Arid
DOI10.1007/s40333-019-0060-3
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, Fatemeh1; Jafari, Reza1; Bashari, Hossein1; Tartesh, Mostafa1; Clarke, Kenneth D.2
通讯作者Jafari, Reza
来源期刊JOURNAL OF ARID LAND
ISSN1674-6767
EISSN2194-7783
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/(m2 center dot 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 (R-2=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
国家Iran ; Australia
开放获取类型Bronze
收录类别SCI-E
WOS记录号WOS:000484954700001
WOS关键词LIGHT-USE EFFICIENCY ; TERRESTRIAL ECOSYSTEMS ; RAINFALL VARIABILITY ; LAND-USE ; VEGETATION ; CARBON ; CLIMATE ; MODIS ; NPP ; DROUGHT
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/216798
作者单位1.Isfahan Univ Technol, Dept Nat Resources, Esfahan 8415683111, Iran;
2.Univ Adelaide, Sch Biol Sci, Adelaide, SA 5005, Australia
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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.
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