Assessing the effects of multiple stressors on the functioning of Mediterranean rivers using poplar wood breakdown.
Identifieur interne : 002C00 ( Main/Exploration ); précédent : 002B99; suivant : 002C01Assessing the effects of multiple stressors on the functioning of Mediterranean rivers using poplar wood breakdown.
Auteurs : Ibon Aristi [Espagne] ; Jose Ramon Díez ; Aitor Larra Aga ; Alícia Navarro-Ortega ; Damià Barcel ; Arturo ElosegiSource :
- The Science of the total environment [ 1879-1026 ] ; 2012.
Descripteurs français
- KwdFr :
- Activités humaines (MeSH), Animaux (MeSH), Bois (métabolisme), Diatomées (effets des médicaments et des substances chimiques), Espagne (MeSH), Facteurs temps (MeSH), Invertébrés (effets des médicaments et des substances chimiques), Modèles théoriques (MeSH), Polluants chimiques de l'eau (analyse), Polluants chimiques de l'eau (toxicité), Populus (métabolisme), Qualité de l'eau (MeSH), Rivières (composition chimique), Surveillance de l'environnement (méthodes), Surveillance de l'environnement (économie), Écosystème (MeSH).
- MESH :
- analyse : Polluants chimiques de l'eau.
- composition chimique : Rivières.
- effets des médicaments et des substances chimiques : Diatomées, Invertébrés.
- métabolisme : Bois, Populus.
- méthodes : Surveillance de l'environnement.
- toxicité : Polluants chimiques de l'eau.
- économie : Surveillance de l'environnement.
- Activités humaines, Animaux, Espagne, Facteurs temps, Modèles théoriques, Qualité de l'eau, Écosystème.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Animals (MeSH), Diatoms (drug effects), Ecosystem (MeSH), Environmental Monitoring (economics), Environmental Monitoring (methods), Human Activities (MeSH), Invertebrates (drug effects), Models, Theoretical (MeSH), Populus (metabolism), Rivers (chemistry), Spain (MeSH), Time Factors (MeSH), Water Pollutants, Chemical (analysis), Water Pollutants, Chemical (toxicity), Water Quality (MeSH), Wood (metabolism).
- MESH :
- chemical , analysis : Water Pollutants, Chemical.
- chemical , toxicity : Water Pollutants, Chemical.
- geographic : Spain.
- chemistry : Rivers.
- drug effects : Diatoms, Invertebrates.
- economics : Environmental Monitoring.
- metabolism : Populus, Wood.
- methods : Environmental Monitoring.
- Animals, Ecosystem, Human Activities, Models, Theoretical, Time Factors, Water Quality.
Abstract
Mediterranean rivers in the Iberian Peninsula are being increasingly affected by human activities, which threaten their ecological status. A clear picture of how do these multiple stressors affect river ecosystem functioning is still lacking. We addressed this question by measuring a key ecosystem process, namely breakdown of organic matter, at 66 sites distributed across Mediterranean Spain. We performed breakdown experiments by measuring the mass lost by wood sticks for 54 to 106 days. Additionally, we gathered data on physico-chemical, biological and geomorphological characteristics of study sites. Study sites spanned a broad range of environmental characteristics and breakdown rates varied fiftyfold across sites. No clear geographic patterns were found between or within basins. 90th quantile regressions performed to link breakdown rates with environmental characteristics included the following 7 variables in the model, in decreasing order of importance: altitude, water content in phosphorus, catchment area, toxicity, invertebrate-based biotic index, riparian buffer width, and diatom-based quality index. Breakdown rate was systematically low in high-altitude rivers with few human impacts, but showed a high variability in areas affected by human activity. This increase in variability is the result of the influence of multiple stressors acting simultaneously, as some of these can promote whereas others slow down the breakdown of organic matter. Therefore, stick breakdown gives information on the intensity of a key ecosystem process, which would otherwise be very difficult to predict based on environmental variables.
