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CR prepress abstract   -  DOI: https://doi.org/10.3354/cr01643

Investigating net primary production in climate regions of central Zagros, Iran, using MODIS and meteorological data

Leila Yaghmaei, Reza Jafari*, Saeid Soltani

*Corresponding author:

ABSTRACT: Rangeland production is significantly sensitive to climate conditions. This study aimed to monitor the actual and potential productions of climate zones in Chaharmahal and Bakhtiari province of central Zagros in Iran from 2000 to 2016. Net primary production (NPP), light use efficiency (LUE) and rain use efficiency (RUE) were extracted from climatic and MODIS satellite data using the carnegie-ames-stanford approach (CASA) and Miami models. The accuracy of the modeled NPP maps was assessed based on field data collected at 750 sites under different rangeland conditions using regression analysis. The spatial distribution of NPP and RUE indicated that annual production and photosynthetic efficiency in degraded ragelands with poor and very poor conditions have decreased compared to those of moderate-good classes. The highest relationship between the field and modeled NPP was associated with the Astragalus spp.- Ferula spp. (R2 = 0.865, p<0.001) in humid and cold climate with good rangeland condition while the lowest one was observed in Annual grasses- Annual forbs (R2 = 0.198, p<0.001) vegetation type with very poor rangeland condition within semi-arid and cold climate. Furthermore, the highest and lowest NPP values were observed in Daphne mucronata- Prangos ferulacea (48.38 gC/m2y-1) and Annual grasses- Annual forbs (3.42 gC/m2y-1) vegetation types with LUE values of 0.13 and 0.02 gC (MJ)-1 within the humid and cold and the semi-humid and cold climates, respectively. According to the findings, remote sensing-based differences between actual and potential NPP can be used as a valuable tool for identification of human impacts on broad rangeland ecosystems.