Biogeosciences
Biogeosciences
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Articles | Volume 16, issue 18
Articles | Volume 16, issue 18
https://doi.org/10.5194/bg-16-3491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-3491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 18
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, Maxwell C. Lukenbach, Dan K. Thompson, Nick Kettridge, Gustaf Granath, and James M. Waddington

Supplement

https://doi.org/10.5194/bg-16-3491-2019-supplement

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.
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