<rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <rdf:Description rdf:about="https://doi.org/10.1007/s10661-023-11079-y">
    <dct:isReferencedBy>OPENAIRE</dct:isReferencedBy>
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    <dct:isReferencedBy>Crossref</dct:isReferencedBy>
    <dct:isReferencedBy>Europe PubMed Central</dct:isReferencedBy>
    <dct:isReferencedBy>PubMed Central</dct:isReferencedBy>
    <dct:isPartOf>Environmental Monitoring and Assessment</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2023-03-25</dct:created>
    <dc:description>Abstract &lt;p&gt;Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3&#65506;&#65408;&#65427;N), ammonium nitrogen (NH4&#65506;&#65408;&#65427;N), and mineralized phosphorus (PO4&#65506;&#65408;&#65427;P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT&#65506;&#65408;&#65417;+&#65506;&#65408;&#65417;CC). The NT&#65506;&#65408;&#65417;+&#65506;&#65408;&#65417;CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3&#65506;&#65408;&#65427;N and PO4&#65506;&#65408;&#65427;P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.&lt;/p</dc:description>
    <dc:subject>Agricultural and Biological Sciences</dc:subject>
    <dc:subject>Soil</dc:subject>
    <dc:subject>Context (archaeology)</dc:subject>
    <dc:subject>Engineering</dc:subject>
    <dc:subject>Water Quality</dc:subject>
    <dc:subject>Soil water</dc:subject>
    <dc:subject>Water Science and Technology</dc:subject>
    <dc:subject>Watershed Management</dc:subject>
    <dc:subject>2. Zero hunger</dc:subject>
    <dc:subject>Geography</dc:subject>
    <dc:subject>Ecology</dc:subject>
    <dc:subject>Life Sciences</dc:subject>
    <dc:subject>Soil and Water Assessment Tool</dc:subject>
    <dc:subject>Agriculture</dc:subject>
    <dc:subject>Hydrology (agriculture)</dc:subject>
    <dc:subject>6. Clean water</dc:subject>
    <dc:subject>Soil Erosion and Agricultural Sustainability</dc:subject>
    <dc:subject>Water resource management</dc:subject>
    <dc:subject>Hydrological Modeling and Water Resource Management</dc:subject>
    <dc:subject>Water quality</dc:subject>
    <dc:subject>Archaeology</dc:subject>
    <dc:subject>Austria</dc:subject>
    <dc:subject>Physical Sciences</dc:subject>
    <dc:subject>SWAT model</dc:subject>
    <dc:subject>Environmental Monitoring</dc:subject>
    <dc:subject>Cartography</dc:subject>
    <dc:subject>Conservation of Natural Resources</dc:subject>
    <dc:subject>Biogeochemical Cycling of Nutrients in Aquatic Ecosystems</dc:subject>
    <dc:subject>Drainage basin</dc:subject>
    <dc:subject>Nitrogen</dc:subject>
    <dc:subject>Soil Science</dc:subject>
    <dc:subject>Streamflow</dc:subject>
    <dc:subject>Article</dc:subject>
    <dc:subject>Environmental science</dc:subject>
    <dc:subject>Soil quality</dc:subject>
    <dc:subject>Machine learning</dc:subject>
    <dc:subject>Environmental Chemistry</dc:subject>
    <dc:subject>Civil engineering</dc:subject>
    <dc:subject>Biology</dc:subject>
    <dc:subject>Nonpoint source pollution</dc:subject>
    <dc:subject>Soil science</dc:subject>
    <dc:subject>15. Life on land</dc:subject>
    <dc:subject>Watershed Simulation</dc:subject>
    <dc:subject>Watershed management</dc:subject>
    <dc:subject>Watershed</dc:subject>
    <dc:subject>Computer science</dc:subject>
    <dc:subject>Geotechnical engineering</dc:subject>
    <dc:subject>13. Climate action</dc:subject>
    <dc:subject>FOS: Biological sciences</dc:subject>
    <dc:subject>Environmental Science</dc:subject>
    <dc:subject>Land use</dc:subject>
    <dc:subject>FOS: Civil engineering</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-2106-739x"/>
    <dc:creator>Francis Kilundu Musyoka, Peter Strau&#223;, Guangju Zhao, Stefan Strohmeier, Benedict M. Mutua, Andreas Klik, </dc:creator>
    <dc:date>2023-03-25</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>Abstract &lt;p&gt;Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3&#65506;&#65408;&#65427;N), ammonium nitrogen (NH4&#65506;&#65408;&#65427;N), and mineralized phosphorus (PO4&#65506;&#65408;&#65427;P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT&#65506;&#65408;&#65417;+&#65506;&#65408;&#65417;CC). The NT&#65506;&#65408;&#65417;+&#65506;&#65408;&#65417;CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3&#65506;&#65408;&#65427;N and PO4&#65506;&#65408;&#65427;P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.&lt;/p</dct:abstract>
    <dc:title>Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT</dc:title>
    <dc:identifier>10.1007/s10661-023-11079-y</dc:identifier>
    <dct:references>https://doi.org/10.1007/s10661-023-11079-y</dct:references>
    <dct:relation>773903</dct:relation>
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