Boreal forest soil carbon: distribution, function and modelling

2012 ◽  
Vol 85 (2) ◽  
pp. 161-184 ◽  
Author(s):  
T. H. Deluca ◽  
C. Boisvenue
Keyword(s):  
Distribution Function ◽  
Boreal Forest ◽  
Soil Carbon ◽  
Forest Soil ◽  
Carbon Distribution

Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect Case Study

2006 ◽  
Vol 86 (Special Issue) ◽  
pp. 171-185 ◽  
Author(s):  
Cindy Shaw ◽  
Oleg Chertov ◽  
Alexander Komarov ◽  
Jagtar Bhatti ◽  
Marina Nadporozhskaya ◽  
...  
Keyword(s):  
Climate Change ◽  
Boreal Forest ◽  
Soil Carbon ◽  
Forest Soil ◽  
Forest Ecosystem ◽  
Forest Ecosystems ◽  
Jack Pine ◽  
Stand Age ◽  
Natural Disturbances ◽  
Individual Tree

Sustainability of forest ecosystems and climate change are two critical issues for boreal forest ecosystems in Canada that require an understanding of the links and balance between productivity, soil processes and their interaction with natural and anth ropogenic disturbances. Forest ecosystem models can be used to understand and predict boreal forest ecosystem dynamics. EFIMOD 2 is an individual tree model of the forest-soil ecosystem capable of modelling nitrogen feedback to productivity in response to changes in soil moisture and temperature. It has been successfully applied in Europe, but has not been calibrated for any forest ecosystem in Canada. The objective of this study was to parameterize and validate EFIMOD 2 for jack pine in Canada. Simulated and measured results agreed for changes in tree biomass carbon and soil carbon and nitrogen with increasing stand age and across a climatic gradient from the southern to northern limits of the boreal forest. Preliminary results from scenario testing indicate that EFIMOD 2 can be successfully applied to predict the impacts of forest management practices and climate change in the absence of natural disturbances on jack pine in the boreal forest of Canada. Model development is underway to represent the effects of natural disturbances. Key words: EFIMOD 2, forest soil, carbon, nitrogen, model, jack pine

scholarly journals Boreal forest soil carbon fluxes one year after a wildfire: effects of burn severity and management

2021 ◽  
Author(s):  
Julia Kelly ◽  
Theresa S. Ibáñez ◽  
Cristina Santín ◽  
Stefan H. Doerr ◽  
Marie‐Charlotte Nilsson ◽  
...  
Keyword(s):  
Boreal Forest ◽  
Soil Carbon ◽  
Forest Soil ◽  
Carbon Fluxes ◽  
Burn Severity ◽  
Wildfire Effects ◽  
One Year

scholarly journals Temperature sensitivity of soil carbon fractions in boreal forest soil

Ecology ◽  
2010 ◽  
Vol 91 (2) ◽  
pp. 370-376 ◽  
Author(s):  
Kristiina Karhu ◽  
Hannu Fritze ◽  
Kai Hämäläinen ◽  
Pekka Vanhala ◽  
Högne Jungner ◽  
...  
Keyword(s):  
Boreal Forest ◽  
Soil Carbon ◽  
Forest Soil ◽  
Temperature Sensitivity ◽  
Carbon Fractions ◽  
Soil Carbon Fractions

scholarly journals Modeling relevant factors and covariates of carbon stock changes in peatlands using a hierarchical linear mixed modeling approach

2020 ◽  
Author(s):  
Kilian Walz ◽  
Kenneth A Byrne ◽  
David Wilson ◽  
Florence Renou-Wilson
Keyword(s):  
Soil Carbon ◽  
Environmental Protection Agency ◽  
Land Surface ◽  
Carbon Stock ◽  
Dimensional Space ◽  
Carbon Stocks ◽  
Carbon Distribution ◽  
Soil Carbon Stock ◽  
Modeling Approach ◽  
The Impact

<p>While peatlands constitute the largest soil carbon stock in Ireland with 75% of soil carbon stored in an area covering an estimated 20% of the land surface, carbon stocks of peatlands are affected by past and present disturbances related to various land uses. Afforestation, grazing and peat extraction for energy and horticultural use often are major drivers of peatland soil degradation. A comparative assessment of the impact of land disturbance on peatland soil carbon stocks on a national scale has been lacking so far. Current research, funded by the Irish Environmental Protection Agency (EPA), addresses this issue with the goal to fill various gaps related to mapping and modeling changes of soil carbon stock in Irish peatlands. Data from the first nationwide peatland survey forms the basis for this study, in which the influence of different factors and covariates on soil carbon distribution in peatlands is examined. After data exploratory analysis, a mixed linear modeling approach is tested for its suitability to explain peatland soil carbon distribution within the Republic of Ireland. Parameters are identified which are responsible for changes across the country. In addition, model performance to map peat soil carbon stock within a three-dimensional space is evaluated.</p>

Sign in / Sign up

Export Citation Format

Share Document