An ecological model of the Northern and Central Adriatic Sea: Analysis of ecosystem structure and fishing impacts

Coll, Marta; Santojanni, Alberto; Palomera, Isabel; Tudela, Sergi; Arneri, Enrico

doi:10.1016/j.jmarsys.2006.10.002

Cited by 180 publications

(215 citation statements)

References 125 publications

Supporting

Mentioning

172

Contrasting

Unclassified

Order By: Relevance

“…It was slightly higher than the value (2.92) for Lake Taihu (Li et al, 2009a,b), and similar to the value (3.07) for Northern and Central Adriatic Sea (Coll et al, 2007). Clearly, these two ecosystems have experienced both high fishing pressure and eutrophication.…”

Section: Ecosystem Propertiessupporting

confidence: 60%

“…Eutrophic processes would decrease the information diversity in an ecosystem and lead to relatively low level of ascendency. In this study, because of the low value of AMI (0.929) in Lake Dianchi, the value of ascendency (25.3%) was similar to that of the eutrophic Lake Taihu (25.7%) and Northern Adriatic Sea (24.7%) (Li et al, 2009a,b;Coll et al, 2007), and was considerably lesser than that of the relatively oligotrophic ecosystems such as Lake Qiandao (33.4%) and Évbrié lagoon (34.0%) (Villanueva et al, 2006;Liu et al, 2007).…”

Section: Cycling and Information Indicessupporting

confidence: 57%

See 1 more Smart Citation

Modelling ecosystem structure and trophic interactions in a typical cyanobacterial bloom-dominated shallow Lake Dianchi, China

Shan

Wang

et al. 2014

Ecological Modelling

View full text Add to dashboard Cite

Section: Ecosystem Propertiessupporting

confidence: 60%

Section: Cycling and Information Indicessupporting

confidence: 57%

Modelling ecosystem structure and trophic interactions in a typical cyanobacterial bloom-dominated shallow Lake Dianchi, China

Shan

Wang

et al. 2014

Ecological Modelling

View full text Add to dashboard Cite

“…Our result (11.5%) is in accordance with the range (10 to 15%) of values reported in the literature (Christensen & Pauly 1993). Furthermore, for comparison, TEs are 12.62 and 10% for the Catalan and Adriatic Sea, respectively (Coll et al 2006(Coll et al , 2007. To sum up, all these indicators of ecosystem maturity show that the BSNR model is in accordance with other Ecopath coastal models and with theory of trophic flows, suggesting that the model has realistic features despite some uncertainties.…”

Section: Ecopath Resultsmentioning

confidence: 60%

Simulation of the combined effects of artisanal and recreational fisheries on a Mediterranean MPA ecosystem using a trophic model

Albouy¹,

Mouillot²,

Rocklin³

et al. 2010

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Marine protected areas (MPAs) have the potential to enhance the long-term sustainability of coastal resources, and the artisanal fisheries which depend on them. However, recreational fisheries, which are increasing their impacts on coastal resources worldwide, may reduce the benefits that MPAs provide to declining artisanal fisheries. Here we used the Bonifacio Straits Natural Reserve (BSNR) Corsica as a study case to simulate the combined effects on coastal resources of artisanal and recreational fishing efforts. The BSNR ecosystem was modelled using mass-balance modelling of trophic interactions. This model was compared to another built on a non-protected area from the same region. We aggregated fishing fleets into artisanal and recreational categories, and we simulated various combinations of fishing effort over a 20 yr dynamic simulation using Ecosim. We showed that fishing activities have an additional top-down effect on the food web and that they decrease the targeted group's biomass, such as piscivorous species. We found, for some trophic groups, non-trivial patterns of biomass variation through trophic cascades. Our trophic approach revealed that some groups may suffer a biomass decrease when MPAs are set or enforced, due to the combined effect of artisanal and recreational fisheries. Overall, our results illustrate the value of modelling to manage MPAs, as a complementary tool to surveys. Models provide the opportunity to anticipate the potential consequences, at the ecosystem level, of socio-political decisions that aim to sustain coastal resources while managing artisanal and recreational fisheries.

show abstract

“…References for the sources of data used for constructing the food web model are summarized in Appendix A, Table A1 (Brey, 2001;Buia et al, 2000;Cavraro, 2007;Celussi et al, 2009;Coll et al, 2007;Consorzio Venezia Nuova, 2003, 2005aDanovaro and Fabiano, 1997;Facca and Sfriso, 2007;Facca et al, 2009;Franco et al, 2006a;Froese and Pauly, 2002;Jørgensen et al, 1991;Sfriso and Facca, 2007;Sfriso and Ghetti, 1998;Sorokin and Giovanardi, 1995). The dataset covers areas of the lagoon characterized by different residence times and productivities.…”

Section: Model Implementationmentioning

confidence: 99%

An inverse model for the analysis of the Venice lagoon food web

Brigolin

Savenkoff

Zucchetta

et al. 2011

Ecological Modelling

View full text Add to dashboard Cite

An ecological model of the Northern and Central Adriatic Sea: Analysis of ecosystem structure and fishing impacts

Cited by 180 publications

References 125 publications

Modelling ecosystem structure and trophic interactions in a typical cyanobacterial bloom-dominated shallow Lake Dianchi, China

Modelling ecosystem structure and trophic interactions in a typical cyanobacterial bloom-dominated shallow Lake Dianchi, China

Simulation of the combined effects of artisanal and recreational fisheries on a Mediterranean MPA ecosystem using a trophic model

An inverse model for the analysis of the Venice lagoon food web

Contact Info

Product

Resources

About