Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024372260> ?p ?o ?g. }
- W2024372260 endingPage "88" @default.
- W2024372260 startingPage "71" @default.
- W2024372260 abstract "AEI Aquaculture Environment Interactions Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections AEI 5:71-88 (2014) - DOI: https://doi.org/10.3354/aei00093 Modelling biogeochemical fluxes across a Mediterranean fish cage farm Daniele Brigolin1,*, Virna Loana Meccia1, Chiara Venier1, Paolo Tomassetti2, Salvatore Porrello2, Roberto Pastres1 1Department of Environmental Sciences, Informatics and Statistics, Università Ca’ Foscari Venezia, Calle larga S. Marta 2137, 30123 Venice, Italy 2ISPRA, Italian National Institute for Environmental Protection and Research, via di Casalotti 300, 00168 Rome, Italy *Corresponding author: brigo@unive.it ABSTRACT: An integrated approach is described for modelling interactions between off-shore fish cages and biogeochemical fluxes of carbon (C), nitrogen (N) and phosphorus (P). Two individual-based population dynamic models for European seabass Dicentrarchus labrax and gilthead seabream Sparus aurata were coupled with a Lagrangian deposition and a benthic degradation model. The individual models explicitly take into account the effects of water temperature and feed availability on fish growth. The integrated model was tested at a Mediterranean fish farm where a comprehensive set of in situ environmental and husbandry data was available. Tests were performed to compare the predicted and observed total organic carbon (TOC) concentrations in surface sediment under and near fish cages. At a local scale, the model output simulated the spatial distribution of 4 biogeochemical indicators, namely: TOC concentrations, C fluxes towards the seabed and C:N and C:P ratios. These allowed the most impacted areas and more extended areas of intermediate organic enrichment to be identified. The model was also used for estimating the mass balance of C, N and P, in order to determine the potential cumulative effects of multiple fish farms in the same area. The C, N and P fluxes among feed, fish and environment were calculated for each fish species over 24 mo of farm activity. The results showed that the amount of dissolved N directly released into the water column in inorganic form (ammonia/urea) was comparable to that deposited on the seafloor in particulate form as uneaten feed and faeces. A larger fraction of P (about 65%) was released as faeces. Results from the integrated model yielded useful information for assessing the sustainability of an area for aquaculture activities that could be used to provide a scientific rationale for fish farm development in new areas. KEY WORDS: Nutrient budgets · Marine spatial planning · Ecosystem approach to aquaculture · Cage farming · Individual-based model · Particle tracking model Full text in pdf format Supplementary material PreviousNextCite this article as: Brigolin D, Meccia VL, Venier C, Tomassetti P, Porrello S, Pastres R (2014) Modelling biogeochemical fluxes across a Mediterranean fish cage farm. Aquacult Environ Interact 5:71-88. https://doi.org/10.3354/aei00093 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in AEI Vol. 5, No. 1. Online publication date: April 30, 2014 Print ISSN: 1869-215X; Online ISSN: 1869-7534 Copyright © 2014 Inter-Research." @default.
- W2024372260 created "2016-06-24" @default.
- W2024372260 creator A5009937173 @default.
- W2024372260 creator A5048370588 @default.
- W2024372260 creator A5049447349 @default.
- W2024372260 creator A5071250189 @default.
- W2024372260 creator A5084848940 @default.
- W2024372260 creator A5088587230 @default.
- W2024372260 date "2014-04-30" @default.
- W2024372260 modified "2023-09-25" @default.
- W2024372260 title "Modelling biogeochemical fluxes across a Mediterranean fish cage farm" @default.
- W2024372260 cites W172139026 @default.
- W2024372260 cites W1883438061 @default.
- W2024372260 cites W1965960034 @default.
- W2024372260 cites W1967229365 @default.
- W2024372260 cites W1972340674 @default.
- W2024372260 cites W1979362700 @default.
- W2024372260 cites W1984696938 @default.
- W2024372260 cites W1985039852 @default.
- W2024372260 cites W1993615448 @default.
- W2024372260 cites W1996034668 @default.
