farther upstream). Stream reaches were classified
into one of three flow regimes: pool, run, riffle, or a combination of these regimes.
We eliminated all pool habitats from our sampling universe, as most
of the rare mussels in this system are not often found in these slow-flowing
areas. From the riffle and run habitats that remained, we used ArcView
Figure 1. Survey site locations in the French Creek watershed (southwest NY, northwest
PA). Starred sites are those surveyed in 2004 using quantitative methods.
342 Northeastern Naturalist Vol. 16, No. 3
3.2 to measure each discrete flow type and set a 100-m length threshold to
define large lengths of similar flow types (hereafter referred to as a habitat
unit). We randomly selected one habitat unit in approximately every 5.6
river km to survey. The search areas at each habitat unit were standardized
to 2500 m2 per site, with a total search time of 300 min/site. This protocol
yields an effective sampling fraction of 0.06, which is identical to what has
been used in the Allegheny River (Smith et al. 2001). We flagged the banks
dividing the 2500-m2 area into sub-areas, and one observer was assigned to
each sub-area. The number and size of the sub-areas depended on the number
of observers. We used masks and snorkels for all sampling, and each snorkeler
collected as many freshwater mussels as possible during their allotted
search time. Live mussels were identified, counted, measured, and returned
to the original collection site. Catch per unit effort (CPUE) was calculated
as the number of freshwater mussel individuals collected divided by personhours
spent sampling. Three 5.6-km stretches had no large riffle habitat,
and so pools were sampled instead, and three additional large riffles were
randomly selected within three 5.6-km stretches that already had one large
riffle selected. Thirty-two sites total were surveyed qualitatively in 2003 and
2005. From the 2003 qualitative sampling results, 10 sites were randomly
selected, stratified by CPUE to conduct quantitative surveys (Fig. 1; Smith
and Crabtree, in press).
Quantitative surveys and population estimation
Although qualitative surveys can be conducted relatively quickly, they
provide only a relative estimate of the size of a population and can be biased
toward larger animals (Strayer and Smith 2003). At a subset of sites that
were searched qualitatively, a double-sampling technique using replicate
quadrat samples (0.25 m2) was used (Smith et al. 2001). Double sampling
yields more accurate estimates, because not all mussels can be detected at
the surface. Prior to conducting the double sampling, we first obtained the
total number of quadrats to be visually searched at a site and the subset of
these quadrats that must be excavated.
The total number of quadrats to be searched visually depends on the
desired precision of the abundance estimate. Based on similar studies, a
population abundance coefficient of variation (CV) of 0.30 provides acceptable
precision (Smith et al. 2001). Previous mussel data from two locations
on French Creek showed a wide range of densities (0.006–2.327 m-2 per
species), depending on species and site. Mean total densities for these two
sites were roughly 0.38 and 0.19 m-2 (Greg Zimmerman, EnviroScience Inc.,
Columbus, OH, pers. comm.). We used the lower total mean density and
accepted a CV of 0.33. Based on this value, we determined we needed 400
quadrats per site. In order to get a sample size of 400 quadrats within our average
study area (2500 m2), a grid of 4- x 4-m cells was used to partition the
study area. Equally spaced transects (lead lines marked with 0.5-m intervals)
were placed parallel to shore. We generated three pairs of random numbers
between 0.5 and 4.0 m both across and upstream, to use as coordinates for
2009 D.L. Crabtree and T.A. Smith 343
three quadrat samples within the grid. The remaining quadrats were placed
at standardized distances (4 m) upstream from the three start points.
We determined the number of quadrats to be excavated by conducting a
preliminary random sample of 5% of the total quadrats. Within these quadrats,
we conducted paired surface observations and excavations to a depth
of 10–15 cm (see below for details). The proportion of mussels found on the
surface compared to the mussels found in the subsurface (excavated) was
used to calculate the proportion of the total quadrats that must be excavated
(Smith et al. 2001).
Quadrats were sampled from downstream to upstream to maximize visibility.
