The MEDiterranean Prediction And Classification System (MEDPACS): an implementation of the RIVPACS/AUSRIVAS predictive approach for assessing Mediterranean aquatic macroinvertebrate communities.
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| Title: | The MEDiterranean Prediction And Classification System (MEDPACS): an implementation of the RIVPACS/AUSRIVAS predictive approach for assessing Mediterranean aquatic macroinvertebrate communities. |
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| Authors: | Poquet, José1 jmpoquet@ugr.es, Alba-Tercedor, Javier1 jalba@ugr.es, Puntí, Tura2, Mar Sánchez-Montoya, Maria3, Robles, Santiago4, Álvarez, Maruxa5, Zamora-Muñoz, Carmen1, Sáinz-Cantero, Carmen1, Vidal-Abarca, Maria3, Suárez, Maria3, Toro, Manuel6, Pujante, Ana7, Rieradevall, Maria2, Prat, Narcís2 |
| Source: | Hydrobiologia. May2009, Vol. 623 Issue 1, p153-171. 19p. 1 Diagram, 4 Charts, 6 Graphs, 2 Maps. |
| Subjects: | Invertebrate communities, Regression analysis data processing, Analysis of variance, Water quality biological assessment, Environmental monitoring, Mathematical variables, Observed confidence levels (Statistics), Environmental indicators |
| Geographic Terms: | Mediterranean Region, Spain |
| Abstract: | In Spain, a national project known as GUADALMED, focusing on Mediterranean streams, has been carried out from 1998 to 2005 to implement the European water framework directive (WFD) requirements. One of the main objectives of the second phase of the project (2002–2005) was to develop a predictive system for the Spanish Mediterranean aquatic macroinvertebrate communities. A combined-season (spring, summer, and autumn) predictive model was developed by using the latest improvements on the selection of best predictor variables. Overall model performance measures were used to select the best discriminant function (DF) models, and also to evaluate their biases and precision. The final predictive model was based on the best five DF models. Each one of these models involved eight environmental variables. Final observed (O), expected (E), and O/E values for the number of macroinvertebrate families (NFAM) and two biotic indices (IBMWP and IASPT) were calculated by averaging their values, previously weighted by the quality of each DF model. Regression analyses among the final O and E values for the calibration dataset showed a high proximity to the ideal theoretical model, where the final E values explained 73–84% of the variation present in the macroinvertebrate communities of the Spanish Mediterranean watercourses. The ANOVA performed among the reference (calibration and validation) and test datasets showed clear differences for the O/E values. Finally, the assessments carried out by the predictive model were sensitive to anthropogenic pressure present in the study area and allowed the definition of five ecological status classes according to the WFD requirements. [ABSTRACT FROM AUTHOR] |
| Copyright of Hydrobiologia is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 36386104 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The MEDiterranean Prediction And Classification System (MEDPACS): an implementation of the RIVPACS/AUSRIVAS predictive approach for assessing Mediterranean aquatic macroinvertebrate communities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Poquet%2C+José%22">Poquet, José</searchLink><relatesTo>1</relatesTo><i> jmpoquet@ugr.es</i><br /><searchLink fieldCode="AR" term="%22Alba-Tercedor%2C+Javier%22">Alba-Tercedor, Javier</searchLink><relatesTo>1</relatesTo><i> jalba@ugr.es</i><br /><searchLink fieldCode="AR" term="%22Puntí%2C+Tura%22">Puntí, Tura</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mar+Sánchez-Montoya%2C+Maria%22">Mar Sánchez-Montoya, Maria</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Robles%2C+Santiago%22">Robles, Santiago</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Álvarez%2C+Maruxa%22">Álvarez, Maruxa</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Zamora-Muñoz%2C+Carmen%22">Zamora-Muñoz, Carmen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sáinz-Cantero%2C+Carmen%22">Sáinz-Cantero, Carmen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vidal-Abarca%2C+Maria%22">Vidal-Abarca, Maria</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Suárez%2C+Maria%22">Suárez, Maria</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Toro%2C+Manuel%22">Toro, Manuel</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Pujante%2C+Ana%22">Pujante, Ana</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Rieradevall%2C+Maria%22">Rieradevall, Maria</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Prat%2C+Narcís%22">Prat, Narcís</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Hydrobiologia%22">Hydrobiologia</searchLink>. May2009, Vol. 623 Issue 1, p153-171. 