Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Nicola Fohrer
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
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3,288
1,373
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4,765
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PDF: 1,373
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Total: 4,765
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EndNote: 107
Views and downloads (calculated since 21 Sep 2021)
Cumulative views and downloads
(calculated since 21 Sep 2021)
Total article views: 3,112 (including HTML, PDF, and XML)
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2,375
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3,112
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HTML: 2,375
PDF: 665
XML: 72
Total: 3,112
Supplement: 164
BibTeX: 69
EndNote: 92
Views and downloads (calculated since 17 May 2022)
Cumulative views and downloads
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Total article views: 1,653 (including HTML, PDF, and XML)
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913
708
32
1,653
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PDF: 708
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Total: 1,653
BibTeX: 15
EndNote: 15
Views and downloads (calculated since 21 Sep 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,765 (including HTML, PDF, and XML)
Thereof 4,590 with geography defined
and 175 with unknown origin.
Total article views: 3,112 (including HTML, PDF, and XML)
Thereof 3,001 with geography defined
and 111 with unknown origin.
Total article views: 1,653 (including HTML, PDF, and XML)
Thereof 1,589 with geography defined
and 64 with unknown origin.
We presented an integrated approach to hydrologic modeling and partial least squares regression quantifying land use change impacts on water and nutrient balance over 3 decades. Results highlight that most variations (70 %–80 %) in water quantity and quality variables are explained by changes in land use class-specific areas and landscape metrics. Arable land influences water quantity and quality the most. The study provides insights on water resources management in rural lowland catchments.
We presented an integrated approach to hydrologic modeling and partial least squares regression...
