Culling profiles: the indeterminacy of archaeozoological data to survivorship curve modelling of sheep and goat herd maintenance strategies

Marom, Nimrod; Bar-Oz, Guy

doi:10.1016/j.jas.2009.01.007

Cited by 43 publications

(8 citation statements)

References 16 publications

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“…As climatic and environmental variations could not have been the only factors to explain such a human evolution, several scholars have oriented the debate to other directions: change in symbolic, cultural and cognitive values (Cauvin 1997;Jongsma & Greenfield 2002;Watkins 1992;); new techniques of storage and of accumulating wealth (Testart 1982); new tradition of food production (e.g. Helmer et al 2005;Larson et al 2007;Vigne 2008;Evershed et al 2008;Marom & Bar-Oz 2009;Tresset et al 2009;Edwards et al 2011).…”

Section: Introductionmentioning

confidence: 99%

The Consumption of Bone Powder in the Early Neolithic Societies of Southeastern Europe: Evidence of a Diet Stress?

Vieugué¹,

Salanova²,

Regert³

et al. 2015

CAJ

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Research performed on Early Neolithic ceramic assemblages from southwestern Bulgaria has revealed that several categories of pottery were used for the preparation of foodstuffs. One particular type of beige residue has been identified on the inner surface of ceramic vessels from several sites. Chemical analyses of mineral residues, combined with the stylistic characteristics of ceramic vessels, have shown the consumption of bone powder. This consumption, far from being anecdotal, raises several questions regarding the diet behaviour of the earliest Neolithic communities in the Balkans, which have obviously sought a complementary source of calcium. Would the dietary transition at the beginning of the Neolithic period correspond to a diet stress?

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Section: Introductionmentioning

confidence: 99%

The Consumption of Bone Powder in the Early Neolithic Societies of Southeastern Europe: Evidence of a Diet Stress?

Vieugué¹,

Salanova²,

Regert³

et al. 2015

CAJ

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show abstract

“…However, when comparing models that are similar and/or when the sample size is small, the researcher risks incorrectly identifying a difference where one does not exist (a "Type I error") or failing to detect a difference where one does (a "Type II error"). Furthermore, the subjective na-ture of visual inspection can lead to divergent interpretations of the same data (Brochier 2013(Brochier :1417(Brochier -1418Marom andBar-Oz 2009:1185).…”

Section: Visual Examinationmentioning

confidence: 99%

Confidence Intervals in the Analysis of Mortality and Survivorship Curves in Zooarchaeology

2016

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The analysis of age-at-death data, derived from epiphyseal fusion and dental eruption/wear patterns, is one of the most powerful tools at the disposal of zooarchaeologists studying past hunting and herd management practices. Zooarchaeologists typically analyze age-at-death data by constructing survivorship and mortality curves in order to allow insight into a variety of ecological and economic relationships between humans and animals. Since adopting such practices in the middle of the twentieth century, zooarchaeologists have proposed several methods for analyzing these curves, including visual examination and hypothesis testing. Creating confidence intervals is complementary to these two methods, allowing practitioners to graphically represent survivorship and mortality while testing hypotheses and accounting for sample sizes, which are often small in zooarchaeological assemblages. We discuss the basic concepts behind the nature of age-at-death data and the analysis of mortality and survivorship curves. We then describe how to calculate confidence intervals using bootstrapping techniques for both dental eruption/wear data and epiphyseal fusion data. To enable future users to replicate our methods, we introduce the freely available online R package “zooaRch” (http://cran.r-project.org/web/packages/zooaRch/ ), which includes a vignette to guide first-time users.

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“…6 illustrates how each of these approaches result in a distinct distribution based on the goal of the management strategy utilized. Zooarchaeologists use age-at-death and sex distributions or mortality profiles such as these to monitor relationships between ancient peoples and animals (Hesse 1978;Marom and Bar-Oz 2009;Payne 1973;Rossel et al 2008;Steele 2003;Stiner 1991;Zeder 2005;Zeder and Hesse 2000). Theoretically, modern interactions between people and WTD can inform these interpretations of the past.…”

Section: Insights Into Prehistorymentioning

confidence: 99%

White-tailed Deer Management Strategies and Domestication Processes

Messner

2011

Hum Ecol

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Today, people in the U.S. commonly engage in mutual relationships with white-tailed deer (WTD) in manners consistent with those that ultimately resulted in the domestication of animals in the past. Using a wide range of media depicting perspectives of sport hunters, biologists, ecologists, and game managers this paper explores: 1) the influence of anthropogenic environments on WTD behavior, 2) 'game' management and the ability to create valued demographics, and 3) the selection for increased antler size in farmed WTD. This study demonstrates that in order to gain a more accurate understanding of domestication, analyses should focus on the evolution of mutualisms between people and animals. Insights gleamed from this analysis also contribute toward our archaeological understanding of prehistoric animal domestication.

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Culling profiles: the indeterminacy of archaeozoological data to survivorship curve modelling of sheep and goat herd maintenance strategies

Cited by 43 publications

References 16 publications

The Consumption of Bone Powder in the Early Neolithic Societies of Southeastern Europe: Evidence of a Diet Stress?

The Consumption of Bone Powder in the Early Neolithic Societies of Southeastern Europe: Evidence of a Diet Stress?

Confidence Intervals in the Analysis of Mortality and Survivorship Curves in Zooarchaeology

White-tailed Deer Management Strategies and Domestication Processes

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