Open Access
How to translate text using browser tools
15 May 2024 Population Demographic Data from Four Populations of the Federally Endangered Rayed Bean, Paetulunio (Villosa) fabalis (Mollusca: Unionidae)
David F. Ford, Jeff Grabarkiewicz, Adam Benshoff, David A. Foltz II, Mitchell Kriege, John Spaeth
Author Affiliations +
Abstract

Paetulunio fabalis (formerly Villosa fabalis) has experienced a significant reduction in its range and is listed as endangered in both the USA and Canada. Little life history or demographic information exists for the species, but such data are critical for effective conservation. We sampled four streams in the Lake Erie and Ohio River systems of the northeastern USA that support populations of P. fabalis. For each population, we present estimates of total and relative abundance based on catch-per-unit-effort (CPUE) and quadrat sampling, the percentage of recruits, sex-specific shell length, and sex ratios. We collected a total of 572 P. fabalis among the four streams, and the species was the fifth-most abundant overall in mussel assemblages. Recruits (< 20 mm shell length) were present in all streams and made up an average of 19.2% of individuals in CPUE samples and 38.2% in quadrat samples. Shell length varied among streams, but females were consistently smaller than males. Sex ratios did not differ from 1:1 at all streams. The presence of apparently large populations, vigorous recruitment, and balanced sex ratios suggest that all four streams support healthy, stable populations of P. fabalis that warrant protection.

INTRODUCTION

Data on demographic variables, such as population size, recruitment, and sex ratios, are important components for species conservation and assessing the resiliency of populations to environmental factors (Fonnesbeck and Dodd 2003; Matter et al. 2013; Connette and Semlitsch 2015). Freshwater mussels (unionids) are one of the most endangered faunal groups in both North America and worldwide (Haag 2012; Graf and Cummings 2021). Demographic data are important for evaluating mussel population viability and responses of populations to stressors. For example, recruitment varies widely among species, populations, and years and can have a large effect on population growth (Haag 2012). Demographic data are lacking for most mussel populations, but they are urgently needed for conservation of rare and imperiled species.

Historically, the Rayed Bean, Paetulunio fabalis (formerly Villosa fabalis), was distributed throughout much of the Ohio River basin and in the Lake Erie and St. Clair drainages of the Great Lakes basin (Strayer and Jirka 1997). However, it has disappeared from much of its historical range and is now listed as endangered in both the USA and Canada (COSEWIC 2010; USFWS 2018). Little life history or population demographic information exists for the species, but such data are critical for the conservation of remaining populations.

We sampled four streams in the Lake Erie and Ohio River basins that support populations of P. fabalis. For each population, we present estimates of total and relative abundance based on catch-per-unit-effort (CPUE) and quadrat sampling, the percentage of recruits, sex-specific shell length, and sex ratios. We evaluate how these estimates differ among streams and between sexes and sampling methods. Finally, we discuss how our results inform (1) the choice of sampling methods for P. fabalis and (2) an assessment of the health of these populations.

Figure 1.

Location of study sites (stars) sampled for Paetulunio fabalis. Inset maps show the location of the study areas in (A) Ohio and (B) New York.

img-z2-1_01.jpg

METHODS

Study Area

We conducted mussel surveys in four streams that support populations of P. fabalis (Fig. 1). We surveyed one site each in Cassadaga Creek (Allegheny River drainage, Chautauqua County, New York, drainage area = 2,325 km2), Tymochtee Creek (Sandusky River drainage, Wyandot County, Ohio, 3,700 km2), and the Blanchard River (Maumee River drainage, Hancock and Hardin Counties, Ohio, 2,000 km2). We surveyed six sites in Swan Creek (Maumee River drainage, Lucas County, Ohio, 530 km2) within a 1-km section of the creek. Habitat and mussel assemblages did not differ conspicuously among these sites, and we combined data from the six sites for analysis. Sites consisted of a single stream reach (except Swan Creek) and consisted of the sample area described below.

