Allo scopo di descrivere il ciclo annuale della produzione primaria (PP) pelagica nelle acque comprese tra il Mar Ligure e il Tirreno settentrionale, viene utilizzato un algoritmo semi-analitico del colore del mare di tipo sub-regionale. L'area d'indagine, oligo-mesotrofica con un certo impatto antropico lungo la costa toscana, è stata suddivisa in sei sottoregioni con caratteristiche ecologiche comuni. Nel modello di produzione primaria sono stati introdotti prodotti satellitari ottenuti da diversi satelliti (Meteosat, Aqua) e la produzione giornaliera per l'intera area è stata calcolata per ogni pixel (4x4 km) utilizzando un software GIS modificato. La grande importanza della fioritura oceanica e l'alta variabilità spaziale di PP (90 ±54 gC m-2 yr-1) indicano che i dati satellitari consentono una migliore valutazione del bilancio del carbonio anche in acque marine otticamente complesse.
The annual cycle of pelagic primary production (PP) from ocean colour is analysed in a transition area between Ligurian and Tyrrhenian waters, where a general oligo-mesotrophic status is seasonally modified by anthropic impact near the Tuscany coast. Based on the common ecological features six different zones were delimited. Remote sensing data from different satellites (Meteosat, Aqua) were used as input in a primary production model. The daily production of the entire area was computed on pixel by pixel basis (4x4 km) using a modified GIS software. Overwhelming importance of oceanic bloom and high spatial variance of PP (90±54 gC m-2 yr-1) show that remote sensed data can allow a better estimation of carbon budget even in optically complex waters.
Sub-regional patterns of primary production annual cycle in the Ligurian and North Tyrrhenian seas, from satellite data
Maselli Fabio;Pieri Maurizio;
2010
Abstract
The annual cycle of pelagic primary production (PP) from ocean colour is analysed in a transition area between Ligurian and Tyrrhenian waters, where a general oligo-mesotrophic status is seasonally modified by anthropic impact near the Tuscany coast. Based on the common ecological features six different zones were delimited. Remote sensing data from different satellites (Meteosat, Aqua) were used as input in a primary production model. The daily production of the entire area was computed on pixel by pixel basis (4x4 km) using a modified GIS software. Overwhelming importance of oceanic bloom and high spatial variance of PP (90±54 gC m-2 yr-1) show that remote sensed data can allow a better estimation of carbon budget even in optically complex waters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.