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Pregled bibliografske jedinice broj: 460799

Predicting aquaculture-derived benthic organic enrichment: Model validation


Jusup, Marko; Klanjšček, Jasminka; Petricioli, Donat; Legović, Tarzan
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)


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


Projekt / tema
098-0982934-2719 - Ekološko modeliranje za održivo upravljanje resursima (Tarzan Legović, )

Ustanove
Institut "Ruđer Bošković", Zagreb

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


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