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The Pleistocene footprints are younger than we thought: correcting the radiocarbon dates of Ruppia seeds, Tularosa Basin, New Mexico

Published online by Cambridge University Press:  10 January 2024

David M. Rachal*
Affiliation:
Tierra Vieja Consulting LLC, Las Cruces, New Mexico 88005, USA Jornada Research Institute, Tularosa, New Mexico 88352, USA
Robert Dello-Russo
Affiliation:
Director Emeritus—University of New Mexico, Office of Contract Archeology, Livingston, Montana 59047, USA
Matthew Cuba
Affiliation:
Holloman Air Force Base, Alamogordo, New Mexico 88330, USA
*
Corresponding author: David M. Rachal; Email: geoarchnewmexico@gmail.com
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Abstract

Past studies have demonstrated that Ruppia cirrhosa (Ruppia), which typically grows in brackish water, is far too unreliable to serve as the chronological basis for radiocarbon dating because of the hard water effect (HWE). Despite this unreliability, Ruppia seeds have been used to date footprints along the margins of paleo-Lake Otero in southern New Mexico to around 23,000–21,000 cal yr BP. In this study, we employ a modern analog approach using δ13C values and radiocarbon dates from modern Ruppia plants growing in Salt Creek to calculate a maximum limiting age range for the footprints. Those plant samples with higher δ13C values produced greater age discrepancies. This simple relationship can be used to correct for the HWE and demonstrates that the human footprints purported to have been made during the local last glacial maximum could be at least ~7500 yr younger.

Type
Research Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Quaternary Research Center

INTRODUCTION

There is a great deal of controversy surrounding the radiocarbon dates of Ruppia cirrhosa (Ruppia) seed layers that have been used to constrain the age of footprints along the eastern shoreline of paleo-Lake Otero in southern New Mexico to around 23,000–21,000 cal yr BP (Bennett et al., Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a; Haynes, Reference Haynes2022; Madsen et al., Reference Madsen, Davis, Rhode and Oviatt2022; Pigati et al., Reference Pigati, Springer, Bennett, Bustos, Urban, Holliday, Reynolds and Odess2022a, Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b; Oviatt et al., Reference Oviatt, Madsen, Rhode and Davis2022; Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). These ages are significantly older than ages suggested by current genetic models, archaeological data, or paleoecological data, which point to colonization of North America around or after 16,000 yr ago (Potter et al., Reference Potter, Baichtal, Beaudoin, Fehren-Schmitz, Haynes, Holliday and Holmes2018, Reference Potter, Chatters, Prentiss, Fiedel, Haynes, Kelly and Kilby2022). The debate surrounding the Ruppia seed–based chronology focuses on two main issues. First, there is a question of whether a hard water effect (HWE) or reservoir effect, observed in Ruppia seeds, might have caused radiocarbon dates to appear much older (Kalanke et al., Reference Kalanke, Mingram, Lauterbach, Ryskul, Tjallingii and Brauer2020; Madsen et al., Reference Madsen, Davis, Rhode and Oviatt2022).

The HWE occurs when submerged aquatic plants that grow in alkaline “hard water” lakes utilize carbon during photosynthesis from dissolved inorganic carbon (DIC) sources (Lucas, Reference Lucas1983; Sand-Jensen and Gordon, Reference Sand-Jensen and Gordon1984; Kantrud, Reference Kantrud1991; Keeley and Sandquist, Reference Keeley and Sandquist1992; Hellblom and Axelsson, Reference Hellblom and Axelsson2003). Such DIC is composed of ancient, 14C-depleted, dissolved carbonate that, in turn, is inherited from the limestone bedrock in the basin and does not reflect the 14C activity of the atmosphere (Olsson, Reference Olsson, Seuss and Berger1980). When this dead or depleted DIC is incorporated into the plant tissue through metabolic processes, it can make radiocarbon ages based on plant material such as Ruppia appear thousands of years too old (Madsen et al., Reference Madsen, Davis, Rhode and Oviatt2022). Pigati et al. (Reference Pigati, Springer, Bennett, Bustos, Urban, Holliday, Reynolds and Odess2022a) argue that the plant grew within a unique hydrological setting where a local, fresh shallow-water source removed or at the very least minimized the HWE at the human trackway site (Locality-2). However, Oviatt et al. (Reference Oviatt, Madsen, Rhode and Davis2022) provide support for the impact of the HWE by dating a modern Ruppia sample from a saline spring-fed wetland within the basin, yielding a date of 7400 cal yr BP.

A second part of the debate with the seed-based chronology is the character of the natural formation processes that delivered the seeds to the site. For instance, Haynes (Reference Haynes2022) proposed a site formation model that uses wind as a seed delivery mechanism. Rachal et al. (Reference Rachal, Mead, Dello-Russo and Cuba2022) support this idea but also suggest an expanded site formation model, based on the discovery of Ruppia seed balls in the seed layers. In their site formation model, the Ruppia plants and seeds originated in deeper-water settings and were subsequently deposited as vegetative balls and seed detritus at Locality-2 by storm surge events during the Pleistocene. Both models provide mechanisms for how seeds that have been impacted—to an unknown degree—by the HWE could have been redeposited into the trackway stratum at Locality-2. If either of these cases apply, then the Ruppia radiocarbon dates used to constrain the footprints have been skewed by the HWE. Pigati et al. (Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b) argue that the wind as a seed delivery mechanism is a highly improbable and a realistically impossible scenario. However, they have yet to rebut the more complex Ruppia seed ball hypothesis. To maintain their argument for dating the footprints between 23,000–21,000 cal yr BP effectively, they must address the seed ball site formation model.

To complicate matters further, the HWE is not a static attribute of a given body of water. Instead, the magnitude of the HWE and its degree of variability can differ significantly over space and time. For instance, the different spatial distributions of local sediments and bedrock geology within a given catchment can influence the HWE. The discharge rate and water chemistry of associated surface and groundwater inputs can also differentially influence the HWE (Fontes et al., Reference Fontes, Gasse and Gibert1996). Whether a lake is closed, drains into a river, or has a river flowing into it can influence the residence time of the DIC in the water column, which could also impact the HWE (Liu et al., Reference Liu, Weijian, Peng and Burr2017). Temporal changes in spring discharge, runoff from storms, or precipitation can cause the DIC in the water column to fluctuate or can even dilute the mineral concentration of the lake (Zhou et al., Reference Zhou, Chen, Wang, Yang, Qiang and Zhang2009). Changes in salinity, water depth, water flow, and other ecological factors can influence the plant's ability to efficiently pull in the DIC from the water (Osmond et al., Reference Osmond, Valaane, Haslam, Uotila and Roksandic1981). This can lead to site- and time-specific 14C age offsets (differences between actual age and radiocarbon age) within a lake system that, in turn, can result in a range of artificial aging of hundreds to thousands of years.

The accurate radiocarbon dating of Ruppia seed layers at the human trackway site (Locality-2) near paleo-Lake Otero requires knowing the order of magnitude of the HWE in the paleo-Lake Otero basin. Our approach for estimating the HWE in the basin begins with determining the δ13C values and radiocarbon ages of modern Ruppia plants that still grow in the spring-fed wetlands along the Tularosa Basin's Salt Creek, a major tributary of paleo-Lake Otero. We then compare the radiocarbon date of each of the plant samples to its actual modern age to gauge the age offset caused by the HWE. Due to environmental variables that could influence the HWE, we did not expect to arrive at a single age correction based on one radiocarbon date that could be applied to the Ruppia seed layers (Oviatt et al., Reference Oviatt, Madsen, Rhode and Davis2022). In the design of this study, we chose to sample different hydrological settings to find the ranges of, and variability in, δ13C isotopic values and radiocarbon age offsets that could be expected when dating Ruppia seeds from the past. This study was conducted by sampling two Ruppia meadows along Salt Creek to better understand the variability of the HWE. We hypothesized that the radiocarbon ages for modern plant samples would be highly variable in the drainage and that the more enriched (closer to 0) their δ13C values, the greater the age offset or discrepancy between their radiocarbon ages and their actual ages. If this relationship were correct, then it would be possible to use the δ13C values of the buried ancient Ruppia seed layers to determine their respective radiocarbon date offsets and thereby provide a maximum limiting (no older than) age range for the human footprints in the Tularosa Basin.

STUDY AREA

Salt Creek is a 38-km-long stream in the northern Tularosa Basin (Figure 1A). The watershed of Salt Creek includes parts of the northern San Andres and Oscura Mountains. The 5000-yr-old Carrizozo lava flow is located to the east of the drainage (Dunbar, Reference Dunbar1999). In addition to surface water from the mountains, perennial flow in Salt Creek is supplemented by groundwater discharge from a series of springs and seeps that are fed by an alluvial aquifer (Weir, Reference Weir1965). These springs occur throughout the northern portion of Salt Creek. Groundwater input decreases in the middle portion of the stream, resulting in spatially intermittent surface flows (Myers and Naus, Reference Myers and Naus2004). Eventually, Salt Creek becomes even more sporadic and can sometimes completely dry at the end of the drainage in a Holocene-age deflationary playa named Big Salt Lake. This playa is in proximity to Salt Creek's Pleistocene fan delta at the north end of paleo-Lake Otero.

Figure 1. (A) Map showing perennial (solid line) and ephemeral (dashed line) stream reaches in the northern Tularosa Basin, with the red line outlining Ruppia distribution along Salt Creek. It also shows the location of Locality-2 in relation to the Salt Creek. Our Ruppia plant samples were collected from two locations in the northern and southern perennial sections of Salt Creek. (B) A photo of a Ruppia meadow in the north reach of Salt Creek. The water depth is ~90 cm. Note push probe sample of the underlying reduced aqueous soil/sediment. (C) A photo of a submerged Ruppia meadow in the south reach of Salt Creek. The water depth is ~40 cm. Note push probe sample of the massive, structureless organic rich sediment in which plant is growing.