Divers worked in teams of two or three, and a maximum of four
teams worked simultaneously. Surface surveys involved visually and tactually
searching through the substrate surface within the 0.25-m2 quadrats. For
subsurface samples, a metal scoop was used to excavate all substrate to a
depth of 10–15 cm or hardpan. All material removed by the scoop was sieved
through a 0.63-cm mesh screen and inspected for mussels. After excavation,
the quadrat was visually examined for any remaining mussels. All excavated
mussels were identified, measured to the nearest 0.1 mm, and placed in separate
underwater mesh bags from the mussels collected at the surface. After
the data were recorded, the excavated substrate and the mussels were placed
back into their original quadrat.
The number of surface vs. buried mussels was calculated to determine
how many of the remaining 400 quadrats required excavation (see Smith
et al. 2001 for thresholds). In general, if most of the mussels were found
at the surface during the preliminary sampling then few excavations were
required. Conversely, if few mussels were found at the surface and many
were found in excavations, then potentially all of the remaining quadrats
required excavation.
We used the Mussel Estimation Program (Version 1.4.3) developed by
the David Smith at the USGS-Leetown Science Center Aquatic Ecology
Lab to estimate Northern Riffleshell density and population size at all sites
where it was collected in the quantitative surveys (USGS Mussel Estimation
Program 2004).
Population analyses
We developed length-at-age relationships from mussel shells collected
from muskrat middens along the length of French Creek during 2002. A
total of 22 middens was sampled in 2002. Those shells were identified and
counted, but only Northern Riffleshell valves were aged and measured to
the nearest 0.1 mm. Although aging mussel shells is somewhat controversial
(Downing et al. 1992), similar techniques have been shown to be extremely
valuable in the study of fish growth and production (Casselman 1983). We
believe age-structure analysis has utility for freshwater mussels, depending
on the technique used (Neves and Moyer 1988) and the species (i.e., longerlived
species may be more problematic at old ages). Recently, an attempt to
validate annular growth bands provided strong support for their formation in
344 Northeastern Naturalist Vol. 16, No. 3
multiple freshwater mussel species; however, Northern Riffleshell was not
studied (Haag and Commens-Carson 2008)
We randomly chose an equal number (117) of male and female Northern
Riffleshell in each size class for aging. For the smallest (20–30 mm) and
largest (70–80 mm) size classes, we had less than the number of individuals
available in the middle size classes. We counted each external band as an
annulus. Aging was straightforward except for possible spawning or nonwinter-
related temperature change checks, and a little erosion at the umbo.
Of the 224 animals aged from external bands, 25 males and 25 females were
randomly selected for internal band counts to help verify external count
estimates (Neves and Moyer 1988, Rogers 1999, Rogers et al. 2001, Veinott
and Cornett 1996). We thin-sectioned both valves of each individual using a
Buehler Isomet low-speed saw. Thin sections were placed on a microscope
slide and viewed under dissecting scope. Opaque bands that originated at the
umbo and extended to the periostracum (assumed as annuli) were identified
following methods of Neves and Moyer (1988). Eight of the 50 shells could
not be read confidently, and so our final number of paired valves was 18
females and 24 males.
We tested the slopes of the paired internally and externally derived annuli
for both sexes combined using an ANCOVA test for homogeneity and
found no significant differences (P = 0.82, n = 42). Thus, external annuli in
Northern Riffleshell appear to be formed at similar rates to internal annuli.
Based on these results, we used length-at-age curves from external annuli to
estimate age structure using linear regression. Male and female lengths-atage
were both significantly positive (P < 0.0001, n = 117 for both; Fig. 2).
The slopes of the sex-specific length-at-age curves derived from external
aging were significantly different from each other (ANCOVA test for homogeneity:
P = 0.029, n = 117), so we used separate equations to predict age:
y = 0.1406x–1.2961 (female; r2 = 0.75), and [1]
y = 0.1652x - 2.1175 (male; r2 = 0.78), [2]
where x = length in mm across longest axis.
We estimated frequency distributions of ages at all quantitatively
sampled sites with viable Northern Riffleshell. We considered Northern
Riffleshell to be viable at a site if there were at least three age classes
present. Of the seven quantitatively sampled sites that contained Northern
Riffleshell, only five were considered viable. Sites RKM 52 and RKM 111
had evidence of recent recruitment (individuals ≤30 mm), but few or no
adults. Although site RKM 126 contained viable Northern Riffleshell, our
sampling effort was inadequate to estimate their abundance with acceptable
confidence. In general, age distributions showed evidence of gear selectivity,
and thus we considered Northern Riffleshell to be fully recruited to the
sampling gear at age-2. For the four viable sites (and without RKM 126),
we contrasted female and male proportions in each age using paired t-tests.
