Department of Physical Geography, University of Göttingen, Göttingen, Germany
Dirk Jaeger
Department of Forest Work Science and Engineering, University of Göttingen, Göttingen, Germany
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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: 3,142 (including HTML, PDF, and XML)
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2,631
444
67
3,142
70
88
HTML: 2,631
PDF: 444
XML: 67
Total: 3,142
BibTeX: 70
EndNote: 88
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads
(calculated since 07 Sep 2023)
Total article views: 2,824 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,313
444
67
2,824
70
88
HTML: 2,313
PDF: 444
XML: 67
Total: 2,824
BibTeX: 70
EndNote: 88
Views and downloads (calculated since 20 Jun 2024)
Cumulative views and downloads
(calculated since 20 Jun 2024)
Total article views: 318 (including HTML, PDF, and XML)
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318
0
0
318
0
0
HTML: 318
PDF: 0
XML: 0
Total: 318
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: 3,142 (including HTML, PDF, and XML)
Thereof 3,096 with geography defined
and 46 with unknown origin.
Total article views: 2,824 (including HTML, PDF, and XML)
Thereof 2,786 with geography defined
and 38 with unknown origin.
Total article views: 318 (including HTML, PDF, and XML)
Thereof 310 with geography defined
and 8 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...