Index models to evaluate the risk of phosphorus and nitrogen loss at catchment scales
This paper investigates index models as a tool to estimate the risk of N and P source strengths and loss at the catchment scale. The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrien...
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Veröffentlicht in: | Journal of environmental management 2011-03, Vol.92 (3), p.639-649 |
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description | This paper investigates index models as a tool to estimate the risk of N and P source strengths and loss at the catchment scale. The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrient concentrations) and transport risk factors (e.g. distance-to-streams) are used to determine the overall risk of nutrient loss for a case study in the Tuross River catchment of coastal southeast Australia. In the development of the N index model for Tuross, particulate N was considered important based on the observed event water quality data. In contrast to previous N index models, erosion and contributing distance were therefore included in the Tuross River catchment N index. Event-based water quality monitoring, and soil information, or in data-poor catchments conceptual understanding, are essential to represent catchment-scale processes. The techniques have high applicability in other catchments, and are complementary to other modelling techniques such as process-based semi-distributed modelling. Index models generally provide much more detailed spatial resolution than fully- or semi-distributed conceptual modelling approaches. Semi-distributed models can be used to quantify nutrient loads and provide overall direction to set the broad focus of management. Index models can then be used to refine on-the-ground investigations and investment priorities. In this way semi-distributed models can be combined with index models to provide a set of powerful tools to influence management decisions and outcomes. |
doi_str_mv | 10.1016/j.jenvman.2010.10.001 |
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The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrient concentrations) and transport risk factors (e.g. distance-to-streams) are used to determine the overall risk of nutrient loss for a case study in the Tuross River catchment of coastal southeast Australia. In the development of the N index model for Tuross, particulate N was considered important based on the observed event water quality data. In contrast to previous N index models, erosion and contributing distance were therefore included in the Tuross River catchment N index. Event-based water quality monitoring, and soil information, or in data-poor catchments conceptual understanding, are essential to represent catchment-scale processes. The techniques have high applicability in other catchments, and are complementary to other modelling techniques such as process-based semi-distributed modelling. Index models generally provide much more detailed spatial resolution than fully- or semi-distributed conceptual modelling approaches. Semi-distributed models can be used to quantify nutrient loads and provide overall direction to set the broad focus of management. Index models can then be used to refine on-the-ground investigations and investment priorities. In this way semi-distributed models can be combined with index models to provide a set of powerful tools to influence management decisions and outcomes.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2010.10.001</identifier><identifier>PMID: 20980094</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; Australia ; Biological and medical sciences ; Catchment modelling ; Catchments ; Conservation, protection and management of environment and wildlife ; Environmental monitoring ; Estimation ; Freshwater ; Fundamental and applied biological sciences. Psychology ; General aspects ; General aspects. Techniques ; Indexation ; Management ; Methodology ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Modelling ; Models, Theoretical ; Monitoring ; Nitrogen ; Nitrogen - analysis ; Nitrogen index ; Nutrients ; Phosphorus ; Phosphorus - analysis ; Phosphorus index ; Risk ; Risk Assessment ; Risk factors ; Rivers ; Water management ; Water pollution ; Water quality ; Watershed ; Watersheds</subject><ispartof>Journal of environmental management, 2011-03, Vol.92 (3), p.639-649</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2010 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. 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The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrient concentrations) and transport risk factors (e.g. distance-to-streams) are used to determine the overall risk of nutrient loss for a case study in the Tuross River catchment of coastal southeast Australia. In the development of the N index model for Tuross, particulate N was considered important based on the observed event water quality data. In contrast to previous N index models, erosion and contributing distance were therefore included in the Tuross River catchment N index. Event-based water quality monitoring, and soil information, or in data-poor catchments conceptual understanding, are essential to represent catchment-scale processes. The techniques have high applicability in other catchments, and are complementary to other modelling techniques such as process-based semi-distributed modelling. Index models generally provide much more detailed spatial resolution than fully- or semi-distributed conceptual modelling approaches. Semi-distributed models can be used to quantify nutrient loads and provide overall direction to set the broad focus of management. Index models can then be used to refine on-the-ground investigations and investment priorities. In this way semi-distributed models can be combined with index models to provide a set of powerful tools to influence management decisions and outcomes.