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: 3,097 (including HTML, PDF, and XML)
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2,592
439
66
3,097
69
87
HTML: 2,592
PDF: 439
XML: 66
Total: 3,097
BibTeX: 69
EndNote: 87
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads
(calculated since 07 Sep 2023)
Total article views: 2,787 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,282
439
66
2,787
69
87
HTML: 2,282
PDF: 439
XML: 66
Total: 2,787
BibTeX: 69
EndNote: 87
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)
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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: 3,097 (including HTML, PDF, and XML)
Thereof 3,070 with geography defined
and 27 with unknown origin.
Total article views: 2,787 (including HTML, PDF, and XML)
Thereof 2,765 with geography defined
and 22 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...