2 results for Amouroux, JM

  • Biological geography of the European seas: results from the MacroBen database

    Arvanitidis, C; Somerfield, PJ; Rumohr, H; Faulwetter, S; Valavanis, VD; Vasileiadou, A; Chatzigeorgiou, G; Vanden Berghe, E; Vanaverbeke, J; Labrune, C; Gremare, A; Zettler, ML; Kedra, M; Wlodarska-Kowalczuk, M; Aleffi, IF; Amouroux, JM; Anisimova, N; Bachelet, G; Buntzow, M; Cochrane, SJ; Costello, Mark; Craeymeersch, JA; Dahle, S; Degraer, S; Denisenko, S; Dounas, C; Duineveld, G; Emblow, CS; Escaravage, V; Fabri, M; Fleischer, D; Gray, JS; Heip, C (2009)

    Journal article
    The University of Auckland Library

    This study examines whether or not biogeographical and/or managerial divisions across the European seas can be validated using soft-bottom macrobenthic community data. The faunal groups used were: all macrobenthos groups, polychaetes, molluscs, crustaceans, echinoderms, sipunculans and the last 5 groups combined. In order to test the discriminating power of these groups, 3 criteria were used: (1) proximity, which refers to the expected closer faunal resemblance of adjacent areas relative to more distant ones; (2) randomness, which in the present context is a measure of the degree to which the inventories of the various sectors, provinces or regions may in each case be considered as a random sample of the inventory of the next largest province or region in a hierarchy of geographic scales; and (3) differentiation, which provides a measure of the uniqueness of the pattern. Results show that only polychaetes fulfill all 3 criteria and that the only marine biogeographic system supported by the analyses is the one proposed by Longhurst (1998). Energy fluxes and other interactions between the planktonic and benthic domains, acting over evolutionary time scales, can be associated with the multivariate pattern derived from the macrobenthos datasets. Third-stage multidimensional scaling ordination reveals that polychaetes produce a unique pattern when all systems are under consideration. Average island distance from the nearest coast, number of islands and the island surface area were the geographic variables best correlated with the community patterns produced by polychaetes. Biogeographic patterns suggest a vicariance model dominating over the founder-dispersal model except for the semi-closed regional seas, where a model substantially modified from the second option could be supported.

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  • MacroBen integrated database on benthic invertebrates of European continental shelves: a tool for large-scale analysis across Europe

    Vanden Berghe, E; Claus, S; Appeltans, W; Faulwetter, S; Arvanitidis, C; Somerfield, PJ; Aleffi, IF; Amouroux, JM; Anisimova, N; Bachelet, G; Cochrane, SJ; Costello, Mark; Craeymeersch, JA; Dahle, S; Degraer, S; Denisenko, S; Dounas, C; Duineveld, G; Emblow, CS; Escaravage, V; Fabri, M; Fleischer, D; Gremare, A; Herrmann, M; Hummel, H; Karakassis, I; Kedra, M; Kendall, MA; Kingston, P; Kotwicki, L; Labrune, C; Laudien, J; Nevrova, EL; Occhipinti-Ambrogi, A (2009)

    Journal article
    The University of Auckland Library

    We describe an integrated database on European macrobenthic fauna, developed within the framework of the European Network of Excellence MarBEF, and the data and data integration exercise that provided its content. A total of 44 datasets including 465 354 distribution records from soft-bottom macrobenthic species were uploaded into the relational MacroBen database, corresponding to 22 897 sampled stations from all European seas, and 7203 valid taxa. All taxonomic names were linked to the European Register of Marine Species, which was used as the taxonomic reference to standardise spelling and harmonise synonymy. An interface was created, allowing the user to explore, subselect, export and analyse the data by calculating different indices. Although the sampling techniques and intended use of the datasets varied tremendously, the integrated database proved to be robust, and an important tool for studying and understanding large-scale long-term distributions and abundances of marine benthic life. Crucial in the process was the willingness and the positive data-sharing attitude of the different data contributors. Development of a data policy that is highly aware of sensitivities and ownership issues of data providers was essential in the creation of this goodwill.

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