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

doi:10.1016/S2095-3119(15)61253-9

Journal of Integrative Agriculture ›› 2016, Vol. 15 ›› Issue (7): 1638-1644.DOI: 10.1016/S2095-3119(15)61253-9

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

收稿日期:2015-06-15 出版日期:2016-07-06 发布日期:2016-07-06

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

SUN Cheng-ming^1*, ZHONG Xiao-chun^2*, CHEN Chen¹, GU Ting¹, CHEN Wen¹

¹ Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, P.R.China
² Institute of Agriculture Information, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China

Received:2015-06-15 Online:2016-07-06 Published:2016-07-06
Contact: SUN Cheng-ming, Tel: +86-514-87979381, E-mail: cmsun@yzu.edu.cn
Supported by:
This work was mainly funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD), and the Science and Technology Innovation Project Fund of Chinese Academy of Agricultural Sciences (2015).

摘要/Abstract

Abstract: 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. All these results reached a very significant level (P<0.01). There was a good correlation between the simulated and the measured NPP, with R² of 0.8027, reaching the very significant 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. Additionally, 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.

Key words: grassland NPP , estimation model , annual precipitation , mean annual temperature , southern China

SUN Cheng-ming, ZHONG Xiao-chun, CHEN Chen, GU Ting, CHEN Wen. Evaluating the grassland net primary productivity of southern China from 2000 to 2011 using a new climate productivity model[J]. Journal of Integrative Agriculture, 2016, 15(7): 1638-1644.

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

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

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