Considerations when Using the Reference Condition Approach for Bioassessment of Freshwater Ecosystems

2005 ◽  
Vol 40 (3) ◽  
pp. 347-360 ◽  
Author(s):  
Michelle F. Bowman ◽  
Keith M. Somers

Abstract The use of the reference condition approach (RCA) in environmental assessments is becoming more prevalent. Although the RCA was not explicitly described in Green's (1979) book on statistical methods for environmental biologists, we expanded his decision key for selecting an appropriate environmental study design to include this approach. The RCA compares the biological community at a potentially impacted ‘test’ site to communities found in minimally impacted ‘reference’ sites. However, to implement the RCA there are a number of assumptions and decisions that must be made. We compare several common multimetric and multivariate bioassessment methods to illustrate that four key decisions inherent in the RCA framework (i.e., criteria used for reference site selection, for grouping similar reference sites, for comparing test and reference sites, and for evaluating the cause of impacts) can markedly affect test site appraisals. Specific guidelines should be developed to select appropriate reference sites. Based on analyses of real and simulated data, we recommend a minimum of 20, but preferably 30 to 50 reference sites per group, and verification of groupings with more than one classification method. New approaches (e.g., test site analysis) incorporating the strengths of both multimetric and multivariate methods can be used to compare test and reference sites. Additional ecological information, models relating degree of impact to a stressor or habitat gradient, and variance partitioning can also be used to isolate the probable cause of impairment, and are particularly valuable when appropriate reference sites are unavailable.

2011 ◽  
Vol 101 (1) ◽  
pp. 207-213 ◽  
Author(s):  
Pilar Rodriguez ◽  
Zuriñe Maestre ◽  
Maite Martinez-Madrid ◽  
Trefor B. Reynoldson

2001 ◽  
Vol 58 (7) ◽  
pp. 1395-1410 ◽  
Author(s):  
T B Reynoldson ◽  
D M Rosenberg ◽  
V H Resh

A multivariate, predictive model based on the reference-condition approach is described for the Fraser River catchment in British Columbia. Benthic invertebrate assemblages and environmental descriptors were measured at more than 200 sites from 1994 to 1996, including 219 reference sites. Reference sites were classified into groups representing similar invertebrate assemblages. Five such classifications were produced, using three taxonomic levels (family, genus, and species) and species and family multimetrics. For each of the classifications, discriminant function analysis was used, with environmental descriptors, to develop a predictive model for the reference sites. These models predicted from 43.8% (species) to 61.6% (family) of the reference sites to the correct benthic group. Each model was used to assess deviation from reference condition for 21 test sites exposed to either agriculture, logging, or mining. The models were examined with regard to their sensitivity, robustness, usability, temporal variability, predictive performance, and model certainty. The family and family-metric models were ranked best, followed by the species-metric, genus, and species models. The family-level model is recommended for assessment purposes; its overall performance was slightly superior to the family-metric model and it avoids an extra step in calculation of the metrics. However, the species-level model is recommended for conservation or biodiversity issues.


2001 ◽  
Vol 58 (7) ◽  
pp. 1411-1417 ◽  
Author(s):  
Pamela F Reece ◽  
Trefor B Reynoldson ◽  
John S Richardson ◽  
David M Rosenberg

Reference-condition models for the Fraser River catchment were developed using samples collected during the autumn of 1994, 1995, and 1996. The goal of this study was to examine applicability to the reference-condition models of samples collected in other seasons and the effect of taxonomic resolution (genus and family) on model sensitivity to seasonal variation in the benthic invertebrate assemblage. Samples from eight streams representing interior, coastal, and large-river habitats were collected in spring, summer, autumn, and winter of 1995 and in spring of 1996. The benthic invertebrate assemblage changed seasonally such that the models could not be used for seasons other than autumn. The models were equally sensitive to seasonal variation when genus-level or family-level data were used. We recommend that test samples (i.e., samples collected from disturbed sites and meant for comparison with the reference database) be collected either during the autumn or over multiple sampling dates to reduce the possibility that seasonal shifts or stochastic events will lead to erroneous conclusions about the state of a test site.


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