Linear regressions, paired t-tests, and ANCOVAs were all performed using
SAS 9.1.
2009 D.L. Crabtree and T.A. Smith 345
We constructed catch curves of Northern Riffleshell for each site by
plotting abundance vs. age. We derived instantaneous mortality rates (Z)
by transforming (loge) the catch-curve data from each site and then fitting a
linear equation (Gulland 1983). Analyzing the age distributions of each sex
separately was problematic due to the females’ relatively low representation
in early age classes, and we had some concern that early ages may have
been incorrectly sexed in the field. For the one site with enough individuals
(RKM 74) and focusing on older ages (ages 6 and older), we were able to
compare instantaneous mortality rates for male and female. Catch curves
examine age structures at a single point in time (Tokey et al. 2007). They
assume that catchability is constant across ages, recruitment shows no trend
but can fluctuate randomly about a stationary mean, and the population is in
equilibrium (i.e., no change in mortality or no trend in recruitment). We used
the abundance-at-age equations to back-calculate age-1 abundances for both
sexes combined at each site.
Results
The longitudinal distribution of Northern Riffleshell in French Creek
was uneven (Fig. 3). Northern Riffleshell was missing at all sites in the upper
third of the creek. Their densities declined significantly with distance
upstream from the confluence with the Allegheny River (P = 0.017, n = 32).
Figure 2. Length-at-age functions for female (r2 = 0.74) and male (dashed line, r2 =
0.75) northern riffleshell from externally aged shells. Equations derived from the
externally aged shells were used to predict age from length for individuals at quantitatively
sampled sites. Slopes of male and female derived from externally aged
shells were significantly different (P = 0.03, n = 117). Note: Xs in graph overlap and
cover many Os.
346 Northeastern Naturalist Vol. 16, No. 3
However, there were two centers of high density between river km 4–29
and 52–74 among other scattered sites of lower densities (Fig. 3). It should
be noted that quantitative sampling revealed an additional site for Northern
Riffleshell at RKM 98. For the subset of sites where Northern Riffleshell
was present and sampled quantitatively, mean density estimates ranged from
0.01–6.67 m-2, and abundance estimates ranged from 25–16,633 (Table 1).
For sites where uneven ages were observed (i.e., viable sites), mean densities
ranged from 0.13–6.67 m-2, and abundance estimates ranged from
336–16,633 (Table 1).
The age-specific mean densities of Northern Riffleshell at these sites
varied greatly (Fig. 4a). The proportions of individuals-at-age were less
variable (Fig. 4b), but differences between the proportions of female
and males were apparent at early ages (Fig. 4c). The mean proportions
of females to males were significantly different for ages 1–3, with many
more males than females (P = 0.024 for age-1, P = 0.028 for age 2, and
P = 0.015 for age 3; n = 4; Fig. 4c), but by age-4 the proportions were not
Figure 3. Longitudinal
distribution of
Northern Riffleshell
in mainstem of
French Creek, based
on qualitative sampling
only. CPUE
is based on 5 people-
hours 2500 m-2.
CPUE was log10-
transformed to illustrate
general pattern.
Quantitative
sampling revealed
two additional locations
for Northern
Riffleshell at RKM
89 and RKM 98.
Table 1. Densities (no. m-2), population estimates, and presence of uneven age structure (at
least three age classes) of Northern Riffleshell at seven sites sampled using double sampling
(quantitative) in French Creek. Site numbers refer to river km and numbers in parentheses are
one standard error. Population estimates are based on a survey area of 2500 m2.
River km
19 23 52 68 74 89 98
Density 1.85 1.18 0.04 0.47 6.67 0.01 0.13
(1 std. error) (0.22) (0.23) (0.02) (0.11) (0.47) (0.01) (0.06)
Population estimate 5026 3706 107 1232 16,633 25 336
(1 std. error) (586) (730) (75) (299) (1170) (24) (154)
At least three age classes? yes yes no yes yes no yes
2009 D.L. Crabtree and T.A. Smith 347
significantly different. Although not significantly different, age-6 was the
only age class with more females than males.
