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General

Meta data ID	{9B470189-692E-495F-BDC1-B91C9B259659}
Last modified	2020-06-30T11:09:16

Dataset creators

Contact person

First name	Maria
Last name	Holmberg
Email	maria.holmberg@syke.fi
Organisation	Syke

Dataset creators

First name	Maria
Last name	Holmberg
Organisation	Syke

Dataset creators

First name	Iida
Last name	Autio
Organisation	Syke

Dataset creators

First name	Saku
Last name	Anttila
Organisation	Syke

Dataset creators

First name	Anikki
Last name	Mäkelä
Organisation	University of Helsinki, Department of Forest Sciences

Dataset creators

First name	Francesco
Last name	Minunno
Organisation	University of Helsinki, Department of Forest Sciences

Dataset creators

First name	Mikko
Last name	Peltoniemi
Organisation	Natural Resources Institute (LUKE)

Dataset creators

First name	Sakari
Last name	Tuominen
Organisation	Natural Resources Institute (LUKE)

Dataset creators

First name	Aleksi
Last name	Lehtonen
Organisation	Natural Resources Institute (LUKE)

Dataset creators

First name	Markus
Last name	Haakana
Organisation	LUKE

Dataset creators

First name	Anu
Last name	Akujärvi
Organisation	Syke

Dataset creators

First name	Pekka
Last name	Vanhala
Organisation	Syke

Dataset creators

First name	Martin
Last name	Forsius
Organisation	Syke

Dataset creators

First name	Kari
Last name	Minkkinen
Organisation	University of Helsinki, Department of Forest Sciences

Dataset creators

First name	Paavo
Last name	Ojanen
Organisation	University of Helsinki, Department of Forest Sciences

Project

Project name	oGIIR (open Geospatial Information Infrastructure for Research); IBC-Carbon (Integrated Biodiversity Conservation and Carbon Sequestration in the Changing Environment); eLTER PLUS; Freshabit LIFE IP
Project funder	Academy of Finland; FIRI; Strategic Research Council (SRC); EU H2020 INFRAIA; EU LIFE IP
Project identifier	oGIIR ;IBC-Carbon SRC 2017/312559; eLTER PLUS 871128; FRESHABIT LIFE IP (LIFE14/IPE/FI/023); SOMPA SRC 2017/312912

Description

Basic information

Dataset title	Greenhouse gas net emissions for forests in Kokemäenjoki river basin. Calculated for Syke regional compilation of GHG net emissions related to land use.
Theme	Environment and Conservation
Description	The carbon net emissions from the forested areas in Kokemäenjoki river basin are based on the results of the forest growth and gas exchange model PREBAS (Minunno et al. 2016, 2019). The model was used to calculate the amount of harvested biomass (gC m-2 yr-1), as well as the net ecosystem exchange NEE (gC m-2 yr-1) for current climate conditions assuming forest management actions in accordance with current best practices (Sved and Koistinen 2015). NEE is positive when the C flux from the decomposition of soil organic matter is larger than the assimilation of C into growing vegetation, and negative when the assimilation of C into growing vegetation is larger than the C flux from decomposing soil organic matter. In the case of forests growing on upland soils, the PREBAS model is linked to the soil carbon model YASSO07 (Tuomi et al. 2009) to account for soil respiration. For forests on drained peatland soils, emissions from soil respiration are based on measured soil respiration including both peat decomposition and litter decomposition (or accumulation) (Minkkinen et al. 2018; Ojanen et al. 2010, 2013, 2019). The net emissions of forests were calculated by adding the NEE to the amount of harvested biomass. Net emissions are positive when the forest acts as a source of CO2 to the atmosphere, and negative when the forest is a sink. Carbon emissions were converted to CO2 by multiplying with 44/12. References Minkkinen, K., Ojanen, P., Penttilä, T., Aurela, M., Laurila, T., Tuovinen, J.-P., Lohila, A., 2018. Persistent carbon sink at a boreal drained bog forest. Biogeosciences 15: 3603-3624. https://doi.org/10.5194/bg-15-3603-2018 Minunno F, Peltoniemi M, Launiainen S, Aurela M, Lindroth A, Lohila A, Mammarella I, Minkkinen K, Mäkelä A, 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. Ecological Modelling 341:37-52. https://doi.org/10.1016/j.ecolmodel.2016.09.020 Minunno F, Peltoniemi M, Härkönen S, Kalliokoski T, Makinen H, Mäkelä A, 2019. Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory. Forest Ecology and Management 440:208-257. https://doi.org/10.1016/j.foreco.2019.02.041 Ojanen, P., Minkkinen, K., Alm, J., Penttilä, T., 2010. Soil–atmosphere CO2, CH4 and N2O fluxes in boreal forestry-drained peatlands. For. Ecol. Manage. 260, 411–421. https://doi.org/10.1016/j.foreco.2010.04.036 Ojanen, P., Minkkinen, K., Penttilä, T., 2013. The current greenhouse gas impact of forestry-drained boreal peatlands. For. Ecol. Manage. 289, 201–208. https://doi.org/10.1016/j.foreco.2012.10.008 Ojanen, P., Penttilä, T., Tolvanen, A., Hotanen, J.-P., Saarimaa, M., Nousiainen, H., Minkkinen, K., 2019. Long-term effect of fertilization on the greenhouse gas exchange of low-productive peatland forests. Forest Ecology and Management 432: 786-798. https://doi.org/10.1016/j.foreco.2018.10.015 Sved, J., Koistinen, A. (ed.) (2015). Metsänhoidon suositukset kannattavaan metsätalouteen, työopas. In Finnish (Best Practices for Profitable Forest Management). Publications by Tapio Group http://tapio.fi Available in Finnish https://tapio.fi/wp-content/uploads/2015/09/MHS_Kannattava_metsatalous_201500814.pdf Accessed 30.6.2020. Tomppo, E., Katila, M., Mäkisara, K., and Peräsaari, J. (2014). The Multi-source National Forest Inventory of Finland – methods and results 2011. 224 pp. http://urn.fi/URN:ISBN:978-951-40-2516-7 Tuomi, M., Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmo, M. et al. (2009). Leaf litter decomposition – Estimates of global variability based on Yasso07 model. Ecol. Modell. 220:3362–3371. https://doi.org/10.1016/j.ecolmodel.2009.05.016
Language (dataset)	English
Keyword	greenhouse gas
Keyword	emission
Keyword	sink
Keyword	forest

