ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Antall identifiserte eksemplarer×Analyse av tannmikroslitasjemønstre×
FagfeltArkeologiArkeologi
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19711988
OpphavspersonR. E. ChaplinPeter Teaford
TypeFaunal quantification methodDietary inference method
Opprinnelig kildeChaplin, R. E. (1971). The Study of Animal Bones from Archaeological Sites. Seminar Press. link ↗Ungar, P. S. (2007). Evolution of the human diet: The known, the unknown, and the unknowable. Oxford University Press. link ↗
AliasNISP method, specimen countmicrowear analysis, dental wear analysis
Relaterte44
SammendragNumber of identified specimens (NISP) is a fundamental zooarchaeological method that quantifies the abundance of faunal remains by counting all identifiable bone fragments or specimens in an assemblage. Formalized by R. E. Chaplin and later refined by Donald Grayson and others, NISP is the most straightforward and widely used quantification metric in zooarchaeology. Despite its simplicity, NISP is sensitive to both cultural and taphonomic factors that affect preservation, fragmentation, and identification of bone assemblages.Dental microwear texture analysis (DMTA) is a method that reconstructs diet and dietary behavior from microscopic wear patterns on the surfaces of teeth. Pioneered by Mark Teaford in the 1980s, DMTA analyzes the three-dimensional texture of wear patterns produced as food is chewed. The method reflects short-term (last few months) dietary composition, complementing longer-term dietary information obtained from stable isotope analysis. DMTA has proven powerful for distinguishing diets rich in tough/fibrous foods from those dominated by hard/brittle foods.
ScholarGateDatasett
  1. v1
  2. 3 Kilder
  3. PUBLISHED
  1. v1
  2. 3 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Number of Identified Specimens · Dental Microwear Texture Analysis. Hentet 2026-06-20 fra https://scholargate.app/no/compare