Temperature Prediction from Wood and Leaf Physiognomy

从木材和叶子的面貌预测温度

• 批准号: 9905668
• 负责人: David Dilcher
• 金额: $ 16.04万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-15 至 2003-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9905668&HistoricalAwards=false
• 关键词: Temperature; Prediction; Wood; Leaf; Physiognomy

9905668Models of the relationship between plant structural characteristics and climate need to be thoroughly tested to determine their validity and precision. The proposed work entails the collection of leaves and associated wood from native angiosperms in forested areas whose climate parameters are known. The physiognomy of the leaves and wood will be used, in conjunction with existing climate models, to estimate temperature; these estimates will be compared with actual site temperature to determine the accuracy of the models and to refine their precision.

9905668植物结构特征和气候之间的关系模型需要彻底测试，以确定其有效性和精度。拟议的工作需要从已知气候参数的森林地区的原生被子植物中收集叶子和相关木材。 树叶和树木的地貌将与现有的气候模型一起用于估计温度;这些估计值将与实际现场温度进行比较，以确定模型的准确性并提高其精度。