Figure 4. Mean densities (a), mean proportions (b), and mean proportions of each sex
(c) of Northern Riffleshell in each age class at four quantitatively sampled sites (+ 1
SE). Asterisks above age class indicate significant differences at α = 0.05.
348 Northeastern Naturalist Vol. 16, No. 3
Abundance-at-age data for both sexes combined at sites RKM 74, RKM
68, RKM 23, and RKM 19 were best fit by linear functions (Eqns. 3–6,
respectively), as were age 6–10 males at site RKM 74 (Eqn. 7). Female ageat-
abundance data for ages 6 –10 at RKM 74 were best fit by an exponential
function (Eqn. 8): where x = age in years.
y = -298.8x + 3578.0 (r2 = 56, P = 0.02), [3]
y = -15.5x + 119.9 (r 2 = 94, P = 0.002), [4]
y = -153.12x +1284.6 (r 2 = 82, P = 0.005), [5]
y = -149.1x + 1442.1 (r 2 = 82, P = 0.002), [6]
y = -367.4x + 3757 (r 2 = 99), and [7]
y = 2.0 * 106e-1.1092x (r 2 = 99), [8]
Transformation of catch curves yielded instantaneous mortality rates of
0.30 at RKM 74, 0.46 at RKM 68, 0.51 at RKM 23, and 0.33 at RKM 19
(Fig. 5a). Slopes of catch curves at all sites were not significantly different
(ANCOVA, test for homogeneity: P-values ranged from 0.355 to 0.560).
Slopes of catch curves for females and males at RKM 74 using the age
6–10 data were significantly different (ANCOVA, test for homogeneity:
P = 0.014; Fig. 5b).
We back-calculated abundances-at-age from our linear models of mortality,
assuming that the model accurately describes early-life dynamics.
Back-calculation yielded an abundance of 3279 age-1 animals at RKM
74, 104 age-1 animals at RKM 68, 1293 age-1 animals at RKM 23, and
1131 age-1 animals at RKM 19.
Discussion
Northern Riffleshell was once widespread throughout the northern
tributaries of the Ohio River, occurring from eastern Illinois in the Wabash
River to Conewango Creek in Northwest Pennsylvania (US Fish and
Wildlife Service 1994). Northern Riffleshell also inhabited wave-swept
areas in western Lake Erie and some of the western tributaries of the
Lake (US Fish and Wildlife Service 1994). Northern Riffleshell may have
been in parts of the Tennessee, Cumberland, and Green rivers, although
not in as great an abundance (US Fish and Wildlife Service 1994). Altogether,
nine states and Ontario had records of Northern Riffleshell prior
to the 1950s (US Fish and Wildlife Service 1994). Currently, it is known
to exist in Tippecanoe River (Indiana), Sydenham River (Ontario), Fish
Creek (Ohio and Indiana), Big Darby Creek (Ohio), and the Allegheny
River basin (including French and Conewango Creeks). Of all the current
locations from which Northern Riffleshell has been reported, the largest
populations remain in French Creek and Allegheny River (Smith and
Crabtree 2005; Zanatta and Murphy 2007; R. Villella, USGS Leetown
Science Center, Kearneysville, WV, pers. comm.).
Quantifying the integrity of mussel assemblages is difficult when
one objective is the conservation of rare species. In general, rare species
population integrity treated at the community or system scale is problematic
2009 D.L. Crabtree and T.A. Smith 349
simply because their rarity confounds potential relationships with stressors.
Additionally, conservation strategies for rare species are often focused at
smaller scales. For imperiled mussels, these strategies include species reintroductions
and/or population augmentation often at the river-reach level
and smaller (Bolden and Brown 2002, Cope and Waller 1995, Villella et al.
1998). Longitudinal distribution of mussels has been investigated as a means
to describe the abundance at scales beyond the reach level (e.g., Villella and
Smith 2005). Lellis in Strayer and Smith (2003) used a continuous sampling
technique that allowed for seamless longitudinal distributions of species
in the Delaware River. However, Lellis’ results lack population specificity
at the site level (a trade-off necessitated by the length of the study reach).
Figure 5. (a) Catch curves for Northern Riffleshell in each age class at four sites in
French Creek, and (b) catch curves for age 6–10 females and males at RKM 74. Only
older ages of females and males showed significant differences in mortality rates
(P = 0.014).
