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| De Jode, Aurélien; David, Romain; Haguenauer, Anne; Cahill, Abigail E.; Erga, Zinovia; Guillemain, Dorian; Sartoretto, Stephane; Rocher, Caroline; Selva, Marjorie; Le Gall, Line; Féral, Jean-pierre; Chenuil, Anne. |
| Ecosystem engineering species alter the physical structure of their environment and can create or modify habitats, having a massive impact on local biodiversity. Coralligenous reefs are highly diverse habitats endemic to the Mediterranean Sea built by calcareous benthic organisms among which Crustose Coralline Algae are the main engineering species. We analyzed the diversity of Lithophyllum stictiforme or L. cabiochiae in coralligenous habitats combining a multiple barcode and a population genomics approach with seascape features. Population genomics allowed disentangling pure spatial effects from environmental effects. We found that these taxa form a complex of eight highly divergent cryptic species that are easily identifiable using classic barcode... |
| Tipo: Text |
Palavras-chave: Engineering species; Cryptic species; Ecological niche; Coralligenous habitats; Ecological differentiation; Crustose Coralline Algae. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00487/59859/63014.pdf |
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| Saucède, Thomas; Guillaumot, Charlène; Michel, Loic; Fabri-ruiz, Salomé; Bazin, Alexis; Cabessut, Marie; Garcia-berro, Aurora; Mateos, Amélie; Mathieu, Olivier; De Ridder, Chantal; Dubois, Philippe; Danis, Bruno; David, Bruno; Diaz, Angie; Lepoint, Gilles; Motreuil, Sébastien; Poulin, Elie; Féral, Jean-pierre. |
| In the Kerguelen Islands, the multiple effects of climate change are expected to impact coastal marine habitats. Species distribution models (SDM) can represent a convenient tool to predict the biogeographic response of species to climate change but biotic interactions are not considered in these models. Nevertheless, new species interactions can emerge in communities exposed to environmental changes and the structure of biotic interactions is directly related to the potential resilience of ecosystems. Trophic interaction studies can help predict species vulnerability to environmental changes using carbon (δ13C) and nitrogen (δ15N) stable isotope ratios to generate trophic models. Using new available data inputs, we generated robust SDM and trophic... |
| Tipo: Text |
Palavras-chave: Fisheries interactions; Sperm whale; Patagonian toothfish; Kerguelen; Depredation. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00592/70389/68471.pdf |
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