Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)
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 estimat...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2019-12-01
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| Series: | Journal of Forest Science |
| Subjects: | |
| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201912-0004_calculation-of-the-aboveground-carbon-stocks-with-satellite-data-and-statistical-models-integrated-into-the-cli.php |
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| author | Mohadeseh Ghanbari Motlagh Sasan Babaie Kafaky Asadollah Mataji Reza Akhavan |
| author_facet | Mohadeseh Ghanbari Motlagh Sasan Babaie Kafaky Asadollah Mataji Reza Akhavan |
| author_sort | Mohadeseh Ghanbari Motlagh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T08:18:05Z |
| format | Article |
| id | doaj.art-184f17e01bf44475bef0171d49998923 |
| institution | Directory Open Access Journal |
| issn | 1212-4834 1805-935X |
| language | English |
| last_indexed | 2024-04-10T08:18:05Z |
| publishDate | 2019-12-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Journal of Forest Science |
| spelling | doaj.art-184f17e01bf44475bef0171d499989232023-02-23T03:43:01ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2019-12-01651249350310.17221/107/2019-JFSjfs-201912-0004Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)Mohadeseh Ghanbari Motlagh0Sasan Babaie Kafaky1Asadollah Mataji2Reza Akhavan3Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, IranResearch Institute of Forests and Ranglands, Agricultural Research Education and Extension Organization (AREEO), Tehran, IranThe 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.https://jfs.agriculturejournals.cz/artkey/jfs-201912-0004_calculation-of-the-aboveground-carbon-stocks-with-satellite-data-and-statistical-models-integrated-into-the-cli.phpclimatecarbon treesbroadleaf forestsspectral indices |
| spellingShingle | Mohadeseh Ghanbari Motlagh Sasan Babaie Kafaky Asadollah Mataji Reza Akhavan 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 climate carbon trees broadleaf forests spectral indices |
| title | Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran) |
| title_full | Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran) |
| title_fullStr | Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran) |
| title_full_unstemmed | Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran) |
| title_short | Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran) |
| title_sort | calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the alborz mountain forests northern iran |
| topic | climate carbon trees broadleaf forests spectral indices |
| url | https://jfs.agriculturejournals.cz/artkey/jfs-201912-0004_calculation-of-the-aboveground-carbon-stocks-with-satellite-data-and-statistical-models-integrated-into-the-cli.php |
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