Abstract

Shellfish have supported Indigenous lifeways on the Pacific Coast of North America for millennia. Despite the ubiquity of clamshells in archaeological sites, shell size measurements are rarely reported due to a lack of applicable basis for generating size estimates from fragmentary remains. We present a linear regression-based method for determining shell length from hinge and umbo measurements of littleneck (Leukoma staminea; n = 239), butter (Saxidomus gigantea; = 274), and horse (Tresus nuttallii; = 92) clams using both contemporary and archaeological shells collected from three regions in coastal British Columbia, Canada. We examine the accuracy of these size estimations, which indicate that 83%–97% of the variability in dorsal shell length is predicted by umbo thickness and hinge length. Hinge length generated higher R2 values yet exhibited greater intra- and inter-observer error. While the predicted dorsal length for each species differed by region, this size difference was smaller than intra- and inter-observer error, suggesting broad applicability for these simple measurements. We applied these formulae to a Tseshaht First Nation archaeological clamshell assemblage (n = 488) on western Vancouver Island spanning 3000 years and observed profiles that resemble contemporary legal size limits, which suggests the sustained use and maintenance of local shellfisheries. The accuracy of these regression models for determining shell length from fragments highlights the utility of this approach as a basis for assessing past shellfish management practices.

Introduction

Information emerging from research in archaeology and historical ecology, as well as work with traditional knowledge holders on the Pacific Coast of North America, indicate that Indigenous peoples have had an active role in managing terrestrial, coastal, and aquatic ecosystems over millennia (Deur 2005; Moss 2011; Mathews and Turner 2017). Such research highlights a diverse and well-established set of stewardship practices informed by Indigenous knowledge, including size-selective fishing technology, plant and shellfish cultivation, rights-based harvesting restrictions, and ceremonial controls that enhanced the productivity and availability of numerous habitats and resources (Deur 2005; Haggan et al. 2006; Turner and Berkes 2006; Menzies and Butler 2007; Moss 2011; Lepofsky et al. 2015). The occurrence and persistence of these Indigenous resource management practices contributed to the resilience of coastal marine ecosystems, which challenge notions of Indigenous peoples as “hunter-gatherers” or “fisher-hunter-gatherers” (Deur and Turner 2005; Moss 2011). The ongoing legacies of these sustained and intentional activities are being further examined through community-oriented research projects that draw together a variety of techniques and knowledge sources, including archaeological data, with the aim to restore ecosystem function as well as revitalize relationships between people and marine foods (Augustine and Dearden 2014; Hatch et al. 2023).
Shellfish are among the most prolific and ubiquitous evidence of edible foods encountered in archaeological sites throughout the Northwest Coast (Moss 2013). Several species of clam and mussel commonly occur, with littleneck (Leukoma staminea), butter (Saxidomus gigantea), and horse (Tresus nuttallii) among the most prominent bivalves. These burrowing intertidal animals occur in soft sediments (i.e., mud, sand, gravel, and mixed substrates) and are harvested as a reliable and nutritious source of food extending back to some of the earliest documented settlements in the region that have preserved evidence (e.g., Fedje et al. 1996; Cannon et al. 2008; McLaren et al. 2011; Toniello et al. 2019). As documented in ethnographic accounts and oral histories, clams have key cultural significance (Moss 1993, 2013; Deur et al. 2015) in addition to their important role in local economies and food systems (Ellis and Swan 1981; Deur et al. 2015). This emphasis is consistent with archaeological evidence, where massive quantities of clams and other invertebrate species occur in “shell midden” deposits observed throughout the coast. Landforms composed of abundant shell have also been interpreted as monumental landscape features, where previous harvests are purposefully used as geoengineering material, altering coastal geomorphology, and shoreline configurations (Blukis Onat 1985; Grier et al. 2017; Letham et al. 2020). Archaeological investigations into past shellfish harvesting locations, coupled with traditional knowledge and ecological science, have demonstrated the enduring use of intertidal “clam garden” features. Clam gardens are cleared beaches with rock-wall terraces built at low tide, which elevate the beach and trap sediment thereby increasing clam habitat, growth and productivity, harvesting accessibility, and help ensure food security for coastal communities (Groesbeck et al. 2014; Lepofsky et al. 2015; Jackley et al. 2016; Lepofsky et al. 2021).
However, despite the recognized importance of clams and other invertebrates, quantitative analyses of recovered shellfish assemblages remain infrequently reported in archaeological research. To date, research on Northwest Coast shellfish has largely involved evaluating taxonomic abundances based on count and weight data obtained from sediment samples with a strong focus on seasonality and harvest intensity (Ham and Irvine 1975; Keen 1979; Cannon et al. 2008). More recent sclerochronological studies have involved high resolution δ18O analysis, offering both palaeoceanographic proxy data and season-at-harvest estimates (Daniels 2009; Burchell et al. 2013). For example, Leclerc et al. (2023) examined 30 butter clam shells recovered from four archaeological assemblages on the south coast of BC to measure seasonality and palaeotemperature trends spanning the last 1000 years. Additionally, this study