摘要: The Australian River Assessment System (AUSRIVAS or AusRivAS) is a national biomonitoring scheme that supposedly assesses the ‘biological health’ of rivers. AUSRIVAS outputs observed-over-expected (O/E) indices derived from macroinvertebrate survey data obtained both at site to be assessed and designated reference sites. However, sites lack any consistent quantified status, and, therefore, O/E have no particular meaning. Moreover, many studies found weak inconsistent indicator exposure anthropogenic human-influenced stressors. Poor performance by may relate numerous factors including following: (1) variable reference-site (2) inappropriate model predictors, (3) limitations indices, (4) inconstant sampling methods, (5) neglect non-seasonal temporal variability. Ephemeroptera–Plecoptera–Trichoptera (EPT) stream invertebrate grade number – average level (SIGNAL) provide alternatives often outperformed in comparative tests. In addition, bioassessment rivers might advanced development diagnostic methods identify stressors causing ecological impact rather than merely infer intensity assign quality ratings assessment
sci-hub.st 参考文章(89)
S. A. Halse, M. D. Scanlon, J. S. Cocking, M. J. Smith, W. R. Kay, Factors affecting river health and its assessment over broad geographic ranges: The Western Australian experience Environmental Monitoring and Assessment. ,vol. 134, pp. 161- 175 ,(2007) , 10.1007/S10661-007-9607-4
Jane E. Growns, Bruce C. Chessman, Jean E. Jackson, David G. Ross, Rapid Assessment of Australian Rivers Using Macroinvertebrates: Cost and Efficiency of 6 Methods of Sample Processing Journal of the North American Benthological Society. ,vol. 16, pp. 682- 693 ,(1997) , 10.2307/1468153
Raphael D. Mazor, Alison H. Purcell, Vincent H. Resh, Long-Term Variability in Bioassessments: A Twenty-Year Study from Two Northern California Streams Environmental Management. ,vol. 43, pp. 1269- 1286 ,(2009) , 10.1007/S00267-009-9294-8
Michael R. Meador, Daren M. Carlisle, Predictive Models for Fish Assemblages in Eastern U.S. Streams: Implications for Assessing Biodiversity Transactions of the American Fisheries Society. ,vol. 138, pp. 725- 740 ,(2009) , 10.1577/T08-132.1
Kelly O. Maloney, Jack W. Feminella, Richard M. Mitchell, Stephanie A. Miller, Patrick J. Mulholland, Jeffrey N. Houser, Landuse legacies and small streams: identifying relationships between historical land use and contemporary stream conditions Journal of The North American Benthological Society. ,vol. 27, pp. 280- 294 ,(2008) , 10.1899/07-070.1
Kevin J. Collier, Mark P. Hamer, Ecological response differentials: An alternative benchmark to inform stream and river bioassessment Freshwater Biology. ,vol. 58, pp. 1471- 1483 ,(2013) , 10.1111/FWB.12145
Leon Metzeling, Bruce Chessman, Rodney Hardwick, Vera Wong, Rapid assessment of rivers using macroinvertebrates: the role of experience, and comparisons with quantitative methods Hydrobiologia. ,vol. 510, pp. 39- 52 ,(2003) , 10.1023/B:HYDR.0000008500.34301.A0
Susan J Nichols, Wayne A Robinson, Richard H Norris, None, Using the reference condition maintains the integrity of a bioassessment program in a changing climate. Journal of The North American Benthological Society. ,vol. 29, pp. 1459- 1471 ,(2010) , 10.1899/09-165.1
Patty L. Kitchin, Measuring the amount of statistical information in the EPT index Environmetrics. ,vol. 16, pp. 51- 59 ,(2005) , 10.1002/ENV.670
Bruce C. Chessman, Meredith J. Royal, Bioassessment without reference sites: use of environmental filters to predict natural assemblages of river macroinvertebrates Journal of The North American Benthological Society. ,vol. 23, pp. 599- 615 ,(2004) , 10.1899/0887-3593(2004)023<0599:BWRSUO>2.0.CO;2