@article{piroddi_modelling_2022,

title = {Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region},

author = {Chiara Piroddi and Marta Coll and Diego Macias and Jeroen Steenbeek and Elisa Garcia-Gorriz and Alessandro Mannini and Daniel Vilas and Villy Christensen},

url = {https://www.nature.com/articles/s41598-022-18017-x},

doi = {10.1038/s41598-022-18017-x},

issn = {2045-2322},

year  = {2022},

date = {2022-11-01},

urldate = {2022-11-19},

journal = {Scientific Reports},

volume = {12},

number = {1},

pages = {19680},

abstract = {Cumulative pressures are rapidly expanding in the Mediterranean Sea with consequences for marine biodiversity and marine resources, and the services they provide. Policy makers urge for a marine ecosystem assessment of the region in space and time. This study evaluates how the whole Mediterranean food web may have responded to historical changes in the climate, environment and fisheries, through the use of an ecosystem modelling over a long time span (decades) at high spatial resolution (8 × 8 km), to inform regional and sub-regional management. Results indicate coastal and shelf areas to be the sites with highest marine biodiversity and marine resources biomass, which decrease towards the south-eastern regions. High levels of total catches and discards are predicted to be concentrated in the Western sub-basin and the Adriatic Sea. Mean spatial\textendashtemporal changes of total and commercial biomass show increases in offshore waters of the region, while biodiversity indicators show marginal changes. Total catches and discards increase greatly in offshore waters of the Western and Eastern sub-basins. Spatial patterns and temporal mean changes of marine biodiversity, community biomasses and trophic indices, assessed in this study, aim at identifying areas and food web components that show signs of deterioration with the overall goal of assisting policy makers in designing and implementing spatial management actions for the region.},

note = {Number: 1 

Publisher: Nature Publishing Group},

keywords = {Climate sciences, ecological modelling, Ecology, Environmental impact, Ocean sciences, Zoology},

pubstate = {published},

tppubtype = {article}

}

@article{piroddiModellingMediterraneanSea2022,

title = {Modelling the Mediterranean Sea Ecosystem at High Spatial Resolution to Inform the Ecosystem-Based Management in the Region},

author = {Chiara Piroddi and Marta Coll and Diego Macias and Jeroen Steenbeek and Elisa Garcia-Gorriz and Alessandro Mannini and Daniel Vilas and Villy Christensen},

doi = {10.1038/s41598-022-18017-x},

issn = {2045-2322},

year  = {2022},

date = {2022-11-01},

urldate = {2024-01-18},

journal = {Scientific Reports},

volume = {12},

number = {1},

pages = {19680},

publisher = {Nature Publishing Group},

abstract = {Cumulative pressures are rapidly expanding in the Mediterranean Sea with consequences for marine biodiversity and marine resources, and the services they provide. Policy makers urge for a marine ecosystem assessment of the region in space and time. This study evaluates how the whole Mediterranean food web may have responded to historical changes in the climate, environment and fisheries, through the use of an ecosystem modelling over a long time span (decades) at high spatial resolution (8,×,8~km), to inform regional and sub-regional management. Results indicate coastal and shelf areas to be the sites with highest marine biodiversity and marine resources biomass, which decrease towards the south-eastern regions. High levels of total catches and discards are predicted to be concentrated in the Western sub-basin and the Adriatic Sea. Mean spatial\textendashtemporal changes of total and commercial biomass show increases in offshore waters of the region, while biodiversity indicators show marginal changes. Total catches and discards increase greatly in offshore waters of the Western and Eastern sub-basins. Spatial patterns and temporal mean changes of marine biodiversity, community biomasses and trophic indices, assessed in this study, aim at identifying areas and food web components that show signs of deterioration with the overall goal of assisting policy makers in designing and implementing spatial management actions for the region.},

keywords = {Climate sciences, ecological modelling, Ecology, Environmental impact, Ocean sciences, Zoology},

pubstate = {published},

tppubtype = {article}

}

@article{christensen_representing_2014b,

title = {Representing Variable Habitat Quality in a Spatial Food Web Model},

author = {V. Christensen and M. Coll and J. Steenbeek and J. Buszowski and D. Chagaris and C. J. Walters},

url = {http://link.springer.com/article/10.1007/s10021-014-9803-3},

doi = {10.1007/s10021-014-9803-3},

issn = {1432-9840, 1435-0629},

year  = {2014},

date = {2014-08-01},

urldate = {2014-08-01},

journal = {Ecosystems},

volume = {17},

number = {8},

pages = {1397--1412},

note = {00000},

keywords = {Ecology, Ecopath, Ecospace, Environmental Management, Food web model, foraging capacity model, Geoecology/Natural Processes, habitat modeling, Hydrology/Water Resources, Plant Sciences, sampling, simulation model, species distribution model, Zoology},

pubstate = {published},

tppubtype = {article}

}

@article{christensenRepresentingVariableHabitat2014,

title = {Representing Variable Habitat Quality in a Spatial Food Web Model},

author = {Villy Christensen and Marta Coll and Jeroen Steenbeek and Joe Buszowski and Dave Chagaris and Carl J. Walters},

doi = {10.1007/s10021-014-9803-3},

issn = {1432-9840, 1435-0629},

year  = {2014},

date = {2014-08-01},

urldate = {2014-09-19},

journal = {Ecosystems},

pages = {1\textendash16},

abstract = {Why are marine species where they are? The scientific community is faced with an urgent need to understand aquatic ecosystem dynamics in the context of global change. This requires development of scientific tools with the capability to predict how biodiversity, natural resources, and ecosystem services will change in response to stressors such as climate change and further expansion of fishing. Species distribution models and ecosystem models are two methodologies that are being developed to further this understanding. To date, these methodologies offer limited capabilities to work jointly to produce integrated assessments that take both food web dynamics and spatial-temporal environmental variability into account. We here present a new habitat capacity model as an implementation of the spatial-temporal model Ecospace of the Ecopath with Ecosim approach. The new model offers the ability to drive foraging capacity of species from the cumulative impacts of multiple physical, oceanographic, and environmental factors such as depth, bottom type, temperature, salinity, oxygen concentrations, and so on. We use a simulation modeling procedure to evaluate sampling characteristics of the new habitat capacity model. This development bridges the gap between envelope environmental models and classic ecosystem food web models, progressing toward the ability to predict changes in marine ecosystems under scenarios of global change and explicitly taking food web direct and indirect interactions into account.},

keywords = {Ecology, Ecopath, Ecospace, Environmental Management, Food web model, foraging capacity model, Geoecology/Natural Processes, habitat modeling, Hydrology/Water Resources, Plant Sciences, sampling, simulation model, species distribution model, Zoology},

pubstate = {published},

tppubtype = {article}

}