Data processing steps

processing

Description

LUKE segmentation of MVMI data The state of forests at the beginning of forest carbon balance simulations was based on MS-NFI (Multi Source – National Forest Inventory) maps, which describe the forest parameters in the form of thematic maps across Finland at 16 x 16 m resolution. MS-NFI maps are based on combining the information of NFI field measurements, satellite imagery and digital map data (Tomppo et al. 2014). Forest data was further segmented to homogeneous units which were simulated with the PREBAS model.

Data processing steps

processing

Description

HY PREBAS simulation of harvested biomass, and net ecosystem productivity for current climate over the period 2017- 2025, assuming current practices of forest management. For forests growing on upland soils, the PREBAS model simulations were linked to estimates of soil respiration by the soil carbon model Yasso07 (Tuomi et al. 2009). For forest on drained peatland soils, soil respiration estimates were based on measured data, including both decompoisition of peat, and decomposition or accumulation of litter (Minkkinen et al. 2018; Ojanen et al. 2010, 2013, 2019).

Data processing steps

processing

Description

Syke received PREBAS simulation results on net ecosystem productivity (NEP, gC/m2/yr) and carbon in harvested biomass (Wharvested, kgC/ha/yr) as raster files calculated by the Univeristy of Helsinki. The negative of NEP was used for net ecosystem exchange (NEE, gC/m2/yr), as emissions are here represented by positive values and sinks by negative values. Net forest emissions were calculated as the sum of harvest and net ecosystem exchange. From these rasters, polygons of undrained mires were excluded, using Syke derived spatial data on location of undrained mires. The remaining PREBAS simulation results were converted to gCO2eq/m2/yr.

Material time period

Start date	2017-01-01
End date	2025-12-31

Area

West Bounding Longitude	21.64
East Bounding Longitude	25.36
South Bounding Latitude	60.59
North Bounding Latitude	62.88

Distribution

Contact person

First name	Maria
Last name	Holmberg
Email	maria.holmberg@syke.fi
Organisation	Syke

The license for open SYKE's open datasets is Creative Commons Attribution 4.0 International.

The data described here can be freely used to all purposes, provided that the source of the data is mentioned.

The citation for the dataset as given above.

Further information on the license:
https://creativecommons.org/licenses/by/4.0/legalcode (English)
https://creativecommons.org/licenses/by/4.0/legalcode.fi (Finnish)

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