Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-2325-2022
https://doi.org/10.5194/gmd-15-2325-2022
Model description paper
 | 
18 Mar 2022
Model description paper |  | 18 Mar 2022

A dynamic local-scale vegetation model for lycopsids (LYCOm v1.0)

Suman Halder, Susanne K. M. Arens, Kai Jensen, Tais W. Dahl, and Philipp Porada

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Cited articles

Aghamiri, R. R. and Schwartzman, D. W.: Weathering rates of bedrock by lichens: a mini watershed study, Chem. Geol., 188, 249–259, 2002. a
Algeo, T. J. and Scheckler, S. E.: Terrestrial-marine teleconnections in the Devonian: links between the evolution of land plants, weathering processes, and marine anoxic events, Philos. T. Roy. Soc. B, 353, 113–130, 1998. a, b, c
Algeo, T. J. and Scheckler, S. E.: Land plant evolution and weathering rate changes in the Devonian, J. Earth Sci., 21, 75–78, 2010. a
Andrews, J. A. and Schlesinger, W. H.: Soil CO2 dynamics, acidification, and chemical weathering in a temperate forest with experimental CO2 enrichment, Global Biogeochem. Cy., 15, 149–162, 2001. a
Arens, S. and Kleidon, A.: Eco-hydrological versus supply-limited weathering regimes and the potential for biotic enhancement of weathering at the global scale, Appl. Geochem., 26, S274–S278, 2011. a, b, c, d
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Short summary
A dynamic vegetation model, designed to estimate potential impacts of early vascular vegetation, namely, lycopsids, on the biogeochemical cycle at a local scale. Lycopsid Model (LYCOm) estimates the productivity and physiological properties of lycopsids across a broad climatic range along with natural selection, which is then utilized to adjudge their weathering potential. It lays the foundation for estimation of their impacts during their long evolutionary history starting from the Ordovician.