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
Viewed
Total article views: 4,746 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,278
1,365
103
4,746
164
84
107
HTML: 3,278
PDF: 1,365
XML: 103
Total: 4,746
Supplement: 164
BibTeX: 84
EndNote: 107
Views and downloads (calculated since 21 Sep 2021)
Cumulative views and downloads
(calculated since 21 Sep 2021)
Total article views: 3,097 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,368
657
72
3,097
164
69
92
HTML: 2,368
PDF: 657
XML: 72
Total: 3,097
Supplement: 164
BibTeX: 69
EndNote: 92
Views and downloads (calculated since 17 May 2022)
Cumulative views and downloads
(calculated since 17 May 2022)
Total article views: 1,649 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
910
708
31
1,649
15
15
HTML: 910
PDF: 708
XML: 31
Total: 1,649
BibTeX: 15
EndNote: 15
Views and downloads (calculated since 21 Sep 2021)
Cumulative views and downloads
(calculated since 21 Sep 2021)
Viewed (geographical distribution)
Total article views: 4,746 (including HTML, PDF, and XML)
Thereof 4,569 with geography defined
and 177 with unknown origin.
Total article views: 3,097 (including HTML, PDF, and XML)
Thereof 2,987 with geography defined
and 110 with unknown origin.
Total article views: 1,649 (including HTML, PDF, and XML)
Thereof 1,582 with geography defined
and 67 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...