The annual stream flow for Salt Creek is highly variable. For water years 1995 to 2008, the average annual stream flow and total stream flow for Salt Creek were 0.038 cubic meters per second (m3/s) and 121 hectare meter (983 acre-feet,) respectively (Naus et al., Reference Naus, Myers, Saleh and Myers2014). From water years 1997 to 2020, the average annual stream flow and total stream flow for Salt Creek were 0.033 m3/s and 106 hectare meter (861 acre-feet), respectively (http://waterdata.usgs.gov/nwis, accessed September 14, 2023). Unfortunately, the gauge was not operational for the 2022 sampling year, so flow measurements for Salt Creek during that time period are unknown. It is worth mentioning that 2002 through 2006 were years during which the creek experienced zero flow. Rainfall runoff events typically associated with the summer monsoon can cause short-term increases in stream flow in Salt Creek. In May 2007, one such event resulted in a peak flow of 10.6 m3/s (Naus et al., Reference Naus, Myers, Saleh and Myers2014). Rainfall runoff events provide the main source of surface water flow in the lower Salt Creek in the summer monsoon months. Without this rainfall runoff, the lower reaches of Salt Creek will not flow, and it will remain dry during much of the summer. However, continual groundwater inputs from springs and seeps allow the upper section of Salt Creek to hold water year-round.

Salinity values for paleo-Lake Otero tributaries are important to consider as well. Salinity in Salt Creek is also highly variable throughout the length of the stream channel. However, there is a general trend of increasing salinity with increasing distance from its headwaters (Myers and Naus, Reference Myers and Naus2004). Salt Creek also has a higher salinity than the Malpais Spring Figure 1A). However, the Lost River, which is the drainage that Locality-2 is nearby, is located at the eastern edge of the paleo-Lake Otero basin and has the highest salinity of any modern drainage in the Tularosa Basin (Myers and Naus, Reference Myers and Naus2004; Figure 1A). Regardless, water salinity concentrations of the streams range from 2290 to 66,700 mg/L. Water quality is typically considered saline (defined for this study as 10,000–100,000 mg/L total dissolved solids [TDS]), but during periods of higher and lower precipitation, it can vary from slightly to strongly brackish (defined for this study as 1000–10,000 mg/L TDS) to saline.

Finally, Salt Creek should be considered an ancestral waterway and an integral component of the paleo-Lake Otero hydraulic system, because it flowed into paleo-Lake Otero during the local last glacial maximum (LLGM; Clark et al., Reference Clark, Dyke, Shakun, Carlson, Clark, Wohlfarth, Mitrovica, Hostetler and McCabe2009). The modern creek is inset into a large relict terminal Pleistocene wetland complex that held water between 11,000 and 10,000 yr ago (Love et al., Reference Love, Allen, Morgan, Myers, McLemore, Timmons and Dunbar2014). The aforementioned time period was determined by the radiocarbon dating of macrophytes (possibly reeds) (Love, D., personal communication, May 18, 2022), but without accounting for any HWE. The wetland complex was a refugium during post-LLGM times for the submerged Ruppia plant. It is likely that this rooted plant once occupied the deep-water spring-fed salty embayments of paleo-Lake Otero during the LLGM (Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022), and it still grows in underwater meadows in the northern, perennial portion of Salt Creek (Figure 1B and 1C). There is also a small population of Ruppia growing in the lower intermittent flow portion of the drainage (Figure 1A). In this area, the plant grows in a relatively short section of perennial surface water sustained largely by groundwater input. The soil/sediment substrate in which the plant grows is massive (without layering), structureless, bluish-gray or dark black calcareous muds (Figure 1B and C).

MATERIALS AND METHODS

Field collection of plant specimens

The Ruppia plant samples in our study were obtained from two locations in the southern and northern perennial portions of Salt Creek (Figure 1A). Bulk samples of submerged Ruppia plants were collected from the soft sediment by wading through the water and gathering samples with a large, 101.6-cm Extended Reach Grappler tool. Individual plants were then separated from the bulk sample and air-dried overnight in a food dehydrator. We also collected a water-depth measurement and a water sample during the field collection. Each water sample was analyzed for electrical conductivity (EC) and bicarbonate content (HCO3−). These analyses were conducted at the Brigham Young University Environmental Analytical Laboratory in Provo, Utah.

Carbon isotope (δ13C) analysis

Once dried, one Ruppia stem from an individual plant was divided into two halves. One half of the plant stem was collected for δ13C analysis. To make a direct comparison between the δ13C values of modern plants and those of the seed layers on the eastern shoreline, stems and seeds were also collected from one Ruppia seed ball. As previously mentioned, such seed balls are formed when wind pushes floating Ruppia mats into the lake's littoral zone, where they are rolled into vegetative balls by wave action (see Olson et al., Reference Olson, Schutz and Hammer2005). This sampled seed ball had been previously found partially buried in the same stratigraphic level as the human trackway. Ruppia seeds and stems collected from the ball yielded several radiocarbon dates that ranged from 22,411 to 20,834 cal yr BP (Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). It has been hypothesized that this range in radiocarbon dates is an indication of the mixing of seeds with differing degrees of the HWE. All Ruppia stem and seed samples were sent to the University of Kansas for independent δ13C isotopic analysis. Each sample underwent an acid wash before analysis. The samples’ isotopic ratios are reported in δ-notation as follows: δ13C (‰) = [(RSAMPLE − RSTANDARD)/RSTANDARD] × 1000. These results are presented with respect to the Vienna Pee Dee Belemnite standard (VPDB; Craig, Reference Craig1957).

Radiocarbon dating

The other half of the Ruppia stem was sent to the Arizona Climate and Ecosystem Isotope Laboratory at Northern Arizona University for radiocarbon dating. The dating employed a graphite approach using a mini radiocarbon dating system from Ionplus. Each sample underwent an acid–base–acid wash pretreatment (acid = 1 M HCl; base = 1 M NaOH; process at 70°C; Santos and Ormsby, Reference Santos and Ormsby2013). The calibration of each radiocarbon date was completed using Calib 8.2 software (Stuiver et al., Reference Stuiver, Reimer and Reimer2021) and the IntCal20 data set. Our conventional radiocarbon ages have been corrected for isotope fractionation by normalizing to VPDB (Wacker et al., Reference Wacker, Christly and Synal2010) and are then reported with 2σ error ranges and as median calibrated years before the present (see Table 1). A complication of the calibration process is that the resulting model for the calibrated 14C age can be multimodal and asymmetric. This produces a degree of uncertainty that is larger than that of the original 14C age and must be represented in the form of a range. Because both the 1σ and 2σ error ranges of the calibrated ages were very small and difficult to represent graphically, we chose to simply plot the median values of the calibrated ages.

Table 1. Summary of radiocarbon and calibrated ages along with δ13C values.

a USC, northern perennial portion of the Salt Creek; LSC, southern perennial portion of the Salt Creek.

b Plant materials were subjected to standard acid–base–acid pretreatment.

c Carbon isotopic ratios in delta notation (relative to the VPDB standard); used to correct for isotopic fractionation.

d Calibrations were calculated using the Calib tool 8.2 (Stuiver et al., Reference Stuiver, Reimer and Reimer2021).

e Median calibrated dates listed are those occupying the largest percentage of area under the calibration curve (when multiple intercept ranges apply).

These radiocarbon ages have not been corrected for the increases in 14C content caused by the atomic bomb 14C effect (de Vries, Reference de Vries1958). It should be noted that there is currently no universally accepted correction for it or for its inherent local variability. We argue that this of little importance, because most of the bomb carbon has, by now, been absorbed into oceans and has been diluted back to very near pre-bomb levels by 14C-free carbon dioxide produced by the burning of fossil fuels (i.e., Suess effect) (Graven, Reference Graven2015). If it is present, it will most likely make the radiocarbon ages older by a couple hundred years (see Philippsen, Reference Philippsen2013).

RESULTS AND ANALYSIS

δ13C values and 14C age offsets of modern Ruppia

Ruppia utilizes a C3 photosynthetic pathway (TRY Plant Trait Database, https://www.try-db.org/TryWeb/Home.php, accessed September 11, 2023) and is efficient in using DIC, such as bicarbonate (HCO3-), from the water column during photosynthesis (Sand-Jensen and Gordon, Reference Sand-Jensen and Gordon1984). Aquatic plants can use other carbon sources (i.e., carbon dioxide) from the air or the water column, but the concentrations of these types of carbon are often very low in an aqueous or submerged setting (Hemminga and Mateo, Reference Hemminga and Mateo1996). Ruppia plants that have grown in a submerged setting with elevated concentrations of DIC are more enriched in 13C relative to a plant growing aboveground in the normal atmospheric setting (Boutton, Reference Boutton, Coleman and Fry1991; Keeley and Sandquist, Reference Keeley and Sandquist1992; Oviatt et al., Reference Oviatt, Madsen, Rhode and Davis2022). The assimilation of DIC during photosynthesis can lead to relatively high δ13C values for the plant (Marcenko et al., Reference Marcenko, Srdoc, Golubic, Pedzic and Head2016). Such plants have δ13C values similar to those found with C4 plants (−10 to −15‰) (Chappuis et al., Reference Chappuis, Seriñá, Martí, Ballesteros and Gacia2017). However, depending on the environmental setting, the δ13C values of Ruppia can be more depleted and can overlap with local terrestrial CAM (crassulacean acid metabolism) plants (−15 to −20‰) and even other C3 plants (−20 to −35‰) (Gallegos, Reference Gallegos1999).