assessed harvest intensity by comparing the proportion of senile and mature-stage clams using 662 thin-sectioned shell margins following the methods in Cannon and Burchell (2009). Such comparative approaches assessing clam growth stages (i.e., juvenile, mature, senile) indicate that shellfish were harvested less intensively in the vicinity of long-term residential sites as opposed to short-term encampments (Cannon and Burchell 2009). Working to integrate archaeology, ecology, and Indigenous knowledge relating to clam gardens, research teams on Quadra Island (BC) examined butter clam age, size, and growth rates from walled and nonwalled beaches to assess the relative role of clam gardens and environmental conditions in promoting clam growth throughout the Holocene (Toniello et al. 2019). While these and similar studies have substantial analytical utility, these approaches are often relatively expensive and time-consuming, and due to fragmentation, often lack size information.
Considering existing archaeological approaches for characterizing shellfisheries, size represents a foundational metric for comparing harvests and evaluating harvest pressure, both spatially and temporally (e.g., Botkin 1980; Mannino and Thomas 2002; Braje et al. 2007; Erlandson et al. 2008; Thakar 2012; Klein and Steele 2013). Yet, zooarchaeological research examining shell size remains rare. To date, only a handful of studies include size data, although they are typically limited by the number of intact valves, as most shellfish remains in archaeological sites are fragmented due to compaction, weathering, and the passage of time. While some archaeologists have developed predictive equations to estimate the sizes of individual clam valves using contemporary specimens (e.g., Daniels 2014; Grone 2020), these studies have been limited to a specific species or study area and have tended to ignore geographic variability and measurement uncertainty. Earlier research (e.g., Croes 1992; Moss 1993) rely on “average” meat weights using modern clams and apply these formulae to estimate the proportional biomass (g) of recovered shellfish remains to measure the contribution of shellfish to human diets. Whereas such approaches help address a key aspect of Indigenous foodways, the lack of detailed size data limits current understandings of the cultural and environmental factors that influence clam harvest profiles (e.g., management protocols and practices, predator-prey relationships, ecological productivity, and relative stability in size-at-harvest profiles).
Here, we show that a regression-based approach utilizing shell fragments provides basic size data that are relevant for understanding historical baselines and past resource management strategies. As shell size is a foundational metric that can enable size-at-age biomass and caloric value estimates, research examining size-at-harvest—irrespective of age—is an important first step in characterizing shellfisheries practices. Moreover, since size is the most basic and easily determined metric for broadly assessing shellfish across sites and is integral to contemporary management (i.e., legal size limit), more attention to shell size is needed.
Considering the allometric scaling relationship between the morphological features of an organism and its body size, archaeologists are increasingly applying methods that can infer the body size distributions of prey harvested by people based on partial or fragmentary remains. In coastal archaeology, such scaling relationships have been observed for a range of fish and shellfish taxa, including California mussel (Mytilus californianus) (Campbell and Braje 2015; Singh et al. 2015; Singh and McKechnie 2015; Braje et al. 2018). These studies have shown how shell length can be accurately predicted using measurements of morphological landmarks, such as the umbo and hinge, which demonstrate strong linear relationships.
Like other molluscs, clam growth is nonlinear (i.e., growth rates slow once reaching maturity). While the relationship between size and age is nonlinear, there is a general allometric scaling relationship between an individual’s overall size and other morphological features. For each species of clam considered here, maturity is typically achieved around 3 years (Table 1). Based on these life history characteristics (Table 1), managers have established size limits for legal harvests (i.e., minimum size limit), which in BC are 35 mm for littleneck and 55 mm for butter clam, while there is no size limit for horse clam although harvesters are limited to six individuals (Department of Fisheries and Oceans 2023). These size limits are based on contemporary biological data for size at maturity, which incorporate size-at-age and are intended to allow clams the opportunity to spawn at least once before achieving legal size (Bourne 1987). While size-at-first reproduction is a plastic life history trait in marine invertebrates and can be driven by predation or other size-selective pressures (Hadfield and Strathmann 1996; Chase 1999), it is a generalized biological observation which often forms the basis for contemporary conservation and management.
Table 1.
Table 1. Overview of life-history characteristics of littleneck, butter, and horse clams, including the size-at-maturity, maximum size, age-at-maturity, maximum age, the legal size limit, and source information.
SpeciesSize-at-maturity (mm)Max size (mm)Age-at-maturity (years)Max age (years)Legal size limit (mm)*Source
Littleneck Leukoma staminea22–357531435Quayle (1943); Quayle and Bourne (1972); Bourne (1987)
Butter Saxidomus gigantea33–4312032055Gillespie and Kronlund (1999); Gillespie and Bourne (2004)
Horse Tresus nuttallii70200322NABourne and Harbo (1987); Lauzier et al. (1998)

Note: While horse clam has no legal size limit, harvesters are only permitted six individuals at a time. Note that all size and age information are approximate values.

