Assegno di Ricerca
Dipartimento di Ecologia Marina Intregrata
Stazione Zoologica Anton Dohrn
Villa Comunale
80121 Napoli - Italia
Tel.: +39 3477442694
E-mail: sarah.magozzi(at)szn.it
Supervisor: Trevor Willis
Appointed on project: IsoMed. The Mediterranean isoscapes: mapping spatial distributions of stable isotopes in ecosystems across the Mediterranean Sea
Interessi di ricerca
La mia ricerca utilizza gli isotopi stabili come traccianti per rispondere a domande di ecologia marina spaziale e trofica. Mi occupo dello sviluppo di modelli basati su dati e processi per fare predizioni e mappe della variabilità spaziale della composizione isotopica dei produttori primari alla base delle reti trofiche marine. Queste mappe, definite 'isoscapes' forniscono un riferimento a cui possono essere comparate le composizioni isotopiche dei tessuti biologici animali al fine di dedurre il luogo più probabile in cui i tessuti si sono originati o una migrazione, come anche cambiamenti di livello trofico o interazioni trofiche. Sono particolarmente interessata alle dinamiche spazio-temporali in ecologia isotopica e allo sviluppo di modelli che identifichino ed incorporino i meccanismi che causano variabilità isotopica.
Principali Pubblicazioni
Magozzi S, Calosi P. (2015). Integrating metabolic performance, thermal tolerance, and plasticity enables for more accurate predictions on species vulnerability to acute and chronic effects of global warming. Global Change Biology, 21: 181-194
Magozzi S, Yool A, Vander Zanden HB, Wunder MB, Trueman CN. (2017). Using ocean models to predict spatial and temporal variation in marine carbon isotopes. Ecosphere, 8: e01763
Bird CS, Verissimo A, Magozzi S, et al. (2018). A global perspective on the trophic geography of sharks. Nature Ecology & Evolution, 2: 299-305
Magozzi S, Vander Zanden HB, Wunder MB, Bowen GJ. (2019). Mechanistic model predicts tissue-environment relationships and trophic shifts in animal hydrogen and oxygen isotope ratios. Oecologia, 191: 777-789
Carpenter-Kling T, Pistorius P, Connan M, Reisinger R, Magozzi S, Trueman CN. (2019). Sensitivity of δ13C values of seabird tissues to combined spatial, temporal and ecological drivers: a simulation approach. Journal of Experimental Marine Biology and Ecology, 512: 12-21
Trueman CN, Jackson AL, Chadwick KS, Coombs EJ, Feyrer LJ, Magozzi S, Sabin RC, Cooper N. (2019). Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants. PeerJ, 7: e7912
Magozzi S, Vander Zanden HB, Wunder MB, Trueman CN, Pinney K, Peers D, Dennison PE, Horns JJ, Şekercioğlu CH, Bowen GJ. (2020). Combining models of environment, behavior, and physiology to predict tissue hydrogen and oxygen isotope variance among individual terrestrial animals. Frontiers in Ecology and Evolution, 8: 536109
Magozzi S, Bataille CP, Hobson KA, Wunder MB, Howa JA, Contina A, Vander Zanden HB, Bowen GJ. (2021). Calibration chain transformation improves the comparability of organic hydrogen and oxygen stable isotope data. Methods in Ecology and Evolution, 12: 732-747
Magozzi S, Thorrold SR, Houghton L, Bendall VA, Hetherington S, Mucientes G, Natanson LJ, Queiroz N, Santos MN, Trueman CN. (2021). Compound-specific stable isotope analysis of amino acids in pelagic shark vertebrae reveals baseline, trophic, and physiological effects on bulk protein isotope records. Frontiers in Marine Science, 8: 673016
St John Glew K, Espinasse B, Hunt BPV, Pakhomov EA, Bury SJ, Pinkerton M, Nodder SD, Gutiérrez‐Rodríguez A, Safi K, Brown JCS, Graham L, Dunbar RB, Mucciarone DA, Magozzi S, Somes C, Trueman CN. (2021).
Isoscape models of the Southern Ocean: Predicting spatial and temporal variability in carbon and nitrogen isotope compositions of particulate organic matter. Global Biogeochemical Cycles, 35: e2020GB006901
Databases and repositories
Magozzi S, Bowen GJ. (2019). SPATIAL-Lab/SteadyStateHOModel: Oecologia final submission (Version v1.1). Zenodo. http://doi.org/10.5281/zenodo.3387255. (Accessed 15 October 2019)
Bowen GJ, Magozzi, S. (2020). Spatial-Lab/CombinedDynamicHOModel: Matilda (Version v0.2). Zenodo. Available online at: http://doi.org/10.5281/zenodo.4048720. (Accessed 24 September 2020)
Bowen GJ, Ma C. (2021). SPATIAL-Lab/assignR: Redstart (Version 2.0.0). Zenodo, https://doi.org/10.5281/zenodo.4430639.
