Search

Rots and Plisson (2014) question our conclusion that 500,000-year-old points from Kathu Pan 1, South Africa were used as spear tips (Wilkins et al., 2012). However, their reinterpretation of the fractures we identify as diagnostic impact fractures are incorrect. Despite the assertion, knapping processes alone do not explain the basal modifications on the KP1 points. Although Rots and Plisson are critical of the edge damage distribution method, it provides objective, quantitative and statistical comparisons of experimental and archaeological datasets. The data we present stand as reliable evidence for early hafted hunting technology. We suggest that the disagreement stems from a differing perspective on how lithic functional studies should deal with equifinality and the challenge of confidently assessing stone tool function. [ABSTRACT FROM AUTHOR]

Zooarchaeologists frequently use the relative abundance of skeletal elements in faunal assemblages in conjunction with foraging theory models to infer subsistence decisions made by prehistoric hunter-gatherers. However, foraging models applied to ethnoarchaeological cases have had variable success linking skeletal transport decisions with foraging predictions. Here, we approach this issue with the well-known Hadza data to statistically model the skeletal element transport decisions in response to distance from the residential hub and the number of carriers available for carcass transport. We compare our modeling approach to the traditional skeletal element utility curves from Binford's work with the Nunamiut, and to the more recently proposed Shannon evenness measure. Our approach, based on standard yet powerful statistical modeling techniques, can help researchers gain increased insight into the prey part transport responses of hunter-gatherers. Our analyses treat individual prey skeletal elements by body size as the response variable. The results of this analysis suggest that utility curves, and the Shannon evenness approach as a proxy for utility curves, are problematic for making statements about prehistoric foraging from zooarchaeological data. Transport distance does not explain a significant portion of small prey (size class 2) skeletal element transport variation. However, distance explains a great deal of transport variation in large prey (size classes 4 and 5). Inferences from skeletal element profiles should be made relative to prey body size and the discard probability of individual elements. Understanding the influence of these variables allows construction of a framework for testing archaeological element profiles against ethnographically derived transport models. [ABSTRACT FROM AUTHOR]

Abstract: The interpretation of taphonomic and behavioral lithic edge wear formation is complicated by equifinality of edge damage morphologies. Rejecting hypotheses that edge damage originates from taphonomic processes is standard practice for many archaeological analyses and should be incorporated into lithic use-wear more explicitly. Quantitative hypothesis testing is advocated here, and facilitated by recording edge wear observations in an image referenced GIS spatial environment. A taphonomic predictive model was generated using trampling and flint-knapping experiments. Trampling experiments were conducted to determine how edge damage is distributed along tool edges due to non-use related, taphonomic processes. Experiments designed to test the assumption that undisturbed flakes do not preferentially orient either surface side-up (dorsal or ventral) were performed. Furthermore, it is argued that artifact orientation data, if available, can also be used to assess whether the frequency of edge damage is correlated with the degree of disturbance. This taphonomic predictive model is then statistically compared with frequency and distribution edge damage data from two South African Middle Stone Age sites. The research presented here illustrates the usefulness of edge damage distribution analysis for accounting for taphonomic processes as causal agents of edge damage formation, and strengthening behavioral interpretations regarding tool function. Bringing tool wear observations into a uniform spatial structure is one avenue for standardization of lithic use-wear analysis. [Copyright &y& Elsevier]

Abstract: Unretouched convergent flakes are frequently a well represented tool type in many Middle Stone Age (MSA) assemblages. Damage to the lateral margins of these points is frequent; however, analytical methods for dealing with the frequency and distribution of edge damage on points have not been developed and applied to a complete MSA lithic assemblage. A method for using GIS to quantify edge damage and statistically analyze the relative location and frequency of edge damage is presented here and applied to the complete assemblage of MSA points from Pinnacle Point Cave 13B (PP13B), South Africa. The results indicate a frequency of edge damage consistent with heavier utilization of the dorsal surface over the ventral surface, and the left side over the right, with the dorsal left lateral margin being most heavily damaged. Additionally, the distribution of edge damage and low frequency of impact damage to the points suggest that PP13B represents a location where points were used for cutting activities and discarded. Applying the recording procedures advocated here to controlled edge damage replication experiments will help provide the interpretive linkages to site assemblage edge damage distributions. [ABSTRACT FROM AUTHOR]

The invention of projectile technology had important ramifications for hominin evolution. However, the number of stone points that could have been used as projectiles fluctuates in archaeological assemblages, making it difficult to define when projectile technology was first widely adopted and how its usage changed over time. Here we use an agent-based model to simulate a hunter-gatherer foraging system where armatures are dropped according to their usage. We explore the impact of interactions between human behaviors and the environmental constraints of a data-informed landscape on the distribution and number of lithic armatures found in archaeological assemblages. We ran 2400 simulations modeling different population sizes, rates of hunting with projectiles, and tool curation levels. For each simulation, we recorded the location of dropped armatures and calculated the number and percentage of used armatures that were discarded at habitation camps vs. lost during hunting. We used linear regression to identify the demographic, behavioral, and environmental factor(s) that best explained changes in these numbers and percentages. The model results show that in a well-controlled environment, most armatures used as projectile weapons are lost or discarded at hunting sites; only ∼4.5% of used armatures (or ∼2 armatures per year of simulation) are discarded in habitation camps where they would likely be excavated. These findings suggest that even rare hafted armatures found in the Early and Middle Stone Age could indicate a well-established use of such tools. Our model shows that interactions between reoccupation of archaeological sites, population size, rate of hunting with projectile weapons, and tool curation levels strongly influence the count of lithic armatures found in archaeological assemblages. Therefore, we argue that fluctuations in the counts of armatures documented at archaeological sites should be evaluated within their demographic and environmental contexts to better understand if they reflect spatiotemporal changes in hunting behavior. [ABSTRACT FROM AUTHOR]