Suppr超能文献

咖啡农业食品系统的历史轨迹:墨西哥瓦哈卡州的案例研究。

The historical trajectory of a coffee agri-food system: A case study in Oaxaca, Mexico.

机构信息

Postgraduate of Sustainability Sciences, National Autonomous University of Mexico (UNAM), Oriente 163 Número 234, Col. Campestre Aragón, Alcaldía Gustavo A. Madero, C.P. 07530, Mexico City, México.

Economics Research Institute and National Coastal Resilience Laboratory, National Autonomous University of Mexico (UNAM), Circuito Mario de la Cueva, Ciudad de la Investigación en Humanidades, Ciudad Universitaria, C.P. 04510, Mexico City, México.

出版信息

Ambio. 2024 Dec;53(12):1847-1863. doi: 10.1007/s13280-023-01893-6. Epub 2023 Jul 25.

Abstract

Agri-food social-ecological systems (AFSES) embrace complex interactions and processes of food production, processing, and commercialization that are subject to constant changes. This study develops a heuristic approach using the adaptive cycle (AC) and a transformation potential measure to identify the historical trajectory of a coffee AFSES at a watershed scale in Copalita, Mexico, over 40 years from 1980 to 2020. Primary information was collected through semistructured interviews. The results show that the system interactions depend on economic, social, and environmental stressors and shocks affecting different temporal and spatial scales. The cumulative effects of driving forces and adaptive strategies have influenced the system to not complete the AC phases. Additionally, the results show that some adaptive strategies can become new stressors with time. Driving forces, adaptive strategies, tipping points, trade-offs and interactions within the AFSES could be identified as the main aspects defining system resilience.

摘要

农业食品社会-生态系统(AFSES)包含了复杂的食物生产、加工和商业化的相互作用和过程,这些过程都受到不断变化的影响。本研究采用自适应循环(AC)和变革潜力衡量方法,开发了一种启发式方法,以识别 1980 年至 2020 年 40 多年来墨西哥科帕利塔流域尺度上咖啡 AFSES 的历史轨迹。主要信息通过半结构化访谈收集。结果表明,系统相互作用取决于影响不同时间和空间尺度的经济、社会和环境压力源和冲击。驱动力和适应策略的累积效应影响了系统无法完成 AC 阶段。此外,结果表明,一些适应策略随着时间的推移可能成为新的压力源。驱动因素、适应策略、临界点、权衡和 AFSES 内的相互作用可以被确定为定义系统弹性的主要方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2100/11568096/c1207a87303a/13280_2023_1893_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