Detecting anthropogenic stress in an ecosystem: 3. Mesoscale variability and biotic indices.
作者： Anna M. Chenery , Stephen M. Mudge
DOI: 10.1080/15275920500351825
关键词: Sewage 、 Ecosystem 、 Hydrology 、 Environmental science 、 Community structure 、 Pollution 、 Sediment 、 Mesoscale meteorology 、 Biotic index 、 Contamination
摘要: Previous work in the Ria Formosa Lagoon has revealed that it is possible to use macrofauna community structure as an indicator of contamination effects. Communities at sites adjacent sewage outfalls indicated but no pollution gradients were observed. In this study, within a sub-section earlier investigated determine extent mesoscale (10–100 m) variability and new indices biological structure. The results evaluated using univariate (Marine Biotic Index; BI) multivariate statistical methods (PCA). computer program Barrier (usually used with genetic data) was also applied detect “barriers” between spatially referenced samples. PCA identified most significant factor effecting distribution organisms study area be mud content sediment (% < 63 μm). sandy consisted suspension feeders detrital browsers, whilst communities muddy composed mainly deposit ...
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