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评估生态系统中假污泥风险的气候驱动因素:计划有效管理试验的指南

Kumar Sathiyaseelan¹, Bappa Das², Duraisamy Ladhalakshmi³

¹ICAR- Indian Agricultural Research Institute, New Delhi, India.

|March 3, 2025

概括

大米假污泥 (RFS) 显著降低了作物产量. 在最潮湿的月份降雨,最温暖的季度温度和降雨季节性是RFS分布的关键生物气候驱动因素,影响疾病管理策略.

科学领域:

农业科学农业科学
植物病理学植物病理学
生态生态学生态生态学

背景情况:

米虚假污垢 (RFS) 通过直接影响谷物,导致大米农业生态系统的大量产量损失.
了解影响RFS分布的生态因素对于有效的疾病管理至关重要.

研究的目的:

确定与大米的地理空间分布相关的关键生物气候变量.
评估温度和降水对RFS发生和发展的影响.

主要方法:

使用最大的原理,基于生物气候变量来建模RFS的分布.
分析了从月度温度和降水数据中得出的生态变量.

主要成果:

最潮湿月份的降雨量 (47.81%),最温暖季度的平均温度 (26.63%) 和降雨季节性 (12.43%) 是RFS分布的最强的预测因素.
在启动阶段,有利的温度 (>20°C) 和每日降雨量 (>5mm) 显著影响RFS发生率.
疾病分布模式与最潮湿的月份 (六月至九月) 的降雨相关.

结论:

季节性降水及其变化是RFS的关键限制因素.
温度对病原体的生长,感染和疾病的传播起着至关重要的作用.
在特定的作物生长阶段,降雨引起的单环感染过程为管理策略的评估提供了信息,包括杀菌剂的应用.

关键词:

气候变量气候变量气候变量流行病的特征是流行病的特征.虚假的污秽虚假的污秽地理空间分布的分布机器学习- 马克森特模型大米大米大米大米大米

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