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TitleStable isotopes and digital elevation models to study nutrient inputs in high-arctic lakes
AbstractFive major factors control nutrient and organic matter inputs in high-Arctic lakes, all potentially affected by climate change: ice cover; run-off from the watershed; aquatic and terrestrial primary productivity; guano deposition from birds. Quantifying these controls is a key first step to understand what combination of factors underlies the biological productivity in Arctic lakes and drives their ecological response to climate change. Based on C and N elemental content and stable isotope analysis in sediments belonging to three lakes in North Spitsbergen (Svalbard), Digital Elevation Models and drainage maps, we propose an integrated approach for the analysis of nutrient and organic matter inputs in lakes and the role of catchment hydro-geomorphology in determining inter-lake differences in the isotopic composition of sediments. Given its high run-off and large catchment, organic deposits in Tvillingvatnet were dominated by terrestrial inputs, whereas inputs were mainly of aquatic origin in Storvatnet, a lowland lake characterised by low potential run-off. In Kolhamna, organic deposits seemed to be dominated by inputs from birds. Isotopic signatures were similar between samples within each lake, representing precise tracers for studies on the effect of climate change on biogeochemical cycles in lakes. The presented approach proved to be an effective research pathway for the identification of factors underlying nutrient and organic matter inputs within each water body, as well as for the modelling of expected changes in nutrient content associated with changes in isotopic composition of sediments.
SourceRendiconti lincei. Scienze fisiche e naturali 27, pp. 191–199
KeywordsNitrogenCarbon, sedimentBiogeochemical cycleClimate changeHydro-ecologySvalbard
JournalRendiconti lincei. Scienze fisiche e naturali
EditorSpringer Verlag Italia, Milano, Italia
Year2016
TypeArticolo in rivista
DOI10.1007/s12210-016-0515-9
AuthorsCalizza, Edoardo; Costantini, Maria Letizia; Rossi, David; Pasquali, Vittorio; Careddu, Giulio; Rossi, Loreto
Text421117 2016 10.1007/s12210 016 0515 9 ISI Web of Science WOS 000382669200020 Nitrogen Carbon, sediment Biogeochemical cycle Climate change Hydro ecology Svalbard Stable isotopes and digital elevation models to study nutrient inputs in high arctic lakes Calizza, Edoardo; Costantini, Maria Letizia; Rossi, David; Pasquali, Vittorio; Careddu, Giulio; Rossi, Loreto Sapienza Univ Rome; CNR IRSA; Sapienza Univ Rome; Univ Tuscia Five major factors control nutrient and organic matter inputs in high Arctic lakes, all potentially affected by climate change ice cover; run off from the watershed; aquatic and terrestrial primary productivity; guano deposition from birds. Quantifying these controls is a key first step to understand what combination of factors underlies the biological productivity in Arctic lakes and drives their ecological response to climate change. Based on C and N elemental content and stable isotope analysis in sediments belonging to three lakes in North Spitsbergen Svalbard , Digital Elevation Models and drainage maps, we propose an integrated approach for the analysis of nutrient and organic matter inputs in lakes and the role of catchment hydro geomorphology in determining inter lake differences in the isotopic composition of sediments. Given its high run off and large catchment, organic deposits in Tvillingvatnet were dominated by terrestrial inputs, whereas inputs were mainly of aquatic origin in Storvatnet, a lowland lake characterised by low potential run off. In Kolhamna, organic deposits seemed to be dominated by inputs from birds. Isotopic signatures were similar between samples within each lake, representing precise tracers for studies on the effect of climate change on biogeochemical cycles in lakes. The presented approach proved to be an effective research pathway for the identification of factors underlying nutrient and organic matter inputs within each water body, as well as for the modelling of expected changes in nutrient content associated with changes in isotopic composition of sediments. 27 Published version Articolo in rivista Springer Verlag Italia 2037 4631 Rendiconti lincei. Scienze fisiche e naturali Rendiconti lincei. Scienze fisiche e naturali Rend. lincei, Sci. fis. nat. Rendiconti lincei. Scienze fisiche e naturali. Rendiconti lincei david rossi ROSSI DAVID