2011
DOI: 10.1002/iroh.201111376
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Predictive Models for Freshwater Biological Assessment: Statistical Approaches, Biological Elements and the Iberian Peninsula Experience: A Review

Abstract: In the last three decades, predictive models have been developed and applied worldwide for freshwater bioassessment. They consist of statistical tools that follow the concept of the Reference Condition Approach. Composed of several sequential steps, these assessment tools assess the deviation of given site assemblages from the expected biological condition in the absence of human disturbance. The most common approaches (RIVPACS/AUSRIVAS and BEAST) are based on a posteriori classifications that use the biologic… Show more

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Cited by 32 publications
(23 citation statements)
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“…These organisms are also sensitive to physical and chemical changes in different ecosystems and their responses to these changes are detectable and measurable (Barbour et al, 1996;Moreno and Callisto, 2006). Currently, the macroinvertebrate community has also been used to design predictive ecological tools, as has often occurred in European and U.S countries (Bonada et al, 2006;Feio and Poquet, 2011;Berthon et al, 2011;Smith et al, 1999;Demars et al, 2012). In Brazil, some studies have been performed on rivers (Baptista et al, 2007;Oliveira et al, 2011) and reservoirs (Molozzi et al, 2012(Molozzi et al, , 2013.…”
Section: Introductionmentioning
confidence: 99%
“…These organisms are also sensitive to physical and chemical changes in different ecosystems and their responses to these changes are detectable and measurable (Barbour et al, 1996;Moreno and Callisto, 2006). Currently, the macroinvertebrate community has also been used to design predictive ecological tools, as has often occurred in European and U.S countries (Bonada et al, 2006;Feio and Poquet, 2011;Berthon et al, 2011;Smith et al, 1999;Demars et al, 2012). In Brazil, some studies have been performed on rivers (Baptista et al, 2007;Oliveira et al, 2011) and reservoirs (Molozzi et al, 2012(Molozzi et al, , 2013.…”
Section: Introductionmentioning
confidence: 99%
“…Usually, the predictive modelling step is performed with general linear models -from multivariate discriminant function analysis to logistic regressions. Predictive models based upon Artificial Intelligence, such as Artificial Neural Networks or Bayesian Belief Networks, have also been proposed (Feio and Poquet 2011). Among the indices calculated in step (5), the O/E ratio of observed to expected taxon richness is one of the most used.…”
Section: Predictive Models In Freshwater Biomonitoringmentioning
confidence: 99%
“…Biological assessments are generally based on measurements of attributes of biological assemblages, which are often characterized and expressed as indices. Different types of indices have been developed (Hawkins et al 2010, Feio & Poquet 2011, Herman & Nejadhashemi 2015, but most of these methods share the need to use a benchmark (i.e. a reference condition), from which the measured biological condition will be compared.…”
Section: Introductionmentioning
confidence: 99%