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A regional GIS for benthic diversity and environmental impact studies in the Gulf of Trieste, Italy
Solis-Weiss, V.; Rossin, P.; Aleffi, F.; Bettoso, N.; Fonda Umani, S. (2002). A regional GIS for benthic diversity and environmental impact studies in the Gulf of Trieste, Italy, in: Brown, M. et al. The Colour of Ocean Data: International Symposium on oceanographic data and information management, with special attention to biological data. Brussels, Belgium, 25-27 November 2002: book of abstracts. VLIZ Special Publication, 11: pp. 85
In: Brown, M. et al. (2002). The Colour of Ocean Data: International Symposium on oceanographic data and information management, with special attention to biological data. Brussels, Belgium, 25-27 November 2002: book of abstracts. VLIZ Special Publication, 11. Flanders Marine Institute (VLIZ): Oostende. XI, 93 pp., meer
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, meer

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Documenttype: Samenvatting

Trefwoord
    Marien/Kust

Auteurs  Top | Dataset 
  • Solis-Weiss, V., meer
  • Rossin, P., meer
  • Aleffi, F.
  • Bettoso, N.
  • Fonda Umani, S.

Abstract
    The aim of this study was to build a database and apply GIS techniques with data obtained from 1966 to 2001 in the Gulf of Trieste, in order to determine, for management purposes, the diversity, distribution and evolution in time and space of the local macrofauna in this heavily anthropized region. The application to marine environments of modern tools such as GIS techniques to evaluate biodiversity or sensitivity areas in environmental impact studies is still very limited in Italy. This, in spite of its proved capacity for synthesis and comprehensive visualization of complex interactions among the different components of an ecosystem, which makes it an increasingly sought-after tool for management or protection of the coastal zone. The macrobenthos, in turn, constitutes a most effective indicator of the recent history and health of any given aquatic habitat. A custom-built relational database was created compiling biological, physico-chemical and sedimentological data from 450 stations, 187 sampling sites and 20 projects. A total of 278,770 organisms from 691 species (Polychaetes: 145,950 individuals, 276 species; Mollusks: 100,432ind, 198sp; Crustaceans: 16,962ind, 109sp; Echinoderms: 10,181ind, 42sp; “Others”: 5,245ind, 66sp) were included. The methodological problems caused by different types of sampling gear and sieving used, as well as seasonal variability were solved, homogeneizing all data. Taxonomy was updated in all cases. Feeding guilds, biocoenotic characterization and Borja et al.’s (2000) Biotic Index were included for all the species where information existed. Interactive user-friendly operations as well as complex types of queries were also rendered possible and constant updatings are being carried out.All the surface analyses were performed using Surfer 7, Didger 2, Idrisi 32 and Cartalinx 1.2. The vectorial map supplied is in Arcview shape file. The reference system is UTM 33-N. Distributions of the specific abundance maps were interpolated using the inverse distance to a 2 power gridding method. The GIS analysis allowed us to individuate the main stress factors affecting the macrozoobenthic communities and determine the “sensitivity areas” based on intensity and persistence in time of the different disturbances (urban development, industrial and port activities, mariculture, fishing and tourism), as evidenced by their effect on the benthos. Severe impacts were evident in the eighties, while the application of ecological laws since then, seems to have had beneficial effects. The changes in time and space of the dominant species indicated the evolution of the bottom conditions in the Gulf. In this respect, the variations in distribution of the well-known instability indicator mollusk Corbula gibba was especially useful and helped to establish the resilience of the system.

Dataset
  • Aleffi, I. F., 2004: LBMRev dataset. Marine Biology Laboratory, University of Trieste, Italy, meer

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