通过基于气候信息网络的决策支持工具加强南亚小农农业社区的适应能力

Amitava Aich, D. Dey, Malancha Dey, Udita Ghosh Sarkar, Ajishnu Roy
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引用次数: 0

摘要

雨养农业系统中的边缘农民可以从气候环境中的实时应急计划和决策工具中受益匪浅。对部分地点进行了长期气候异常预测。本研究使用了来自耦合模式比对项目第5阶段项目(CMIP5)的42个全球环流模式(GCM),并使用代表性浓度路径(RCP) 4.5来准备未来的预测。气候异常对印度Purulia和孟加拉国Shyamnagar这两个选定的气候脆弱地区现有农业实践的影响进行了分析。为选定的地点设计了一个参与性行动研究和气候信息网(CIN)为基础的作物日历。一个交互式的安卓机器人在决策种植支持系统(DMCSS)的形式已经设计和现场测试。该系统可以为农民提供季节性作物建议和应急管理建议。该系统还根据防备情况和用户提供的关于作物、气候和设备的分类投入提供风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strengthening adaptive capacities of small holding South Asian agrarian community through Climate Information Network -based decision support tool
Marginal farmers in rain-fed agrarian systems can benefit immensely from real-time contingency planning and decisionmaking tools in the climate milieu. Long-term climate anomaly prediction of some selected locations was made. Forty-two Global Circulation Models (GCM) from the Coupled Model Intercomparison Project Phase 5 project (CMIP5) were used for the present work and Representative Concentration Pathway (RCP) 4.5 to prepare future projections. The effect of the climate anomaly on existing farming practices in two selected climate-vulnerable locations of Purulia, India, and Shyamnagar, Bangladesh, has been analysed. A participatory action research and Climate Information Network (CIN)-based crop calendar has been devised for the selected locations. An interactive Android bot in the form of a Decision-Making Cropping Support System (DMCSS) has been devised and field tested. This system can provide seasonal crop suggestions and suggest contingency management to farmers. The system also provides risk assessments on the basis of preparedness and categorical inputs that users provide on crop, climate and contrivances.
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