Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Oeschger Center for Climate Change Research (OCCR), University of Bern, Hochschulstrasse 6, 3012 Bern, Switzerland
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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: 1,980 (including HTML, PDF, and XML)
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PDF
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EndNote
1,967
0
13
1,980
0
0
HTML: 1,967
PDF: 0
XML: 13
Total: 1,980
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 01 Apr 2025)
Cumulative views and downloads
(calculated since 01 Apr 2025)
Total article views: 1,980 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,967
0
13
1,980
0
0
HTML: 1,967
PDF: 0
XML: 13
Total: 1,980
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 01 Apr 2025)
Cumulative views and downloads
(calculated since 01 Apr 2025)
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: 1,980 (including HTML, PDF, and XML)
Thereof 1,846 with geography defined
and 134 with unknown origin.
Total article views: 1,980 (including HTML, PDF, and XML)
Thereof 1,846 with geography defined
and 134 with unknown origin.
Mechanistic vegetation models serve to estimate terrestrial carbon fluxes and climate impacts on ecosystems across diverse conditions. Here, we demonstrate and evaluate the rsofun R package, which provides a computationally efficient implementation of the P-model for site-scale simulations of ecosystem photosynthesis. Bayesian model fitting to observed fluxes and traits and evaluation on an independent test data set indicated robust calibration and unbiased prediction capabilities.
Mechanistic vegetation models serve to estimate terrestrial carbon fluxes and climate impacts on...