Like all organisms, a host of environmental and biological factors can influence the growth, morphology, and body size of shellfish across ecological settings and evolutionary time scales. For example, temperature, pH, productivity, nutrient runoff, and wave exposure have been shown to influence mussel growth, shell thickness, and size (Suchanek 1981; Blanchette et al. 2007; Pfister et al. 2016; Black et al. 2017; Darrow et al. 2017). Another factor influencing size and morphology is the effects of predators, such as sea otters (Enhydra lutris), which reduce the size structure of bivalve populations (Kvitek et al. 1992; Singh et al. 2013). On northern Quadra Island in coastal BC, clam growth rates and sizes have been shown to vary across different time periods over the past 11 500 years, owing to a combination of changing environmental conditions and varying Indigenous stewardship practices (Toniello et al. 2019). On Vancouver Island specifically, clam growth rates and size are also known to vary geographically in association with environmental conditions (Foster 2021). Yet, growth rates (i.e., size-at-age) are often difficult to assess in archaeological contexts, and in some cases is challenging to decouple the environmental conditions that influence clam growth (e.g., productivity, temperature, etc.) from cultivation protocols that are known to influence shellfish growth (i.e., clam gardens) (Groesbeck et al. 2014; Jackley et al. 2016). However, allometric scaling relationships pertaining to size remain generally constant despite the rates of growth that conspecifics can experience under different conditions. Given the many sources of variation in clam growth and size, the question arises: does this variation influence the morphology of shell valves and their scaling relationship to body size? Furthermore, can these relationships be applied reliably in archaeological settings where fragmentary shellfish remains are common and tend to have low chronological and spatial resolution?
Here, we present a measurement-based method for determining shell length (mm) from the fragmentary remains of littleneck, butter, and horse clams using linear regression formulae. We examine the strength and regional applicability of these formulae and develop measures of uncertainty and reliability for three regions in coastal BC, Canada. We then apply these to demonstrate continuity in archaeological clamshell sizes from a 3000-year-old assemblage in Tseshaht First Nation Territory on western Vancouver Island. This approach can be used to better understand historic shellfisheries’ practices and provide researchers an opportunity to assess magnitudes of change in size-at-harvest over millennia of human-clam relationships on the Northwest Coast. Given the limited information relating to long-term social–ecological interactions in the region, further efforts aimed at generating preindustrial size-at-harvest information for these commercially and culturally valued species can contribute to resilient marine resource management policies and practices today. Here, we aim to offer a simple, broadly applicable and reliable method to estimate shell size in archaeological settings, which represents a fundamental step in characterizing ancient Indigenous shellfisheries’ practices.

Materials and methods

Sample selection

To develop our regression-based method for estimating the size profile of fragmentary clam shell valves, we first compiled contemporary (i.e., modern) clam shells collected from various intertidal locations in coastal BC, Canada (Table 2). To supplement this dataset, we drew upon two archaeological clamshell assemblages in Barkley Sound. Across the three sampling regions and two temporal periods considered in our models, we selected whole (i.e., complete) shell valves of varying sizes and conducted measurements of the hinge and umbo to examine the relationship of these structures to the total shell length (i.e., dorsal length). For all clam shells considered in this study, we measured only left or right valves for each sampled location and temporal period to eliminate the chance of repeat measurements on the same individual specimen. To test the reliability of the regression formulae, we compiled a separate sample of whole shell valves recovered from archaeological and intertidal settings in Barkley Sound. To complement these data, we drew upon an archaeological sample of both well-preserved and fragmentary shell valves recovered in fine-screen column samples from the settlement site of Kakmakimilh (Keith Island; 306T, DfSh-17), located in the Broken Group Islands, Tseshaht First Nation Territory, Barkley Sound, BC (Fig. 1; McKechnie 2015; Hillis et al. 2020; see Supplementary material).
Table 2.
Table 2. Sampling regions of contemporary and archaeological clam specimens used in this study, including the number of individual specimens (n) for each region and species.
Sample regionLittleneck (n)Butter (n)Horse (n)
Regression models
Central Coast (Triquet Island)401527
Salish Sea (Quadra Island)708433
Barkley Sound (Contemporary)679022
Barkley Sound (Archaeological)628510
Total23927492
Archaeological   
Kakmakimilh15725972
Observed versus predicted comparison
Barkley Sound (Contemporary)1449431
Kakmakimilh (Subsample)45776
Total18917137

Note: To develop the regression models, contemporary shells were collected from all regions, while Barkley Sound (Ancient) reflects well-preserved shells recovered from two archaeological sites in the area (i.e., Kakmakimilh and Tl'ihuuw'a). All archaeological clam shells used to apply the models in an archaeological context were recovered from the Tseshaht First Nation village site of Kakmakimilh (306T, DfSh-17). To test the reliability of the regression models, a subsample of complete archaeological shell valves from Kakmakimilh and contemporary specimens from Barkley Sound were examined.