The δ13C values of the modern Ruppia growing in Salt Creek were highly variable and ranged from around −19.26 to −8.52‰. As previously mentioned, the assimilation of DIC not only affects δ13C values, but also affects the 14C age offsets of the plant. For instance, the 14C age offset (difference between actual age and radiocarbon age) of the modern Ruppia plants ranged from 8878 to 1728 cal yr BP. However, there are differences in both age offsets and isotope values when comparing the Ruppia plant samples from upper and lower reaches of the drainage. Plant samples collected from the upper reach provided more-depleted δ13C isotope values ranging from −19.26 to −17.47‰. The radiocarbon age offsets of these plant samples were also smaller and ranged from around 2743 to 1728 cal yr BP. On the other hand, plant samples collected from the lower reach were more enriched, with δ13C isotope values ranging from −17.98 to −8.52‰. The radiocarbon age offsets of these plant samples were also larger and ranged from around 8878 to 2584 cal yr BP (Figure 2). These wide ranges of 14C age offsets and δ13C values coincide with differences in water quality.

Figure 2. Graph depicting δ13C and both calibrated and 14C (inset graph) age changes in modern Ruppia during May, August, and October, indicating mixotrophic behavior in this aquatic plant across its annual life cycle. These samples were gathered from the southern perennial part of Salt Creek.

At the time of sampling in the northern reach, the water had an EC of 5100 micro-deci-siemens per meter (μdS/m) and a bicarbonate content ranging from 138 to 223 ppm. The springs that feed the area were located tens of meters to the north of the sampling site. As noted earlier, these water-quality measurements coincide with smaller age offsets and more-depleted δ13C values. We collected plant samples in the vicinity of the lower reach throughout the year and documented that the samples in that reach had an EC ranging from 15,500 to 27,000 μdS/m. The bicarbonate content in the general area ranged from 224 to 1500 ppm. The springs feeding this area were located a few meters from the sampling site, and water could be seen emanating along the margins of the drainage. These higher salinity and bicarbonate values coincide with more-enriched δ13C values and larger age offsets.

There is also a lot of variation in 14C age offsets among individual plants over a very short geographic distance. Ruppia plants collected from one meadow in the upper reach yielded radiocarbon age offsets of 2743 to 1728 cal yr BP. That is a range of ~1000 yr among individual Ruppia plants from the same general location. Naus et al. (Reference Naus, Myers, Saleh and Myers2014) reported a percent modern 14C value of 87.73%, which yields an age of ~1100 14C yr BP for the water at this collection site. Interestingly, the Ruppia plant material in this area is 600 to 1600 yr older than the 14C content of the water.

There is also a lot of variation in 14C age offsets over time. Ruppia plants collected from one area in May yielded age offsets of 3853 to 3803 cal yr BP. At the end of the summer, in August, Ruppia plants collected in the same general area yielded age offsets of 2589 to 2584 cal yr BP. That is a range of ~1200 yr among individual Ruppia plants over a 3 month period. Surprisingly, a Ruppia plant collected in the same general area in October, which is at the end of the growing season, yielded an age offset of 8878 cal yr BP. That is a range of ~6200 yr among individual Ruppia plants over a 6 month period within one Ruppia meadow.

Water chemistry and the HWE of modern Ruppia in paleo-Lake Otero tributaries

The water chemistry in Salt Creek varies both spatially (as noted earlier) and temporally throughout the length of the drainage. Differences in this water chemistry can cause large variations in the δ13C values of submerged plants (Boyce et al., Reference Boyce, Lavery, Bennett and Horwitz2001). Intra-annual variations in the water quality can result in seasonal changes in the δ13C values of submerged plants (Anderson and Fourqurean, Reference Anderson and Fourqurean2003). Even the δ13C values of the parts (leaf, rhizome, etc.) of submerged plants can change seasonally (Vizzini et al., Reference Vizzini, Gianluca, Miguel and Mazzola2003). Changes in the δ13C values suggest that the plant exhibits mixotrophic behavior, utilizing various carbon sources during photosynthesis, which may include changes in the concentrations of 14C-deficient carbonate, CO2 derived from decaying vegetation, or dissolved organic carbon from plant residues (Firmin et al., Reference Firmin, Selosse, Dunand and Elger2022). The type of carbon source determines the magnitude of the HWE. Unfortunately, we did not differentiate between the uptake of dissolved organic and inorganic carbon by Ruppia over time; nonetheless, we did record variations in water chemistry that correlated with changes in the age offset of the plant. Thus, regarding Salt Creek, changes in both water quality and the physical functioning of the plant over its yearly phenological life cycle cause wide fluctuations in δ13C values and 14C age offsets for the aquatic plant over space and time (Figure 2). Although Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) claim that fresh, well-aerated water at Locality-2 minimized or eliminated the HWE, they do not consider how plant physiology can influence the HWE. This can happen whether or not the plant is growing near a spring and could add additional uncertainty to the seed dates.

However, it is still unclear whether the shallow water at Locality-2 was as fresh as Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) claim. Ruppia can tolerate the widest range of salinities of any aquatic angiosperm, but it characteristically prefers extreme saline conditions (Mannino et al., Reference Mannino, Menendez, Obrador, Sfriso and Triest2015). This is because the plant cannot survive in fresh water and lacks the ability to compete with freshwater aquatic plants (Verhoeven, Reference Verhoeven1979; Menéndez and Penuelas, Reference Menéndez and Penuelas1993). Typically, aquatic plant biodiversity and competition will increase as the water freshens (Hammer Reference Hammer1986; Bailey et al., Reference Bailey, Boon, Blinn, Williams and Kingsford2006). For instance, a noticeable decrease in the prevalence of Ruppia was observed in the inland lakes and wetlands of the Northern Great Plains/Prairie Pothole Region, especially in saline lakes that have gradually become less salty and fresher over time (Swanson et al., Reference Swanson, Winter, Adomaitis and LaBaugh1988). Ruppia, which lacks the ability to compete in these conditions, will die back and only regrow when harsher saline conditions return (Kantrud, Reference Kantrud1991). The pH and EC measurements show alkaline conditions (pH > 8.0), high sodicity (sodium absorption ratio > 81%,), and high salinity (EC > 57 mS/m-1) within the trackway stratum at Locality-2 (https://data.nal.usda.gov/dataset/soilweb, accessed September 11, 2023). These findings suggest a salt-affected depositional lake environment that could only have supported aquatic halophytic plants. Typically, Ruppia will grow as monospecific or single-species meadows in high-salinity environments (Verhoeven, Reference Verhoeven1980). The monotypic seed layers that washed into the Locality-2 site suggest that the water quality of paleo-Lake Otero was most likely brackish, and possibly saline, making it too salty for other freshwater plants to colonize and grow in embayments around the lake.

Furthermore, Holliday (Reference Holliday2022) hypothesized that the Lost River could have supplied Locality-2 with fresh water. This alluvial stream setting would have minimized or eliminated the HWE in the site. The fact that ground water in the basin is of high salinity is another reason why the Lost River was not likely to have been a freshwater source. Substantial volumes of fresh water do exist in the basin, but they are confined to narrow zones next to the Sacramento Mountains (Land, Reference Land2016). Runoff from the mountains would have been fresher, but the salinity of the local ground water and surface water would have increased toward the center of the basin (Fryberger, Reference Fryberger2023). This is because the Lost River cuts through ~25 km of some of the most salt-affected sediment and soils in the basin. During the LLGM, the water table would have been higher and the localized discharge of brackish ground water into the river channel would likely have resulted in the salinization of the Lost River long before it poured into paleo-Lake Otero at Locality-2. Today, the high-salinity ground water from sedimentary brine sources leaks into the Rio Grande and significantly increases the salinity levels of the river as it traverses New Mexico (Hogan et al., Reference Hogan, Phillips, Mills, Hendrix, Ruiz, Chesley and Asmerom2007). Langford et al. (Reference Langford, Rose and White2009) have documented a similar trend in groundwater salinity at White Sands National Park.

Therefore, the same scenario could have occurred with the Lost River during the LLGM. While it is possible for the mountain runoff to have been great enough during the LLGM to have diluted some of the salt content, the substantial volume of the geologic salinity source coupled with the large reserve of brackish to brine ground water in the basin suggests that it would have been very unlikely for Lost River water to have been fresh when it arrived at Locality-2.

Water depth and 14C age offsets of modern Ruppia

Pigati et al. (Reference Pigati, Springer, Bennett, Bustos, Urban, Holliday, Reynolds and Odess2022a, Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b) argued that Ruppia plants grew within Locality-2 in a shallow-water setting that was probably no more than a few centimeters deep. They also argue that, in this setting, the water would have been well-mixed and near or close to CO2 equilibrium with the atmosphere. This scenario would have, according to Pigati et al. (Reference Pigati, Springer, Bennett, Bustos, Urban, Holliday, Reynolds and Odess2022a, Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b) reduced, or even eliminated, the HWE. To date, we have not found Ruppia plants growing in extremely shallow, 1- to 3-cm-deep water in Salt Creek. Instead, Ruppia is typically found in the lowest and deepest portions of the channel in water that is around 90 to 120 cm deep, although it can still grow in somewhat shallower water around 31 to 40 cm deep. Also, we could find no evidence of a relationship between water depth and the 14C age offset of the modern plants (Figure 3; the linear regression indicates that only ~18% of the variance in age offsets is explained by the variance in depth). In fact, the largest age offsets typically came from shallower water in the lower reach of Salt Creek. These findings indicate that use of DIC is substantial even in relatively shallow waters (>30 cm deep) that are well mixed and in equilibrium with the atmosphere.

Figure 3. Linear regression demonstrating a weak correlation (r2 = 0.18) between water depth and both calibrated and 14C age (inset graph) offsets of modern Ruppia in the Salt Creek. These results suggest that even in shallow, well-mixed waters in atmospheric equilibrium, the utilization of DIC by Ruppia is significant.

