Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2013
Authors
Signe Kynding Borgen Gro HylenAbstract
Every year the Norwegian Forest and Landscape Institute submits the national GHG inventory for the land use, land-use change and forestry sector as part of the National Inventory Report (NIR). The methodology and activity data used to estimate CO2 emissions and removals from cropland and grassland were thoroughly evaluated in 2012 and several new methods were implemented in the 2013 NIR submission. The objective of this report is to present the results of this evaluation and to provide detailed documentation of the new methodologies and the emissions reported in the 2013 NIR submission to UNFCCC for cropland and grassland (CPA, 2013). This report describes four major topics: 1) Method choice for mineral soils. The erosion-based method previously used for mineral soils on both cropland and grassland cannot be considered appropriate. It was replaced by a Tier 2 method for cropland remaining cropland (considering effects of crop rotation, tillage, crop residues and manure inputs) and a Tier 1 method for grassland remaining grassland (considering effects of grassland management practice). 2) Evaluation of the emission factor used for organic soil and the area estimate. A review of Scandinavian literature did not support changing the emission factor value but the areas of cultivated organic soils were re-defined under cropland and grassland. 3) A Tier 1 methodology that can be used to estimate soil carbon stock changes on land-use conversion to grassland and cropland as well as all other land-use change conversion. 4) Uncertainty estimation for all source/sink categories are presented including the use of IPCC default uncertainty estimates when relevant.
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An 11-year remotely sensed surface albedo dataset coupled with historical meteorological and stand-level forest management data for a variety of stands in Norway’s most productive logging region is used to develop regression models describing temporal changes in forest albedo following clear-cut harvest disturbance events. Datasets are grouped by dominant tree species, and two alternate multiple regression models are developed and tested following a potential-modifier approach. This result in models with statistically significant parameters (p < 0.05) that explain a large proportion of the observed variation, requiring a single canopy modifier predictor coupled with either monthly or annual mean air temperature as a predictor of a stand’s potential albedo. Models based on annual mean temperature predict annual albedo with errors (RMSE) in the range of 0.025–0.027, while models based on monthly mean temperature predict monthly albedo with errors ranging between of 0.057–0.065 depending on the dominant tree species. While both models have the potential to be transferable to other boreal regions with similar forest management regimes, further validation efforts are required. As active management of boreal forests is increasingly seen as a means to mitigate climate change, the presented models can be used with routine forest inventory and meteorological data to predict albedo evolution in managed forests throughout the region, which, together with carbon cycle modeling, can lead to more holistic climate impact assessments of alternative forest harvest scenarios and forest product systems.
Authors
Asbjørn Veidal Tor KorneliussenAbstract
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Authors
Lampros LamprinakisAbstract
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Authors
Anne-Grete Roer Hjelkrem Astrid Johansen Anne Kjersti Bakken Kristin Daugstad Gustav Fystro Anders Hammer StrømmanAbstract
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Nicholas ClarkeAbstract
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Authors
Audun Korsæth Anne Zimmer Jacobsen Anne-Grete Roer Hjelkrem Trond Henriksen U. Sonesson Arne Oddvar Skjelvåg Helge Bonesmo Anders Hammer StrømmanAbstract
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Abstract
No abstract has been registered