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Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)

Author

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  • Mohadeseh Ghanbari Motlagh

    (Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Sasan Babaie Kafaky

    (Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Asadollah Mataji

    (Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Reza Akhavan

    (Research Institute of Forests and Ranglands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran)

Abstract

The forest ecosystems of northern Iran in the Alborz Mountains with a wide distribution range have variations in the composition and types of the plants, soil, structure, carbon stocks and climatic conditions. This study investigated the use of a satellite database and climatic parameters in estimating the carbon reserves. Three regions were selected for the distribution range of these forests. The data of 4 climatic parameters (MAP, MHR, MAE and MAT) were modelled based on the relationship with an elevation gradient. 5 spectral vegetation indices (RVI, NDVI, SR, NDGI, DVI and TVI) and near-infrared band (NIR) extracted from the satellite data and the aboveground carbon data of these forests were modelled based on a regression analysis. Finally, the best model of the relationship between the climate variables and the carbon stocks and the satellite indices was obtained from the multivariate linear regression equation and the R2 coefficient. Accordingly, the most influential climatic parameters on the carbon stocks of these forests were precipitation, temperature, and also the most significant indices were NDVI, RVI and NIR band. This research is an attempt to model the calculations of the aboveground carbon in the forests of northern Iran in relation to the climatic parameters using satellite imagery.

Suggested Citation

  • Mohadeseh Ghanbari Motlagh & Sasan Babaie Kafaky & Asadollah Mataji & Reza Akhavan, 2019. "Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(12), pages 493-503.
    • Handle: RePEc:caa:jnljfs:v:65:y:2019:i:12:id:107-2019-jfs
    DOI: 10.17221/107/2019-JFS
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    References listed on IDEAS

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    1. Khosrow MIRAKHORLOU & Reza AKHAVAN, 2017. "Forest density and orchard classification in Hyrcanian forests of Iran using Landsat 8 data," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(8), pages 355-362.
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    Cited by:

    1. Mohadeseh Ghanbari Motlagh & Sasan Babaie Kafaky & Asadollah Mataji & Reza Akhavan & Behzad Amraei, 2020. "An introduction to the distribution of carbon stocks in temperate broadleaf forests of northern Iran," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(2), pages 70-79.

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