Suppr超能文献

民族农林业:墨西哥生物文化多样性与粮食主权的融合

Ethnoagroforestry: integration of biocultural diversity for food sovereignty in Mexico.

作者信息

Moreno-Calles Ana Isabel, Casas Alejandro, Rivero-Romero Alexis Daniela, Romero-Bautista Yessica Angélica, Rangel-Landa Selene, Fisher-Ortíz Roberto Alexander, Alvarado-Ramos Fernando, Vallejo-Ramos Mariana, Santos-Fita Dídac

机构信息

Escuela Nacional de Estudios Superiores Unidad Morelia (ENES), Universidad Nacional Autónoma de México. UNAM, Campus Morelia, Antigua Carretera a Pátzcuaro No. 8701, Col. Ex-Hacienda de San José de la Huerta, Morelia, 58190, Michoacán, México.

Instituto de Investigaciones en Ecosistemas y Sustentabilidad (IIES), Universidad Nacional Autónoma de México. UNAM, Campus Morelia, Antigua Carretera a Pátzcuaro No. 8701, Col. Ex-Hacienda de San José de la Huerta, Morelia, 58190, Michoacán, México.

出版信息

J Ethnobiol Ethnomed. 2016 Nov 23;12(1):54. doi: 10.1186/s13002-016-0127-6.

Abstract

BACKGROUND

Documenting the spectrum of ecosystem management, the roles of forestry and agricultural biodiversity, TEK, and human culture for food sovereignty, are all priority challenges for contemporary science and society. Ethnoagroforestry is a research approach that provides a theoretical framework integrating socio-ecological disciplines and TEK. We analyze in this study general types of Agroforestry Systems of México, in which peasants, small agriculturalist, and indigenous people are the main drivers of AFS and planning of landscape diversity use. We analyzed the actual and potential contribution of ethnoagroforestry for maintaining diversity of wild and domesticated plants and animals, ecosystems, and landscapes, hypothesizing that ethnoagroforestry management forms may be the basis for food sufficiency and sovereignty in Mexican communities, regions and the whole nation.

METHODS

We conducted research and systematization of information on Mexican AFS, traditional agriculture, and topics related to food sovereignty from August 2011 to May 2015. We constructed the database Ethnoagroforestry based on information from our own studies, other databases, Mexican and international specialized journals in agroforestry and ethnoecology, catalogues and libraries of universities and research centers, online information, and unpublished theses. We analyzed through descriptive statistical approaches information on agroforestry systems of México including 148 reports on use of plants and 44 reports on use of animals.

RESULTS

Maize, beans, squashes and chili peppers are staple Mesoamerican food and principal crops in ethnoagroforestry systems practiced by 21 cultural groups throughout Mexico (19 indigenous people) We recorded on average 121 ± 108 (SD) wild and domesticated plant species, 55 ± 27% (SD) of them being native species; 44 ± 23% of the plant species recorded provide food, some of them having also medicinal, firewood and fodder uses. A total of 684 animal species has been recorded (17 domestic and 667 wild species), mainly used as food (34%).

CONCLUSIONS

Ethnoagroforestry an emergent research approach aspiring to establish bases for integrate forestry and agricultural diversity, soil, water, and cultural richness. Its main premise is that ethnoagroforestry may provide the bases for food sovereignty and sustainable ecosystem management.

摘要

背景

记录生态系统管理的范围、林业和农业生物多样性的作用、传统生态知识(TEK)以及人类文化对粮食主权的作用,都是当代科学和社会面临的首要挑战。民族农林业是一种研究方法,它提供了一个整合社会生态学科和传统生态知识的理论框架。在本研究中,我们分析了墨西哥农林业系统的一般类型,其中农民、小农户和原住民是农林业系统及景观多样性利用规划的主要推动者。我们分析了民族农林业在维持野生和驯化动植物、生态系统及景观多样性方面的实际和潜在贡献,假设民族农林业管理形式可能是墨西哥社区、地区乃至整个国家粮食自给自足和主权的基础。

方法

2011年8月至2015年5月,我们对墨西哥的农林业系统、传统农业以及与粮食主权相关的主题进行了研究和信息整理。我们基于自身研究、其他数据库、墨西哥和国际农林业与民族生态学专业期刊、大学和研究中心的目录及图书馆、在线信息以及未发表的论文构建了民族农林业数据库。我们通过描述性统计方法分析了墨西哥农林业系统的信息,包括148份植物利用报告和44份动物利用报告。

结果

玉米、豆类、南瓜和辣椒是中美洲的主食,也是墨西哥21个文化群体(19个原住民群体)所采用的民族农林业系统中的主要作物。我们平均记录了121±108(标准差)种野生和驯化植物物种,其中55±27%(标准差)为本地物种;所记录的植物物种中有44±23%可提供食物,其中一些还具有药用、柴火和饲料用途。总共记录了684种动物物种(17种家养和667种野生),主要用作食物(34%)。

结论

民族农林业是一种新兴的研究方法,旨在为整合林业和农业多样性、土壤、水和文化丰富性奠定基础。其主要前提是民族农林业可为粮食主权和可持续生态系统管理提供基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6d1/5120568/839b3cc209b8/13002_2016_127_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验