ENV330H5 Lecture Notes - Lecture 4: Bioaccumulation, Dna Barcoding, Geomorphology
Document Summary
Metrics feeding ecology, life history, morphology, tolerance to contaminants, etc. indicate biological processes, adaptations/ responses to stressors. Act at multiple spatial & temporal scales this doesn"t account for natural variation in the benthic community due to habitat variability. Solution: create a predictive model of the expected communities over range of habitats. Looks for collinearity/covariance in a data set can visualize relationships (i. e. , species that tend to co-occur; changes in relative abundance etc. ) in various communities. Can code different sites based on contaminant status to see clusters of community types. Creates 2 or 3 synthetic variables that describe major trends of variation in the data. Functional responses of laboratory organisms in toxicity tests. Physical and chemical attributes of the sediment and overlying water. What kind of community would you expect to be there in the absence of anthropogenic stressor(s) . Measure indicators of exposure to the stressor (e. g. , bioaccumulation of contaminants, biomarkers)
