VIEW FROM THE HERD

In this book, the late Richard Redding synthesizes his decades-long work on the ancient agricultural economy of Egypt. Drawing on a diverse range of data, including zooarchaeology, ancient texts, and iconographic sources, he explores the role of cattle, sheep, goats, and pigs in the economic infrastructure of ancient, mainly Pharaonic, Egypt and the complexities of decision-making processes that shaped the use and management of these vital livestock resources. The book integrates zooarchaeological and historical data with information on unimproved breeds of cattle, sheep, goats, and pigs from Egypt and the broader Middle East as well as considers texts and tomb paintings. Redding argues that understanding the interplay between economic forces, environmental factors, and herders' knowledge of animal characteristics is crucial for unraveling the dynamic nature of decision-making. The author explores herd growth rates, meat yields, caloric and nutritional benefits, and optimal herd structures. By employing that data and ecological models, including the annual Nile floods, he provides insights into the adaptive strategies employed by ancient Egyptian herders. In this way, Redding examines the economic rationale behind ancient Egyptian herding communities. His models of Pharaonic herding strategies generate expectations tested using zooarchaeological evidence. Redding long advocated the modeling approach he demonstrates here, understanding zooarchaeological data through a lens of animal biology and environmental context. This work should therefore spark wide interest among archaeologists working in disparate regions.

Richard Redding was a research scientist at the Kelsey Museum of Archaeology, University of Michigan. He directed the Kom el-Hisn project with Robert Wenke in 1984, 1986, and 1988. Following this, he joined the AERA team at Heit el-Ghurab, a settlement at Giza. He is co-author (with Robert Wenke and Anthony Cagle) of Kom El-Hisn (ca. 2500-1900 BC): An Ancient Settlement in the Nile Delta (Lockwood, 2016).