For our linear regression models, we measured a total of 239 littleneck (Leukoma staminea), 274 butter (Saxidomus gigantea), and 92 horse (Tresus nuttallii) clam valves from various ecological settings around Vancouver Island and the Central Coast of BC (Fig. 1; Table 2). All contemporary specimens were collected across a range of productive coastal embayments on Quadra Island (n = 187), Triquet Island (n = 82), and Barkley Sound (n = 179) (Table 2). All complete archaeological specimens included in the development of the linear regressions were opportunistically obtained directly from excavation units at Kakmakimilh (n = 61) and Tl'ihuuw'a (n = 96) and reflect well-preserved whole shell valves.
Together, the geographic areas encompassed in these sampling locations reflect diverse ecological settings with the potential for significant variability in growing conditions (Quayle and Bourne 1972; Foster 2021). This geographic variation has the potential to capture a wide range of potential clam morphologies, thereby allowing us to test the strength and broad applicability of the size prediction models. Contemporary clam shells of various sizes were opportunistically collected from intertidal settings at mid-to-low tides (i.e., clams likely came from both subtidal and intertidal depths). Recovered clam valves likely represent a mixture of mortality events, by-products from foraging activities by predators, and harvests by people. Shell conditions ranged from relatively smooth and unfouled to slightly waterworn as a result of exposure to wave action and weathering.
To compare our size estimates using these regression models against an observed distribution, we drew upon an additional sample of whole shell valves recovered from archaeological and beach-collected settings in Barkley Sound. In total, we measured an additional 189 littleneck, 171 butter, and 37 horse clam valves (Table 2). Of these, all contemporary specimens were opportunistically collected from beach surfaces at čaačaac̓ʕas (n = 76), Hiikwis (n = 180), and various other locations in Barkley Sound (n = 13). To supplement this dataset further, we incorporated all well-preserved (i.e., whole) shell valves recovered from fine-screen column samples at Kakmakimilh (n = 128). Of this archaeological subsample, a total of 45 littleneck, 77 butter, and 6 horse clam shell valves were included in this analysis.
We applied these regression models to an archaeological assemblage, including both intact and fragmentary clam valves recovered from the Tseshaht village site of Kakmakimilh (Fig. 1). Of the 488 archaeological clam shells analyzed, 157 were littleneck, 259 were butter, and 72 were horse (Table 2). All archaeological clam shells included in this analysis were recovered from column samples, involving the recovery of bulk sediments from small-volume, fine-screened “columns” of sediment recovered from the sidewalls of larger excavation units (McKechnie 2005).
Fig. 1.
Fig. 1. Map depicting the three sampling regions for contemporary beach collected specimens (i.e., Central Coast, Salish Sea, and Barkley Sound), including the four sampling locations in Barkley Sound (i.e., čaačaac̓ʕas, Hiikwis, Kakmakimilh, and Tl'ihuuw'a). The examined archaeological clam shells were recovered from the Tseshaht First Nation villages of Kakmakimilh and Tl'ihuuw'a in Barkley Sound. Map and insets created by Robert Gustas and used with permission. Main panel and Lower inset: NAD 1983 datum, Albers projection, shapefile data from Gustas and Holmes (2018), Census.Gov, and GeoBC Branch (Open Government Licence and US Open Data Policy M-13-13). Upper inset: WGS 1984 datum, Web Mercator projection, shapefiles data from Census.Gov.

Measurement criteria

For each species of clam used in this study, we selected morphologically distinctive features on the shell (e.g., the length of the hinge, the thickness of the umbo, and the dorsal length) to develop our regression formula (Fig. 2). Moreover, the morphological landmarks on the umbo and hinge are based on stable and repeatable morphometric relationships observed in other bivalve taxa (e.g., Singh and McKechnie 2015). As these attributes form the most robust portion of the shell (e.g., umbo and hinge), are often quantified in small-volume archaeological samples and are taxonomically diagnostic, we focused our measurements on these distinctive features.
Fig. 2.
Fig. 2. Measurements on littleneck, butter, and horse clams for generating linear regression models to estimate dorsal shell length. The solid red lines depict the widest distance (i.e., where the measurement is taken), while the dotted red lines show how individual shells may diverge in morphology. Thus, analysts must ensure the widest distance is captured. Illustrations by Morgan Holder and used with permission.
While the three measurement types developed for this study attempt to capture a range of shell morphologies, researchers are encouraged to use the following overview to ensure greater consistency and comparability. As shown in Fig. 2, for the dorsal length measurement, the solid red line depicts the widest distance across the shell valve (i.e., where the measurement is taken), while the dotted red lines show how individual shells may diverge in morphology. Therefore, analysts must ensure the widest distance is captured when measuring dorsal length. For the hinge measurement, the solid red line depicts the distance between the “notch” (where the beak and teeth converge) to the posterior end of the ligament groove. For horse clam, however, the ligament groove is less distinct; thus, the measurement is taken from the “notch” to the point at which the posterior slope transitions to the posterior region of the shell valve (i.e., the point at which the hinge melds into the siphon end). For the umbo measurement, the solid red line depicts the distance across the teeth and umbo. Note that for the umbo measurement, analysts must place their calliper directly in line with the central tooth for greater consistency.
Regression formulae used in this study are based on bivariate plots comparing umbo and hinge measurements to dorsal length. As contemporary shells were collected from intertidal beach deposits, conditions varied substantially, which broadly resembles taphonomic processes found in archaeological deposits. Recognizing the potential for considerable variation in shell size and shape within a given intertidal area and across centuries or millennia (Singh and McKechnie 2015; Thakar et al. 2017), by focusing our morphometric measurements on these distinctive features, our goal was to predict dorsal shell length with reasonable accuracy.
To build the predictive models, we used a simple ordinary least squares regression formula (Table 3). Because shell valves recovered from archaeological assemblages are overwhelmingly fragmentary, we created predictive models using multiple morphological features on individual clam shells to account for differences in shell conditions commonly encountered in archaeological assemblages (Fig. 2). While this method reveals differences in predictive strength for the various morphological features, the value of this approach is that uncertainty can be estimated across species and measurement types.
Table 3.
Table 3. Regression equations for estimating the dorsal length of littleneck, butter, and horse clams from measurements (mm) of the umbo and hinge using contemporary specimens, including the R2 values, the residual standard error (±), and sample size (n).
SpeciesMeasurement descriptionRegression equationR2 valueStandard Error (± mm)n
LittleneckUmboLength = 5.88 x + 6.930.883.68239
LittleneckHingeLength = 1.6 x + 10.50.913.12239
ButterUmboLength = 8.51 x + 4.920.836.83274
ButterHingeLength = 1.54 x + 11.790.885.69274
HorseUmboLength = 6.32 x + 17.230.949.3792
HorseHingeLength = 1.74 x + 12.390.977.492
Additionally, we tested for regional variation in the scaling relationship between dorsal length and measures of the umbo and hinge. We performed analyses of covariance on a series of nested models that included region as an interaction term and then compared them to a reduced model for each species (Table 3). This was done to assess the applicability of this approach to other ecological settings along the Northwest Coast.
To quantify measurement uncertainty for both the contemporary and archaeological clam shell assemblages, we conducted multiple measures of each measurement type to assess intra- and inter-observer error (i.e., consistency). For contemporary clam shells, inter-observer error was calculated by measuring a random subsample of 10 individual clams for each species using each measurement type by three analysts (i.e., Observer 1, 2, and 3). The standard deviation for each measurement type was averaged across the 10 control samples for each species to produce the mean of the standard deviation. Inter-observer error for clams recovered from archaeological deposits was calculated in the same way as that for modern clams. Finally, intra-observer error is based on repeat measures taken by Observer 1 at the beginning, middle, and end of the analysis. All statistical analyses were conducted in R (v 4.2.2).