Survey Methods

We conducted catch-per-unit effort (CPUE) timed searches and quadrat sampling at all sites, except the Blanchard River, where we did not conduct CPUE searches. Mussel surveys were conducted as part of environmental impact surveys associated with various construction projects and as part of a master's thesis project (Grabarkiewicz 2012). Effort and search methods varied among sites according to habitat conditions and study goals (see below), but all surveys focused on detecting P. fabalis. We surveyed Cassadaga Creek in June 2021, Tymochtee Creek in July 2014, Blanchard River in August 2010, and Swan Creek in September 2007 and 2010.

Table 1.

Mussel abundance in four streams as estimated by catch-per-unit-effort (CPUE, number/hour) and quadrat (number/m2) sampling. Relative abundance (percent representation in the assemblage) is given in parentheses. A dash indicates a species was not detected in sampling. CPUE sampling was not conducted at the Blanchard River.

img-z3-2_01.gif

We conducted CPUE sampling by establishing a series of 10 × 10 m cells (100 m2) at each stream. We surveyed each cell for at least 0.83 person-hours. We surveyed 54 cells (5,400 m2) in Cassadaga Creek, 40 cells (4,000 m2) in Tymochtee Creek, and 57 cells (5,700 m2) in Swan Creek, and total search time at each stream ranged from 33 to 53 person-hours (Table 1). Cells extended from bank to bank and continued upstream. We searched cells using tactile and visual methods. The latter included snorkeling, view buckets, and SCUBA, depending on stream conditions. Generally, we first conducted a visual search of the cell, followed by a tactile search, during which we raked our fingers through the substrate to a depth of about 5 cm to dislodge buried mussels, and we moved obstructions, such as woody debris or large rocks. After tactile searches, we conducted a final visual search to collect mussels exposed by the tactile search. We identified and measured shell length (nearest 0.1 mm) of all mussels encountered during CPUE sampling and then returned them to the stream. When possible, we also determined the sex of each P. fabalis based on shell morphology (COSEWIC 2010; USFWS 2018), but the sex could not be determined unambiguously for all individuals. We expressed mussel abundance estimated from CPUE sampling as number/person-hour.

Table 2.

Number of recruits observed in four populations of Paetulunio fabalis in catch-per-unit-effort (CPUE) and quadrat sampling. Recruits were defined as individuals < 20 mm shell length. CPUE sampling was not conducted at the Blanchard River.

img-z4-2_01.gif

We conducted quadrat sampling after CPUE sampling at each stream. We used a systematic sampling design with three random starts and 0.25 m2 quadrats (Christman 2000; Smith et al. 2001). We excavated substrate from each quadrat by hand to a depth of approximately 15 cm, returned the substrate to the shore, and then sieved it through 6.35 mm mesh to collect all mussels in the quadrat (Vaughn et al. 1997; Obermeyer 1998; Hardison and Layzer 2001). We sampled 980 quadrats (245 m2) at Cassadaga Creek, 384 quadrats (96 m2) at Tymochtee Creek, and 450 quadrats (112.5 m2) each at Blanchard River and Swan Creek (Table 1). We identified and measured shell length (nearest 0.1 mm) of all mussels encountered during quadrat sampling, determined the sex of each P. fabalis as described previously, and then returned all mussels to the stream. We expressed mussel abundance estimated from quadrat sampling as number/m2. For both methods substrates were visually assessed while surveying at each stream.

Data Analysis

For all streams and both sampling methods, we calculated the percentage of the mussel assemblage represented by P. fabalis and all other species detected in the samples. We estimated the percentage of recruits in the population of P. fabalis in each stream and for both sampling methods. We identified recruits using length as a proxy for age. Our definition of a recruit was any individual < 20 mm length following Smith and Crabtree (2010).

We used two separate ANOVA models to examine sources of variation in length within and among populations of P. fabalis. We tested for differences in length between sexes and among streams using a two-factor model with interaction. For this model, we pooled length observations from CPUE and quadrat sampling. We tested for differences in length between sampling methods and among streams using a two-factor model with interaction. For this model, we pooled length observations for females and males, and we omitted the Blanchard River site because CPUE sampling was not conducted there. We tested for departures from a 1:1 sex ratio in each stream and for both sampling methods using chi-square goodness-of-fit tests.

