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Global climate warming closely related to the changes of air temperature is one of the significant problems that humans have been
facing. As one of the most important terrestrial ecosystem components, vegetation growth has received increasing interest in
the light of global warming. Understanding how vegetation growth responded to rising temperature in recent decades is vital for
sustainable of ecosystem development. Net primary productivity (NPP) is a key ecological indicator of terrestrial vegetation growth.
With increasing temperature, it is important to characterize the spatio-temporal variation in NPP driven by change of vegetation
growing season in the ecosystem. China is zoned into six temperature regions according to the accumulated temperature, given
that its various regions receive different levels of solar radiation. The primary purpose of this study is to investigate how changes in
temperature have influence NPP of vegetation over different temperature zones of China during the period of 2001-2010. In this
study, CASA model was used to estimate NPP. The arithmetic mean, coefficient of variation and linear trend were used to describe
the spatio-temporal distribution of temperature and NPP. The results showed that there is significant difference of annual variation
in average temperature and seasonal variations of average temperature between various temperature zones. The average annual NPP
increased in all the temperature zones with increasing temperature from 2000 to 2010. The NPP seasonal increase trends in the
subtropical region are nearly the same as that in the tropical regions. While the increase trends in the warm temperate zone, middle
latitude temperate zone, and plateau regions are similar. Global warming increases the NPP in spring as reflected in the tropical and
subtropical zones at an early stage.
Biography
Shaoying Li has completed her PhD and graduation from Sun Yat-sen University in China. She began to work in Guangzhou University three years ago. Currently, her focus is on Remote Sensing and Geographical Information System area and had published more than 20 papers.