Results

Dorsal length estimates

All linear regressions used in this study show a strong predictive relationship, which indicates a close association between dorsal length and measures of the umbo and hinge (Fig. 3). Across all clam species, the R2 values indicate that 83%–97% of the variability in shell length can be predicted based on umbo thickness and hinge length alone (Table 3).
Fig. 3.
Fig. 3. Linear regressions of littleneck (n = 239), butter (n = 274), and horse (n = 92) clams comparing hinge length (mm) and umbo thickness (mm) to dorsal length (mm). Sampling regions are demarcated by symbols and colors; Barkley Sound (A) represents archaeological specimens, while Barkley Sound (M) documents modern (i.e., contemporary) shells. Note that the blue line represents the line of best fit, the grey shaded area represents the 95% confidence interval of the line of best fit, and the red dotted lines represent the 95% prediction interval.
Despite the strength of these linear regressions, uncertainty associated with regional variation between clam populations must be considered to the extent that it could affect the scaling relationships in clam morphology. When we tested for an effect of regional variation on dorsal length, we found statistical support for region-specific intercepts among all three bivalve species using both the umbo and hinge models (see Supplementary Table S1). This suggests modest regional differences in dorsal length for a given umbo or hinge size. For instance, littleneck and butter clams collected from Barkley Sound have relatively larger hinges than clams of the same dorsal length from the Central Coast or the Salish Sea (Fig. 3). We did not, however, detect a significant effect of region on the scaling relationship between umbo thickness and dorsal length for any of the clam species used in our study. Specifically, there was no statistical support for region-specific slopes (butter F(3,272) = 0.38, p = 0.77; littleneck F(3,237) = 0.85, p = 0.47; horse F(3,90) = 1.07, p = 0.37) (see Supplementary Table S1). For the hinge models, we did not detect an effect of region on the scaling relationship between hinge length and dorsal length of littleneck clam (F(3,237) = 0.38, p = 0.76). We did, however, find statistical support for region-specific slopes for butter (F(3,272) = 3.82, p = 0.01) and horse (F(3,90) = 4.57, p = 0.005) clam (see Supplementary Table S1).

Intra- and inter-observer error

Irrespective of species, hinge length consistently generated the largest intra- and inter-observer error compared to other measurement types (Table 4). This is likely due to increased measurement variability associated with the hinge as opposed to the umbo or dorsal surface due to less distinctive morphological markers on the hinge. The mean of the standard deviation across 10 randomly resampled individuals for each species (i.e., inter-observer error; n = 30) is equal to or less than 0.69 mm for each measurement type, with the exception of hinge length for horse clam (1.26 mm). For intra-observer error, the mean of the standard deviation indicates that the hinge is the most variable measurement type across all species (Table 4). The inter-observer error of archaeological specimens suggests there is moderately greater variation across measurement types and species when multiple analysts are examining the same individual specimens, as would be expected. The mean of the standard deviation shows that inter-observer error does not exceed 1.0 mm, apart from hinge length for horse clam (1.25 mm; Table 4).
Table 4.
Table 4. Uncertainty estimates were generated by averaging the standard deviation across 10 control samples for each measurement type (n = 3) for each species under consideration (n = 3).
SpeciesMeasurement descriptionIntra-observer error (mm)Inter-observer error (mm)
LittleneckDorsal0.120.21
LittleneckUmbo0.160.52
LittleneckHinge0.691.0
ButterDorsal0.230.26
ButterUmbo0.150.22
ButterHinge0.630.38
HorseDorsal0.410.31
HorseUmbo0.550.52
HorseHinge1.261.25

Note: Intra-observer error (mm) is based on three repeat measures of each control sample taken at the beginning, middle, and end of analysis by Observer 1. Inter-observer error (mm) is calculated from the average value for each control sample measured by Observer 1 (n = 3) and measurements of each control sample by Observers 2 and 3.

When we consider intra- and inter-observer error regarding regional variation, the increased precision in predicted dorsal length with the region-specific models is comparable to or less than the uncertainty associated with intra- and inter-observer error when scaled to the response variable (i.e., dorsal length) (see Supplementary Figs. S2–S7). Therefore, even though we found statistical support for an effect of region on dorsal length, we chose to use the reduced regression model that predicts dorsal length as a function of umbo thickness or hinge length across all regions.

