Sa stajališta šumskih požara, šumska prostirka se promatra kao potencijalno gorivo, no njena uloga i značaj u izmjeni tvari i energije, a poglavito ugljika u kontekstu aktualnih globalnih klimatskih promjena su veliki. Zbog toga se informacije o šumskoj prostirci tradicionalno koriste u modelima za procjenu opasnosti od šumskih požara te modelima za predikciju ponašanja i širenja šumskih požara, a u novije vrijeme i za procjenu emisija ugljika i drugih plinova te kvantificiranje zaliha ugljika. Glavni ciljevi ovog rada su: određivanje debljine, gustoće i količine pothorizonata šumske prostirke uz pripadajuće zalihe ugljika u sastojinama alepskog bora te izrada regresijskih modela debljine i količine šumske prostirke te debljine i zalihe ugljika, po pothorizontima i ukupno. Uzorkovanje šumske prostirke obavljeno je na području NP Mljet, u sastojinama alepskog bora, po debljinskim razredima: 0–50 cm, 100–150 cm i 200–250 cm opsega. Uzorkovanje je obavljeno po pothorizontima, a količine i udio organskog ugljika određene su za svaki pothorizont zasebno. Iz dobivenih rezultata vidljivo je da sastojine alepskog bora vežu značajne količine ugljika u svojoj prostirci, no uvjeti i zakonitosti nisu još dovoljno proučeni. U prilog tomu govore značajno veće debljine i količine šumske prostirke u sastojinama alepskog bora od onih do sada poznatih, pa je tako ispod stabala opsega 200–250 cm utvrđena srednja debljina prostirke od 9,0 cm i procijenjena količina od 94,3 Mg ha–1 sa zalihom ugljika od 37 Mg C ha–1. Regresijskom analizom utvrđena je statistički značajna veza debljina šumske prostirke s količinama prostirke i zalihama ugljika, te su dani regresijski modeli za OL pothorizont, zatim za OF1,OF2 i OH zajedno, kao i za ukupnu prostirku. Rezultati ovog istraživanja imaju praktičnu vrijednost u jednostavnijem kvantificiranju količina goriva i zaliha ugljika u šumskoj prostirci sastojina alepskog bora, koje se potom mogu koristiti u navedenim modelima. Inventarizacija šumskih goriva predstavlja osnovu za parametrizaciju i operativnu primjenu navedenih modela u Hrvatskoj. From the aspect of forest fires, the forest floor is considered a potential fuel: however, in the context of current global climate change it plays an exceptionally important role in the exchange of matter and energy and of carbon in particular. For this reason, forest floor data are traditionally used in forest fire danger rating and in fire behavior and spread models. More recently they have also been used to estimate emissions of carbon and other gasses and to gasses and to quantify carbon stocks. The main objectives of this study are to a) determine the depth, bulk density and fuel load for each forest floor horizon with the associated carbon stock in Aleppo pine stands and b) develop regression models that relate forest floor depth to forest floor fuel load and forest floor depth to forest floor carbon stock, for horizons and for the entire forest floor. Forest floor sampling was carried out in Aleppo pine stands situated in Mljet National Park, per 0-50 cm, 100-150 cm and 200-250 cm circumference classes. Each forest floor horizon was sampled separately, and fuel load and organic carbon content were determined for each horizon. Our results suggest that Aleppo pine stands contain significant carbon stocks in the forest floor, but relations and processes that influence these stocks have not been sufficiently studied. This is supported by significantly greater forest floor depths and fuel loads in Aleppo pine stands than previously reported. Thus, the mean depth of forest floor of 9.0 cm, fuel load of 94.3 Mg ha-1, and carbon stock of 37 Mg C ha–1 were determined under trees with a 200-250 cm circumference class. Regression analysis revealed a statistically significant relationship between depth and fuel load and between depth and carbon stock. Regression models were given for the OL horizon, the OF1,OF2 and OH horizons, as well as for the entire forest floor. Our results have practical value as they will allow reliable quantifications of forest floor fuel loads and carbon stocks in Aleppo pine stands by using easily measurable fuel characteristic, which can then be applied in the aforementioned models. The forest fuel inventory provides the basis for parameterization and operational use of a number of forest resource management applications in Croatia.