Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China

Grassland ecosystems play important roles in the global carbon cycle. The net primary productivity (NPP) of grassland ecosystems has become the hot spot of terrestrial ecosystems. To simulate grassland NPP in southern China, a new model using productivity coupled with hydrothermal factors (PCH) was...

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Main Authors: Z.-G. Sun, J. Liu, H.-Y. Tang
Format: Article
Language:English
Published: Copernicus Publications 2017-04-01
Series:Solid Earth
Online Access:http://www.solid-earth.net/8/545/2017/se-8-545-2017.pdf
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spelling doaj-0450c493c56041669f6257c865fff89d2020-11-24T21:22:37ZengCopernicus PublicationsSolid Earth1869-95101869-95292017-04-018254555210.5194/se-8-545-2017Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern ChinaZ.-G. Sun0J. Liu1H.-Y. Tang2College of Agro-grassland Science, Nanjing Agricultural University, 1 Weigang, Nanjing, Jiangsu 210095, People's Republic of ChinaDepartment of Environmental Science, Hokkaido University, Sapporo 060-0810, JapanCollege of Agro-grassland Science, Nanjing Agricultural University, 1 Weigang, Nanjing, Jiangsu 210095, People's Republic of ChinaGrassland ecosystems play important roles in the global carbon cycle. The net primary productivity (NPP) of grassland ecosystems has become the hot spot of terrestrial ecosystems. To simulate grassland NPP in southern China, a new model using productivity coupled with hydrothermal factors (PCH) was built and validated based on data recorded from 2003 to 2014. The results show a logarithmic correlation between grassland NPP and mean annual temperature and a linear positive correlation between grassland NPP and mean annual precipitation in southern China, both highly significant relationships. There was a highly significant correlation between simulated and measured NPP (<i>R</i><sup>2</sup> = 0. 8027). Both RMSE and relative root mean square error (RRMSE) were relatively low, 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 south to north. Mean NPP was 471.62 g C m<sup>−2</sup> from 2003 to 2014. Additionally, the mean annual NPP of southern grassland presented a rising trend, increasing 3.49 g C m<sup>−2</sup> yr<sup>−1</sup> during the past 12 years. These results document performance and use of a new method to estimate the grassland NPP in southern China.http://www.solid-earth.net/8/545/2017/se-8-545-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Z.-G. Sun
J. Liu
H.-Y. Tang
spellingShingle Z.-G. Sun
J. Liu
H.-Y. Tang
Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
Solid Earth
author_facet Z.-G. Sun
J. Liu
H.-Y. Tang
author_sort Z.-G. Sun
title Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
title_short Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
title_full Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
title_fullStr Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
title_full_unstemmed Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China
title_sort application of a new model using productivity coupled with hydrothermal factors (pch) for evaluating net primary productivity of grassland in southern china
publisher Copernicus Publications
series Solid Earth
issn 1869-9510
1869-9529
publishDate 2017-04-01
description Grassland ecosystems play important roles in the global carbon cycle. The net primary productivity (NPP) of grassland ecosystems has become the hot spot of terrestrial ecosystems. To simulate grassland NPP in southern China, a new model using productivity coupled with hydrothermal factors (PCH) was built and validated based on data recorded from 2003 to 2014. The results show a logarithmic correlation between grassland NPP and mean annual temperature and a linear positive correlation between grassland NPP and mean annual precipitation in southern China, both highly significant relationships. There was a highly significant correlation between simulated and measured NPP (<i>R</i><sup>2</sup> = 0. 8027). Both RMSE and relative root mean square error (RRMSE) were relatively low, 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 south to north. Mean NPP was 471.62 g C m<sup>−2</sup> from 2003 to 2014. Additionally, the mean annual NPP of southern grassland presented a rising trend, increasing 3.49 g C m<sup>−2</sup> yr<sup>−1</sup> during the past 12 years. These results document performance and use of a new method to estimate the grassland NPP in southern China.
url http://www.solid-earth.net/8/545/2017/se-8-545-2017.pdf
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