Managing the nutrient loads of the Venice Lagoon Watershed: are the loads external to the watershed relevant under the WFD River Basin District framework?

Azzellino, Arianna; Carpani, Marta; Çevirgen, S.; Giupponi, Carlo; Parati, P.; Ragusa, Francesca; Salvetti, Roberta

doi:10.2112/si65-005.1

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…Bernardi Aubry et al 10.3389/fmars.2022.974967 Italy and nutrient loads are about 5,000-6,000 t N y -1 and 300t P y -1 (Azzellino et al, 2013). Two long barrier islands separate the LoV from the GoV and allow water exchange through three large inlets (Lido, Malamocco and Chioggia), each corresponding to a specific basin inside the lagoon (north, central and south).…”

Section: Study Areamentioning

confidence: 99%

Differences and similarities in the phytoplankton communities of two coupled transitional and marine ecosystems (the Lagoon of Venice and the Gulf of Venice - Northern Adriatic Sea)

et al. 2022

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The main aim of this paper is to paint an ecological picture of the phytoplankton communities of two adjacent and connected ecosystems, one transitional and one coastal marine, in the Northern Adriatic Sea: the Lagoon of Venice (LoV) and the Gulf of Venice (GoV). Based on 10 years (2011-2020) of monthly samplings, we compare the taxonomic composition, abundance and seasonal cycles of the two ecosystems. We focus on the inner zones of the LoV and on the coastal sea up to 8 nmi offshore, an area suitable for assessing the reciprocal influence of the lagoon and sea in terms of phytoplankton. Our main interest is to verify (i) whether the sea still affects the lagoon phytoplankton and (ii) whether the lagoon can provide organisms to the adjacent sea. Using a matrix composed of 466 samples, we performed various types of analysis to: (i) identify the prevalent features and seasonal patterns of abiotic factors and chlorophyll a, (ii) assess and compare taxonomic composition at each station and (iii) identify the generalist and specialist taxa. Our findings provide evidence that the prevalent structure of the communities in the selected areas of the two environments clearly differ concerning (i) seasonal succession, unimodal in the LoV (only one peak in summer) and multi-peak in the GoV (a succession of small peaks from spring to autumn), (ii) abundance and chlorophyll a, both much higher in the LoV (average: 6,009,593 cells l-1 and 4.1 µgl-1 respectively) than in the GoV (average 2,901,266 cells l-1 and 1,5 µgl-1 respectively), (iii) community composition, dominated by diatoms shared with benthic habitats (e.g. Thalassiosira, Nitzschia, Navicula) in the lagoon and by euplanktonic diatoms (e.g. Skeletonema, Chaetoceros, Pseudonitzschia) in the sea. The phytoplankton in the LoV appears to be affected by the marine phytoplankton of the adjacent sea and vice versa: the two environments share taxa that are both generalist (e.g. Skeletonema, Chaetoceros, Cyclotella, Pseudonitzschia) and specialist. Although the dominant factors in structuring the phytoplankton communities are local, dispersal rates, while not intense enough to generate transport of species that could significantly affect assemblage composition, are also at play.

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Section: Study Areamentioning

confidence: 99%

Differences and similarities in the phytoplankton communities of two coupled transitional and marine ecosystems (the Lagoon of Venice and the Gulf of Venice - Northern Adriatic Sea)

et al. 2022

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“…In the lower lagoon, where sediments are mainly composed by sand, the regenerated processes near the sediment-water interface are not so significant, and thus model performance is better. Moreover, model performance was similar to Azzellino et al (2013) for the Lagoon of Venice, and by Santhi et al (2006) that present skill and R values equal or higher than 0.5. However, it must be stressed that the values must be interpreted under the assumption that there is no sediment-water exchange of nutrients.…”

Section: Discussionmentioning

confidence: 55%

“…The actual model formulation of MOHID model, as in many water quality models (Bendoricchio & De Boni, 2005;Painting et al, 2007;Lopes et al, 2008;Duarte et al, 2008;Azzellino et al, 2013), does not connect metals cycle to biogeochemical cycle of nutrients. The absence of chemical cycles (metals and other components) explained the handicap of the model in reproducing the PO 3À 4 summer peaks and consequently the blooms in the BB.…”

Section: Discussionmentioning

confidence: 99%

“…Other studies on coastal lagoons and estuarine management in Europe have focused on the catchment area or in the lagoons/estuaries, without necessarily linking both (Gikas et al, 2006;Painting et al, 2007;Zemlys et al, 2008;Duarte et al, 2008;Stybel et al, 2009;Konstantinou et al, 2012;Azzellino et al, 2013).…”

Section: Management Implicationsmentioning

confidence: 99%

“…Penn et al (2000) estimated that internal loading can contribute up to 80% of the PO 3À 4 input under specific circumstances (e.g., particularly in summer). Generally, water management studies to improve water quality in European ecosystems have focused on external sources of nutrients (Korfmacher, 1998;La Jeunesse et al, 2002;Gikas et al, 2006;Duarte et al, 2008;Azzellino et al, 2013). Internal loads of nutrients tend to be suppressed in the management studies, as well in the strategy of the WFD (http://ec.europa.eu/environment/water/water framework/), being considered less representative than external loads, possibly due to the fact that it is easier to act on this sources (e.g., point sources).…”

Section: Management Implicationsmentioning

confidence: 99%

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Trophic state evaluation after urban loads diversion in a eutrophic coastal lagoon (Óbidos Lagoon, Portugal): a modeling approach

et al. 2014

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Ó bidos Lagoon is classified as a sensible system according to the eutrophication criteria in the Portuguese Decree-Law 149/2004, which transpose the standards of Urban Waste Water Treatment Directive (Council Directive 91/271/EEC) concerning urban waste water treatment. From September 2005 onwards, the urban loads of five Waste Water Treatment Plant (WWTP) were deviated to a submarine outfall to prevent water degradation and improve the lagoon trophic state (LTS). This paper evaluated the LTS after urban loads diversion, testing the hypothesis behind the management decision. First, the loads reaching the lagoon were determined with the Harp-Nut guidelines and watershed modeling. Then, the water quality in the lagoon was simulated with a hydro-ecological model and compared with measured data. Finally, management scenarios corresponding to nutrient loads reduction were tested to determine hypothesis-driven LTS. Results showed that the loads from pig farms should be diverted instead of the WWTP, to improve the LTS and achieve a ''Good/Bad'' status. The proposed method stresses the importance of integrated modeling tools in the Water Framework Directive, given their skill in testing various hypothesis, and ultimately ruling out inadequate management decisions before implementation.

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A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes

Essenfelder

Giupponi

2020

Environmental Modelling & Software

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Managing the nutrient loads of the Venice Lagoon Watershed: are the loads external to the watershed relevant under the WFD River Basin District framework?

Cited by 6 publications

References 16 publications

Differences and similarities in the phytoplankton communities of two coupled transitional and marine ecosystems (the Lagoon of Venice and the Gulf of Venice - Northern Adriatic Sea)

Differences and similarities in the phytoplankton communities of two coupled transitional and marine ecosystems (the Lagoon of Venice and the Gulf of Venice - Northern Adriatic Sea)

Trophic state evaluation after urban loads diversion in a eutrophic coastal lagoon (Óbidos Lagoon, Portugal): a modeling approach

A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes

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