论文题目:

Simulation of the Net Primary Productivity of the Wetland Plant Calamagrostis Angustifolia Based on Biome-Bgc Model

英文论文题目:

Simulation of the Net Primary Productivity of the Wetland Plant Calamagrostis Angustifolia Based on Biome-Bgc Model

第一作者:

刘夏

英文第一作者:

Liu, X.

联系作者:

王毅勇

英文联系作者:

Wang, Y. Y.

发表年度:

2015

卷:

24

期:

8

页码:

2452-2459

摘要:

Natural wetland vegetations are sensitive to climate change, and net primary productivity (NPP) of dominant plants is one of the important indexes to understand the feedback mechanisms to these global or regional change events. In this study, we attempted to utilize BIOME-BGC model to simulate NPP of Calamagrostis angustifolia in Fujin, in Sanjiang Plain of China. The Calamagrostis angustifolia is the dominant plant community (34.5%) in Sanjiang Plain, a typical wetland region. Field-based physiological data of Calamagrostis angustifolia and collected information are used to optimize the parameter of BIOME-BGC by a progressive optimization method. Our results showed that the optimization method significantly improved the simulation of wetland vegetation. In the correlation analysis between the simulated and measured values, the R-2 value increased from 0.68 to 0.87, while the standard error decreased from 449.8 g C m(-2) a(-1) to 164.0 g C m(-2) a(-1). The long-term temporal variations showed that NPP of Calamagrostis angustifolia slightly increased from 1963 to 2012. In addition, we found that precipitation was the dominant factor affecting NPP, with a significantly positive relationship (R2=0.59, P<0.05). These kinds of relationships indicate that the variation trend of the future climate might increase NPP of Calamagrostis angustifolia in the study region.ide areas in squares was very high.

英文摘要:

Natural wetland vegetations are sensitive to climate change, and net primary productivity (NPP) of dominant plants is one of the important indexes to understand the feedback mechanisms to these global or regional change events. In this study, we attempted to utilize BIOME-BGC model to simulate NPP of Calamagrostis angustifolia in Fujin, in Sanjiang Plain of China. The Calamagrostis angustifolia is the dominant plant community (34.5%) in Sanjiang Plain, a typical wetland region. Field-based physiological data of Calamagrostis angustifolia and collected information are used to optimize the parameter of BIOME-BGC by a progressive optimization method. Our results showed that the optimization method significantly improved the simulation of wetland vegetation. In the correlation analysis between the simulated and measured values, the R-2 value increased from 0.68 to 0.87, while the standard error decreased from 449.8 g C m(-2) a(-1) to 164.0 g C m(-2) a(-1). The long-term temporal variations showed that NPP of Calamagrostis angustifolia slightly increased from 1963 to 2012. In addition, we found that precipitation was the dominant factor affecting NPP, with a significantly positive relationship (R2=0.59, P<0.05). These kinds of relationships indicate that the variation trend of the future climate might increase NPP of Calamagrostis angustifolia in the study region.

刊物名称:

Fresenius Environmental Bulletin

英文刊物名称:

Fresenius Environmental Bulletin

英文参与作者:

Wang, Y. Y., Zhou, Q. Q.