Replication Data for: The impact of climate change on coffee production in Central America

This data is a series of maps of Central American countries that specify the agro-ecological distribution suitable for coffee cultivation and show the impact gradient by indicating the change of the suitable agro-ecological zones, with the purpose of helping increase the private sector engagement in Climate Smart Agriculture in the region and provide the coffee sector with knowledge needed to facilitate the adoption of CSA practices. The maps were done through a random forest model in which precipitation and temperature were used as drivers and the model was trained through presences and pseudo-absences.

本数据集包含一系列中美洲国家的农业生态适生分布图，该类图谱明确划定了适宜咖啡种植的农业生态分布范围，并通过展示适宜农业生态区的变化体现影响梯度。本数据集的研发目标在于提升私营部门对该区域气候智能型农业（Climate Smart Agriculture，CSA）的参与程度，同时为咖啡产业提供所需知识，以推动气候智能型农业实践的推广应用。该分布图基于随机森林（Random Forest）模型生成，以降水与气温作为驱动因子，并通过存在点与伪缺失点完成模型训练。