Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
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Total article views: 2,168 (including HTML, PDF, and XML)
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1,493
597
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2,168
106
40
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HTML: 1,493
PDF: 597
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Total: 2,168
Supplement: 106
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EndNote: 38
Views and downloads (calculated since 18 Jun 2021)
Cumulative views and downloads
(calculated since 18 Jun 2021)
Total article views: 1,044 (including HTML, PDF, and XML)
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681
313
50
1,044
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PDF: 313
XML: 50
Total: 1,044
Supplement: 49
BibTeX: 34
EndNote: 32
Views and downloads (calculated since 01 Feb 2022)
Cumulative views and downloads
(calculated since 01 Feb 2022)
Total article views: 1,124 (including HTML, PDF, and XML)
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812
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1,124
57
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PDF: 284
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Total: 1,124
Supplement: 57
BibTeX: 6
EndNote: 6
Views and downloads (calculated since 18 Jun 2021)
Cumulative views and downloads
(calculated since 18 Jun 2021)
Viewed (geographical distribution)
Total article views: 2,168 (including HTML, PDF, and XML)
Thereof 2,059 with geography defined
and 109 with unknown origin.
Total article views: 1,044 (including HTML, PDF, and XML)
Thereof 1,013 with geography defined
and 31 with unknown origin.
Total article views: 1,124 (including HTML, PDF, and XML)
Thereof 1,046 with geography defined
and 78 with unknown origin.
The Vegetation Optimality Model (VOM) is a coupled water–vegetation model that predicts vegetation properties rather than determines them based on observations. A range of updates to previous applications of the VOM has been made for increased generality and improved comparability with conventional models. This showed that there is a large effect on the simulated water and carbon fluxes caused by the assumption of deep groundwater tables and updated soil profiles in the model.
The Vegetation Optimality Model (VOM) is a coupled water–vegetation model that predicts...