翻译和应用模拟模型以提高对草原管理的理解
Michail L Giannitsopoulos1, Paul J Burgess1, Matthew J Bell2
1School of Water, Energy and Environment Cranfield University Cranfield Bedfordshire UK.
Grass and forage science : the journal of the British Grassland Society
|March 22, 2024
概括
开发了一个新的草产模拟模型LINGRA-N-Plus,以帮助草地管理者了解气应用和收获日期如何影响草产量. 这种经过验证的工具有助于决策,并改善草地管理策略.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 环境科学 环境科学
背景情况:
- 草原管理需要了解应用,收获时间,天气和土壤条件之间的复杂相互作用.
- 优化草皮产量和质量对于可持续农业和有效的农场管理至关重要.
研究的目的:
- 为英格兰和威尔士开发和验证一个免费可用的草皮产量模拟模型 (LINGRA-N-Plus).
- 评估该模型作为改善草原管理实践的教学工具的有效性.
- 确定模型的优点和弱点,用于教育和实际应用.
主要方法:
- 在Microsoft Excel电子表格中实现LINGRA-N-Plus模型.
- 通过与英国各地的学生和从业人员 (农民,顾问,研究人员) 的研讨会,在两年内反复评估该模型.
- 结合用户反来完善算法,增强用户界面,并开发一个补充教学指南.
主要成果:
- 对于英格兰和威尔士,LINGRA-N-Plus模型得到了验证,并根据用户反进行了改进.
- 确定的主要优势包括易用性和可视化和评估管理决策对草皮产量的影响的能力.
- 用户界面的改进允许扩展模型范围而不影响理解.
结论:
- 一个有效的农业教学工具必须平衡细节和可理解性,展示关键关系而不压倒用户.
- 林格拉-N-Plus模型作为一个有价值的教育资源,特别是解释对草产量的影响.
- 实践人员发现,经过验证的模型对于在现实世界草原管理场景中增强决策有用.
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