Forest ecosystems play a crucial role in mitigat-ing global climate change by forming massive carbon sinks. Their carbon stocks and stock changes need to be quanti-fied for carbon budget balancing and international reporting schemes. However, direct sampling and biomass weighing may not always be possible for quantification studies con-ducted in large forests. In these cases, indirect methods that use forest inventory information combined with remote sens-ing data can be beneficial. Synthetic aperture radar (SAR) images offer numerous opportunities to researchers as freely distributed remote sensing data. This study aims to estimate the amount of total carbon stock (TCS) in forested lands of the Kizildag Forest Enterprise. To this end, the actual stor-age capacities of five carbon pools, i.e. above- and below-ground, deadwood, litter, and soil, were calculated using the indirect method based on ground measurements of 264 forest inventory plots. They were then associated with the back-scattered values from Sentinel-1 and ALOS-2 PALSAR-2 data in a Geographical Information System (GIS). Finally, TCS was separately modelled and mapped. The best regres-sion model was developed using the HH polarization of ALOS-2 PALSAR-2 with an adjusted R 2 of 0.78 ( p < 0.05). According to the model, the estimated TCS was about 2 Mt for the entire forest, with an average carbon storage of 133 t ha -1 . The map showed that the distribution of TCS was heterogenic across the study area. Carbon hotspots were mostly composed of pure stands of Anatolian black pine and mixed, over-mature stands of Lebanese cedar and Taurus fir. It was concluded that the total carbon stocks of forest eco-systems could be estimated using appropriate SAR images at acceptable accuracy levels for forestry purposes. The use of additional ancillary data may provide more delicate and reliable estimations in the future. Given the implications of this study, the spatiotemporal dynamics of carbon can be effectively controlled by forest management when coupled with easily accessible space-borne radar data.

Can Vatanda?lar;Saygin Abdikan

Department of Forest Engineering,Artvin Coruh University,08100 Artvin,Turkey;Department of Geomatics Engineering,Hacettepe University,06800 Ankara,Turkey

林业研究（英文版）

[1]Can Vatanda?lar;Saygin Abdikan-.Carbon stock estimation by dual-polarized synthetic aperture radar (SAR) and forest inventory data in a Mediterranean forest landscape)[J].林业研究（英文版）,2022(03):827-838

mitigat,Kizildag,heterogenic,Anatolian,Lebanese,cedar,Taurus

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