Uses of GBIF in scientific research

Peer-reviewed research citing GBIF as a data source, with at least one author from Tunisia.
Extracted from the Mendeley GBIF Public Library.

List of publications

  • Hattab, T., Albouy, C., Lasram, F., Somot, S., Le Loc'h, F., Leprieur, F., 2014.

    Towards a better understanding of potential impacts of climate change on marine species distribution: a multiscale modelling approach

    Global Ecology and Biogeography 23(12) 1417-1429.

    Aim: In this paper, we applied the concept of ‘hierarchical filters’ in community ecology to model marine species distribution at nested spatial scales. Location: Global, Mediterranean Sea and the Gulf of Gabes (Tunisia). Methods: We combined the predictions of bioclimatic envelope models (BEMs) and habitat models to assess the current distribution of 20 exploited marine species in the Gulf of Gabes. BEMs were first built at a global extent to account for the full range of climatic conditions encountered by a given species. Habitat models were then built using fine-grained habitat variables at the scale of the Gulf of Gabes.We also used this hierarchical filtering approach to project the future distribution of these species under both climate change (the A2 scenario implemented with the Mediterranean climatic model NEMOMED8) and habitat loss (the loss of Posidonia oceanica meadows) scenarios. Results: The hierarchical filtering approach predicted current species geographical ranges to be on average 56% smaller than those predicted using the BEMs alone. This pattern was also observed under the climate change scenario. Combining the habitat loss and climate change scenarios indicated that the magnitude of range shifts due to climate change was larger than from the loss of P. oceanica meadows. Main conclusions: Our findings emphasize that BEMs may overestimate current and future ranges of marine species if species–habitat relationships are not also considered.A hierarchical filtering approach that accounts for fine-grained habitat variables limits the uncertainty associated with model-based recommendations, thus ensuring their outputs remain applicable within the context of marine resource management.

    Keywords: climate change, correspondence, exploited species, habitat loss, hierarchical filtering, mediterranean sea, spatial scale, species distribution modelling, tarek hattab, ur 03agro1


  • Langar, H., Bouafif, C. & Ouerghi, A., 2014.

    CYSTOSEIRA SEDOIDES (DESFONTAINES) C. AGARDH DES COTES TUNISIENNES : ETAT ACTUEL DES CONNAISSANCES

    Proceedings of the 5th Mediterranean Symposium on Marine Vegetation.

    Cystoseira sedoides (Desfontaines) C. Agardh (Ochrophyta, fucales), est connue pour être endémique à la Méditerranée, cantonnée à la partie nord-africaine de la Méditerranée occidentale et à deux localités de Pantelleria (Sicile-Italie). La synthèse des données historiques disponibles sur la biogéographie de C. sedoides en Tunisie, confrontée aux résultats d’une prospection de l'infralittoral supérieur (0 - 4 m de profondeur) du littoral tunisien effectuée entre 2012 et 2014, a montré que l’espèce a connu une régression de sa distribution . La présence des peuplements de C. sedoides est limit ée au littoral Nord de la Tunisie, entre Melloula (frontière Nord Est Tuniso-algérienne) et Raf Raf, limite Ouest du Golfe de Tunis, avec des densités moyennes variables entre 15 et 41 individus/m². La variation des densités des peuplements semblerait être en relation avec l’importance des aménagements côtiers. La disparition de certaines stations anciennes, sur la côte Est de Tunisie, correspond en revanche, probablement ou certainement, à des erreurs de détermination.

    Keywords: Cystoseira sedoides, Tunisie, densité, distribution, régression