Evaluating regression formulae using archaeological and beach collected shell valves

To test the reliability and applicability of the regression formulae, we compared size estimates using the umbo and hinge models against an observed distribution using whole valves recovered from archaeological and beach-collected settings in Barkley Sound (Fig. 4). Based on this sample, the observed median dorsal length for complete littleneck, butter, and horse clams are nearly identical to those generated using the umbo models (Table 5). In contrast, the hinge models tend to overestimate dorsal length for littleneck, butter, and horse clams (Table 5; see Supplementary Figs. S8–S10). Similarly, the predicted dorsal length using the hinge model consistently produces slightly larger median length estimates than the umbo (Table 5). For littleneck clam, the estimated median dorsal length is significantly larger using the hinge (Wilcoxon rank test, W = 12 527, p = <0.0001, n = 189) when compared to the known size distribution, while the umbo is not (W = 19 130, p = 0.2322, n = 189; see Supplementary Table S2). For butter clam, the hinge approaches a statistically significant relationship (W = 13 100, p = 0.0965, n = 171) while the umbo does not (W = 15 267, p = 0.4798, n = 171; see Supplementary Table S2). For horse clam, the estimated median dorsal length is not significantly larger using either the hinge (W = 593, p = 0.3272, n = 37) or the umbo (W = 646, p = 0.6830, n = 37; see Supplementary Table S2). Moreover, for all three species, the hinge is consistently associated with an increased intra- and inter-observer error (Table 5). Therefore, the umbo measurement produces more accurate dorsal length estimates than the hinge.
Fig. 4.
Fig. 4. Barkley Sound comparison of observed (orange) dorsal lengths (mm) to the predicted size estimates for littleneck (n = 189), butter (n = 171), and horse (n = 37) clams using the hinge (pink) and umbo (blue) models (Table 2). This includes both contemporary beach-collected specimens and complete valves recovered in column samples at Kakmakimilh.
Table 5.
Table 5. Comparison of the regression-based estimates and observed clam sizes (Dorsal Lengths, DL) for the sample of whole archaeological clam shells and additional modern shell valves collected from Kakmakimilh, Hiikwis, and čaačaac̓ʕas in Barkley Sound using the regression formula presented in Table 2.
SpeciesRegression typeMedian Dorsal Length (mm)Mean DL (mm)SD DL (mm)n
LittleneckObserved47.246.47.9189
LittleneckUmbo47.045.67.7189
LittleneckHinge51.050.36.8189
ButterObserved62.261.111.6171
ButterUmbo61.760.412.0171
ButterHinge63.563.311.7171
HorseObserved80.083.425.337
HorseUmbo82.186.627.937
HorseHinge84.087.223.837

Note: Note that only complete valves (i.e., with all three measurement types) are presented. SD, standard deviation.

By applying these regression formulae (Table 3) to the archaeological clamshell assemblages at Kakmakimilh, we generated an Indigenous size-at-harvest profile showcasing size distribution from column samples using preserved hinge and umbo fragments (Fig. 5). The median estimated dorsal lengths generated from the umbo model for littleneck, butter, and horse clams are 37.4, 50.7, and 71.6 mm, respectively (Table 6).
Fig. 5.
Fig. 5. Estimated archaeological size frequency distributions for three clam species using the umbo model, encompassing three millennia of clam harvesting efforts at Kakmakimilh in Barkley Sound. Contemporary legal size limits for littleneck and butter are indicated by lines A and B, respectively.
Table 6.
Table 6. Archaeological dorsal length (mm) estimates based on the umbo model presented in Table 3, including median, mean, standard deviation (SD), and sample size (n), representing three millennia of Indigenous clam harvesting at Kakmakimilh in Barkley Sound.
SpeciesRegression typeMedian DL (mm)Mean DL (mm)SD DL (mm)n
LittleneckUmbo37.438.67.5157
ButterUmbo50.752.712.1259
HorseUmbo71.676.622.072
While it is well recognized that the growth rate and ontogeny of clams are nonlinear, the strength of these linear-regression models indicates that the relationship between the umbo, hinge, and dorsal length is appropriately captured for clams across the wide range of sizes we sampled. These results highlight the suitability of these morphometric markers (especially the umbo) for refining estimates of clam size frequency distributions in archaeological settings despite minor differences in dorsal length between regions.

