| one publication added to basket [101365] | 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. (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. European Marine Biology Symposia, 38. Developments in Hydrobiology, 183. ISBN 1-4020-4321-X. XV, 353 pp. https://dx.doi.org/10.1007/1-4020-4697-9, more In: European Marine Biology Symposia., more |
| Available in | Authors | | Document type: Conference paper
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| Keywords | Accidents > Oil spills
Aquatic communities > Benthos
Environmental impact
Topographic features > Landforms > Coastal landforms > Rocky shores
Marine/Coastal | | 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. |
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