Articles | Volume 15, issue 9
Biogeosciences, 15, 2781–2801, 2018
https://doi.org/10.5194/bg-15-2781-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Changing Permafrost in the Arctic and its Global Effects in...
Research article 09 May 2018
Research article | 09 May 2018
Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra – coupling field observations with remote sensing data
Juha Mikola et al.
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Cited
14 citations as recorded by crossref.
- Molecular level study of hot water extracted green tea buried in soils - a proxy for labile soil organic matter N. Bell et al. 10.1038/s41598-020-58325-8
- Relative Importance of Climate, Soil and Plant Functional Traits During the Early Decomposition Stage of Standardized Litter N. Fanin et al. 10.1007/s10021-019-00452-z
- Mars Terraforming: A Geographic Information Systems Framework E. Vaz & E. Penfound 10.1016/j.lssr.2019.12.001
- Nesting habitat of ground‐nesting bees: a review C. Antoine & J. Forrest 10.1111/een.12986
- Vegetation Indices Do Not Capture Forest Cover Variation in Upland Siberian Larch Forests M. Loranty et al. 10.3390/rs10111686
- Environmental land-cover classification for integrated watershed studies: Cape Bounty, Melville Island, Nunavut J. Hung & P. Treitz 10.1139/as-2019-0029
- Fenton’s reaction-based chemical oxidation in suboptimal conditions can lead to mobilization of oil hydrocarbons but also contribute to the total removal of volatile compounds H. Talvenmäki et al. 10.1007/s11356-019-06547-3
- Decreased carbon accumulation feedback driven by climate‐induced drying of two southern boreal bogs over recent centuries H. Zhang et al. 10.1111/gcb.15005
- Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness J. Tuovinen et al. 10.5194/bg-16-255-2019
- Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS) M. Palace et al. 10.3390/rs10091498
- Semiautomated Detection and Mapping of Vegetation Distribution in the Antarctic Environment Using Spatial-Spectral Characteristics of WorldView-2 Imagery S. Jawak et al. 10.3390/rs11161909
- Spatial variations in the growth rate of Hylocomium splendens and the thickness of the organic layer on a north-facing slope in Interior Alaska J. Toriyama et al. 10.1016/j.polar.2021.100654
- Comparing ultra‐high spatial resolution remote‐sensing methods in mapping peatland vegetation A. Räsänen et al. 10.1111/jvs.12769
- Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling A. Räsänen et al. 10.1080/01431161.2018.1524176
14 citations as recorded by crossref.
- Molecular level study of hot water extracted green tea buried in soils - a proxy for labile soil organic matter N. Bell et al. 10.1038/s41598-020-58325-8
- Relative Importance of Climate, Soil and Plant Functional Traits During the Early Decomposition Stage of Standardized Litter N. Fanin et al. 10.1007/s10021-019-00452-z
- Mars Terraforming: A Geographic Information Systems Framework E. Vaz & E. Penfound 10.1016/j.lssr.2019.12.001
- Nesting habitat of ground‐nesting bees: a review C. Antoine & J. Forrest 10.1111/een.12986
- Vegetation Indices Do Not Capture Forest Cover Variation in Upland Siberian Larch Forests M. Loranty et al. 10.3390/rs10111686
- Environmental land-cover classification for integrated watershed studies: Cape Bounty, Melville Island, Nunavut J. Hung & P. Treitz 10.1139/as-2019-0029
- Fenton’s reaction-based chemical oxidation in suboptimal conditions can lead to mobilization of oil hydrocarbons but also contribute to the total removal of volatile compounds H. Talvenmäki et al. 10.1007/s11356-019-06547-3
- Decreased carbon accumulation feedback driven by climate‐induced drying of two southern boreal bogs over recent centuries H. Zhang et al. 10.1111/gcb.15005
- Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness J. Tuovinen et al. 10.5194/bg-16-255-2019
- Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS) M. Palace et al. 10.3390/rs10091498
- Semiautomated Detection and Mapping of Vegetation Distribution in the Antarctic Environment Using Spatial-Spectral Characteristics of WorldView-2 Imagery S. Jawak et al. 10.3390/rs11161909
- Spatial variations in the growth rate of Hylocomium splendens and the thickness of the organic layer on a north-facing slope in Interior Alaska J. Toriyama et al. 10.1016/j.polar.2021.100654
- Comparing ultra‐high spatial resolution remote‐sensing methods in mapping peatland vegetation A. Räsänen et al. 10.1111/jvs.12769
- Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling A. Räsänen et al. 10.1080/01431161.2018.1524176
Latest update: 01 Mar 2021
Short summary
To support C exchange measurements, we examined plant and soil attributes in Siberian Arctic tundra. Our results illustrate a typical tundra ecosystem with great spatial variation. Mosses dominate plant biomass and control many soil attributes such as temperature, but variation in moss biomass is difficult to capture by remote sensing. This indicates challenges in spatial extrapolation of some of those plant and soil attributes that are relevant for regional ecosystem and global climate models.
To support C exchange measurements, we examined plant and soil attributes in Siberian Arctic...
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