Estimation and analysis of net primary productivity by integrating MODIS remote sensing data with a light use efficiency model
Estimation and analysis of net primary productivity by integrating MODIS remote sensing data with a light use efficiency model
复制标题
MODIS遥感数据与光利用效率模型相结合估算和分析净初级生产力
DOI：
10.1016/j.ecolmodel.2012.11.026
复制
发表时间：
2013-03-10
影响因子：
3.1
通讯作者：
Qin, Yaochen
中科院分区：
文献类型：
--
作者：
Li, Jia;Cui, Yaoping;Qin, Yaochen
Estimates of regional net primary productivity (NPP) are very useful in modeling regional and global carbon cycles. This work proposed a new method to study NPP characteristics and changes in the Inner Mongolia Autonomous Region, China. To estimate NPP accurately, we integrated photosynthetically active radiation (PAR) with a light use efficiency model, derived from Moderate Resolution Imaging Spectroradiometer atmospheric and land products. Validation analyses showed that the PAR and NPP values simulated by the model matched observed data well. Annual NPP in the study area was about 0.25 PgC a(-1) from 2003 to 2008. In spatial distribution, NPP decreased from northeast to southwest in the Inner Mongolia Autonomous Region. NPP from May to September accounted for 84.2% of annual NPP, while that from July to August accounted for 44.3%. NPP was significantly correlated to both precipitation and temperature at monthly temporal scales. NPP also changed with the fraction of absorbed PAR. (C) 2012 Elsevier B.V. All rights reserved.