δ13C values of Ruppia seed ball aliquots

To directly compare the δ13C values of modern plants, reported earlier, with the seed layers on the eastern shoreline of paleo-Lake Otero, a collection was made that included stems and seeds from one Ruppia seed ball. The seeds from the ball yielded several radiocarbon dates, which ranged from 22,411 to 20,834 cal yr BP (see Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). The youngest and oldest dates in this age range differ significantly at a 95% confidence level (t = 6.366141; χ2 (0.05) = 3.84; df = 1). This difference of more than 1500 yr may indicate the mixing of seeds with varying degrees of HWE (Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022), particularly when considering the documented 1000 yr range among individual modern Ruppia plants in a single meadow documented by this study and a 1000 yr range across seed dates in Trackway Horizon 6 (Bennett et al., Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b). Interestingly, the δ13C values of the seeds and stems from the same ball were also highly variable and also appear to have been mixed. The δ13C values of the seeds ranged from −10.21 to −5.37‰, with an average value of −8.1‰ (Figure 4). The δ13C values of the stems were roughly similar to the seed isotopic values and ranged from −9.59 to −6.13‰, with an average value of −7.9‰ (Figure 4).

Figure 4. δ13C values of a Ruppia seed ball. This seed ball was collected from a partially buried seed layer on the eastern paleo-Lake Otero shoreline. The seeds from the ball yielded several radiocarbon dates, which span a ~1500-yr period, that ranged from 22,411 and 20,834 cal yr BP (see Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). Inset photographs (1 through 4) located at the base of the illustration shows the various components of a Ruppia seed ball. Inset Photo 1: Ruppia Seed balls are composed of reproductive shoots (seeds and stems) from the plant's flower part. Ruppia seed balls are composed of detached reproductive shoots (seeds and stems) from the flowering part of the plant. Inset Photo 2: Seeds are beaked and black, 1.5 to 2 mm long and 1 to 1.5 mm wide. Inset Photo 3: Stems can be 1 to 2 cm long and are often still attached to the seed. They can be found as seed layers at Locality-2. Inset Photo 4: These seeds and stems can float and are often rolled into a vegetative ball by wave action in the littoral zone of a lake (Olson et al., Reference Olson, Schutz and Hammer2005).

Unfortunately, Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) did not report the δ13C values with their radiocarbon dates, so a direct comparison cannot be made between the Ruppia seed balls and the buried seed layers in the trackways site on the eastern shoreline (Locality-2). However, Allen et al. (Reference Allen, Love and Bustos2014) did radiocarbon date two Ruppia seed layers sampled from the lake margin outcrop within the site boundary of Localty-2. The δ13C values associated with those radiocarbon dates ranged from −11.7 to −10.0‰. Allen et al. (Reference Allen, Love and Myers2009) also reported the δ13C values associated with probable Ruppia radiocarbon dates at Locality-8 as ranging from −14.0 to −12.0‰. It should be noted that Allen et al. (Reference Allen, Love and Myers2009) described the samples as “macrophytes.” It is possible that these samples may have included a variety of aquatic plants that incorporate various amounts of carbon from different sources and may have different δ13C values. Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a), on the other hand, referred to these samples as Ruppia. It is possible that Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) obtained additional information through consultation with Allen et al. (Reference Allen, Love and Myers2009) regarding the dated samples, which were potentially identified as Ruppia seeds. If such consultation did occur, Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) did not explicitly report this detail in their supplementary materials. Regardless, Oviatt et al. (Reference Oviatt, Madsen, Rhode and Davis2022) radiocarbon dated a modern Ruppia plant collected in 1947 from the Malpais Spring (see Figure 1A) and reported a similar δ13C value of −13.6‰ for the plant. Interestingly, the δ13C values of the seed ball and seed layers closest to Locality-2 are more enriched when compared with the modern-day isotopic baseline for Ruppia growing in the Salt Creek and Malpais Spring areas. These more-enriched δ13C values are also greater (more enriched) than the δ13C values reported at Locality-8.

DISCUSSION

A “no-analog” approach and a problematic age–depth model

Because the HWE can cause large chronological uncertainties, many researchers who develop age models from lake sediments typically try to correct for it. When reviewing the purported dates for the Locality-2 tracks, critics of Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a, Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) suggested that the Ruppia-based radiocarbon dates utilized to date the trackways were impacted by the HWE and could thus be too old and that modern Ruppia could help address the problem (Oviatt et al., Reference Oviatt, Madsen, Rhode and Davis2022; Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) and Pigati et al. (Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b) argued that any Ruppia plants growing in the Tularosa Basin were not comparable to those that would have grown in the paleo-Lake Otero setting and that, as a result, the modern Ruppia vegetation could not be used to determine how much error had been introduced into Pleistocene seed dates by the HWE. Their position, which suggests that the prehistoric Ruppia community at Locality-2 was a vegetational population in a setting that is no longer observed in contemporary ecosystems, can be described as a “no-analog” (Williams and Jackson, Reference Williams and Jackson2007) approach to ecology.

However, the researchers at the Locality-2 trackway site were aware that modern Ruppia grows within the paleo-Lake Otero hydraulic system. Approximately 15 km south of our southern sampling location in the lower reaches of Salt Creek, J. Pittenger (at the request of White Sands National Park) collected a modern Ruppia sample in 2020 and submitted it to personnel at the Park (Pittenger, J., personal communication, March 31, 2022; Figure 1A). However, no 14C dating results from this Ruppia sample have yet been published. By avoiding the use of the potential modern analog Ruppia growing in Salt Creek, and because they were unable to date any terrestrial vegetation fossils in the trackway horizons, Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a, Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) chose to rely completely on the Ruppia seeds found buried in the same sediments as the trackways. They dated large seed aliquots, each containing 40–60 seeds or more, and employed an uneven sampling design that effectively eliminated or minimized any potential age variations caused by the HWE that are commonly associated with Ruppia. Their large seed aliquots averaged the age ranges of the individual seeds and thus minimized the possibility of detecting age reversals caused by variations in the HWE (Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022).

Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) also generated an age–depth model based on Ruppia seeds, ostracods, and charcoal ages from a stratigraphic section in the northern Tularosa Basin (Locality-8; Allen et al., Reference Allen, Love and Myers2009) to support their hypothesis that the HWE, if present, was very minimal during the LLGM. We argue that this age–depth model might be unreliable, because it is based on the dating of materials with debatable chronometric utility or that were recovered from questionable contexts. That is, the radiocarbon dating of ostracod valves can be hundreds to several thousands of years too old, because they obtain their carbon from the water, not from the atmosphere (Gouramanis et al., Reference Gouramanis, Wilkins and Deckker2010; Junginger et al., Reference Junginger, Roller and Trauth2014). They can also be affected by the absorption of 14C-enriched carbon during diagenesis, making the ages appear too young (Hajdas et al., Reference Hajdas, Bonani, Zimmerman, Mendelson and Hemming2004; Zimmerman et al., Reference Zimmerman, Steponaitis, Hemming and Zermeño2012). Thus, they are an unreliable material to radiocarbon date. The charcoal, on the other hand, could have been redeposited in the stratigraphic section by alluvial processes and not necessarily be of the same age as the deposit from which it was recovered (Allen et al., Reference Allen, Love and Myers2009; Madsen et al., Reference Madsen, Davis, Rhode and Oviatt2022; Oviatt et al., Reference Oviatt, Madsen, Rhode and Davis2022). Therefore, it is unclear which dated samples in the age–depth model are actually correct, if any.

Another issue with the age–depth model employed by Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) is that the sedimentation rates for the lake most likely varied over time. For instance, Allen et al. (Reference Allen, Love and Myers2009) documented several different stratigraphic units at Locality-8 that reflect alternating marsh–shallow perennial lake–alluvial plain depositional environments. Some of these geologic units contain cut and fill channels and root traces, suggesting punctuated periods of shoreline stability and instability. If so, the linear extrapolation of the 14C-based age–depth model might not serve as an accurate representative standard with which to refute the impacts of the HWE during the Pleistocene.

A simplified modern analog approach

We believe that Ruppia presently growing in the Tularosa Basin can help gauge the degree to which the HWE might have affected the Locality-2 trackway ages. As such, in this study, we employ a modern analog approach using δ13C values and radiocarbon dates from modern Ruppia plants growing in Salt Creek to establish, and correct for, the age offset that could have been introduced into seed dates by the HWE. Our sample Ruppia plants were collected from two different areas in the drainage to estimate how water quality could influence the age offset caused by the HWE. Our study demonstrates a strong positive linear relationship between the δ13C values and the age offsets (measured in both uncalibrated and calibrated radiocarbon years in Figure 5A–D) of our modern Ruppia plants (Figure 5A and B; the linear regression indicates that ~94–95% of the variance in age offsets is explained by the variance in δ13C values). In this relationship, lower δ13C values suggest that the Ruppia plant took in less DIC from the water column, resulting in a smaller HWE and a smaller age offset. Higher δ13C values, on the other hand, suggest that the Ruppia plant took in more DIC from the water column, resulting in a greater HWE and a larger age offset. Although this linear regression is based on only 12 modern observations, it does demonstrate a promising positive and direct association between δ13C values and potential age offsets caused by the HWE.

Figure 5. (A and B) Linear regression of the relationship between δ13C values and both 14C and calibrated age offsets of modern Ruppia in the Tularosa Basin. (C and D) δ13C values and both 14C and calibrated age offsets with Ruppia samples superimposed on the linear regression. The model's 95% probability intervals are indicated by the dashed line. Because both the 1σ and 2σ error ranges of the calibrated ages were very small and were difficult to represent graphically, we chose to simply plot the median values of the calibrated ages.

