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Journal of Arid Land  2019, Vol. 11 Issue (4): 477-494    DOI: 10.1007/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 SemiromCounty, Iran
HADIAN Fatemeh1, JAFARI Reza1,*(), BASHARI Hossein1, TARTESH Mostafa1, D CLARKE Kenneth2
1 Department of Natural Resources, Isfahan University of Technology, Isfahan 8415683111, Iran
2 School of Biological Sciences, University of Adelaide, South Australia 5005, Australia
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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?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.-Agropyronspp. rangeland (R2=0.75) with good condition and Gundeliaspp.-Cousiniaspp. rangeland (R2=0.36) with poor and very poor conditions. The maximum and minimum LUE values were found in Astragalus spp.-Agropyronspp. 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.

Key wordsCASA      NPP estimation      light utilization efficiency      vegetation type      drought      rangeland condition      semi-arid rangelands     
Received: 13 January 2018      Published: 10 August 2019
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The first and second authors contributed equally to this work.

Cite this article:

HADIAN Fatemeh, JAFARI Reza, BASHARI Hossein, TARTESH Mostafa, D CLARKE Kenneth. Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of SemiromCounty, Iran. Journal of Arid Land, 2019, 11(4): 477-494.

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