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Evaluating the grassland net primary productivity of southern China from 2000 to 2011 using a new climate productivity model

引用

Journal of Integrative Agriculture 2016年第7期15卷 1638-1644页

作者： SUN Cheng-ming ZHONG Xiao-chun CHEN Chen GU Ting CHEN Wen Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops Yangzhou University Institute of Agriculture Information Chinese Academy of Agricultural Sciences

grassland is the important component of the terrestrial ecosystems. Estimating net primary productivity （npp） of grassland ecosystem has been a central focus in global climate change researches. To simulate the grassland npp in southern China, we built a new climate productivity model, and validated the model with the measured data from different years in the past. The results showed that there was a logarithmic correlation between the grassland npp and the mean annual temperature, and there was a linear positive correlation between the grassland npp and the annual precipitation in southern China. Al these results reached a very signiifcant level （P〈0.01）. There was a good correlation between the simulated and the measured npp, withR2 of 0.8027, reaching the very signiifcant level. Meanwhile, both root mean square errors （RMSE） and relative root-mean-square errors （RRMSE） stayed at a relatively low level, showing that the simulation results of the model were reliable. The npp values in the study area had a decreasing trend from east to west and from south to north, and the mean npp was 471.62 g C m？2 from 2000 to 2011. Additionaly, there was a rising trend year by year for the mean annual npp of southern grassland and the tilt rate of the mean annual npp was 3.49 g C m？2 yr？1 in recent 12 years. The above results provided a new method for grassland npp estimation in southern China.

关键词： grassland npp estimation model annual precipitation mean annual temperature southern China

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