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32 results for “Peatland forest”
Marcell Experimental Forest 30-minute water table elevation and temperature from transects of wells in the S2 and S6 peatlands, 2018-ongoing
This data publication contains 30-minute water table elevation and temperature data collected along bog to lagg transects within two watersheds at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. The bog to lagg transects are located on the north and south sides of S2 and S6 peatlands and contain three surface water wells each. The water table elevations provide information to calculate the hydraulic gradients that drive flow to and from the bogs. The collection of these data was funded by the US Department of Energy. The research program at Marcell Experimental Forest is managed by the USDA Forest Service Northern Research Station.
Marcell Experimental Forest daily peatland water table elevation, 1961 - ongoing
This data publication contains daily water table elevation data collected from 1961-ongoing at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. The data come from seven peatlands instrumented for hydrologic monitoring.
4.5 years of peatland forest N2O flux data data measured using automatic chambers
<p>The data contains daily mean N2O fluxes and supporting environmental data from June 2015 to September 2019. The measurement site is Lettosuo peatland forest (ICOS associate site, FI-Let) located in Tammela, Finland. The site is nutrient-rich and drained for forestry in 1969. Light selection harvest was done at the automatic chamber location in March 2016. Six automatic chambers operated year-round and each chamber measured N2O flux once in an hour. Environmental variables were measured close to the automatic chambers or in the nearest automatic weather station. For more information about the site and automatic chamber system, see Koskinen et al., (2014) and Korkiakoski et al. (2017, 2020).</p>
Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest
These data are simultaneous and continuous measurements of carbon, water and energy fluxes of the terrestrial landscape. These fluxes are major regulatory drivers of the boreal climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. At the APEX project site, within Bonanza Creek Experimental Forest, this monitoring is repeated across a chronosequence of permafrost degradation; the Black Spruce site is an area of stable permafrost with intact black spruce forest (APEX gamma site), the Thermokarst site is an active thermokarst zone with considerable tree mortality (APEX betaSW site), the Fen site is within a stable treeless fen with deep active layer depth (APEX apexcon,low, and ele sites). The main variables being monitored are the instananeous fluxes of CO2, water vapor and surface energy (shortwave, longwave and net radiation), secondary variables included photosynthetically active radiation (PAR), air and soil temperatures, rainfall, snow depth, soil moisture content, wind direction and speed, and average atmospheric concentrations of CO2 and H2O through the year.
Reactive nitrogen fluxes over peatland (Bourtanger Moor) and forest (Bavarian Forest National Park) using micrometeorological measurement techniques
<p>Within the framework of the research projects NITROSPHERE and FORESTFLUX, field campaigns were carried out to investigate the biosphere-atmosphere exchange of reactive nitrogen compounds. We applied novel fast-response instruments in eddy-covariance setups for continuous determination of surface ammonia (NH<sub>3</sub>) and total reactive nitrogen (<span class="math-tex">\(\Sigma\)</span>N<sub>r</sub>) fluxes using two different analytical devices. While high-frequency measurements of ammonia were measured with a quantum cascade laser absorption spectrometer (QCL), a custom-built converter called TRANC coupled to a chemiluminescence detector was used for the determination of total reactive nitrogen. High-resolution data of surface-atmosphere fluxes of reactive compounds are still scarce, but highly desired for testing and validating local inferential and larger scale models. We provide access to campaign data including concentrations, fluxes and ancillary measurements of meteorological data. Campaigns were conducted in natural (forest) and semi-natural (peatland) ecosystem types. The published datasets stress the importance of recent advancements in laser spectrometry and help improve our understanding of the temporal variability of surface-atmosphere exchange in different ecosystems, thereby providing validation opportunities for inferential models simulating the exchange of reactive nitrogen.</p>
Soil gas concentration and flux data from two peatland forest harvesting experiments in Southern Finland
<p>The dataset contains data analyzed in a scientific manuscript Peltoniemi et al., <em>Soil CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O concentrations and fluxes in peatland forests are associated with water table level - implications of selection harvesting on soil emissions</em>, in review.</p> <p>The data was collected from two peatland forests. The sites Lettosuo (60.63° N, 23.95° E ) and Paroninkorpi (61.01°N, 24.75°E) locate in southern Finland, and they are fertile drained spruce mires. Both sites have unharvested control and selection harvested treatments.</p> <p>The dataset contains CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O and O<sub>2</sub> concentrations analyzed by gas chromatograph from soil gas samples collected with silicon rubber tubes inserted into soil at different depths over the year 2018-2020. The dataset additionally contains soil gas flux measurements in 2020 with a portable gas analyzer. Air temperature and water table level were measured at both sites, rainfall in nearby meteorological stations, and soil redox potential at one of the sites (Paroninkorpi).</p> <p>More information about the research sites and data is available in the manuscript, and Laurila et al., 2020 (<a href="http://urn.fi/URN:ISBN:978-952-380-191-2">http://urn.fi/URN:ISBN:978-952-380-191-2</a>).</p>
Marcell Experimental Forest biweekly surface water and monthly porewater chemistry at Bog Lake Peatland, 2007 - ongoing
This data set reports the chemistry of surface and porewater water from the Bog Lake peatland in the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. Surface water has been collected about every other week since 2007 from a pool of water and sampling is ongoing. Once covered with ice, water was typically sampled once a month. Porewaters at five depths (0 to 2 m depths) have been collected about monthly from three different nest of piezometers since 2013, though never when samplers were frozen. Samples are measured for pH, specific conductivity, anions (chloride, sulfate), cations (calcium, magnesium, potassium, sodium, aluminum, iron, manganese, strontium), silicon, nutrients (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), and total organic carbon.
