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我国林业经济在国民经济发展中有着重要的地位,森林与气候之间也有着密切的关系。通过历史数据基于Copula函数模型验证林业经济发展与气温、降水量、湿度与日照数等气候因素之间的相关关系,林业生产总值与气温正相关,与湿度、日照数负相关。当我们认识到林业经济总产值与气温、降水量、湿度、日照数之间的相依关系和相依结构,就可以采取相应的措施。这将会对制定宏观经济发展规划与森林资源开发战略,具有一定的指导与实践意义。
China’s forestry economy plays an important role in the development of the national economy. There is also a close relationship between forests and climate. Based on the historical data, Copula function model was used to verify the correlation between forestry economic development and climatic factors such as temperature, precipitation, humidity and sunshine duration. The gross value of forestry was positively correlated with temperature and negatively correlated with humidity and sunshine duration. When we recognize the relationship between the total output value of forestry and the temperature, precipitation, humidity, sunshine number and the dependent structure, we can take corresponding measures. This will have some guidance and practical significance for formulating the macroeconomic development plan and the strategy for forest resources development.