19p. 1 Diagram, 4 Charts, 6 Graphs, 2 Maps. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Invertebrate+communities%22">Invertebrate communities</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis+data+processing%22">Regression analysis data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality+biological+assessment%22">Water quality biological assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+variables%22">Mathematical variables</searchLink><br /><searchLink fieldCode="DE" term="%22Observed+confidence+levels+%28Statistics%29%22">Observed confidence levels (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+indicators%22">Environmental indicators</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Mediterranean+Region%22">Mediterranean Region</searchLink><br /><searchLink fieldCode="DE" term="%22Spain%22">Spain</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In Spain, a national project known as GUADALMED, focusing on Mediterranean streams, has been carried out from 1998 to 2005 to implement the European water framework directive (WFD) requirements. One of the main objectives of the second phase of the project (2002–2005) was to develop a predictive system for the Spanish Mediterranean aquatic macroinvertebrate communities. A combined-season (spring, summer, and autumn) predictive model was developed by using the latest improvements on the selection of best predictor variables. Overall model performance measures were used to select the best discriminant function (DF) models, and also to evaluate their biases and precision. The final predictive model was based on the best five DF models. Each one of these models involved eight environmental variables. Final observed (O), expected (E), and O/E values for the number of macroinvertebrate families (NFAM) and two biotic indices (IBMWP and IASPT) were calculated by averaging their values, previously weighted by the quality of each DF model. Regression analyses among the final O and E values for the calibration dataset showed a high proximity to the ideal theoretical model, where the final E values explained 73–84% of the variation present in the macroinvertebrate communities of the Spanish Mediterranean watercourses. The ANOVA performed among the reference (calibration and validation) and test datasets showed clear differences for the O/E values. Finally, the assessments carried out by the predictive model were sensitive to anthropogenic pressure present in the study area and allowed the definition of five ecological status classes according to the WFD requirements. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Hydrobiologia is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10750-008-9655-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 153 Subjects: – SubjectFull: Invertebrate communities Type: general – SubjectFull: Regression analysis data processing Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Water quality biological assessment Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Mathematical variables Type: general – SubjectFull: Observed confidence levels (Statistics) Type: general – SubjectFull: Environmental indicators Type: general – SubjectFull: Mediterranean Region Type: general – SubjectFull: Spain Type: general Titles: – TitleFull: The MEDiterranean Prediction And Classification System (MEDPACS): an implementation of the RIVPACS/AUSRIVAS predictive approach for assessing Mediterranean aquatic macroinvertebrate communities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Poquet, José – PersonEntity: Name: NameFull: Alba-Tercedor, Javier – PersonEntity: Name: NameFull: Puntí, Tura – PersonEntity: Name: NameFull: Mar Sánchez-Montoya, Maria – PersonEntity: Name: NameFull: Robles, Santiago – PersonEntity: Name: NameFull: Álvarez, Maruxa – PersonEntity: Name: NameFull: Zamora-Muñoz, Carmen – PersonEntity: Name: NameFull: Sáinz-Cantero, Carmen – PersonEntity: Name: NameFull: Vidal-Abarca, Maria – PersonEntity: Name: NameFull: Suárez, Maria – PersonEntity: Name: NameFull: Toro, Manuel – PersonEntity: Name: NameFull: Pujante, Ana – PersonEntity: Name: NameFull: Rieradevall, Maria – PersonEntity: Name: NameFull: Prat, Narcís IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 00188158 Numbering: – Type: volume Value: 623 – Type: issue Value: 1 Titles: – TitleFull: Hydrobiologia Type: main |
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