Pregled bibliografske jedinice broj: 460799
Predicting aquaculture-derived benthic organic enrichment: Model validation
Predicting aquaculture-derived benthic organic enrichment: Model validation // Ecological modelling, 220 (2009), 19; 2407-2414 doi:10.1016/j.ecolmodel.2009.06.033 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 460799 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting aquaculture-derived benthic organic enrichment: Model validation
Autori
Jusup, Marko ; Klanjšček, Jasminka ; Petricioli, Donat ; Legović, Tarzan
Izvornik
Ecological modelling (0304-3800) 220
(2009), 19;
2407-2414
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
deposition ; particle tracking ; model ; validation ; aquaculture ; environmental impact
Sažetak
A sediment trap validation study was conducted near the commercial sea bass and sea bream fish farm in order to assess the predictive capability of a particle tracking deposition model. The validation procedure consisted of two distinct phases. First, the deposition of particulate waste (i.e. fecal pellets and excess feed) was measured near a single net pen containing 19 tons of sea bass. Afterwards, the model quality was determined by statistical comparison of predicted and observed values. Goodness of fit analysis indicates that the model successfully accounts for more than 75% of variance in the observed deposition. At 5% significance level, predictions do not underestimate or overestimate observations and there is no bias. Mean absolute relative error of ±48.9% compares favorably to other published deposition models. Obtained results affirm the reliability of particle tracking techniques in modeling the aquaculture-derived benthic organic enrichment.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
POVEZANOST RADA
Projekti:
098-0982934-2719 - Ekološko modeliranje za održivo upravljanje resursima (Legović, Tarzan, MZOS ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus