干旱区生态环境知识资源中心(Arid): Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran

Arid

	Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran
	Hadian Fatemeh; Jafari Reza; Bashari Hossein; Tartesh Mostafa; Clarke Kenneth D
来源期刊	Journal of Arid Land
ISSN	1674-6767
出版年	2019
卷号	11 期号:4 页码:477-494
英文摘要	Net primary production (NPP) is an indicator of rangeland ecosystem function. This research assessed the potential of the Carnegie Ames Stanford Approach (CASA) model for estimating NPP and its spatial and temporal changes in semi-arid rangelands of Semirom County, Iran. Using CASA model, we estimated the NPP values based on monthly climate data and the normalized difference vegetation index (NDVI) obtained from the MODIS sensor. Regression analysis was then applied to compare the estimated production data with observed production data. The spatial and temporal changes in NPP and light utilization efficiency (LUE) were investigated in different rangeland vegetation types. The standardized precipitation index (SPI) was also calculated at different time scales and the correlation of SPI with NPP changes was determined. The results indicated that the estimated NPP values varied from 0.00 to 74.48 g C/(m~2·a). The observed and estimated NPP values had different correlations, depending on rangeland conditions and vegetation types. The highest and lowest correlations were respectively observed in Astragalus spp.-Agropyron spp. rangeland (R2=0.75) with good condition and Gundelia spp.-Cousinia spp. rangeland (R~2=0.36) with poor and very poor conditions. The maximum and minimum LUE values were found in Astragalus spp.-Agropyron spp. rangeland (0.117 g C/MJ) with good condition and annual grasses-annual forbs rangeland (0.010 g C/MJ), respectively. According to the correlations between SPI and NPP changes, the effects of drought periods on NPP depended on vegetation types and rangeland conditions. Annual plants had the highest drought sensitivity while shrubs exhibited the lowest drought sensitivity. The positive effects of wet periods on NPP were less evident in degraded areas where the destructive effects of drought were more prominent. Therefore, determining vegetation types and rangeland conditions is essential in NPP estimation. The findings of this study confirmed the potential of the CASA for estimating rangeland production. Therefore, the model output maps can be used to evaluate, monitor and optimize rangeland management in semi-arid rangelands of Iran where MODIS NPP products are not available.
英文关键词	CASA NPP estimation light utilization efficiency vegetation type drought rangeland condition semi-arid rangelands
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:6569765
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336169
作者单位	Hadian Fatemeh, Department of Natural Resources, Isfahan University of Technology, Isfahan, 8415683111, Iran.; Jafari Reza, Department of Natural Resources, Isfahan University of Technology, Isfahan, 8415683111, Iran.; Bashari Hossein, Department of Natural Resources, Isfahan University of Technology, Isfahan, 8415683111, Iran.; Tartesh Mostafa, Department of Natural Resources, Isfahan University of Technology, Isfahan, 8415683111, Iran.; Clarke Kenneth D, School of Biological Sciences, University of Adelaide, South Australia 5005, Australia.
推荐引用方式 GB/T 7714	Hadian Fatemeh,Jafari Reza,Bashari Hossein,et al. Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran[J],2019,11(4):477-494.
APA	Hadian Fatemeh,Jafari Reza,Bashari Hossein,Tartesh Mostafa,&Clarke Kenneth D.(2019).Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran.Journal of Arid Land,11(4),477-494.
MLA	Hadian Fatemeh,et al."Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran".Journal of Arid Land 11.4(2019):477-494.