IMIS | Flanders Marine Institute
 

Flanders Marine Institute

Platform for marine research

IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Printer-friendly version

Using asymmetrical designs for environmental impact assessment of unplanned disturbances
Queiroz, N.C.; Lima, F.P.; Ribeiro, P.A.; Pereira, S.G.; Santos, A.M. (2006). Using asymmetrical designs for environmental impact assessment of unplanned disturbances, in: Queiroga, H. et al. (Ed.) Marine biodiversity: patterns and processes, assessment, threats, management and conservation: Proceedings of the 38th European Marine Biology Symposium, held in Aveiro, Portugal, 8-12 September 2003. Developments in Hydrobiology, 183: pp. 223-227. dx.doi.org/10.1007/s10750-005-1118-0
In: Queiroga, H. et al. (Ed.) (2006). Marine biodiversity: patterns and processes, assessment, threats, management and conservation: Proceedings of the 38th European Marine Biology Symposium, held in Aveiro, Portugal, 8-12 September 2003. Developments in Hydrobiology, 183. Springer: Dordrecht. ISBN 1-4020-4321-X. XV, 353 pp., more
In: Dumont, H.J. (Ed.) Developments in Hydrobiology. Kluwer Academic/Springer: The Hague; London; Boston; Dordrecht. ISSN 0167-8418, more

Available in Authors 
Document type: Conference paper

Keywords
    Benthos; Environmental impact; Oil spills; Rocky shores; Marine
Author keywords
    beyond BACI; impact assessment; oil spill; rocky shores; macrobenthic fauna

Authors  Top 
  • Queiroz, N.C.
  • Lima, F.P.
  • Ribeiro, P.A.
  • Pereira, S.G.
  • Santos, A.M.

Abstract
    Environmental impact assessment of unplanned disturbances is often difficult to accomplish due to the absence of ‘before’ data for the impacted sites. In an attempt to overcome this problem, a beyond BACI model is used in order to detect possible changes in the temporal patterns of variation when no previous data are available. The model attempted to detect changes in the abundance of macroinvertebrate species inhabiting the intertidal mussel matrix after an oil spill which occurred in northern Portugal. The detection of a significant impact failed, most probably due to low temporal replication. An extension of the analysis, including the hierarchical arrangement of temporal variability in periods, suggests that increasing the number of sampling times may result in a higher efficiency of the model.

All data in IMIS is subject to the VLIZ privacy policy Top | Authors