- W2024372260 cites W2006971279 @default.
- W2024372260 cites W2010661328 @default.
- W2024372260 cites W2015618232 @default.
- W2024372260 cites W2022632047 @default.
- W2024372260 cites W2026664844 @default.
- W2024372260 cites W2027977527 @default.
- W2024372260 cites W2028751781 @default.
- W2024372260 cites W2034846752 @default.
- W2024372260 cites W2035211561 @default.
- W2024372260 cites W2038243125 @default.
- W2024372260 cites W2044747678 @default.
- W2024372260 cites W2045397472 @default.
- W2024372260 cites W2045921420 @default.
- W2024372260 cites W2047824480 @default.
- W2024372260 cites W2048819185 @default.
- W2024372260 cites W2049653486 @default.
- W2024372260 cites W2055980191 @default.
- W2024372260 cites W2061328934 @default.
- W2024372260 cites W2063018806 @default.
- W2024372260 cites W2065389018 @default.
- W2024372260 cites W2071159895 @default.
- W2024372260 cites W2071200840 @default.
- W2024372260 cites W2081453094 @default.
- W2024372260 cites W2089397829 @default.
- W2024372260 cites W2092765515 @default.
- W2024372260 cites W2094484056 @default.
- W2024372260 cites W2095305855 @default.
- W2024372260 cites W2106806141 @default.
- W2024372260 cites W2106990725 @default.
- W2024372260 cites W2108823038 @default.
- W2024372260 cites W2118158075 @default.
- W2024372260 cites W2125504585 @default.
- W2024372260 cites W2136760254 @default.
- W2024372260 cites W2138404166 @default.
- W2024372260 cites W2143072453 @default.
- W2024372260 cites W2149470498 @default.
- W2024372260 cites W2157348076 @default.
- W2024372260 cites W2165051416 @default.
- W2024372260 cites W2166902701 @default.
- W2024372260 cites W2495338708 @default.
- W2024372260 cites W2530998623 @default.
- W2024372260 cites W2945021352 @default.
- W2024372260 cites W4235576081 @default.
- W2024372260 cites W4246926213 @default.
- W2024372260 cites W4247524021 @default.
- W2024372260 cites W4256193287 @default.
- W2024372260 doi "https://doi.org/10.3354/aei00093" @default.
- W2024372260 hasPublicationYear "2014" @default.
- W2024372260 type Work @default.
- W2024372260 sameAs 2024372260 @default.
- W2024372260 citedByCount "32" @default.
- W2024372260 countsByYear W20243722602015 @default.
- W2024372260 countsByYear W20243722602016 @default.
- W2024372260 countsByYear W20243722602017 @default.
- W2024372260 countsByYear W20243722602018 @default.
- W2024372260 countsByYear W20243722602019 @default.
- W2024372260 countsByYear W20243722602020 @default.
- W2024372260 countsByYear W20243722602022 @default.
- W2024372260 countsByYear W20243722602023 @default.
- W2024372260 crossrefType "journal-article" @default.
- W2024372260 hasAuthorship W2024372260A5009937173 @default.
- W2024372260 hasAuthorship W2024372260A5048370588 @default.
- W2024372260 hasAuthorship W2024372260A5049447349 @default.
- W2024372260 hasAuthorship W2024372260A5071250189 @default.
- W2024372260 hasAuthorship W2024372260A5084848940 @default.
- W2024372260 hasAuthorship W2024372260A5088587230 @default.
- W2024372260 hasBestOaLocation W20243722601 @default.
- W2024372260 hasConcept C111368507 @default.
- W2024372260 hasConcept C127313418 @default.
- W2024372260 hasConcept C130309983 @default.
- W2024372260 hasConcept C18903297 @default.
- W2024372260 hasConcept C2779043415 @default.
- W2024372260 hasConcept C39432304 @default.
- W2024372260 hasConcept C4646841 @default.
- W2024372260 hasConcept C505870484 @default.
- W2024372260 hasConcept C71915725 @default.
- W2024372260 hasConcept C83042747 @default.