How Much Is Too Little to Detect Impacts? A Case Study of a Nuclear Power Plant
Author(s) -
Mariana MayerPinto,
Barbara L. Ignacio,
Maria Tereza Menezes de Széchy,
Mariana S. Viana,
Maria Patricia CurbeloFernandez,
Helena Passeri Lavrado,
Andréa de Oliveira Ribeiro Junqueira,
Eduardo Vilanova,
Sérgio Henrique Godinho Silva
Publication year - 2012
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0047871
Subject(s) - effluent , environmental science , sampling (signal processing) , species richness , statistical power , sample size determination , distance decay , abundance (ecology) , ecology , statistics , physical geography , biology , computer science , geography , mathematics , environmental engineering , filter (signal processing) , computer vision
Several approaches have been proposed to assess impacts on natural assemblages. Ideally, the potentially impacted site and multiple reference sites are sampled through time, before and after the impact. Often, however, the lack of information regarding the potential overall impact, the lack of knowledge about the environment in many regions worldwide, budgets constraints and the increasing dimensions of human activities compromise the reliability of the impact assessment. We evaluated the impact, if any, and its extent of a nuclear power plant effluent on sessile epibiota assemblages using a suitable and feasible sampling design with no ‘before’ data and budget and logistic constraints. Assemblages were sampled at multiple times and at increasing distances from the point of the discharge of the effluent. There was a clear and localized effect of the power plant effluent (up to 100 m from the point of the discharge). However, depending on the time of the year, the impact reaches up to 600 m. We found a significantly lower richness of taxa in the Effluent site when compared to other sites. Furthermore, at all times, the variability of assemblages near the discharge was also smaller than in other sites. Although the sampling design used here (in particular the number of replicates) did not allow an unambiguously evaluation of the full extent of the impact in relation to its intensity and temporal variability, the multiple temporal and spatial scales used allowed the detection of some differences in the intensity of the impact, depending on the time of sampling. Our findings greatly contribute to increase the knowledge on the effects of multiple stressors caused by the effluent of a power plant and also have important implications for management strategies and conservation ecology, in general.
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