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.
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.
the Creative Commons Attribution 4.0 License.
Assessing the peatland hummock–hollow classification framework using high-resolution elevation models: implications for appropriate complexity ecosystem modeling
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
Maxwell C. Lukenbach
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, T6G 2E3, Canada
Dan K. Thompson
Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada, Edmonton, Alberta, AB, T6H 3S5, Canada
Nick Kettridge
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Gustaf Granath
Department of Ecology and Genetics, EBC, Uppsala University,
Norbyvägen 18D, 736 52 Uppsala, Sweden
James M. Waddington
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
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Cited
21 citations as recorded by crossref.
- From genes to landscapes: Pattern formation and self‐regulation in raised bogs with an example from Tierra del Fuego J. Couwenberg et al. 10.1002/ecs2.4031
- Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing A. Räsänen et al. 10.1080/15481603.2020.1829377
- Less is more: Optimizing vegetation mapping in peatlands using unmanned aerial vehicles (UAVs) J. Steenvoorden et al. 10.1016/j.jag.2023.103220
- MPeat2D – a fully coupled mechanical–ecohydrological model of peatland development in two dimensions A. Mahdiyasa et al. 10.5194/esurf-12-929-2024
- Modelling the potential for peat-block transplants to restore industrially contaminated Sphagnum peatlands C. McCarter et al. 10.1016/j.ecoleng.2022.106874
- Diatom‐inferred microtopography formation in peatlands X. Chen et al. 10.1002/esp.5280
- Ecohydrological implications of the variability of soil hydrophysical properties between two Sphagnum moss microforms and the impact of different sample heights V. Golubev et al. 10.1016/j.jhydrol.2021.126956
- The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites R. de Lima et al. 10.3390/rs14102334
- Spatial response resampling (SR2): Accounting for the spatial point spread function in hyperspectral image resampling D. Inamdar et al. 10.1016/j.mex.2023.101998
- A little relief: Ecological functions and autogenesis of wetland microtopography J. Diamond et al. 10.1002/wat2.1493
- Forest stand complexity controls ecosystem‐scale evapotranspiration dynamics: Implications for landscape flux simulations R. Leonard et al. 10.1002/hyp.14761
- Soil mounding as a restoration approach of seismic lines in boreal peatlands: implications on microtopography J. Pinzon et al. 10.1111/rec.13835
- Spatial Heterogeneity of Surface Topography in Peatlands: Assessing Overwintering Habitat Availability for the Eastern Massasauga Rattlesnake C. Markle et al. 10.1007/s13157-020-01378-2
- Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought J. Kelly et al. 10.1016/j.agrformet.2021.108330
- Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing T. Shukla et al. 10.3390/rs15092387
- Modelling the ecohydrological plasticity in soil hydraulic properties of Sphagnum mosses C. McCarter et al. 10.1002/eco.2701
- Determination of Microtopography of Low-Relief Tidal Freshwater Forested Wetlands Using LiDAR T. Shukla et al. 10.3390/rs16183463
- Surface structure on abandoned upland blanket peatland tracks J. Williams-Mounsey et al. 10.1016/j.jenvman.2022.116561
- There and back again: Forty years of change in vegetation patterns in Irish peatlands J. Steenvoorden et al. 10.1016/j.ecolind.2022.109731
- Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches J. Graham et al. 10.1007/s10021-020-00481-z
- Temporal Variability in Heterotrophic Carbon Dioxide Emissions From A Drained Tropical Peatland in Uganda J. Farmer et al. 10.3389/fsoil.2022.904647
21 citations as recorded by crossref.
- From genes to landscapes: Pattern formation and self‐regulation in raised bogs with an example from Tierra del Fuego J. Couwenberg et al. 10.1002/ecs2.4031
- Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing A. Räsänen et al. 10.1080/15481603.2020.1829377
- Less is more: Optimizing vegetation mapping in peatlands using unmanned aerial vehicles (UAVs) J. Steenvoorden et al. 10.1016/j.jag.2023.103220
- MPeat2D – a fully coupled mechanical–ecohydrological model of peatland development in two dimensions A. Mahdiyasa et al. 10.5194/esurf-12-929-2024
- Modelling the potential for peat-block transplants to restore industrially contaminated Sphagnum peatlands C. McCarter et al. 10.1016/j.ecoleng.2022.106874
- Diatom‐inferred microtopography formation in peatlands X. Chen et al. 10.1002/esp.5280
- Ecohydrological implications of the variability of soil hydrophysical properties between two Sphagnum moss microforms and the impact of different sample heights V. Golubev et al. 10.1016/j.jhydrol.2021.126956
- The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites R. de Lima et al. 10.3390/rs14102334
- Spatial response resampling (SR2): Accounting for the spatial point spread function in hyperspectral image resampling D. Inamdar et al. 10.1016/j.mex.2023.101998
- A little relief: Ecological functions and autogenesis of wetland microtopography J. Diamond et al. 10.1002/wat2.1493
- Forest stand complexity controls ecosystem‐scale evapotranspiration dynamics: Implications for landscape flux simulations R. Leonard et al. 10.1002/hyp.14761
- Soil mounding as a restoration approach of seismic lines in boreal peatlands: implications on microtopography J. Pinzon et al. 10.1111/rec.13835
- Spatial Heterogeneity of Surface Topography in Peatlands: Assessing Overwintering Habitat Availability for the Eastern Massasauga Rattlesnake C. Markle et al. 10.1007/s13157-020-01378-2
- Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought J. Kelly et al. 10.1016/j.agrformet.2021.108330
- Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing T. Shukla et al. 10.3390/rs15092387
- Modelling the ecohydrological plasticity in soil hydraulic properties of Sphagnum mosses C. McCarter et al. 10.1002/eco.2701
- Determination of Microtopography of Low-Relief Tidal Freshwater Forested Wetlands Using LiDAR T. Shukla et al. 10.3390/rs16183463
- Surface structure on abandoned upland blanket peatland tracks J. Williams-Mounsey et al. 10.1016/j.jenvman.2022.116561
- There and back again: Forty years of change in vegetation patterns in Irish peatlands J. Steenvoorden et al. 10.1016/j.ecolind.2022.109731
- Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches J. Graham et al. 10.1007/s10021-020-00481-z
- Temporal Variability in Heterotrophic Carbon Dioxide Emissions From A Drained Tropical Peatland in Uganda J. Farmer et al. 10.3389/fsoil.2022.904647
Latest update: 19 Nov 2024
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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