title: Assessing the Spatiotemporal Variation and Impact Factors of Net Primary Productivity in China.
abstract: In this study, the net primary productivity (NPP) in China from 2001 to 2012 was estimated based on the Carnegie-Ames-Stanford Approach (CASA) model using Moderate Resolution Imaging Spectroradiometer (MODIS) and meteorological datasets, and the accuracy was verified by a ChinaFLUX dataset. It was found that the spatiotemporal variations in NPP present a downward trend with the increase of latitude and longitude. Moreover, the influence of climate change on the evolution of NPP shows that NPP has had different impact factors in different regions and periods over the 12 years. The eastern region has shown the largest increase in gross regional product (GRP) and a significant fluctuation in NPP over the 12 years. Meanwhile, NPP in the eastern and central regions is significantly positively correlated with annual solar radiation, while NPP in these two regions is significantly negatively correlated with the growth rate of GRP. It is concluded that both the development of the economy and climate change have influenced NPP evolution in China. In addition, NPP has shown a steadily rising trend over the 12 years as a result of the great importance attributed to ecological issues when developing the economy.
authors.affiliation: China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, 221116, China.
authors.forename: Xue
authors.initials: X
authors.lastname: Wang
authors.affiliation: China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, 221116, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Tan
authors.affiliation: China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, 221116, China.
authors.forename: Baozhang
authors.initials: B
authors.lastname: Chen
authors.affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, 210093, China.
authors.forename: Peijun
authors.initials: P
authors.lastname: Du