国土资源遥感Issue(1)：133-139,7.DOI:10.6046/gtzyyg.2015.01.21
基于CASA模型的北京植被NPP时空格局及其因子解释
NPP spatial and temporal pattern of vegetation in Beijing and its factor explanation based on CASA model
摘要
Abstract
Integrating remote sensing data, meteorological data and other multi - source auxiliary data, the vegetation net primary productivity ( NPP ) spatial and temporal pattern in Beijing and its main influence factors were analyzed based on carnegie-ames-stanford approach( CASA) model in 2010. The results showed that: ①The total amount of NPP was 5. 5 TgC, and the vegetation NPP spatial distribution pattern showed that the NPP in northern and western mountainous areas was higher, while the NPP in plain area was lower. ② The seasonal vegetation NPP in Beijing changed significantly. The NPP in summer was the largest, accounting for 62% of the NPP in the whole year. The smallest was in winter, accounted for only 3%, and the NPP in spring and autumn respectively accounted for 18% and 17% of the total NPP. ③ The vegetation NPP was limited by water and heat conditions. However, the main limiting factor was different in different areas. The natural vegetation in the northern and western mountainous areas was more affected by the temperature, while the crops in plain area were more easily affected by the precipitation. And the vegetation in the transition area from mountains to the plain was more affected by the solar radiation.关键词
净初级生产力(NPP)/CASA模型/遥感/北京Key words
net primary productivity(NPP)/carnegie-ames-stanford approach(CASA) model/remote sensing/Beijing分类
信息技术与安全科学引用本文复制引用
尹锴,田亦陈,袁超,张飞飞,苑全治,花利忠..基于CASA模型的北京植被NPP时空格局及其因子解释[J].国土资源遥感,2015,(1):133-139,7.基金项目
国家自然科学青年基金项目(编号:41101501)、国家自然科学面上基金项目(编号:41371540)和遥感科学国家重点实验室基金项目(编号:10QN-06)共同资助。 （编号:41101501）
