Dept. of Ecological Modelling, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
Institute of Environmental Systems Research, Osnabrück University, Barbarastr. 12, 49076 Osnabrück, Germany
Xugao Wang
Institute of Applied Ecology, Chinese Academy of Sciences, P.O. Box 417, Shenyang, 110016, China
Andreas Huth
Dept. of Ecological Modelling, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
Institute of Environmental Systems Research, Osnabrück University, Barbarastr. 12, 49076 Osnabrück, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig, Puschstr. 4, 04103 Leipzig, 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: 976 (including HTML, PDF, and XML)
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866
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976
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PDF: 75
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Total: 976
Supplement: 41
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EndNote: 21
Views and downloads (calculated since 08 Dec 2023)
Cumulative views and downloads
(calculated since 08 Dec 2023)
Total article views: 783 (including HTML, PDF, and XML)
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675
75
33
783
41
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HTML: 675
PDF: 75
XML: 33
Total: 783
Supplement: 41
BibTeX: 16
EndNote: 21
Views and downloads (calculated since 19 Jul 2024)
Cumulative views and downloads
(calculated since 19 Jul 2024)
Total article views: 193 (including HTML, PDF, and XML)
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191
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2
193
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Total: 193
BibTeX: 0
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Views and downloads (calculated since 08 Dec 2023)
Cumulative views and downloads
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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: 976 (including HTML, PDF, and XML)
Thereof 991 with geography defined
and -15 with unknown origin.
Total article views: 783 (including HTML, PDF, and XML)
Thereof 804 with geography defined
and -21 with unknown origin.
Total article views: 193 (including HTML, PDF, and XML)
Thereof 187 with geography defined
and 6 with unknown origin.
Understanding the drivers of forest productivity is key for accurately assessing forests’ role in the global carbon cycle. Yet, despite significant research effort, it is not fully understood how the productivity of a forest can be deduced from its stand structure. We suggest tackling this problem by identifying the share and structure of immature trees within forests and show that this approach could significantly improve estimates of forests’ net productivity and carbon uptake.
Understanding the drivers of forest productivity is key for accurately assessing forests’ role...