Our simple regression model can be used to estimate HWE-induced errors in paleo-Lake Otero's seed dates by plotting Ruppia radiocarbon δ13C values on the regression line. However, its applicability beyond the Tularosa Basin is uncertain. The Ruppia stems and seeds along the eastern paleo-Lake Otero shoreline have δ13C values ranging from −11.7 to −5.37‰, sourced from Allen et al. (Reference Allen, Love and Myers2009, Reference Allen, Love and Bustos2014) and Rachal et al. (Reference Rachal, Mead, Dello-Russo and Cuba2022). According to our model, Ruppia stems and seeds that have a δ13C value of −11.7‰ could have a minimum age offset of 7500 cal yr BP, while a δ13C value of −8.5‰ could have a minimum age offset of 8800 cal yr BP. While we can extrapolate the line of the relationship beyond the δ13C value of −8.5‰, our model loses some predictive power past that point. Nevertheless, the higher δ13C values of Ruppia stems and seeds from the Ruppia ball, such as −7.98‰, −6.13‰, and −5.37‰, further underscore the likelihood of the mixing and/or reworking of seeds with differing degrees of HWE. When these higher δ13C values are placed on the extrapolated regression line (Figure 5D), they correspond with age offsets from 10,000, 11,200, and 11,800 cal yr BP, respectively. This finding aligns, in order of magnitude, with a study by Oviatt et al. (Reference Oviatt, Pigati, Madsen, Rhode and Bright2018), which suggested that the actual ages of Ruppia seeds in a buried context could be up to 9300 yr younger than indicated by their radiocarbon dates.

As previously mentioned, Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) generated an age–depth model based on Ruppia seeds, ostracods, and charcoal ages from Locality-8 to support their hypothesis that the HWE was very minimal during the LLGM. Bennett et al. (2021b, p. 10) also stated that the similarity of the aquatic and terrestrial ages and the nearly linear slope of the age–depth curve proved that the HWE in paleo-Lake Otero was negligible between ~44,000 and ~25,000 cal yr BP. The two dates for aquatic plants, which are presumed to have been derived from Ruppia plant material, and utilized in their model (Bennett et al. 2021, p. 10), exhibit δ13C values ranging from −14.0 to −12.0‰. When these values are placed on our extrapolated regression line (Figure 5D), they are found to correspond with age offsets from 6800 to 5500 cal yr BP, respectively, for the radiocarbon dates used in their model (Bennett et al. 2021, p. 10). This would change their radiocarbon dates from 35,397 and 32,356 cal yr BP to 29,897 and 25,556 cal yr BP. Although this correction does not affect the stratigraphic ordering of the dates, it does demonstrate that both dates are individually incorrect and not congruent with the charcoal age. As a result, it is highly likely that the HWE was present and substantial in paleo-Lake Otero during the LLGM.

Salt Creek 14C age offsets and the eastern shoreline

In this study, we used δ13C isotopic values and radiocarbon age offsets from modern Salt Creek Ruppia plants to correct Ruppia radiocarbon dates on the eastern shoreline of paleo-Lake Otero, where the HWE could impact dating accuracy. The HWE can vary in magnitude both spatially and temporally (Hou et al., Reference Hou, D'Andrea and Liu2012), raising questions about the transferability of our age offsets from Salt Creek to the eastern shoreline. Key concerns include whether Salt Creek had a hydrologic connection with paleo-Lake Otero during the LLGM, whether the lake's water salinity resembled that of modern Salt Creek, and whether distant, severely impacted HWE Ruppia habitats in the lake basin were connected to the eastern shoreline. We address these issues in this section.

Salt Creek was the largest tributary to paleo-Lake Otero during the LLGM (Weir, Reference Weir1965; Hawley, Reference Hawley1993). During this wet period, it emptied into the northern margin of the lake, creating a fluvial fan delta complex with wetlands (Allen et al., Reference Allen, Love and Myers2005). This fan delta depositional setting would have been similar to the Lost River fan delta near Locality-2. Pittenger and Springer (Reference Pittenger and Springer1999) stated that the endangered White Sands pupfish (Cyprinodon tularosa) inhabited paleo-Lake Otero and extended into Salt Creek. However, during the Holocene, paleo-Lake Otero dried out, and a small population of pupfish became isolated in the wetlands of Salt Creek (Pittenger, Reference Pittenger2015). The isolated native Salt Creek pupfish population has always been regarded as evidence of a hydrologic connection between the lake and Salt Creek. The absence of pupfish in Lost River hints at isolation during the LLGM due to dunes blocking the drainage.

Salt Creek is primarily groundwater-fed (Naus et al., Reference Naus, Myers, Saleh and Myers2014), but does receive some contributions from surface water as well. Paleo-Lake Otero also received water from various sources, including enhanced surface runoff (Allen et al., Reference Allen, Love and Myers2009). Despite this runoff potentially freshening the lake, evidence from ostracods and foraminifera in paleo-Lake Otero sediments indicates brackish water conditions (~1000–100,000 mg/L), akin to today's Salt Creek (Allen et al., Reference Allen, Love and Myers2009; Rachal et al., Reference Rachal, Dello-Russo and Kurota2020, Reference Rachal, Zeigler, Dello-Russo and Solfisburg2021). Further support for this is provided by Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a), who argue for lower lake levels and reduced surface runoff when the seeds were deposited on the eastern shoreline. Springs, which respond slowly to warming events, likely maintained the low lake levels, with older ground water as the primary water source. δ13C values of ancient Ruppia seed layers along the eastern shoreline resemble or exceed those of modern Salt Creek and Malpais Spring, suggesting similar conditions in terms of water salinity, alkalinity, and groundwater hydrology between the prehistoric lake and modern Salt Creek.

Ruppia spp., a highly mobile, opportunistic, aquatic plant with rapid colonization abilities, relies on waves and currents for long-distance seed dispersal (Kantrud, Reference Kantrud1991; Lopez-Calderon et al., Reference Lopez-Calderon, Riosmena-Rodriguez, Rguez-Baron, Carrión-Cortez, Torre, Meling-López, Hinojosa, Hernandez-Carmona and García-Hernández2010). Storms or floods can detach buoyant reproductive shoots (stems and seeds), which then form drifting mats that can float from one side of a body of water to the other (Källström et al., Reference Källström, Nyqvist, Aberg, Bodin and André2008; Triest et al., Reference Triest, Sierens, Menemenlis and Van der Stocken2018). Wind pushes these mats ashore, where waves roll the material into Ruppia seed balls (Olson et al., Reference Olson, Schutz and Hammer2005). This process transfers HWE-affected Ruppia plants and seeds (without roots) from the western lake margin, depositing them on the eastern shoreline (Rachal et al., Reference Rachal, Mead, Dello-Russo and Cuba2022). Ruppia seed balls provide evidence of rapid, long-distance, direct seed dispersal, linking the eastern shoreline to various severely HWE-impacted, Pleistocene-age Ruppia habitats around the lake margin, including Salt Creek.

Salt Creek is the sole surviving remnant of paleo-Lake Otero and, being a modern analog of the lake, assumes a pivotal role as a crucial reference point. Based on the connections listed earlier, Salt Creek is a unique benchmark that can be used to better understand the spatial and temporal variations in δ13C values and radiocarbon age offsets in the lake basin. Consequently, it enables us to apply our regression model for estimating age offsets to the trackway Ruppia dates on the eastern shoreline.

CONCLUSION AND CHRONOLOGICAL IMPLICATIONS

In the Salt Creek samples, the HWE is large and highly variable over spatial and short, temporal scales. Correspondingly, the δ13C values for the Ruppia plant tissue ranged from −19.26 to −8.52‰, while the 14C age offset of the plants ranged from 8878 to 1728 cal yr BP. These variations are most likely caused by changes in the differential contributions of inorganic and organic carbon sources in Salt Creek. Thus, the more enriched the δ13C values, the larger the age offset.

Based on these findings and our modern analog model, we propose that the Ruppia seed dates used to constrain the age of the human footprints at White Sands National Park to around 23,000–21,000 cal yr BP could be at least ~7500 yr too old. Given this, the ages reported by Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) would be, at a maximum, on the order of 15,500–13,500 cal yr BP. This corrected, maximum limiting age range falls roughly in line with the ages of other older archaeological sites in North America (e.g., Jenkins et al., Reference Jenkins, Davis, Stafford, Campos, Hockett, Jones and Cummings2012; Halligan et al., Reference Halligan, Halligan, Waters, Perrotti, Owens, Feinberg, Bourne and Fenerty2016; Waters et al., Reference Waters, Keene, Forman, Prewitt, Carlson and Wiederhold2018; Williams et al., Reference Williams, Collins, Rodrigues, Rink, Velchoff, Keen-Zebert and Gilmer2018; Davis et al., Reference Davis, Madsen, Becerra-Valdivia, Higham, Sisson, Skinner and Stueber2019) and is also consistent with the apparent co-occurrence of human and mammoth tracks in the stratigraphic record at Locality-2. In the latter situation, the human footprints must be at least as old as 12,700 cal yr BP, as the final mammoth population appears to have declined around the onset of the Younger Dryas in the southwestern United States (Stewart et al., Reference Stewart, Carleton and Groucutt2021). While human footprints of this revised age would still be a significant discovery, Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a) have, unfortunately, not reported their δ13C values, so a precise evaluation of their Ruppia dates is not possible at this time. We hope that those δ13C values can soon be made publicly available and their chronological claims can be assessed with our modern analog model.

POSTSCRIPT

During the review of our manuscript, Pigati et al. (Reference Pigati, Springer, Honke, Wahl, Champagne, Zimmerman and Gray2023) published pollen dates that appear to strongly agree with their previously published Ruppia seed dates, raising questions about how two research teams could reach contrasting conclusions regarding the likely ages of the human tracks in Locality-2. This disparity stems from conflicting interpretations of the stratigraphic and geomorphic contexts of the seed layers.

