Can a Use-based Taxonomy be Natural? An example from Aguaruna folk classification of trees
Author(s) -
Kevin Jernigan
Publication year - 2014
Publication title -
ethnobotany research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.192
H-Index - 25
ISSN - 1547-3465
DOI - 10.17348/era.12.0.685-703
Subject(s) - ethnobiology , taxon , ethnography , perspective (graphical) , tree (set theory) , taxonomy (biology) , field (mathematics) , geography , epistemology , artificial intelligence , ecology , computer science , biology , archaeology , mathematics , philosophy , mathematical analysis , pure mathematics
This work examines the classic utilitarian vs. intellectualist debate in cognitive ethnobiology from a new perspective. It challenges the notion that classifications based on utility are artificial, that is, necessarily constructed from a few special characteristics. The paper involves a new analysis of ethnographic data collected by the author over multiple field sessions from 2004 to 2010 in nine Aguaruna villages in Amazonas, Peru. In previous work, Aguaruna participants described uses, along with sensory and ecological characteristics of local tree species. They also stated which tree folk genera they consider related to each other as “companions,” typically placing taxa together in natural groupings. This new synthesis took the descriptions of uses and physical characteristics for a sample of 41 Aguaruna tree folk genera and subjected both to hierarchical cluster analysis to see which would better reproduce the folk classification. Use data performed nearly as well as sensory data in reproducing the natural groupings of trees. This makes sense considering that plant uses tend to be based on physical properties (including presence of secondary compounds) that related species will often share. Normal 0 false false false EN-US X-NONE X-NONE
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom