Development and application of a phytoplankton primary production model for well-mixed lakes

For estimations of the ecological state of a lake and its future trends, data on seasonal and long-term variations of primary production are most necessary. The methods of in situ measurements of production are time consuming, rather complicated, and very expensive. Bio-optical model calculations pr...

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Veröffentlicht in:Proceedings of the Estonian Academy of Sciences 2013-01, Vol.62 (4), p.267-276
Hauptverfasser: Kauer, T, Arst, H, Nõges, T, Arst, G-E
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Sprache:eng
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Zusammenfassung:For estimations of the ecological state of a lake and its future trends, data on seasonal and long-term variations of primary production are most necessary. The methods of in situ measurements of production are time consuming, rather complicated, and very expensive. Bio-optical model calculations provide a good alternative here. A semi-empirical model for estimating phytoplankton primary production (Arst et al., 2008, Aquatic Biology, Vol. 3, No. 1, pp. 19-30) allows calculating the vertical profiles and areal (integrated over water column) values of primary production using chlorophyll a concentration, incident irradiance, and light attenuation coefficient in the water. In the present study this model was developed further by elaborating its automated version. It enables performing rapid and greatly replicated estimations of the circumstantial variability of phytoplankton primary production at hourly intervals from morning to evening and as daily and monthly sums based on a table of initial parameters and depths. For demonstrating the practical application of the model we calculated primary production in two large eutrophic North-European lakes (Vortsjarv and Peipsi, Estonia), using a database collected during four warm months in 2009 (123 days in both lakes).Original Abstract: Futoplanktoni primaarproduktsiooni tulemusena toodetud orgaanilise aine kogus naitab veekogu troofilist taset ja seelabi ka vee kvaliteeti. Et hinnata jarvede okoloogilist seisundit ja prognoosida selle voimalikke muutusi, on kindlasti vajalikud andmed primaarproduktsiooni sesoonse ning pikaajalise muutlikkuse kohta. Primaarproduktsiooni in situ mootmised on aeganoudvad ja nende suuremahuline teostamine vaga kallis. Mudelarvutused on siin heaks alternatiiviks. Kaesoleva uurimuse eesmargiks on: 1) edasi arendada meie poolt varem (Arst et al., 2008a) koostatud primaarproduktsiooni mudeleid, b) naidata nende mudelite praktilist rakendamist Eesti jarvedel. Automatiseeritud mudeli rakendamist primaarproduktsiooni profiilide paevase muutlikkuse kirjeldamiseks, samuti produktsiooni paeva- ja kuusummade arvutamist on naidatud Peipsil ning Vortsjarvel 2009. aasta nelja kuu (mai-august) jooksul moodetud andmebaasi alusel. Ule veesamba integreeritud primaarproduktsiooni paevasummade muutlikkuse piirid olid Peipsil 100-1390 mg C m super(-2) paev super(-1) ja Vortsjarvel 780-2338 mg C m super(-2) paev super(-1).
ISSN:1736-6046
1736-7530
DOI:10.3176/proc.2013.4.07