Bennett et al. (Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021a, Reference Bennett, Bustos, Pigati, Springer, Urban, Holliday and Reynolds2021b) and Pigati et al. (Reference Pigati, Springer, Bennett, Bustos, Urban, Holliday, Reynolds and Odess2022a, Reference Pigati, Springer, Holliday, Bennett, Bustos, Urban, Reynolds and Odess2022b, Reference Pigati, Springer, Honke, Wahl, Champagne, Zimmerman and Gray2023) perceive the shoreline of paleo-Lake Otero as a stable geomorphic setting where Ruppia plants grew in situ in shallow, fresh water with no potential for the HWE. Our interpretation, presented in our current paper and by Rachal et al. (Reference Rachal, Mead, Dello-Russo and Cuba2022), considers the site to have been an unstable, dynamic environment where HWE-affected Ruppia seeds had been introduced from an ex situ location and were subsequently subjected to cycles of redeposition and mixing. This is evidenced by the presence, within the thinly bedded alluvial sediments at Locality-2, of aggregated Ruppia seed balls and unaggregated seed layers composed of buoyant plant parts and reproductive shoots (stems and seeds, absent any roots). Therefore, because the Ruppia seeds had, in our opinion, been redeposited, it is likely that any pollen deposits introduced to the site had also undergone redeposition and mixing.

The influence of older pollen within 14C-dated pollen samples can thus result in significant age discrepancies, potentially spanning hundreds or even thousands of years (Neulieb et al., Reference Neulieb, Levac, Southon, Lewis, Pendea and Chmura2013). The magnitude of these discrepancies depends on the interplay between the continuous production and deposition of contemporary pollen and the erosion and redeposition of ancient pollen that has been preserved in the landscape (Zimmerman et al., Reference Zimmerman, Brown, Hassel and Heck2019). If reworked older pollen is present in the samples, it introduces chronometric uncertainty and the potential for data distortion, resulting in dates that do not accurately represent the true ages of the deposit from which the pollen samples were recovered. Resolving the stratigraphic and geomorphic context issues for pollen is crucial before the radiocarbon ages of such samples can be accepted as representing the age of the deposit.

Acknowledgments

The authors thank White Sands Missile Range (WSMR) for allowing us access to the government facility. We specifically thank Jim Bowman (Base Archaeologist) and Debbie Nethers and Patrick Morrow (Base Ecologists) for their support and openness to conducting an independent study on WSMR's interesting Ruppia meadows and their approval to publish this study. The authors also thank Shawn Salley (NRCS), Kyle McClean (USGS), and David Rhode (DRI) for sharing their ideas at various times during the writing of this article. Finally, we thank the Quaternary Research editors Derek Booth and Lesleigh Anderson, together with Charles (Jack) Oviatt and three other anonymous reviewers, for their insightful comments and suggestions.

