Department of Physical Geography, University of Göttingen, Göttingen, Germany
Dirk Jaeger
Department of Forest Work Science and Engineering, University of Göttingen, Göttingen, Germany
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 2,388 (including HTML, PDF, and XML)
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BibTeX
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1,986
358
44
2,388
47
66
HTML: 1,986
PDF: 358
XML: 44
Total: 2,388
BibTeX: 47
EndNote: 66
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads
(calculated since 07 Sep 2023)
Total article views: 2,078 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,676
358
44
2,078
47
66
HTML: 1,676
PDF: 358
XML: 44
Total: 2,078
BibTeX: 47
EndNote: 66
Views and downloads (calculated since 20 Jun 2024)
Cumulative views and downloads
(calculated since 20 Jun 2024)
Total article views: 310 (including HTML, PDF, and XML)
HTML
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BibTeX
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310
0
0
310
0
0
HTML: 310
PDF: 0
XML: 0
Total: 310
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads
(calculated since 07 Sep 2023)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 2,388 (including HTML, PDF, and XML)
Thereof 2,363 with geography defined
and 25 with unknown origin.
Total article views: 2,078 (including HTML, PDF, and XML)
Thereof 2,058 with geography defined
and 20 with unknown origin.
Total article views: 310 (including HTML, PDF, and XML)
Thereof 305 with geography defined
and 5 with unknown origin.
This work employs innovative spatiotemporal modeling to predict soil moisture, with implications for sustainable forest management. By correlating predicted soil moisture with rut depth, it addresses a critical concern of soil damage and ecological impact – and its prevention through adequate planning of forest operations.
This work employs innovative spatiotemporal modeling to predict soil moisture, with implications...