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Biogeosciences An interactive open-access journal of the European Geosciences Union
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BG | Articles | Volume 16, issue 18
Biogeosciences, 16, 3491–3506, 2019
https://doi.org/10.5194/bg-16-3491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 16, 3491–3506, 2019
https://doi.org/10.5194/bg-16-3491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 Sep 2019

Research article | 17 Sep 2019

Assessing the peatland hummock–hollow classification framework using high-resolution elevation models: implications for appropriate complexity ecosystem modeling

Paul A. Moore et al.

Data sets

Assessing the peatland hummock-hollow classification framework using high-resolution elevation models: Implications for appropriate complexity ecosystem modelling P. Moore, M. Lukenbach, D. Thompson, N. Kettridge, G. Granath, and J. Waddington https://doi.org/10.5281/zenodo.2545675

Model code and software

Assessing the peatland hummock-hollow classification framework using high-resolution elevation models: Implications for appropriate complexity ecosystem modelling P. Moore, M. Lukenbach, D. Thompson, N. Kettridge, G. Granath, and J. Waddington https://doi.org/10.5281/zenodo.2545675

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Short summary
Using very-high-resolution digital elevation models (DEMs), we assessed the basic structure and microtopographic variability of hummock–hollow plots at boreal and hemi-boreal sites primarily in North America. Using a simple model of peatland biogeochemical function, our results suggest that both surface heating and moss productivity may not be adequately resolved in models which only consider idealized hummock–hollow units.
Using very-high-resolution digital elevation models (DEMs), we assessed the basic structure and...
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