Maps of soil organic carbon stocks in Norwegian forests

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Hagenbo, Andreas, 2025, "Maps of soil organic carbon stocks in Norwegian forests", https://doi.org/10.18710/CL5RSP, DataverseNO, V1

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Description	Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest floor (LFH layer), and (3) 0–30 cm into the mineral soil. (2025-04-22)
Subject	Earth and Environmental Sciences
Keyword	soil organic carbon stocks, SOC, soil, carbon, forest, machine learning
Related Publication	Hagenbo, A., Dalsgaard, L., Hauglin, M., Eisner, S., Strand, L.T., Kjønaas, O.J., 2025. Spatial predictive modeling of soil organic carbon stocks in Norwegian forests. Science of The Total Environment 980, 179451. doi: 10.1016/j.scitotenv.2025.179451
License/Data Use Agreement	CC0 1.0

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	00_README.txt Plain Text - 4.4 KB Published May 2, 2025 0 Downloads MD5: c171180ce0552439369be9f9d750c419	Preview "00_README.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	c.stock.1m.national.tif TIFF Image - 13.7 GB Published May 2, 2025 0 Downloads MD5: 1cc9417569a780309fc3034e8df038ef Spatial prediction of soil organic carbon stocks (0 - 1m) in Norwegian forests.	Preview "c.stock.1m.national.tif" Access File File Access Public Download Options TIFF Image Download Metadata Data File Citation EndNote XML RIS BibTeX
	c.stock.LFH.national.tif TIFF Image - 13.7 GB Published May 2, 2025 2 Downloads MD5: 5784fb075b813e1be5a7ab0393743249 Spatial prediction of soil organic carbon stocks in the LFH layer in Norwegian forests.	Preview "c.stock.LFH.national.tif" Access File File Access Public Download Options TIFF Image Download Metadata Data File Citation EndNote XML RIS BibTeX
	c.stock.mineral.30cm.national.tif TIFF Image - 13.7 GB Published May 2, 2025 1 Download MD5: 25a1efb4320cb2e564023579ab02aec2 Spatial prediction of soil organic carbon stocks in the upper mineral soil layer (beneath the LFH layer) down to 30 cm depth.	Preview "c.stock.mineral.30cm.national.tif" Access File File Access Public Download Options TIFF Image Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18710/CL5RSP
Publication Date	2025-05-02
Title	Maps of soil organic carbon stocks in Norwegian forests
Author	Hagenbo, Andreas (Norwegian Institute of Bioeconomy Research (NIBIO)) - ORCID: 0000-0002-4192-0511
Point of Contact	Use email button above to contact. Hagenbo, Andreas (Norwegian Institute of Bioeconomy Research (NIBIO))
Description	Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest floor (LFH layer), and (3) 0–30 cm into the mineral soil. (2025-04-22)
Subject	Earth and Environmental Sciences
Keyword	soil organic carbon stocks SOC soil carbon forest machine learning
Related Publication	Hagenbo, A., Dalsgaard, L., Hauglin, M., Eisner, S., Strand, L.T., Kjønaas, O.J., 2025. Spatial predictive modeling of soil organic carbon stocks in Norwegian forests. Science of The Total Environment 980, 179451. doi: 10.1016/j.scitotenv.2025.179451 https://doi.org/10.1016/j.scitotenv.2025.179451
Language	English
Producer	Norwegian Institute of Bioeconomy Research (NIBIO) (NIBIO) https://www.nibio.no/en
Contributor	Other : ICP Forest monitoring program on forest health
Funding Information	The Research Council of Norway: 342631/L10 European Union’s Horizon 2020 research and innovation programme: 696356
Distributor	Norwegian Institute of Bioeconomy Research (NIBIO) (NIBIO) https://www.nibio.no
Distribution Date	2025-04-23
Depositor	Hagenbo, Andreas
Deposit Date	2025-04-22
Date of Collection	Start Date: 2022-04-11 ; End Date: 2022-04-11
Data Type	Digital maps
Series	INVENT project: The purpose of the map presented here is to provide spatial information on soil organic carbon (SOC) stocks in Norwegian forests. The maps are based on predictive boosted regression tree (BRT) models, which were also used to identify key covariates influencing SOC. Based on these covariates, we discuss the main factors that potentially explain SOC variation in Norwegian forests in doi:10.1016/j.scitotenv.2025.179451.
Software	R, Version: 3.5.2 qGIS, Version: 3.22.5
Related Material	Breidenbach, J., Waser, L.T., Debella-Gilo, M., Schumacher, J., Rahlf, J., Hauglin, M., Puliti, S., Astrup, R., 2021. National mapping and estimation of forest area by dominant tree species using Sentinel-2 data. Can. J. For. Res. 51, 365–379. https://doi.org/10.1139/cjfr-2020-0170; Callesen, I., Liski, J., Raulund-Rasmussen, K., Olsson, M.T., Tau-Strand, L., Vesterdal, L., Westman, C.J., 2003. Soil carbon stores in Nordic well-drained forest soils—relationships with climate and texture class. Global Change Biology 9, 358–370. https://doi.org/10.1046/j.1365-2486.2003.00587.x; Esser, J.M., Nyborg, Å., 1992. Jordsmonn i barskog — en oversikt for Norge. [Monitoring of soils in coniferous forests in Norway]. Nor. Inst. Land Inventory NIJOS Rapp. 392.; Greenwell, B., Boehmke, B., Cunningham, J., et al., 2022. gbm: generalized boosted regression models. R package version 2.1.8.1. Retrieved from https://CRAN.R-project.org/package=gbm.; Hauglin, M., Rahlf, J., Schumacher, J., Astrup, R., Breidenbach, J., 2021. Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data. Forest Ecosystems 8, 65. https://doi.org/10.1186/s40663-021-00338-4; Hijmans, R.J., Phillips, S., Leathwick, J., Elith, J., 2022. dismo: species distribution modeling. R package version 1.3-9. Retrieved from https://CRAN.R-project.org/package=dismo.; R Core Team, 2017. R: A language and environment for statistical computing version 3.5.2. R foundation for statistical computing, Vienna, Austria. https://www.R-project.org/.; de Wit, H.A. de, Kvindesland, S., 1999. Carbon stocks in Norwegian forest soils and effects of forest management on carbon storage, 56. Norsk institutt for skogforskning.; Wright, R., Mulder, J., Esser, J.M., 1999. Soils in mountain and upland regions of southwestern Norway nitrogen leaching and critical loads, 45. Norsk institutt for vannforskning.
Other Reference	Strand, L.T., Callesen, I., Dalsgaard, L., de Wit, H.A., 2016. Carbon and nitrogen stocks in Norwegian forest soils — the importance of soil formation, climate, and vegetation type for organic matter accumulation. Can. J. For. Res. 46, 1459–1473. https://doi.org/10.1139/cjfr-2015-0467
Origin of Historical Sources	ICP forest monitoring program on forest health.
Documentation and Access to Sources	Lorenz, M., 1995. International co-operative programme on assessment and monitoring of air pollution effects on forests-ICP forests. Water Air Soil Pollut. 85, 1221–1226. https://doi.org/10.1007/BF00477148.

Geospatial Metadata

Geographic Coverage	Norway, National, UTM 33
Geographic Unit	meters
Geographic Bounding Box	4.09 31.76 71.38 57.76

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