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Ciencias marinas

versión impresa ISSN 0185-3880

Resumen

OCHOA-IZAGUIRRE, María Julia  y  SOTO-JIMENEZ, Martín Federico. Evaluation of nitrogen sources in the Urías lagoon system, Gulf of California, based on stable isotopes in macroalgae. Cienc. mar [online]. 2013, vol.39, n.4, pp.413-430. ISSN 0185-3880.

The concentrations of chemical forms of nitrogen (N) and their isotopic composition in the water column and the δ15N signals in 738 samples of macroalgae collected during one year across the Urías lagoon system (Mazatlán, Sinaloa, Mexico) were analyzed in order to study the N sources. The δ15N-macroalgae premise is that they register and integrate the variability of N and may provide time-integrated information about N pollution. To validate this premise, we applied two models to predict the isotopic variability of N available in the water column (δ15N-DIN): one is based on a physical mixing balance of N sources (simple model), and the second includes the effects of the biogeochemical processes on the signals (coupled model, CM). Both models showed significant R2, but CM better explained the δ15N-DIN variability. The relation between δ15N-DINCM and δ15N-macroalgae also showed a good fit, although lower than expected and with higher dispersion. The multiple N sources and co-occurring biogeochemical reactions, which produce a mixture of chemical species of N and of their isotopic compositions, as well as the high diversity of species (45) explained the elevated variability and lack of fit. Even so, δ15N in macroalgae is the most useful available tool to quantify the relative contributions of N to ecosystems from different sources. Based on Bayesian isotopic mixing models, the main anthropogenic sources of N to the Urías lagoonal system were domestic effluents (50%), atmospheric deposition (24%), and seafood processing plant effluents (21%), and to a lesser extent, aquaculture effluents (3%), agriculture runoff (1%), and oceanic N (1%).

Palabras llave : δ15N; eutrophication; biogeochemical cycle; NLOAD model; MixSIR.

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