350 Northeastern Naturalist Vol. 16, No. 3
Our methods captured what we believe is an accurate picture of the general
longitudinal distribution of Northern Riffleshell in French Creek, but also
resulted in site-specific estimates of catch and abundance.
Northern Riffleshell in French Creek appears to have two population
centers, one near the confluence with the Allegheny River and the other approximately
1/3 of the length upstream (beginning at river km 58). This
bimodal distribution may reflect the dynamic chronology of the river system
in this area. Parts of the current Allegheny River are believed to have flowed
through part of the current French Creek valley and drained to the north prior
to the Illinoisan glacier advance (Harrison 1980). French Creek reversed its
flow during successive advances and retreats of the Illinoisan and Wisconsin
glaciers, eventually flowing into the Allegheny River and becoming part of the
Ohio basin (Harrison 1980). Colonization of the central part of the watershed
by Northern Riffleshell may have occurred early in the formation of what we
now consider to be French Creek, thus creating somewhat isolated or disjunct
population centers. Conversely, Northern Riffleshell distribution may reflect
legacies of stream alteration. French Creek was altered to allow water into
a feeder for the Erie Canal in the area between these two population centers.
Although today this stretch of stream contains other mussel species, there is
no true riffle habitat and no evidence of Northern Riffleshell.
The maximum mean density of Northern Riffleshell, which was recorded
at RKM 94 in French Creek (6.67 m-2) ranks among the highest in it’s
current range (Zanatta and Murphy 2007), and compares closely with the
highest mean density from the Allegheny River at West Hickory (7.57 m-2;
R. Villella, pers. comm.). The minimum density for viable populations is unknown,
but Zanatta and Murphy (2007), using microsatellite DNA analysis,
concluded that the effective population size for Northern Riffleshell at RKM
94 was 68 individuals. Our mean population estimate for this site was 8317
females (assuming 50:50 sex ratio); the discrepancy between these numbers
(more than two orders of magnitude) may indicate a locally adapted population,
bottlenecks in the past, or simply an underestimate of the effective
population size by Zanatta and Murphy (2007).
The sites that we considered viable were based on observations of mussel
populations with uneven age structure. Abundances of Northern Riffleshell
at these viable sites may yield insight into the minimum viable population
size, since overall numbers of animals may be a more biologically signifi-
cant measure of potential viability. Mean abundances of animals (≥ age 2)
at these sites ranged from 336–16,633. Abundances that have proved viable
in healthy systems like French Creek should be targeted for stocking rates
as resource managers begin to implement the recovery plan for this species.
These estimates are for Northern Riffleshell ages 2 and up; thus, they are
applicable in situations where adult or older juvenile animals are available
(e.g., relocations from salvage operations).
Age structure of Northern Riffleshell in French Creek was different than
that of another Epioblasma species, Epioblasma florentina walkeri (Tan
2009 D.L. Crabtree and T.A. Smith 351
Riffleshell) in Virginia (Rogers 1999, Rogers et al. 2001). Tan Riffleshell
numbers-at-age exhibited what appeared to be a bimodal relationship compared
to the more unimodal distribution of Northern Riffleshell at sites in
French Creek. The primary determinant of the age distribution of Tan Riffleshell was most likely that population estimates were based on surface
counts of marked animals only. This methodology may have skewed the data
to older individuals. Although Rogers (1999) and Rogers et al. (2001) make
good points regarding the problems of aging mussels, populations estimates
are equally, if not more problematic and have a strong influence on age-structure
analyses.
Understanding natural mortality rates in mussels may be critical to
effective management of these species. Relocations, reintroductions, and
population augmentations will need better measures of success or failure
in these relatively long-lived animals if the objectives of their recovery
plans are to be followed. Although a single instantaneous mortality rate
is a rather static parameter to apply over the life of an organism, the general
shape of the catch curve can be useful for inferring critical life stages.
In French Creek, the four sites examined all exhibited similar mortality
curves, suggesting that either natural processes are similar at these sites or
they are experiencing similar human-induced mortalities. A similar pattern
was found for different species at three separate sites in the Cacapon River
(Villella et al. 2004). Due to the relatively high water and habitat quality of
French Creek, we believe that the mortality patterns at these sites are close
to natural rates and thus could be of value to future restoration assessments.