RESULTS

We detected a total of 6,173 live individuals of 26 mussel species across all streams and both sampling methods (Table 1). We detected 15 species in both sampling methods at Cassadaga Creek, 15 and 10 species in CPUE and quadrat sampling, respectively, at Tymochtee Creek, and 16 and 6 in CPUE and quadrat sampling, respectively, at Swan Creek. We detected 16 species in quadrat sampling at the Blanchard River.

Paetulunio fabalis made up a substantial percentage of the mussel assemblage in all streams, but estimates of relative abundance varied among streams and sampling methods (Table 1). At Cassadaga Creek, P. fabalis was greatly underrepresented in CPUE samples (relative abundance = 1.8%) compared with quadrat samples (22.4%). At Tymochtee Creek, estimates of P. fabalis relative abundance were similar for CPUE (14.1%) and quadrat samples (13.3%). At Swan Creek, P. fabalis was overrepresented in CPUE samples (22.0%) compared with quadrat samples (9.7%). Across all streams and sampling methods, P. fabalis was the fifth-most-abundant species (572 individuals) and represented 9.3% of all individuals.

Recruits were present in all streams, but the estimated percentage of recruits varied widely among streams and sampling methods (Table 2). The percentage of recruits was higher in quadrat samples than in CPUE samples in all streams, except Tymochtee Creek, where few P. fabalis were detected in quadrats. The percentage of recruits across streams was 3.1–49.2% (mean = 19.2%) in CPUE samples and 0.0–100.0% (mean = 38.2%) in quadrat samples. The percentage of recruits was highest for both methods in Swan Creek and lowest in Tymochtee Creek.

Length of Paetulunio fabalis varied by sex and by stream (Table 3). Sex was a significant factor in explaining variation in length, and females were smaller than males across all sites (F1,495 = 29.255, P < 0.001). Stream was also a significant factor (F3,495 = 80.165, P < 0.001), and mean length was greatest in Tymochtee Creek and lowest in Swan Creek. The sex × stream interaction term was not significant (F3,495 = 0.943, P = 0.4196), showing that length differed between sexes in a similar way in all streams. Length did not vary by sampling method. Method (F1,533 = 0.004, P = 0.949) was not a significant factor overall in explaining variation in length, but stream was (F2,533 = 17.013, P < 0.001). However, the method × stream interaction term was significant (F2,533 = 12.657, P < 0.001), showing that the effect of method on length differed among streams. There was no evidence for a significant departure from a 1:1 sex ratio in any stream or for any sampling method (Table 3).

Table 3.

Lengths and sex ratios of Paetulunio fabalis detected using catch-per-unit-effort (CPUE) and quadrat sampling in four streams. Length values are means ± SE (range). X2 and P values are results of goodness-of-fit tests for departures from a 1:1 sex ratio. CPUE sampling was not conducted at the Blanchard River.

img-z5-2_01.gif

DISCUSSION

Abundance of P. fabalis varied among streams, but all appear to support robust and healthy populations. Density of P. fabalis was comparable for Cassadaga Creek, Blanchard River, and Swan Creek (0.13–0.60/m2), but it was much lower at Tymochtee Creek (0.04/m2). However, total mussel density also was low at Tymochtee Creek (0.31/m2) compared with the other three streams (1.37–4.47/m2). Curiously, CPUE of P. fabalis at Tymochtee Creek (1.97/hour) was comparable to the other streams (1.27–4.72/hour). The discrepancy between density and CPUE estimates of P. fabalis at Tymochtee Creek could be a result of highly clustered aggregations of the species that were missed by quadrats but encountered by CPUE searches, which cover more area. Despite variation in abundance among streams, all of our abundance estimates are within the range reported for other surviving populations of P. fabalis (e.g., North Thames River = 0.016/m2; Sydenham River = 0.39–0.85/m2; Thames River = 0.74/m2; French Creek = 1.5/m2; Ohio River Valley Ecosystem Team 2002; COSEWIC 2010; Smith and Crabtree 2010; Reid and Morris 2017; USFWS 2018). Notably, abundance in Cassadaga Creek, Blanchard River, and Swan Creek was similar to abundance of P. fabalis in the Sydenham River (0.4–0.9/m2), Ontario, which supports what is considered one of the best remaining populations of the species (COSEWIC 2010; Reid and Morris 2017; USFWS 2018).

