Farmers’ local ecological knowledge of trees in coffee agroforestry systems in Nicaragua and Guatemala

This dataset was moved to: https://doi.org/10.34725/DVN/EX9JVTFarmer's local knowledge on trees: coffee agroforestry systems in two Central American sites. A dissertation submitted in partial fulfillment of the requirements for the degree of Masters in Sustainable Tropical Forestry, Bangor University. Two coffee growing regions in Nicaragua and Guatemala were explored through the use of local knowledge. Over 90 coffee farmers from each site were interviewed, their knowledge collected trough the use of the Agroecological Knowledge Toolkit (AKT5), and a ranking exercise comparing trees for selected attributes was performed. Knowledge recorded on more than 43 trees and ranking of 32 species (for growth rate, leaf texture, root abundance, root texture, pruning tolerance, canopy density, leaf litter production and fuel quality (burn length)), provided valuable insight into the characteristics and roles of trees in the coffee field. Files include tabular data for species lists, ranking data and sample details. Moreover Local knowledge base for each country can be explored in AKT. To download AKT see: http://akt.bangor.ac.uk/本数据集已迁移至：https://doi.org/10.34725/DVN/EX9JV。本数据集的研究主题为「农户树木本土知识：中美洲两地的咖啡农林业系统」，其源自一篇为部分满足班戈大学（Bangor University）可持续热带林业硕士学位授予要求而提交的学位论文。研究通过本土知识调研方法，对尼加拉瓜与危地马拉的两处咖啡种植产区展开了调研。每个调研点共访谈了90余名咖啡农户，通过农业生态知识工具包（Agroecological Knowledge Toolkit, AKT5）收集其相关知识，并开展了针对选定属性的树木对比排序调研。研究记录了43余种树木的相关知识，并针对32个树种的多项属性完成了排序，涵盖生长速率、叶片质地、根系丰度、根系结构、耐修剪性、冠层密度、枯落物产量以及燃料品质（燃烧时长），为揭示咖啡种植园中树木的特征与功能提供了宝贵的见解。数据集文件包含物种名录、排序数据与样本详情的表格化数据。此外，用户可通过AKT工具探索两国的本土知识库。如需下载AKT工具，请访问：http://akt.bangor.ac.uk/