LAUSR

Abstract The identification for the sources of organic matters (OMs) is necessary to better understand biogeochemical cycling of carbon in aquatic environments. Hence, we intend to evaluate quantitative contributions of OM sources by using typical n -alkane indexes. In this regard, the end-member mixing experiment was designed as an example of theoretical system, which was physically mixed by two contrasting OM sources (e.g. soil and algae). Two sources showed distinct patterns with the long-chain alkanes (e.g., mainly C 25 , C 27, C 29, C 31 and C 33 ) for soil, but mid-chain alkanes (e.g., mainly C 19, C 21, C 23 and C 25 ) for algae. However, typical n -alkane indexes such as average chain length (ACL), carbon preference index (CPI), and aquatic plants % (P mar-aq ), except for terrestrial/aquatic ratio (TAR), were not well reflected for different proportions of mixed OM sources, indicating the overestimated contribution of soil sources. With respect to source tracking capability of n -alkane indexes, the calculated regression slope indicated non-linear relationships (R 2  = 0.52–0.67) in ACL, CPI, and P mar-aq , and linear relationships (R 2  = 0.86) in TAR, while the most precise capability was found for carbon isotopic compositions (δ 13 C) of C 25 alkane (linear relationships; R 2  = 0.97) calculated from the isotope mixing model. Thus, the present study suggests that a binary mixing model of C 25 alkanes concentrations combined with their isotopic values should be a promising tool for quantifying each contribution of autochthonous and/or allochthonous OM in natural aquatic environments.