Our estimates of recruitment and sex ratios further indicate that these populations are robust and healthy. We found evidence of recruitment at all sites, and recruitment was strong at Blanchard River and Swan Creek. The amount of recruitment needed to produce stable or increasing populations is unknown for P. fabalis, but a lack of or low recruitment is a common symptom of declining mussel populations (Haag 2012; Ćmiel et al. 2020). Population models that incorporate life span, annual survival, individual growth, and other demographic parameters are needed to better interpret recruitment in the context of population viability. Sex ratios were approximately 1:1 in all four streams, a trait shared by robust, healthy populations of P. fabalis in the East Sydenham and Thames rivers, Ontario, and French Creek, Pennsylvania (Metcalfe-Smith et al. 1999; Smith and Crabtree 2010). Equal sex ratios often characterize large, stable, and outbreeding populations, whereas skewed sex ratios can characterize small, isolated populations in stressful environments (Heard 1975; Haag and Staton 2003).

In most streams, we found P. fabalis in mixtures of silt, gravel, and sand substrates, similar to substate associations reported for the species in other streams (USFWS 2018). In contrast, the substrate at Tymochtee Creek was dominated by deep silt. Silt substrate is typically considered unsuitable for P. fabalis (COSEWIC 2010), and this could partially explain the low abundance of P. fabalis and other mussel species in this stream. However, CPUE sampling revealed a substantial population of P. fabalis, including recruits, and species richness in Tymochtee Creek was comparable to the other streams. This finding may indicate that, at least in the Great Lakes region, silt substrate may be suitable to support stable populations of many species, including P. fabalis.

Our results corroborate the smaller size of females than males for P. fabalis, which is associated with other sexually dimorphic shell traits (COSEWIC 2010; USFWS 2018). Length of P. fabalis varied slightly among streams, but mean lengths were similar to those seen in French Creek (26.9 mm) and the Sydenham and Thames rivers (27.0 and 28.0 mm, respectively; Metcalfe-Smith et al. 1999; COSEWIC 2010; Smith and Crabtree 2010).

Sampling methods for mussels are selected based on the goals of a study. Quadrat sampling typically provides better estimates of the abundance of recruits or small species than CPUE because small mussels can be difficult to detect by visual or tactile CPUE sampling compared with more focused quadrat sampling, particularly if substrate excavation and sieving is used (Vaughn et al. 1997; Obermeyer 1998; Smith et al. 1999). In contrast, CPUE sampling typically provides better estimates of species richness and increased detection of highly clustered mussel aggregations because more area can be searched. Our results generally support the greater efficiency of CPUE sampling for estimating species richness and greater efficiency of quadrats for detecting recruits, but they provide mixed support for other relative benefits of these methods. Because of its small size, P. fabalis is expected to be underrepresented in CPUE sampling compared with quadrat sampling, but we saw this at only one of three sites; at the other two sites, relative abundance was either comparable between methods or P. fabalis was overrepresented in CPUE samples. As discussed previously, the latter result could have been due to highly clustered aggregations of P. fabalis that were missed by quadrat sampling. Similarly, mean size is expected to be greater in CPUE sampling than quadrat sampling because of bias against smaller individuals by the former method. We did not observe this result consistently, and mean size across sites did not differ significantly between methods. Overall, the comparable efficiency of CPUE and quadrat sampling for detecting and characterizing length distributions of P. fabalis may be explained by the focus on that species in our surveys. Nondetection of P. fabalis in CPUE sampling may be more severe when study goals are focused more broadly on the entire mussel assemblage. Nevertheless, our results show that use of both methods in conjunction can provide more robust assessments of abundance and size distributions (including occurrence of recruits), particularly when multiple surveys are conducted in a wide range of habitat types and conditions.

