Modeling of semi-steppe rangelands degradation in Isfahan Province using MODIS images

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Research/Original Article (دارای رتبه معتبر)
Abstract:

Plants are one of the most important components of the ecosystem which are affected by natural and human factors. Therefore, the study of net primary production (NPP) is one of the main subjects in ecology. The main purpose of this research was to model spatial and temporal distributions of NPP  and also to determine the degradation of vegetation types using Carnegie Ames Stanford Approach (CASA), Rain Use Efficiency  (RUE)  and  Light Use Efficiency (LUE) models in semi-steppe rangelands of Isfahan Province. For this purpose, the 16- day MODIS NDVI  images, metrological data, land cover maps and field study  were applied in the study area. The  results showed that the NPP rate increased from March (11.44gC/m2/mo) to May (41.07gC/m2/mo) while demonstrating a decreasing trend from the onset of June  (2.2 g C/m2/mo) due to soil dryness. Climate , vegetation type and rangeland conditions had important roles  in  annual plant NPP and therefore the highest and lowest NPP were observed in Astragalus- Daphnae (38.85 gC/m2 y-1) and Artemisia sieberi - Scariola  (4 g C/m2 y-1) vegetation types  with maximum (0.13 g C (MJ)-1) and minimum (0.005 g C (MJ)-1) LUE, respectively. The amount of RUE decreased in degraded rangelands. Moreover, the correlation between field measurements and the CASA model decreased in semiarid warm climate and degraded rangelands. Therefore, rangeland conditions, vegetation type and climate condition must be taken into consideration in NPP monitoring and rangelands management.

Language:
Persian
Published:
Iranian Journal of Remote Sencing & GIS, Volume:11 Issue: 3, 2020
Pages:
1 to 20
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