DOI: 10.1016/j.scitotenv.2012.06.040
PubMed: 22781304
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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(toxicité)</term><term>Populus (métabolisme)</term><term>Qualité de l'eau (MeSH)</term><term>Rivières (composition chimique)</term><term>Surveillance de l'environnement (méthodes)</term><term>Surveillance de l'environnement (économie)</term><term>Écosystème (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" type="chemical" qualifier="toxicity" xml:lang="en"><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Polluants chimiques de l'eau</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Rivers</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Rivières</term></keywords><keywords scheme="MESH" qualifier="drug effects" 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A clear picture of how do these multiple stressors affect river ecosystem functioning is still lacking. We addressed this question by measuring a key ecosystem process, namely breakdown of organic matter, at 66 sites distributed across Mediterranean Spain. We performed breakdown experiments by measuring the mass lost by wood sticks for 54 to 106 days. Additionally, we gathered data on physico-chemical, biological and geomorphological characteristics of study sites. Study sites spanned a broad range of environmental characteristics and breakdown rates varied fiftyfold across sites. No clear geographic patterns were found between or within basins. 90th quantile regressions performed to link breakdown rates with environmental characteristics included the following 7 variables in the model, in decreasing order of importance: altitude, water content in phosphorus, catchment area, toxicity, invertebrate-based biotic index, riparian buffer width, and diatom-based quality index. Breakdown rate was systematically low in high-altitude rivers with few human impacts, but showed a high variability in areas affected by human activity. This increase in variability is the result of the influence of multiple stressors acting simultaneously, as some of these can promote whereas others slow down the breakdown of organic matter. Therefore, stick breakdown gives information on the intensity of a key ecosystem process, which would otherwise be very difficult to predict based on environmental variables.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22781304</PMID><DateCompleted><Year>2013</Year><Month>04</Month><Day>25</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>440</Volume><PubDate><Year>2012</Year><Month>Dec</Month><Day>01</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>Assessing the effects of multiple stressors on the functioning of Mediterranean rivers using poplar wood breakdown.</ArticleTitle><Pagination><MedlinePgn>272-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2012.06.040</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(12)00866-2</ELocationID><Abstract><AbstractText>Mediterranean rivers in the Iberian Peninsula are being increasingly affected by human activities, which threaten their ecological status. A clear picture of how do these multiple stressors affect river ecosystem functioning is still lacking. We addressed this question by measuring a key ecosystem process, namely breakdown of organic matter, at 66 sites distributed across Mediterranean Spain. We performed breakdown experiments by measuring the mass lost by wood sticks for 54 to 106 days. Additionally, we gathered data on physico-chemical, biological and geomorphological characteristics of study sites. Study sites spanned a broad range of environmental characteristics and breakdown rates varied fiftyfold across sites. No clear geographic patterns were found between or within basins. 90th quantile regressions performed to link breakdown rates with environmental characteristics included the following 7 variables in the model, in decreasing order of importance: altitude, water content in phosphorus, catchment area, toxicity, invertebrate-based biotic index, riparian buffer width, and diatom-based quality index. Breakdown rate was systematically low in high-altitude rivers with few human impacts, but showed a high variability in areas affected by human activity. This increase in variability is the result of the influence of multiple stressors acting simultaneously, as some of these can promote whereas others slow down the breakdown of organic matter. Therefore, stick breakdown gives information on the intensity of a key ecosystem process, which would otherwise be very difficult to predict based on environmental variables.</AbstractText><CopyrightInformation>Copyright © 2012 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Aristi</LastName><ForeName>Ibon</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Faculty of Sciences and Technology, University of the Basque Country, PO BOX 644, 48080 Bilbao, Spain. ibon.aristi@ehu.es</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Díez</LastName><ForeName>Jose Ramon</ForeName><Initials>JR</Initials></Author><Author ValidYN="Y"><LastName>Larrañaga</LastName><ForeName>Aitor</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Navarro-Ortega</LastName><ForeName>Alícia</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Barceló</LastName><ForeName>Damià</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Elosegi</LastName><ForeName>Arturo</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType 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effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="N">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006802" MajorTopicYN="N">Human Activities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007448" MajorTopicYN="N">Invertebrates</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D045483" 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