Our results show the existence of at least three large populations of P. fabalis that appear stable based on the presence of substantial recruitment. The status of the population in Tymochtee Creek is less clear, but the presence of substantial numbers of individuals, including recruits, in presumably suboptimal habitat suggests that large populations may exist in other habitats elsewhere in that stream. Paetulunio fabalis was reported previously from all four streams (USFWS 2018), but our site in Cassadaga Creek represents a new occurrence for the species in that stream. Although the population in Swan Creek previously was recognized as one of the largest and healthiest in the USA (USFWS 2018), little was known about the status of the populations in the other three streams. The existence of these apparently robust populations is good news for the long-term survival of P. fabalis, and it highlights the importance of protecting these streams. Additional demographic studies for these and other populations are needed to better assess their viability and outlook.

ACKNOWLEDGMENTS

We thank Working Lands Investment Partners, LLC, Empire Environmental Partners, TRC Companies, Inc., Ecological Survey and Design, LLC, and the Air and Water Compliance Group, LLC for funding various portions of this project. We also thank Jason Dickey of TRC Companies, Inc., and Casey Swecker and Thomas Jones of Edge Engineering and Science, LLC for assistance in the field, and Mike Bruening of Edge Engineering and Science, LLC for assistance with map creation. Finally, we thank Todd Crail and Hans Gottgens of the University of Toledo for assistance with portions of project creation.

© Freshwater Mollusk Conservation Society 2024

LITERATURE CITED

1.

Christman, M. C. 2000. A review of quadrat-based sampling of rare, geographically clustered populations. Journal of Agricultural, Biological, and Environmental Statistics 5:168–201. Google Scholar

2.

Ćmiel, A. M., A. Struzyński, M. Wyrębek, A. M. Lipińska, K. Zając, and T. Zając. 2020. Response of freshwater mussel recruitment to hydrological changes in a eutrophic floodplain lake. Science of the Total Environment 703:135467.  https://doi.org/10.1016/j.scitotenv.2019.135467 Google Scholar

3.

COSEWIC (Committee on the Status of Endangered Wildlife in Canada). 2010. COSEWIC assessment and status report on the Rayed Bean Villosa fabalis in Canada. Ottawa, Canada: Committee on the Status of Endangered Wildlife in Canada. Available at https://publications.gc.ca/collections/collection_2011/ec/CW69-14-194-2010-eng.pdf(accessed January 8, 2024). Google Scholar

4.

Connette, G. M., and R. D. Semlitsch. 2015. A multistate mark–recapture approach to estimating survival of PIT-tagged salamanders following timber harvest. Journal of Applied Ecology 52:1316–1324. Google Scholar

5.

Fonnesbeck, C. J., and C. K. Dodd, Jr . 2003. Estimation of flatted musk turtle (Sternotherus depressus) survival, recapture, and recovery rate during and after a disease outbreak. Journal of Herpetology 37:602–607. Google Scholar

6.

Grabarkiewicz, J. D. 2012. Habitat use and community structure of unionid mussels in three Lake Erie tributaries. Master's thesis, University of Toledo, Toledo, Ohio. Google Scholar

7.

Graf, D. L., and K. S. Cummings. 2021. A ‘big data’ approach to global freshwater mussel diversity (Bivalvia: Unionoida), with an updated checklist of genera and species. Journal of Molluscan Studies 87:1–36. Google Scholar

8.

Haag, W. R. 2012. North American Freshwater Mussels: Natural History, Ecology, and Conservation. Cambridge University Press, New York. Google Scholar

9.

Haag, W. R., and J. L. Staton. 2003. Variation in fecundity and other reproductive traits in freshwater mussels. Freshwater Biology 48:2118–2130. Google Scholar

10.

Hardison, B. S., and J. B. Layzer. 2001. Relations between complex hydraulics and the localized distribution of mussels in three regulated rivers. Regulated Rivers: Research and Management 17:77–88. Google Scholar

11.

Heard, W. H. 1975. Sexuality and other aspects of reproduction in Anodonta (Pelecypoda: Unionidae). Malacologia 15:81–103. Google Scholar

12.

Matter, S. F., F. Borrero, and C. Fleece. 2013. Modeling the survival and population growth of the freshwater mussel, Lampsilis radiata luteola. American Midland Naturalist 169:122–136. Google Scholar

13.