Discussion

We observe a strong linear relationship between the length of the hinge, the thickness of the umbo, and the dorsal length of littleneck, butter, and horse clams, irrespective of the sampling region or temporal periods examined in this study. For the species considered in this analysis, 83%–97% of the variation in shell length is captured in these linear regression models. These findings indicate that this method provides an effective technique for estimating the dorsal length of clam shells from fragmentary valves, which are overwhelmingly common in archaeological deposits. While differences in ecological processes between regions and time periods can certainly influence the harvested size of clams, the allometric relationship between these variables adequately captures such variation. Furthermore, the strength of these linear regressions highlights the value of using a simple method as a widely applicable first step in understanding broad spatiotemporal trends in harvested clam size. Moreover, as clam shell fragments regularly comprise the majority of coastal shell-midden deposits across the Northwest Coast, this method has the potential to repurpose an underutilized and overlooked source of archaeological information, as well as retrospectively add detail to existing sclerochronological studies where analysis occurred on fragmentary shells retaining the umbo or hinge.
Our examination of archaeological clam length distribution profiles indicates that the median size of ancient clam harvests at Kakmakimilh closely resembles contemporary size limits established in fisheries management (Department of Fisheries and Oceans 2023). While ecological processes and stewardship practices, such as clam gardening, can influence the relationship between size-at-age, the Kakmakimilh size data offer a historically grounded size-at-harvest baseline from which further research can build upon. Given that these size-at-harvest profiles span 3000 years of human use and are broadly comparable to contemporary legal size limits (Fig. 5), we interpret these findings as evidence of sustained use and as an indication of size-based clam management practices. These findings highlight the resilience of this social–ecological system and support other data documenting Tseshaht peoples’ participation in pre-industrial marine food webs and the role of shellfisheries in fostering community food sovereignty and security (McKechnie 2015; Efford 2019; Hillis et al. 2020; Slade et al. 2022; Popken et al. 2023). We anticipate that further research will explore these data over time, including ongoing research in Barkley Sound (Gustas et al. 2022; Barclay et al. 2024), and in other coastal regions to better understand the nuances of Indigenous shellfish management practices and the ecological effects of millennia of human-clam relationships.
These findings highlight the applicability of a simple and efficient method for estimating the size-at-harvest of three clam species commonly found in coastal archaeological assemblages. A further strength of these models is the inclusion of clams from a broad geographic range as well as both modern and preindustrial periods, as these data span varied environmental conditions. While we do observe modest regional differences in dorsal length for a given umbo or hinge size, the scaling relationship across species and regions is the same. Given the increased uncertainty associated with intra- and inter-observer error compared to regional variation, we chose to use a reduced model to appeal to a broad range of practitioners working across the coast. Despite more complex multivariate approaches to shellfish size prediction that can achieve greater precision (e.g., McFarland et al. 2023), our results suggest that a simple linear model is sufficient to capture a broad, inclusive signal of clam size across the three species examined. Moreover, the accessibility of this method offers future research teams the ability to generate comparable data through a standardized morphometric approach (e.g., Fig. 2), while its simplicity provides opportunities to involve people from diverse and nonscientific backgrounds in data collection and analysis. We envision that more complex and regionally specific datasets could be added to test for any deviations, such as growth rates, environmental variability, sea level and climatic changes, predation, and (or) ontogeny.
The strong relationship between umbo thickness and dorsal length provided the most robust predictions and is supported by broader allometric scaling relationships observed across species and taxonomic phyla (e.g., West et al. 1999). As the umbo often forms the most robust portion of a shell, has distinct species-specific morphological landmarks, and is less affected by inter-observer error, we recommend researchers focus measurement efforts on the umbo rather than the hinge. Moreover, in archaeological investigations, the umbo is regularly used to estimate the proportional abundance of bivalve taxa (i.e., “Minimum Number of Individuals”) as each umbo is nonrepeatable and can be sided (Giovas 2009). Indeed, clam size is particularly relevant for quantifying bivalves recovered from small-volume, fine-screened archaeological “bulk” or “column” samples, as this can enable counts of individual clams per liter of sediment. While beyond the scope of this current study, we envision future research developing shell length-to-weight conversion factors (e.g., Bradbury et al. 2005; Barber et al. 2012) as a first step in exploring proportional clam biomass as well as generating estimates of biomass represented in archaeological deposits (e.g., clam meat weight per liter of sediment). With such data, researchers will then be able to scale up analyses from small volume samples to investigate shifts in harvested shellfish biomass over time (e.g., harvested clam biomass per century) and contribute to research on past human diet, demography, and the ecosystem effects of millennia of Indigenous harvests.
While numerous environmental and cultural factors can influence clam growth, resulting in clams of the same age exhibiting variability in size, the allometric scaling relationship we observe between morphological features provides a general basis for establishing size as a useful metric irrespective of age. Indeed, the close and predictable relationship between dorsal length and the umbo and hinge makes this a practical approach for determining size-at-harvest. We also recognize that examining size alone may not accurately capture the frequency at which a population is harvested (i.e., harvesting intensity). Yet, such an approach has the potential to be combined with size-at-age methods and sclerochronological studies involving geochemical analyses, which often rely on fragmentary shell valves lacking size estimates, to help refine the relationship between size and age. Assessing any deviations from a typical allometric growth relationship could also be used to identify differences in environmental conditions between populations. Researchers may also opt to utilize this approach as a stand-alone method to better understand the size-selective preferences and protocols of Indigenous harvesters, the relative contribution of clams to ancient foodways (i.e., harvested clam biomass), and the influence of nonhuman predation pressure (e.g., otters, sea birds, crabs, etc.), among other applications.
The development of a simple linear regression-based methodology for evaluating size-at-harvest profiles from fragmentary clamshells can deepen contemporary knowledge about the enduring and millennia-old relationships between shellfish and Indigenous peoples across the Northwest Coast. Our approach addresses a methodological gap as archaeologists increasingly recognize the role of clam gardens and traditional management practices in supporting Indigenous food systems (e.g., Jackley et al. 2016). Yet, much of recent research on archaeological clam shells has focused on more complex methods, such as sclerochronological geochemistry (e.g., Burchell et al. 2013; Schöne et al. 2020) and size-at-age relationships (Toniello et al. 2019). Many of these studies rely on small-volume sediment samples with high degrees of fragmentation and, accordingly, often lack more basic information on shell sizes. Earlier studies that do report shell size data (e.g., Wessen 1982; Coupland et al. 2003) occurred at large-scale multi-year excavation projects. Therefore, size-at-harvest represents a neglected field of research that can contribute to efforts aimed at revitalizing Indigenous food systems today. We envision this simple measurement-based approach as a suitable first step for generating abundant size-at-harvest data across broad spatial, temporal, or environmental scales. Other research efforts focused on characterizing size-at-age may also find utility in having a standardized approach for measuring the various morphological attributes of clamshell valves. Ultimately, such data can help extend perspective on ecological integrity and ecosystem recovery trajectories (Wickham et al. 2022; Gann et al. 2019; Reeder-Myers et al. 2022) and better understand the historical conditions under which humans and clams persisted over millennia, which is essential for establishing appropriate and culturally relevant conservation objectives today.

