Testing a mechanistic general model of global ecosystems: improving prediction by increasing simplicity?

测试全球生态系统的机械通用模型：通过增加简单性来改进预测？

• 批准号: 1909172
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1909172
• 关键词: Testing; mechanistic; general; model; global

The Madingley Model was developed as the first general ecosystem model, (GEM), which has a mechanistic basis and is able to be applied to both terrestrial and marine environments. It utilises small-scale events, (e.g. deaths), to make predictions for patterns at the ecosystem scale. Several of the predictions made by the Madingley Model are observed in empirical data, whilst other predictions raise interesting questions regarding ecological processes.

Madingley模型是作为第一个通用生态系统模型（GEM）开发的，它具有机械基础，能够应用于陆地和海洋环境。它利用小规模事件（例如死亡）来预测生态系统规模的模式。马丁利模型的一些预测在经验数据中得到了观察，而其他预测则提出了关于生态过程的有趣问题。