Metcalfe-Smith, J. L., S. K. Staton, G. L. Mackie, and I. M. Scott. 1999. Range, population stability and environmental requirements of rare species of freshwater mussels in southern Ontario. Environment Canada, National Water Research Institute Contribution No. 99–058. Burlington, Ontario. Available at  https://www.researchgate.net/profile/Gerald-Mackie/publication/291334035_Range_Population_Stability_and_Environmental_Requirements_of_Rare_Species_of_Freshwater_Mussels_in_Southern_Ontario/links/569febf808ae4af52546d663/Range-Population-Stability-and-Environmental-Requirements-of-Rare-Species-of-Freshwater-Mussels-in-Southern-Ontario.pdf (accessed January 8, 2024). Google Scholar

14.

Obermeyer, B. K. 1998. A comparison of quadrats versus timed snorkel searches for assessing freshwater mussels. American Midland Naturalist 139:331–339. Google Scholar

15.

Ohio River Valley Ecosystem Team. 2002. Status 1) for the rayed bean, Villosa fabalis, occurring in the Mississippi River and Great Lakes systems Available at  https://www.researchgate.net/ (accessed January 8, 2024). Google Scholar

16.

Reid, S. M., and T. J. Morris. 2017. Tracking the recovery of freshwater mussel diversity in Ontario rivers: Evaluation of a quadrat-based monitoring protocol. Diversity 9:1–17. Google Scholar

17.

Smith, D. R., R. F. Villella, and D. P. Lemarié. 2001. Survey protocol for assessment of endangered freshwater mussels in the Allegheny River, Pennsylvania. Journal of the North American Benthological Society 20:118–132. Google Scholar

18.

Smith, D. R., R. F. Villella, D. P. Lemarié, and S. von Oettingen. 1999. How much excavation is needed to monitor freshwater mussels? Pages 203–218 in R. Tankersley, D. I. Warmolts, G. T. Watters, B. J. Armitage, P. D. Johnson, and R. S. Butler, editors. Proceedings of the Freshwater Mollusk Symposia. Ohio Biological Survey, Columbus, Ohio. Google Scholar

19.

Smith, T. A., and D. Crabtree. 2010. Freshwater mussel (Unionidae: Bivalvia) distributions and densities in French Creek, Pennsylvania. Northeastern Naturalist 17:387–414. Google Scholar

20.

Strayer, D. L., and K. J. Jirka. 1997. The pearly mussels of New York State. Memoirs of the New York State Museum 26:1–113. Google Scholar

21.

USFWS (U.S. Fish and Wildlife Service). 2018. Rayed Bean (Villosa fabalis) 5-year review: Summary and evaluation. U.S. Fish and Wildlife Service, Midwest Region Ecological Services Field Office, Columbus, Ohio. Available at https://ecosphere-documents-production-public.s3.amazonaws.com/sams/public_docs/species_nonpublish/2669.pdf(accessed January 8, 2024). Google Scholar

22.

Vaughn, C. C., C. M. Taylor, and K. J. Eberhard. 1997. A comparison of the effectiveness of timed searches vs quadrat sampling in mussel surveys. Pages 157–162 in K. S. Cummins, A. C. Buchanan, C. A. Mayer, and T. J. Naimo, editors. Conservation and Management of Freshwater Mussels II: Initiatives for the Future. Upper Mississippi River Conservation Committee Symposium Proceedings, Rock Island, St. Louis, Missouri. Google Scholar
David F. Ford, Jeff Grabarkiewicz, Adam Benshoff, David A. Foltz II, Mitchell Kriege, and John Spaeth "Population Demographic Data from Four Populations of the Federally Endangered Rayed Bean, Paetulunio (Villosa) fabalis (Mollusca: Unionidae)," Freshwater Mollusk Biology and Conservation 27(1), 1-7, (15 May 2024). https://doi.org/10.31931/fmbc-d-22-00008
Published: 15 May 2024
KEYWORDS
endangered
life history
Paetulunio fabalis
population demographics
unionid
Villosa fabalis
Back to Top