Acknowledgements

We thank the Tseshaht First Nation for the privilege of conducting archaeological research in their hahuulhi (traditional territory) and for supporting and participating in the Kakmakimilh Archaeological Project. Special thanks to the project co-director and designated Tseshaht representative, Denis St. Claire, for overseeing archaeological excavations and for his ongoing support and guidance. Thanks also to the staff at Pacific Rim National Park Reserve, Tseshaht Beach Keepers, Bamfield Marine Sciences Centre, and the Department of Anthropology at the University of Victoria (UVic), as well as the many students, volunteers, Tseshaht archaeologists, cooks, and cultural workers. We are grateful to Huu-ay-aht, Wei Wai Kum, Wei Wai Kai First Nations, Heiltsuk, and the Hakai Institute for supporting intertidal sampling efforts at čaačaac̓ʕas and on Quadra and Triquet Islands. We further thank Robert Gustas, Tommy Happynook, Justin Walker, Sophia Lynn, and Jasmin Schuster for their key assistance, and Morgan Holder for illustrating Fig. 2. Funding for portions of this analysis was initially provided by an NSERC Undergraduate Student Research Award to DH and NSERC Discovery Grants held by IM (531246) and CTD (435683). Subsequent funding was provided from the NSERC ResNet Strategic Network Grant (523374-18) to AKS and IM. KMB was funded by the Banting Postdoctoral Fellowship program, and EF was funded by the Hakai Institute and an NSERC Vanier Scholarship. Funding for excavations at Kakmakimilh was provided by the Tseshaht First Nation, Pacific Rim National Park Reserve, the Hakai Institute, NSERC (Grant 531246), and the UVic Department of Anthropology and conducted under permissions and permits from Tseshaht First Nation and Pacific Rim National Park Reserve. Finally, we thank the editors, reviewers, and journal staff.

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Information & Authors

Information

Published In

cover image FACETS
FACETS
Volume 9Number 1January 2024
Pages: 1 - 15
Editor: Julio Mercader Florin

History

Received: 19 July 2023
Accepted: 11 June 2024
Version of record online: 13 September 2024

Data Availability Statement

Measurement data and plots outputs are provided in the supplemental material accompanying this submission. These data are additionally available on Open Science Framework https://osf.io/m7yuq/.

Key Words

  1. archaeology
  2. bivalves
  3. historical ecology
  4. Indigenous resource management
  5. zooarchaeology

Sections

Subjects

Plain Language Summary

Harnessing Ancient Shellfish Data for Modern Coastal Restoration: A Case Study from Tseshaht First Nation

Authors

Affiliations

Department of Anthropology, University of Victoria, Victoria, BC, Canada
Author Contributions: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, and Writing – review & editing.
Kristina M. Barclay
Department of Anthropology, University of Victoria, Victoria, BC, Canada
Department of Biology, University of Victoria, Victoria, BC, Canada
Author Contributions: Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft, and Writing – review & editing.
Erin Foster
Department of Geography, University of Victoria, Victoria, BC, Canada
Hakai Institute, Heriot Bay, Quadra Island, BC, Canada
Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
Author Contributions: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, and Writing – review & editing.
Hannah M. Kobluk
School of Resource and Environmental Management, Simon Fraser University, Burnaby, BC, Canada
Author Contributions: Formal analysis, Methodology, Software, Validation, and Writing – review & editing.
Taylor Vollman
Department of Anthropology, University of Victoria, Victoria, BC, Canada
Author Contributions: Formal analysis, Validation, Visualization, and Writing – review & editing.
Anne K. Salomon
School of Resource and Environmental Management, Simon Fraser University, Burnaby, BC, Canada
Author Contributions: Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, and Writing – review & editing.
Department of Geography, University of Victoria, Victoria, BC, Canada
Hakai Institute, Heriot Bay, Quadra Island, BC, Canada
Raincoast Conservation Foundation, Sidney, BC, Canada
Author Contributions: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, and Writing – review & editing.
Department of Anthropology, University of Victoria, Victoria, BC, Canada
Hakai Institute, Heriot Bay, Quadra Island, BC, Canada
Bamfield Marine Sciences Centre, Bamfield, BC, Canada
Author Contributions: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, and Writing – review & editing.

Author Contributions

Conceptualization: EF, CTD, IM
Data curation: DH, KMB, EF, IM
Formal analysis: DH, KMB, EF, HMK, TV, AKS, IM
Funding acquisition: AKS, CTD, IM
Investigation: DH, KMB, EF, IM
Methodology: DH, KMB, EF, HMK, AKS, CTD, IM
Project administration: AKS, CTD, IM
Resources: EF, AKS, CTD, IM
Software: HMK
Supervision: KMB, AKS, CTD, IM
Validation: DH, KMB, EF, HMK, TV, IM
Visualization: DH, EF, TV, IM
Writing – original draft: DH, KMB, AKS, CTD, IM
Writing – review & editing: DH, KMB, EF, HMK, TV, AKS, CTD, IM

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We have no conflicts of interest to disclose, including financial and nonfinancial conflicts.

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