Dados Bibliográficos

AUTOR(ES) R. Gordon , R. Thomas , William Johnson , Naomi Sykes , Mary Holmes , A. K. Outram , M. Maltby , Carly Ameen , Helene Benkert , Tamsyn Fraser , Malene Lauritsen , Karina Rapp , Tess Townend , Gary Paul Baker , Laura May Jones , Camille Vo Van Qui , Robert Webley , Robert Liddiard , Oliver H. Creighton
AFILIAÇÃO(ÕES) Brereton Road Bedford UK, University of Leicester, Department of Archaeology University of Exeter Exeter UK, Department of Archaeology and Anthropology Bournemouth University Bournemouth UK, The University of Sheffield, School of History University of East Anglia Norwich UK
ANO Não informado
TIPO Artigo
DOI 10.1002/oa.3038
CITAÇÕES 3
ADICIONADO EM 2025-08-18

Resumo

Popular culture presents a deep‐rooted perception of medieval warhorses as massive and powerful mounts, but medieval textual and iconographic evidence remains highly debated. Furthermore, identifying warhorses in the zooarchaeological record is challenging due to both a paucity of horse remains relative to other domesticates, and the tendency of researchers to focus on osteological size, which makes it difficult to reconstruct in‐life usage of horses and activity related changes. This paper presents the largest zooarchaeological dataset of English horse bones (n = 1964) from 171 unique archaeological sites dating between AD 300 and 1650. Using this dataset alongside a modern comparative sample of known equids (n = 490), we examine trends in size and shape to explore how the skeletal conformation of horses changed through time and reflected their domestic, elite and military roles. In addition to evidencing the generally small stature of medieval horses relative to both earlier and later periods, we demonstrate the importance of accurately exploring the shape of skeletal elements to describe the morphological characteristics of domestic animals. Furthermore, we highlight the need to examine shape variation in the context of entheseal changes and biomechanics to address questions of functional morphology and detect possible markers of artificial selection on past horses.

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