Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland

Introduction A new method for estimating carbon dioxide emissions from rained peatland forest soils was developed for the Greenhouse Gas Inventory of Finland (GHG inventory). The method is based on a set of models (Ojanen et al. 2014, Tuomi et al., 2009) that dynamically compile all relevant carbon...

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Main Authors: Alm, Jukka, Wall, Antti, Myllykangas, Jukka-Pekka, Ojanen, Paavo, Heikkinen, Juha, Henttonen, Helena M., Laiho, Raija, Minkkinen, Kari, Tuomainen, Tarja, Mikola, Juha
Format: Other/Unknown Material
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.8354397
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spelling ftzenodo:oai:zenodo.org:8354397 2024-09-15T18:25:38+00:00 Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland Alm, Jukka Wall, Antti Myllykangas, Jukka-Pekka Ojanen, Paavo Heikkinen, Juha Henttonen, Helena M. Laiho, Raija Minkkinen, Kari Tuomainen, Tarja Mikola, Juha 2023-09-18 https://doi.org/10.5281/zenodo.8354397 eng eng Zenodo https://doi.org/10.5194/bg-20-1-2023, 2023. https://zenodo.org/communities/lukefinland https://doi.org/10.5281/zenodo.8354396 https://doi.org/10.5281/zenodo.8354397 oai:zenodo.org:8354397 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode peatland soil carbon dioxide balance time series method greenhouse gas inventory Finland info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.835439710.5194/bg-20-1-202310.5281/zenodo.8354396 2024-07-26T13:22:34Z Introduction A new method for estimating carbon dioxide emissions from rained peatland forest soils was developed for the Greenhouse Gas Inventory of Finland (GHG inventory). The method is based on a set of models (Ojanen et al. 2014, Tuomi et al., 2009) that dynamically compile all relevant carbon inputs and outputs into a time series of soil CO 2 emission. A complete description of the method is described in Alm et al. (2023). Here we present the input data and R-scripts (R Core Team, 2020) for computing the time series from year 1990 to 2022 of CO 2 emission from soil in forest land on drained organic soil, like it was reported by the Finnish GHG inventory (Statistics Finland, 2023). Time series data The source of forest and area data is the Finnish National Forest Inventory (NFI) as a part of Luke Statutory Services. The NFI standing forest data in the data files includes annual country-wide estimates of mean basal area and standing biomass of Scots pine ( Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst) and all the broadleaved forest trees combined. The data concerns forest land on drained organic soil only (class FRA 1 according to the FAO forest land definition). The NFI data for each year has been averaged by different drained peatland forest site types (FTYPE) and by inventory regions of southern and northern Finland. The areas and proportions of FTYPEs of all drained peatland “forests remaining forests” (i.e., forests that have not undergone another change in land use in the past 20 years) in southern and northern Finland (Alm et al., 2023), derived from NFI12 (2014–2018). Annual litter input from harvest residues was estimated using statistics of harvested stem volumes by species, collected and published by Luke (Luke statistics). The stem volumes were converted to whole trees and further to litter fractions and further to The share of residues remaining in forest is estimated by subtracting the amount of the logging residues collected for energy use, the data obtained from Luke ... Other/Unknown Material Northern Finland Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic peatland
soil carbon dioxide balance
time series
method
greenhouse gas inventory
Finland
spellingShingle peatland
soil carbon dioxide balance
time series
method
greenhouse gas inventory
Finland
Alm, Jukka
Wall, Antti
Myllykangas, Jukka-Pekka
Ojanen, Paavo
Heikkinen, Juha
Henttonen, Helena M.
Laiho, Raija
Minkkinen, Kari
Tuomainen, Tarja
Mikola, Juha
Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
topic_facet peatland
soil carbon dioxide balance
time series
method
greenhouse gas inventory
Finland
description Introduction A new method for estimating carbon dioxide emissions from rained peatland forest soils was developed for the Greenhouse Gas Inventory of Finland (GHG inventory). The method is based on a set of models (Ojanen et al. 2014, Tuomi et al., 2009) that dynamically compile all relevant carbon inputs and outputs into a time series of soil CO 2 emission. A complete description of the method is described in Alm et al. (2023). Here we present the input data and R-scripts (R Core Team, 2020) for computing the time series from year 1990 to 2022 of CO 2 emission from soil in forest land on drained organic soil, like it was reported by the Finnish GHG inventory (Statistics Finland, 2023). Time series data The source of forest and area data is the Finnish National Forest Inventory (NFI) as a part of Luke Statutory Services. The NFI standing forest data in the data files includes annual country-wide estimates of mean basal area and standing biomass of Scots pine ( Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst) and all the broadleaved forest trees combined. The data concerns forest land on drained organic soil only (class FRA 1 according to the FAO forest land definition). The NFI data for each year has been averaged by different drained peatland forest site types (FTYPE) and by inventory regions of southern and northern Finland. The areas and proportions of FTYPEs of all drained peatland “forests remaining forests” (i.e., forests that have not undergone another change in land use in the past 20 years) in southern and northern Finland (Alm et al., 2023), derived from NFI12 (2014–2018). Annual litter input from harvest residues was estimated using statistics of harvested stem volumes by species, collected and published by Luke (Luke statistics). The stem volumes were converted to whole trees and further to litter fractions and further to The share of residues remaining in forest is estimated by subtracting the amount of the logging residues collected for energy use, the data obtained from Luke ...
format Other/Unknown Material
author Alm, Jukka
Wall, Antti
Myllykangas, Jukka-Pekka
Ojanen, Paavo
Heikkinen, Juha
Henttonen, Helena M.
Laiho, Raija
Minkkinen, Kari
Tuomainen, Tarja
Mikola, Juha
author_facet Alm, Jukka
Wall, Antti
Myllykangas, Jukka-Pekka
Ojanen, Paavo
Heikkinen, Juha
Henttonen, Helena M.
Laiho, Raija
Minkkinen, Kari
Tuomainen, Tarja
Mikola, Juha
author_sort Alm, Jukka
title Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
title_short Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
title_full Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
title_fullStr Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
title_full_unstemmed Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
title_sort data and r-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of finland
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.8354397
genre Northern Finland
genre_facet Northern Finland
op_relation https://doi.org/10.5194/bg-20-1-2023, 2023.
https://zenodo.org/communities/lukefinland
https://doi.org/10.5281/zenodo.8354396
https://doi.org/10.5281/zenodo.8354397
oai:zenodo.org:8354397
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.835439710.5194/bg-20-1-202310.5281/zenodo.8354396
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