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An End-to-End Model Reveals Losers and Winners in a Warming Mediterranean Sea ArchiMer
Moullec, Fabien; Barrier, Nicolas; Drira, Sabrine; Guilhaumon, François; Marsaleix, Patrick; Somot, Samuel; Ulses, Caroline; Velez, Laure; Shin, Yunne-jai.
The Mediterranean Sea is now recognized as a hotspot of global change, ranking among the fastest warming ocean regions. In order to project future plausible scenarios of marine biodiversity at the scale of the whole Mediterranean basin, the current challenge is to develop an explicit representation of the multispecies spatial dynamics under the combined influence of fishing pressure and climate change. Notwithstanding the advanced state-of-the-art modeling of food webs in the region, no previous studies have projected the consequences of climate change on marine ecosystems in an integrated way, considering changes in ocean dynamics, in phyto- and zoo-plankton productions, shifts in Mediterranean species distributions and their trophic interactions at the...
Tipo: Text Palavras-chave: Biodiversity scenario; Climate change; Ecosystem model; End-to-end model; OSMOSE; Fishing; Mediterranean Sea.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00504/61557/65469.pdf
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Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts ArchiMer
Moullec, Fabien; Velez, Laure; Verley, Philippe; Barrier, Nicolas; Ulses, Caroline; Carbonara, Pierluigi; Esteban, Antonio; Follesa, Cristina; Gristina, Michele; Jadaud, Angelique; Ligas, Alessandro; Díaz, Eduardo López; Maiorano, Porzia; Peristeraki, Panagiota; Spedicato, Maria Teresa; Thasitis, Ioannis; Valls, Maria; Guilhaumon, François; Shin, Yunne-jai.
The Mediterranean Sea is one of the main hotspots of marine biodiversity in the world. The combined pressures of fishing activity and climate change have also made it a hotspot of global change amidst increasing concern about the worsening status of exploited marine species. To anticipate the impacts of global changes in the Mediterranean Sea, more integrated modelling approaches are needed, which can then help policymakers prioritize management actions and formulate strategies to mitigate impacts and adapt to changes. The aim of this study was to develop a holistic model of marine biodiversity in the Mediterranean Sea with an explicit representation of the spatial, multispecies dynamics of exploited resources subject to the combined influence of climate...
Tipo: Text Palavras-chave: Ecosystem model; Ecosystem Approach to Fisheries Management; OSMOSE model; NEMOMED model; Eco3M-S model; Global change.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00512/62408/66668.pdf
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FishMed: traits, phylogeny, current and projected species distribution of Mediterranean fishes, and environmental data ArchiMer
Albouy, Camille; Lasram, Frida Ben Rais; Velez, Laure; Guilhaumon, François; Meynard, Christine N.; Boyer, Séverine; Benestan, Laura; Mouquet, Nicolas; Douzery, Emmanuel; Aznar, Roland; Troussellier, Marc; Somot, Samuel; Leprieur, Fabien; Le Loc'H, François; Mouillot, David.
The FishMed database provides traits, phylogeny, current and projected species distribution of Mediterranean fishes, and associated sea surface temperature (SST) from the regional oceanic model NEMOMED8. Data for the current geographical distributions of 635 Mediterranean fish species were compiled from a published expert knowledge atlas of fishes of the northern Atlantic and the Mediterranean (FNAM) edited between 1984 and 1986 and from an updated exotic fish species list. Two future sets of projected species distributions were obtained for the middle and end of the 21st century by using an ensemble forecasting approach for 288 coastal Mediterranean fish species based on SST according to the IPPC/SRES A2 scenario implemented with the Mediterranean...
Tipo: Text Palavras-chave: Climate change; Coastal fishes; Functional diversity; Mediterranean fish species; Mediterranean Sea; NEMOMED8; Phylogenetic diversity; Species distribution models; Taxonomic diversity.
Ano: 2015 URL: https://archimer.ifremer.fr/doc/00371/48216/48341.pdf
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sars: an R package for fitting, evaluating and comparing species–area relationship models ArchiMer
Matthews, Thomas J.; Triantis, Kostas; Whittaker, Robert J.; Guilhaumon, François.
The species–area relationship (SAR) constitutes one of the most general ecological patterns globally. A number of different SAR models have been proposed. Recent work has shown that no single model universally provides the best fit to empirical SAR datasets: multiple models may be of practical and theoretical interest. However, there are no software packages available that a) allow users to fit the full range of published SAR models, or b) provide functions to undertake a range of additional SAR‐related analyses. To address these needs, we have developed the R package ‘sars’ that provides a wide variety of SAR‐related functionality. The package provides functions to: a) fit 20 SAR models using non‐linear and linear regression, b) calculate multi‐model...
Tipo: Text Palavras-chave: Diversity-area relationship; Island biogeography; Species-area relationship.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00485/59689/62771.pdf
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