Interestingly, when focusing on later life (ages 6–10), we found that females
died at a significantly greater rate than males. Energetic costs associated
with reproductive activities, such as brooding embryos and encounters with
host fish (Barnhart et al. 2008), might increase the mortality of sexual mature
females compared to males. Females may also experience greater rates
of predation due to their greater exposure above the substrate surface while
trying to attract host fish.
Mark-recapture methods have been used to estimate mortality rates in
other mussel species, which allowed survivorship to be explored through time
(e.g., Villella et al. 2004). Catch-curve analyses yield a snapshot of mortality,
and thus we must assume that mortality is not dynamic. Villella et al. 2004
found apparent annual survivorship for three species in the Cacapon River
range from 0.50 to 0.99 over the three years of study. Our estimates, from 0.49
to 0.70 (instantaneous survivorship = 1- Z), suggest that mortality in Northern
Riffleshell is within the range of the species studied in the Cacapon.
Our back-calculated abundances of age-1 animals are meant to provide
another target for managers wishing to stock this species using young, cultured
individuals. Currently, efforts are underway attempting to raise juvenile
Northern Riffleshell in culture (G.T. Watters, Ohio State University, Columbus,
OH, pers. comm.; C. Gatenby White Sulfur Springs Laboratory, White
Sulfur Springs, WV, pers. comm.). It appears possible to culture enough
352 Northeastern Naturalist Vol. 16, No. 3
animals to stock at rates consistent with the range of variation of abundance
of back-calculated age-1 animals (approximately 105–3300 individuals in
2500 m2). However, as guidance for stocking, these numbers may misrepresent
the total numbers, since the age-1 animals in our study may already be
in suitable micro-sites and stocking may place numerous individuals into
unsuitable micro-sites. Applying a catch curve to one year’s data forces us
to assume that mortality rates hold for this younger age, but it is likely that
age-1 animals experience increased mortality rates due to higher rates of predation
from flatworms and other small predators that they quickly outgrow.
Therefore, stocking prescriptions based on these data should be best viewed
as an absolute minimum range for age-1 animals. In addition, since our viable
sites for Northern Riffleshell in French Creek occurred near other sites
with this species, sequential sites should be considered for stocking rather
than single reaches.
This study is intended as a resource for managers that are interested in
the reintroduction or augmentation of Northern Riffleshell. Relocation or
moving adult animals from one location to another may appear to offer a
strategy for restoring this species, but we suggest approaching these actions
with caution as the numbers of individuals found in reproducing populations
is much larger than previously attempted translocations (Bolden and
Brown 2002). In addition, the relatively young maximum ages observed
and relatively high natural mortality rates for Northern Riffleshell may limit
the ability to “jumpstart” new populations if small numbers of older animals
are stocked. Propagation of juveniles in culturing facilities may offer another
alternative to acquiring stock of these animals, but again our results indicate
that mortality rates may make stocking enough young animals challenging
if the goal is to have these animals survive and reproduce successfully.
Acknowledgments
Funding was provided by the US Fish and Wildlife Service through State Wildlife
Grants (SWG) Program Grant T-2, administered through the PA Game Commission
and PA Fish and Boat Commission. The Nature Conservancy (TNC) and the Western
Pennsylvania Conservancy (WPC) provided additional funding. Work was conducted
under a Scientific Collecting Permit Number 196 Type 1 granted by the Pennsylvania
Fish and Boat Commission. Todd Sampsell (WPC) secured the SWG funds and provided
oversight for the first year of field work. Cornell Biological Field Station, and
in particular, Tom Brookings provided use of and guidance for their low-speed saw.
Thanks to Alan Wolf (TNC), Krystel Bastion (Allegheny College), Dima Haliwani
(Al-Quds University), and to WPC’s Megan Bradburn (also with Student Conservation
Association, [SCA]), Amy Bush (SCA), Zachary Horn (SCA), Nathan Irwin,
Philip Kukulski (SCA), Lucas Mattera, Erica Maynard, Elizabeth Peck, and Curtis
Stumpf for invaluable field assistance. This manuscript was considerably improved
by comments from James Mckenna, the Northern Riffleshell strategy group, and two
anonymous reviewers.
2009 D.L. Crabtree and T.A. Smith 353
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