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Australia</subject><subject>Biological and medical sciences</subject><subject>Catchment modelling</subject><subject>Catchments</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Environmental monitoring</subject><subject>Estimation</subject><subject>Freshwater</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General aspects. Techniques</subject><subject>Indexation</subject><subject>Management</subject><subject>Methodology</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Modelling</subject><subject>Models, Theoretical</subject><subject>Monitoring</subject><subject>Nitrogen</subject><subject>Nitrogen - analysis</subject><subject>Nitrogen index</subject><subject>Nutrients</subject><subject>Phosphorus</subject><subject>Phosphorus - analysis</subject><subject>Phosphorus index</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Risk factors</subject><subject>Rivers</subject><subject>Water management</subject><subject>Water pollution</subject><subject>Water quality</subject><subject>Watershed</subject><subject>Watersheds</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNks2KFDEUhYMoTjv6CEoQxNlUm99OaiUy6Dgw4MZZh3Ryy66yKmmTVKNvb2q6VXDhuAiBw3cPh3suQs8pWVNCN2-G9QDhMNmwZuROWxNCH6AVJa1s9IaTh2hFOKGNUK06Q09yHgghnFH1GJ0x0mpCWrFCt9fBw3c8RQ9jxiViONhxtgVw2QFOff6KY4f3u5jrS3PGNngc-pLiFwh4jLkqBTtb3G6CUHB2doT8FD3q7Jjh2ek_R7cf3n--_NjcfLq6vnx30zhJdWms7bjqrNx65YUHINK1W-JaQYXcsI5tnZKt1NIrJ1vKWq6kqKD2ljGhueDn6PXRd5_itxlyMVOfHYyjDRDnbPSGcC2FYPeTQjGlKP0PT0aF1lwunhf_JKmqjpW7C_ryL3SIcwp1N6bmk1pIyiskj5BLda8JOrNP_WTTD0OJWUo3gzmVbpbSF7mWXudenMzn7QT-99Svlivw6gTYpZ8u2eD6_IfjmreULkZvj1y9BTj0kEx2PQQHvk_givGxvyfKT_jSyuw</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Drewry, J.J.</creator><creator>Newham, L.T.H.</creator><creator>Greene, R.S.B.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Academic Press Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>7TV</scope><scope>7U6</scope></search><sort><creationdate>20110301</creationdate><title>Index models to evaluate the risk of phosphorus and nitrogen loss at catchment scales</title><author>Drewry, J.J. ; Newham, L.T.H. ; Greene, R.S.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-aaf37fa5bd7d4dee05c9b0c9414562f2bc759585d7c591293754d4d8da2248343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Australia</topic><topic>Biological and medical sciences</topic><topic>Catchment modelling</topic><topic>Catchments</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Environmental monitoring</topic><topic>Estimation</topic><topic>Freshwater</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General aspects. Techniques</topic><topic>Indexation</topic><topic>Management</topic><topic>Methodology</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Modelling</topic><topic>Models, Theoretical</topic><topic>Monitoring</topic><topic>Nitrogen</topic><topic>Nitrogen - analysis</topic><topic>Nitrogen index</topic><topic>Nutrients</topic><topic>Phosphorus</topic><topic>Phosphorus - analysis</topic><topic>Phosphorus index</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>Risk factors</topic><topic>Rivers</topic><topic>Water management</topic><topic>Water pollution</topic><topic>Water quality</topic><topic>Watershed</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Drewry, J.J.</creatorcontrib><creatorcontrib>Newham, L.T.H.</creatorcontrib><creatorcontrib>Greene, R.S.B.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Drewry, J.J.</au><au>Newham, L.T.H.</au><au>Greene, R.S.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Index models to evaluate the risk of phosphorus and nitrogen loss at catchment scales</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2011-03-01</date><risdate>2011</risdate><volume>92</volume><issue>3</issue><spage>639</spage><epage>649</epage><pages>639-649</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>This paper investigates index models as a tool to estimate the risk of N and P source strengths and loss at the catchment scale. The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrient concentrations) and transport risk factors (e.g. distance-to-streams) are used to determine the overall risk of nutrient loss for a case study in the Tuross River catchment of coastal southeast Australia. In the development of the N index model for Tuross, particulate N was considered important based on the observed event water quality data. In contrast to previous N index models, erosion and contributing distance were therefore included in the Tuross River catchment N index. Event-based water quality monitoring, and soil information, or in data-poor catchments conceptual understanding, are essential to represent catchment-scale processes. The techniques have high applicability in other catchments, and are complementary to other modelling techniques such as process-based semi-distributed modelling. Index models generally provide much more detailed spatial resolution than fully- or semi-distributed conceptual modelling approaches. Semi-distributed models can be used to quantify nutrient loads and provide overall direction to set the broad focus of management. Index models can then be used to refine on-the-ground investigations and investment priorities. In this way semi-distributed models can be combined with index models to provide a set of powerful tools to influence management decisions and outcomes.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>20980094</pmid><doi>10.1016/j.jenvman.2010.10.001</doi><tpages>11</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied ecology Australia Biological and medical sciences Catchment modelling Catchments Conservation, protection and management of environment and wildlife Environmental monitoring Estimation Freshwater Fundamental and applied biological sciences. Psychology General aspects General aspects. Techniques Indexation Management Methodology Methods and techniques (sampling, tagging, trapping, modelling...) Modelling Models, Theoretical Monitoring Nitrogen Nitrogen - analysis Nitrogen index Nutrients Phosphorus Phosphorus - analysis Phosphorus index Risk Risk Assessment Risk factors Rivers Water management Water pollution Water quality Watershed Watersheds |
title | Index models to evaluate the risk of phosphorus and nitrogen loss at catchment scales |
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