References

REFERENCES

Ailstock, M.S., Shafer, D.J., Magoun, A.D., 2010. Protocols for use of Potamogeton perfoliatus and Ruppia maritima seeds in large-scale restoration. Restoration Ecology 18, 560573.CrossRefGoogle Scholar
Allen, B.D., Love, D.W., Bustos, D., 2014. Stratigraphic Study of Late Pleistocene Fossil-Track-bearing Deposits on White Sands National Monument. Report to National Park Service, White Sands National Monument, under Task Agreement No. P12AC71216.Google Scholar
Allen, B.D., Love, D.W., Myers, R.G., 2005. Hydrologic and wetland-habitat response to Late Quaternary climatic change, Northern Tularosa Basin, New Mexico, determined by sedimentology and geomorphology. In: 2005 New Mexico Water Research Symposium, August 16, 2005, New Mexico Water Resources Research Institute, Socorro, NM, p. E-6 (abstract/poster).Google Scholar
Allen, B.D., Love, D.W., Myers, R.G., 2009. Evidence for Late Pleistocene hydrologic and climatic change from Lake Otero, Tularosa Basin, south central New Mexico. New Mexico Geology 31, 925.CrossRefGoogle Scholar
Anderson, W.T., Fourqurean, J.W., 2003. Intra- and interannual variability in seagrass carbon and nitrogen stable isotopes from south Florida, a preliminary study. Organic Geochemistry 34, 185194.CrossRefGoogle Scholar
Bailey, P.C.E., Boon, P.I., Blinn, D.W., Williams, W.D., 2006. Salinization as an ecological perturbation to rivers, streams and wetlands of arid and semi-arid zones. In: Kingsford, R. (Ed.), Changeable, Changes, Changing: The Ecology of Rivers from the World's Dry Regions. Cambridge University Press, Cambridge, pp. 280314.Google Scholar
Bennett, M.R., Bustos, D., Pigati, J.S., Springer, K.B., Urban, T.M., Holliday, V.T., Reynolds, S.C., et al., 2021a. Evidence of humans in North America during the Last Glacial Maximum. Science 373, 15281531.CrossRefGoogle ScholarPubMed
Bennett, M.R., Bustos, D., Pigati, J.S., Springer, K.B., Urban, T.M., Holliday, V.T., Reynolds, S.C., et al., 2021b. Supplementary materials for “Evidence of Humans in North America during the Last Glacial Maximum.” Science 373. https://www.science.org/action/downloadSupplement?doi=10.1126%2Fscience.abg7586&file=science.abg7586_SM.pdf.CrossRefGoogle Scholar
Boutton, T.W., 1991. Stable carbon isotope ratios of natural materials: II. Atmospheric, terrestrial, marine, and freshwater environments. In: Coleman, D.C., Fry, B. (Eds.), Carbon Isotope Techniques. Academic Press, New York, pp. 173185.CrossRefGoogle Scholar
Boyce, M.C., Lavery, P., Bennett, I.J., Horwitz, P., 2001. Spatial variation in the δ13C signature of Ruppia megacarpa (Mason) in coastal lagoons of southwestern Australia and its implication for isotopic studies. Aquatic Botany 71, 8392.CrossRefGoogle Scholar
Chappuis, E., Seriñá, V., Martí, E., Ballesteros, E., Gacia, E., 2017. Decrypting stable-isotope (δ13C and δ15N) variability in aquatic plants. Freshwater Biology 62, 18071818.CrossRefGoogle Scholar
Clark, P.U., Dyke, A.S., Shakun, J.D., Carlson, A.E., Clark, J., Wohlfarth, B., Mitrovica, J.X., Hostetler, S.W., McCabe, A.M., 2009. The Last Glacial Maximum. Science 325, 710714.CrossRefGoogle ScholarPubMed
Craig, H., 1957. Isotopic standards for carbon and oxygen and correlation factors for mass-spectrometric analysis of carbon dioxide. Geochimica et Cosmochimica Acta 12, 133149.CrossRefGoogle Scholar
Davis, L.G., Madsen, D.B., Becerra-Valdivia, L., Higham, T., Sisson, D.A., Skinner, S.M., Stueber, D., et al., 2019. Late Upper Paleolithic occupation at Cooper's Ferry, Idaho, USA, ~16,000 years ago. Science 365, 891897.CrossRefGoogle Scholar
de Vries, H., 1958. Atomic bomb effect: variation of radiocarbon in plants, shells, and snails in the past 4 years. Science 128, 250251.CrossRefGoogle ScholarPubMed
Dunbar, N., 1999. Cosmogenic 36Cl-determined age of the Carrizozo lava flows, south-central New Mexico. New Mexico Geology 21, 2529.CrossRefGoogle Scholar
Firmin, A., Selosse, M., Dunand, C., Elger, A., 2022. Mixotrophy in aquatic plants, an overlooked ability. Trends in Plant Science 27, https://doi.org/10.1016/j.tplants.2021.08.011.CrossRefGoogle ScholarPubMed
Fontes, J.C., Gasse, F., Gibert, E., 1996. Holocene environmental changes in Lake Bangong basin (Western Tibet). Part 1: chronology and stable isotopes of carbonates of a Holocene lacustrine core. Palaeogeography, Palaeoclimatology, Palaeoecology 120, 2547.CrossRefGoogle Scholar
Fryberger, S., 2023. A Geological Overview of White Sands National Park, New Mexico, USA. 2nd ed. 2023 (preprint). https://doi.org/10.13140/RG.2.2.34758.45127.CrossRefGoogle Scholar
Gallegos, R.A., 1999. Biogenic Carbonate, Desert Vegetation, and Stable Carbon Isotopes. Master's thesis, New Mexico State University, Las Cruces.Google Scholar
Gouramanis, C., Wilkins, D., Deckker, P., 2010. 6000 years of environmental changes recorded in Blue Lake, South Australia, based on ostracod ecology and valve chemistry. Palaeogeography, Palaeoclimatology, Palaeoecology 297, 223237.CrossRefGoogle Scholar
Graven, H.D., 2015. Impact of fossil fuel emissions on atmospheric radiocarbon and various applications of radiocarbon over this century. Proceedings of the National Academy of Sciences USA 112, 95429545.CrossRefGoogle ScholarPubMed
Hajdas, I., Bonani, G., Zimmerman, S., Mendelson, M., Hemming, S., 2004. 14C ages of ostracods from Pleistocene lake sediments of the western Great Basin, USA—results of progressive acid leaching. Radiocarbon 46, 891897.CrossRefGoogle Scholar
Halligan, J.J., Halligan, J.J., Waters, M.R., Perrotti, A., Owens, I.J., Feinberg, J.M., Bourne, M.D., Fenerty, B., et al., 2016. Pre-Clovis occupation 14,550 years ago at the Page-Ladson site, Florida, and the peopling of the Americas. Science Advances 2, e1600375.CrossRefGoogle Scholar
Hammer, U.T., 1986. Saline Lake Ecosystems of the World. Junk, Dordrecht, Netherlands.Google Scholar
Hawley, J.W., 1993. Geomorphic Setting and Late Quaternary History of Pluvial-Lake Basins in the Southern New Mexico Region. New Mexico Bureau of Mines and Mineral Resources, Open-File Report 391, 128.CrossRefGoogle Scholar
Haynes, C.V. Jr., 2022. Evidence for humans at White Sands National Park during the Last Glacial Maximum could actually be for Clovis People ~13,000 years ago. PaleoAmerica 8, 9598.CrossRefGoogle Scholar
Hellblom, F., Axelsson, L., 2003. External HCO3- dehydration maintained by acid zones in the plasma membrane is an important component of the photosynthetic carbon uptake in Ruppia cirrhosa. Photosynthesis Research 77, 173181.CrossRefGoogle ScholarPubMed
Hemminga, M., Mateo, L.M., 1996. Stable carbon isotopes in seagrasses: variability in ratios and use in ecological studies. Marine Ecology Progress Series 140, 285298.CrossRefGoogle Scholar
Hogan, J.F., Phillips, F.M., Mills, S.K., Hendrix, J.M.H., Ruiz, J., Chesley, J.T., Asmerom, Y., 2007. Geologic origins of salinization in a semi-arid river: the role of sedimentary basin brines. Geology 35, 10631066.CrossRefGoogle Scholar
Holliday, V.T., 2022. Tracing the First American—White Sands. Pacific Coast Archaeological Society. YouTube, September 5, 2022, https://www.youtube.com/watch?v=PWb7dyQtRdE.Google Scholar
Hou, J., D'Andrea, W.J., Liu, Z., 2012. The influence of the 14C reservoir age on interpretation of paleolimnological records from the Tibetan Plateau. Quaternary Science Reviews 48, 6779.CrossRefGoogle Scholar
Jenkins, D.L., Davis, L.G., Stafford, T.W. Jr., Campos, P.F., Hockett, B., Jones, G.T., Cummings, L.S., et al., 2012. Clovis age western stemmed projectile points and human coprolites at the Paisley Caves. Science 337, 223228.CrossRefGoogle ScholarPubMed
Junginger, A., Roller, S., Trauth, M.H., 2014. The effect of solar irradiation changes on water levels in the paleo-Lake Suguta, Northern Kenya Rift, during the Late Pleistocene African Humid Period (15–5 ka BP). Palaeogeography, Palaeoclimatology, Palaeoecology 396, 116.CrossRefGoogle Scholar
Kalanke, J., Mingram, J., Lauterbach, S., Ryskul, U., Tjallingii, R., Brauer, A., 2020. Seasonal deposition processes and chronology of a varved Holocene sediment record from Chatyr Kol lake (Kyrgyz Republic). Geochronology 2, 133154.CrossRefGoogle Scholar
Källström, B., Nyqvist, A., Aberg, P., Bodin, M., André, C., 2008. Seed rafting as a dispersal strategy for eelgrass (Zostera marina). Aquatic Botany 88, 148153.CrossRefGoogle Scholar
Kantrud, H.A., 1991. Wigeongrass (Ruppia maritima L.): A Literature Review. U.S. Fish and Wildlife Service, Fish and Wildlife Research 10. Northern Prairie Wildlife Research Center Home Page Jamestown, ND. https://apps.dtic.mil/sti/pdfs/ADA322676.pdf.Google Scholar
Keeley, J.E., Sandquist, D.R., 1992. Carbon: freshwater plants. Plant, Cell and Environment 15, 10211035.CrossRefGoogle Scholar
Land, L., 2016. Overview of Fresh and Brackish Water Quality in New Mexico. New Mexico Bureau of Geology Mineral Resources, Open-File Report, v. 0583, p. 55.CrossRefGoogle Scholar
Langford, R., Rose, J., White, D., 2009. Groundwater salinity as a control on development of eolian landscape: an example from the White Sands of New Mexico. Geomorphology 105, 3949.CrossRefGoogle Scholar
Liu, T., Weijian, Z., Peng, C., Burr, G., 2017. A survey of the 14C content of dissolved inorganic carbon in Chinese lakes. Radiocarbon 60, 112.Google Scholar
Lopez-Calderon, J., Riosmena-Rodriguez, R., Rguez-Baron, J.M., Carrión-Cortez, J. Torre, , J., Meling-López, A., Hinojosa, A., G., Hernandez-Carmona, G., García-Hernández, J., 2010. Outstanding appearance of Ruppia maritima along Baja California Sur, México and its influence in trophic networks. Marine Biodiversity 40, 293300.CrossRefGoogle Scholar
Love, D.W., Allen, B., Morgan, G., Myers, R., 2014. Radiocarbon and fossil vertebrate ages of Late Pleistocene and Holocene sediments imply rapid rates of evaporite deposition in the northern Tularosa Basin, south central New Mexico: geology of the Sacramento Mountains Region, Rawling, Geoffrey. In: McLemore, V.T., Timmons, S., Dunbar, N. (Eds.), New Mexico Geological Society 65th Annual Fall Field Conference Guidebook. New Mexico Geological Society, Socorro, p. 318.Google Scholar
Lucas, W.J., 1983. Photosynthetic assimilation of exogenous HCO3- by aquatic plants. Annual Review of Plant Physiology 34, 71104.CrossRefGoogle Scholar
Madsen, D.B., Davis, L.G., Rhode, D., Oviatt, C.G., 2022. Comment on “Evidence of humans in North America during the Last Glacial Maximum.” Science 375. https://doi.org/10.1126/science.abm4678.CrossRefGoogle Scholar
Mannino, A., Menendez, M., Obrador, B., Sfriso, A., Triest, L., 2015. The genus Ruppia L. (Ruppiaceae) in the Mediterranean region: an overview. Aquatic Botany 124, 19.CrossRefGoogle Scholar
Marcenko, E., Srdoc, D., Golubic, S., Pedzic, J., Head, M.J., 2016. Carbon uptake in aquatic plants deduced from their natural 13C and 14C content. Radiocarbon 31, 785794.CrossRefGoogle Scholar
Menéndez, M., Penuelas, J., 1993. Seasonal photosynthetic and respiratory responses of Ruppia cirrhosa (Petagna) Grande to changes in light and temperature. Archiv Für Hydrobiologie 129, 221230.CrossRefGoogle Scholar
Myers, R.G., Naus, C.A., 2004. A summarized review of selected hydrologic characteristics of the White Sands pupfish (Cyprinodon tularosa) habitats, Tularosa Basin, New Mexico. US Army White Sands Missile Range and US Geological Survey. In: 2004 New Mexico Water Research Symposium, New Mexico Water Resources Research Institute, Socorro, NM. Page E (Poster).Google Scholar
Naus, C.A., Myers, R.G., Saleh, D.K., Myers, N.C., 2014. Compilation of Hydrologic Data for White Sands Pupfish Habitat and Nonhabitat Areas, Northern Tularosa Basin, White Sands Missile Range and Holloman Air Force Basin, New Mexico, 1911–2008. U.S. Geological Survey Data Series 810. https://doi.org/10.3133/ds810.CrossRefGoogle Scholar
Neulieb, T., Levac, E., Southon, J., Lewis, M., Pendea, I., & Chmura, G., 2013. Potential pitfalls of pollen dating. Radiocarbon 55, 11421155. https: doi: 10.1017/S0033822200048050.CrossRefGoogle Scholar
Olson, R.W., Schutz, J.K., Hammer, U.T., 2005. Occurrence, composition, and formation of Ruppia, Widgeon Grass, balls in Saskatchewan Lakes. Canadian Field-Naturalist 119, 114117.CrossRefGoogle Scholar
Olsson, I.U., 1980. Radiocarbon dating of material from different reservoirs. In: Seuss, H.E., Berger, R. (Eds.), Radiocarbon Dating. UCLA Press, San Diego, pp. 613618.Google Scholar
Osmond, C.B., Valaane, N., Haslam, S.M. Uotila, P., Roksandic, Z., 1981. Comparisons of δ13C values in leaves of aquatic macrophytes from different habitats in Britain and Finland; some implications for photosynthetic processes in aquatic plants. Oecologia 50, 117124.CrossRefGoogle ScholarPubMed
Oviatt, C.G., Madsen, D.B., Rhode, D.R., Davis, L.G., 2022. A critical assessment of claims that human footprints in the Lake Otero basin, New Mexico date to the Last Glacial Maximum. Quaternary Research 111, 138147.CrossRefGoogle Scholar
Oviatt, C.G., Pigati, J.S., Madsen, D.B., Rhode, D., Bright, J., 2018. Juke Box Trench: A Valuable Archive of Late Pleistocene and Holocene Stratigraphy in the Bonneville Basin, Utah (USA). Miscellaneous Publication 18-1. Utah Geological Survey, Salt Lake City. https://ugspub.nr.utah.gov/publications/misc_pubs/mp-18-1.pdf.Google Scholar
Philippsen, B., 2013. The freshwater reservoir effect in radiocarbon dating. Heritage Science 1, 24.CrossRefGoogle Scholar
Pigati, J.S., Springer, K., Bennett, M.R., Bustos, D., Urban, T., Holliday, V., Reynolds, S., Odess, D., 2022a. Response to comment on the article “Evidence of Humans in North America during the Last Glacial Maximum.” Science 375. http://.doi.10.1126/science.abm6987.CrossRefGoogle Scholar
Pigati, J.S., Springer, K.B., Holliday, V.T., Bennett, M.R., Bustos, D., Urban, T.M., Reynolds, S.C., Odess, D., 2022b. Reply to “Evidence for Humans at White Sands National Park during the Last Glacial Maximum Could Actually be for Clovis People ~13,000 Years Ago,” by C. Vance Haynes, Jr. Paleoamerica 8. https://doi.org/10.1080/20555563.2022.2039863.CrossRefGoogle Scholar
Pigati, J.S., Springer, K.B., Honke, J.S., Wahl, D., Champagne, M.R., Zimmerman, S.R.H., Gray, H.J., et al., 2023. Independent age estimates resolve the controversy of ancient human footprints at White Sands. Science 382, 7375.CrossRefGoogle ScholarPubMed
Pittenger, J., 2015. White Sands Pupfish Conservation Plan. White Sands Missile Range, New Mexico.Google Scholar
Pittenger, J., Springer, C.L., 1999. Native range and conservation of the White Sands pupfish (Cyprinodon tularosa). Southwestern Naturalist 44, 157165.Google Scholar
Potter, B.A., Baichtal, J.F., Beaudoin, A.B., Fehren-Schmitz, L., Haynes, C.V., Holliday, V.T., Holmes, C.E., et al., 2018. Current evidence allows multiple models for the peopling of the Americas. Science Advances 4(8). https://doi.org/10.1126/sciadv.aat5473.CrossRefGoogle ScholarPubMed
Potter, B.A., Chatters, J.C., Prentiss, A.M., Fiedel, S.J., Haynes, G., Kelly, R.L., Kilby, J.D., et al., 2022. Current understanding of the earliest human occupations in the Americas: evaluation of Becerra-Valdivia and Higham (2020). PaleoAmerica 8, 6276.CrossRefGoogle Scholar
Rachal, D.M., Dello-Russo, R., Kurota, A., 2020. Shoreline soil stratigraphy, landscape evolution and application to Archaeological studies, White Sands, National Park, New Mexico. In: White Sands National Park Archaeology: Survey of the Paleoshoreline of Lake Otero, Dona Ana County, New Mexico. OCA/UNM Report No. 185-1241. Office of Contract Archeology, University of New Mexico, Albuquerque, chap. 11.Google Scholar
Rachal, D.M., Mead, J.I., Dello-Russo, R., Cuba, M.T., 2022. Deep-water delivery model of Ruppia seeds to a nearshore/terrestrial setting and its chronological implications for Late Pleistocene footprints, Tularosa Basin, New Mexico. Geoarchaeology 37. http://doi.10.1002/gea.21937.CrossRefGoogle Scholar
Rachal, D.M., Zeigler, K., Dello-Russo, R., Solfisburg, C., 2021. Lake levels and trackways: an alternative model to explain the timing of human-megafauna trackway intersections, Tularosa Basin, New Mexico. Quaternary Science Advances 3, 100024.CrossRefGoogle Scholar
Sand-Jensen, K., Gordon, D.M., 1984. Differential ability of marine and fresh-water macrophytes to utilize HCO3− and CO2. Marine Biology 80, 247253.CrossRefGoogle Scholar
Santos, G., Ormsby, K., 2013. Behavioral variability in ABA chemical pretreatment to the 14C age limit. Radiocarbon 55, 534544.CrossRefGoogle Scholar
Stewart, M., Carleton, W.C., Groucutt, H.S., 2021. Climate change, not human population growth, correlates with Late Quaternary megafauna declines in North America. Nature Communications 12, 965.CrossRefGoogle ScholarPubMed
Stuiver, M., Reimer, P.J., Reimer, R.W., 2021. CALIB 8.2. http://calib.org, accessed March 20, 2022.Google Scholar
Swanson, G.A., Winter, T.C., Adomaitis, V.A., LaBaugh, J.W., 1988. Chemical Characteristics of Prairie Lakes in South-Central North Dakota: Their Potential for Influencing Use by Fish and Wildlife. Technical Report 18. U.S. Department of the Interior, Fish and Wildlife Service.Google Scholar
Triest, L., Sierens, T., Menemenlis, D., Van der Stocken, T., 2018. Inferring connectivity range in submerged aquatic populations (Ruppia L.) along European coastal lagoons from genetic imprint and simulated dispersal trajectories. Frontiers in Plant Science 9(806). http://doi.org/10.3389/fpls.2018.00806.CrossRefGoogle ScholarPubMed
Verhoeven, J.T.A., 1979. The ecology of Ruppia-dominated communities in western Europe. I. Distribution of Ruppia representatives in relation to their autecology. Aquatic Botany 6, 197268.CrossRefGoogle Scholar
Verhoeven, J.T.A., 1980. The ecology of Ruppia-dominated communities in Western Europe. II. Synecological classification. Structure and dynamics of the macroflora and macrofauna communities. Aquatic Botany 8, 185.CrossRefGoogle Scholar
Vizzini, S., Gianluca, S., Miguel, M., Mazzola, A., 2003. δ13C and δ15N variability in Posidonia oceanica associated with seasonality and plant fraction. Aquatic Botany 76, 195202.CrossRefGoogle Scholar
Wacker, L., Christly, M., Synal, H.A., 2010. Bats: a new tool for AMS data reduction. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 268, 976979.CrossRefGoogle Scholar
Waters, M.R., Keene, J.L., Forman, S.L., Prewitt, E.R., Carlson, D.L., Wiederhold, J.E., 2018. Pre-Clovis projectile points at the Debra L. Friedkin site, Texas—implications for the Late Pleistocene peopling of the Americas. Science Advances 4. http://doi.org/10.1126/sciadv.aat4505.CrossRefGoogle ScholarPubMed
Weir, J.E. Jr., 1965. Geology and Availability of Groundwater in the Northern Part of the White Sands Missile Range and Vicinity, New Mexico. U.S. Geological Survey Water-Supply Paper 1801, p. 78.Google Scholar
Williams, J.W., Jackson, S.T., 2007. Novel climates, no-analog communities, and ecological surprises. Frontiers in Ecology and the Environment 5, 475482.CrossRefGoogle Scholar
Williams, T.J., Collins, M.B., Rodrigues, K., Rink, W.J., Velchoff, N., Keen-Zebert, A., Gilmer, A., et al., 2018. Evidence of an early projectile point technology in North America at the Gault Site, Texas, USA. Science Advances 4. https://doi.org/10.1126/sciadv.aar5954.CrossRefGoogle ScholarPubMed
Zhou, A., Chen, F., Wang, Z., Yang, M., Qiang, M., Zhang, J., 2009. Temporal change of radiocarbon effect in Sugan Lake, Northwest China during the Late Holocene. Radiocarbon 51, 529535.CrossRefGoogle Scholar
Zimmerman, S.R.H., Brown, T.A., Hassel, C., Heck, J., 2019. Testing pollen sorted by flow cytometry as the basis for high-resolution lacustrine chronologies. Radiocarbon 61, 359374.CrossRefGoogle Scholar
Zimmerman, S.R.H., Steponaitis, E., Hemming, S.R., Zermeño, P., 2012. Potential for accurate and precise radiocarbon ages in deglacial-age lacustrine carbonates. Quaternary Geochronology 13, 8191.CrossRefGoogle Scholar
Figure 0

