当前位置: X-MOL 学术J. Ethnobiol. Ethnomed. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Folk classification of wild mushrooms from San Isidro Buensuceso, Tlaxcala, Central Mexico.
Journal of Ethnobiology and Ethnomedicine ( IF 2.9 ) Pub Date : 2020-09-14 , DOI: 10.1186/s13002-020-00408-x
Roberto Carlos Reyes-López 1 , Adriana Montoya 2 , Alejandro Kong 2 , Ezequiel Alberto Cruz-Campuzano 3 , Javier Caballero-Nieto 4
Affiliation  

An ethnomycological study was conducted to describe the fungus concept and the traditional fungus classification system for the Nahuas of San Isidro Buensuceso, in central Mexico. The study which provides information on the co-existence of various forms of classification, based on both cultural and biological characteristics. The research included conducting community interviews and forest forays in the company of mushroom pickers. The triad technique, pile sorting, and fresh mushroom sampling methods were used. Traditional names were analyzed to describe the Nahua classification system for fungi. The triad technique with non-utilitarian stimuli allowed the fungi to be identified as an independent group of plants and animals. The Nahua people of San Isidro classify fungi primarily based on their use, where they grow, and by humoral characteristics. The analysis of the names revealed a classification based on the criteria proposed by Brent Berlin. This study identified the detailed knowledge of fungi in this Nahua community. The criteria used for the recognition of the species are very reliable, since they use organoleptic, ecological, phenological, and morphological characteristics.

中文翻译:

墨西哥中部Tlaxcala的San Isidro Buensuceso的野生蘑菇的民间分类。

进行了一项人类学研究,以描述墨西哥中部San Isidro Buensuceso纳瓦人的真菌概念和传统真菌分类系统。这项研究基于文化和生物学特征,提供了有关各种分类形式共存的信息。研究包括在蘑菇采摘公司的陪同下进行社区采访和森林探险。使用了黑社会技术,桩分类和新鲜蘑菇采样方法。分析了传统名称,以描述纳瓦氏真菌分类系统。具有非功利性刺激的三合会技术使真菌被鉴定为动植物的独立群体。圣伊西德罗的纳瓦族人主要根据真菌的使用,生长的地方和体液特征对真菌进行分类。对名字的分析揭示了根据布伦特·柏林提出的标准进行的分类。这项研究确定了该纳华社区真菌的详细知识。用于识别物种的标准非常可靠,因为它们具有感官,生态,物候和形态特征。
更新日期:2020-09-14
down
wechat
bug