Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data-A Case Study in Zoige Plateau, China

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data-A Case Study in Zoige Plateau, China
	Wang, Jiyan1,2 ; Li, Ainong1 ; Bian, Jinhu1,2
刊名	REMOTE SENSING
	2016-03-01
卷号	8 期号:3 页码:168
关键词	Zoige Plateau DNDC model NPP NDVI grazing
ISSN号	2072-4292
通讯作者	Ainong Li
英文摘要	Measuring the impact of livestock grazing on grassland above-ground net primary production (ANPP) is essential for grass yield estimation and pasture management. However, since there is a lack of accurate and repeatable techniques to obtain the details of grazing locations and stocking rates at the regional scale, it is an extremely challenging task to study the influence of regional grazing on the grassland ANPP. Taking Zoige County as a case, this paper proposes an approach to quantify the spatial and temporal variation of grazing intensity and grazing period through time-series remote sensing data, simulated grassland ANPP through the denitrification and decomposition (DNDC) model, and then explores the impact of grazing on grassland ANPP. The result showed that the model-estimated ANPP while considering grazing had a significant relationship with the field-observed ANPP, with the coefficient of determination (R-2) of 0.75, root mean square error (RMSE) of 122.86 kgC/ha, and average relative error (RE) of 8.77%. On the contrary, if grazing activity was not considered in simulation, a large uncertainty was found when the model-estimated ANPP was compared with the field observation, showing R-2 of 0.4, RMSE of 211.51 kgC/ha, and average RE of 32.5%. For the whole area of Zoige County in 2012, the statistics of the estimation showed that the total regional ANPP was up to 3.815 x 10(5) tC, while the total regional ANPP, without considering grazing, would be overestimated by 44.4%, up to 5.51 x 10(5) tC. This indicates that the grazing parameters derived in this study could effectively improve the accuracy of ANPP simulation results. Therefore, it is feasible to combine time-series remote sensing data with the process model to simulate the grazing effects on grassland ANPP. However, some issues, such as selecting proper remote sensing data, improving the quality of model input parameters, collecting more field data, and exploring the data assimilation approaches, still should be considered in the future work.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Remote Sensing
研究领域[WOS]	Remote Sensing
关键词[WOS]	INNER-MONGOLIA ; SENSITIVITY-ANALYSIS ; ALPINE GRASSLANDS ; ECOSYSTEM MODEL ; NORTHERN CHINA ; TYPICAL STEPPE ; SATELLITE DATA ; CLIMATE-CHANGE ; STOCKING RATE ; CARBON STOCK
收录类别	SCI
语种	英语
WOS记录号	WOS:000373627400023
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/17237]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jiyan,Li, Ainong,Bian, Jinhu. Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data-A Case Study in Zoige Plateau, China[J]. REMOTE SENSING,2016,8(3):168.
APA	Wang, Jiyan,Li, Ainong,&Bian, Jinhu.(2016).Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data-A Case Study in Zoige Plateau, China.REMOTE SENSING,8(3),168.
MLA	Wang, Jiyan,et al."Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data-A Case Study in Zoige Plateau, China".REMOTE SENSING 8.3(2016):168.