Figure 1. (A) Map showing perennial (solid line) and ephemeral (dashed line) stream reaches in the northern Tularosa Basin, with the red line outlining Ruppia distribution along Salt Creek. It also shows the location of Locality-2 in relation to the Salt Creek. Our Ruppia plant samples were collected from two locations in the northern and southern perennial sections of Salt Creek. (B) A photo of a Ruppia meadow in the north reach of Salt Creek. The water depth is ~90 cm. Note push probe sample of the underlying reduced aqueous soil/sediment. (C) A photo of a submerged Ruppia meadow in the south reach of Salt Creek. The water depth is ~40 cm. Note push probe sample of the massive, structureless organic rich sediment in which plant is growing.

Figure 1

Table 1. Summary of radiocarbon and calibrated ages along with δ13C values.

Figure 2

Figure 2. Graph depicting δ13C and both calibrated and 14C (inset graph) age changes in modern Ruppia during May, August, and October, indicating mixotrophic behavior in this aquatic plant across its annual life cycle. These samples were gathered from the southern perennial part of Salt Creek.

Figure 3

Figure 3. Linear regression demonstrating a weak correlation (r2 = 0.18) between water depth and both calibrated and 14C age (inset graph) offsets of modern Ruppia in the Salt Creek. These results suggest that even in shallow, well-mixed waters in atmospheric equilibrium, the utilization of DIC by Ruppia is significant.

Figure 4

Figure 4. δ13C values of a Ruppia seed ball. This seed ball was collected from a partially buried seed layer on the eastern paleo-Lake Otero shoreline. The seeds from the ball yielded several radiocarbon dates, which span a ~1500-yr period, that ranged from 22,411 and 20,834 cal yr BP (see Rachal et al., 2022). Inset photographs (1 through 4) located at the base of the illustration shows the various components of a Ruppia seed ball. Inset Photo 1: Ruppia Seed balls are composed of reproductive shoots (seeds and stems) from the plant's flower part. Ruppia seed balls are composed of detached reproductive shoots (seeds and stems) from the flowering part of the plant. Inset Photo 2: Seeds are beaked and black, 1.5 to 2 mm long and 1 to 1.5 mm wide. Inset Photo 3: Stems can be 1 to 2 cm long and are often still attached to the seed. They can be found as seed layers at Locality-2. Inset Photo 4: These seeds and stems can float and are often rolled into a vegetative ball by wave action in the littoral zone of a lake (Olson et al., 2005).

Figure 5

Figure 5. (A and B) Linear regression of the relationship between δ13C values and both 14C and calibrated age offsets of modern Ruppia in the Tularosa Basin. (C and D) δ13C values and both 14C and calibrated age offsets with Ruppia samples superimposed on the linear regression. The model's 95% probability intervals are indicated by the dashed line. Because both the 1σ and 2σ error ranges of the calibrated ages were very small and were difficult to represent graphically, we chose to simply plot the median values of the calibrated ages.