A Peatland Sub-Class Map for the Canadian Boreal Forest
<p><strong>Authors: </strong><br>Pontone, N., Millard, K., Thompson, D. K., Guindon, L., Beaudoin A. (2024)</p> <p><br><strong>Contact:</strong><br>NicholasPontone@cmail.carleton.ca</p> <p> </p> <p><strong>Description:</strong><br>A map of peatland sub-classes (bog, poor fen, rich fen and permafrost peat complex) for the Canadian Boreal Forest circa 2020 created using a three-stage hierarchical classification framework. Training and validation data consisted of peatland locations derived from various sources (field data, aerial photo interpretation, measurements documented in literature). A combination of multispectral data, L-band SAR and C-Band interferometric SAR coherence, forest structure, and ancillary variables were used as model predictors. Ancillary data were used to mask agricultural areas and urban regions, and account for regions that may exhibit permafrost</p> <p><br><strong>Pixel Values:</strong></p> <p>1: Bog<br>2: Rich Fen<br>3: Poor Fen<br>4: Peatland Permafrost Complex<br>5: Mineral Wetlands<br>6: Water<br>7: Upands<br>8: Agriculture<br>9: Urban</p> <p><br><strong>Recommended Colours</strong></p> <p>1: 4C0073<br>2: FFFF00<br>3: E64C00<br>4: 727272<br>5: F4C2C2<br>6: 0070FF<br>7: 4C7300<br>8: 623131<br>9: 000000</p> <p> </p> <p><strong>Please cite as:</strong></p> <p>Pontone, N., Millard, K., Thompson, D.K., Guindon, L. and Beaudoin, A. (2024), A hierarchical, multi-sensor framework for peatland sub-class and vegetation mapping throughout the Canadian boreal forest. Remote Sens Ecol Conserv. https://doi.org/10.1002/rse2.384</p> <p> </p> <p>This data was released in combination with PALSAR-2 L-band dual-polarized radar backscatter summer composites (circa 2020). </p> <p>Beaudoin, A., Villemaire, P., Gignac, C., Tolszczuk, S., Guindon, L., Pontone, N., Millard, C. (2024). Canada’s PALSAR-2 dual-polarized L-band radar summer backscatter composite, circa 2020. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. <a href="https://doi.org/10.23687/8ec4ee78-9240-4bd0-9c97-d3a27829e209" target="_blank" rel="nofollow noopener">https://doi.org/10.23687/8ec4ee78-9240-4bd0-9c97-d3a27829e209</a></p> <p>The peatland map is also available as a Google Earth Engine asset (projects/ee-peatlandthesis/assets/PeatlandMap8b_2023_07_17). </p> <p> </p>
Original data for the paper "Ericaceous dwarf shrubs in drained forested peatlands: distribution, dynamics and key factors in a restoration experiment"
Open the record for dataset details and reuse information.
Methane and Carbon Dioxide Production and Emission Pathways in the Belowground and Draining Water Bodies of a Tropical Peatland Plantation Forest
<p>This is the data repository for the second version (revised) of the manuscript "Methane and Carbon Dioxide Production and Emission Pathways in the Belowground and Draining Water Bodies of a Tropical Peatland Plantation Forest<strong>"</strong> submitted to Geophysical Research Letters on 10 January 2025.</p>
Skogaryd data used for the paper: Evaluation of long-term carbon dynamics in a drained forested peatland using the ForSAFE-Peat Model.
<p>Dataset of abiotic and carbon exchange variables for Skogaryd drained afforested peatland. The dataset include measurements of soil temperature, ground water level, and carbon exhange as well as modelled carbon fluxes performed with the model ForSAFE-Peat </p>
Partial cutting of a boreal nutrient-rich peatland forest causes radically less on-site CO2 emissions than clear-cutting
<p>This package contains the data used in the research article: "Partial cutting of a boreal nutrient-rich peatland forest causes radically less on-site CO2 emissions than clear-cutting" published in Agricultural and Forest Meteorology.</p> <p>LAI_data.xlsx - Contains Leaf Area Index data and their standard deviations for all the measured areas</p> <p>WTL_data.csv - Contains the mean water table level data for pre-harvest, partial harvest and clearcut areas.</p> <p>Lettosuo_2010-2015_Section_A_fluxes.csv - Contains the pre-harvest (2010-2015) carbon flux data for Section A.</p> <p>Lettosuo_2010-2015_Section_BCD_fluxes.csv - Contains the pre-harvest carbon flux data for Section BCD.</p> <p>Lettosuo_2016-2021_Section_AB_(partialcut).csv - Contains the carbon flux data for the partial cut area (2016-2021, Section AB).</p> <p>Lettosuo_2016-2021_Section_D_(Clearcut).csv - Contains the carbon flux data for the clear-cut area (2016-2021, Section D)</p> <p>The carbon flux data files contain the following columns:</p> <p>Gapfilled PAR - Gapfilled photsynthetically active radiation</p> <p>Gapfilled air temperature - Gapfilled air temperature</p> <p>Measured NEE - Filtered NEE data</p> <p>Modelled TER - Modelled total ecosystem respiration</p> <p>Modelled GPP - Modelled gross primary production</p> <p>Modelled NEE - Modelled NEE calculated from the modelled TER and GPP</p> <p>Gapfilled NEE - A combination of measured and modelled NEE. Gaps in the measured data are filled with modelled NEE</p> <p>Modelling uncertainty - Uncertainty of the modelled NEE</p> <p>Measurement uncertainty - An estimation of the uncertainty of the measured NEE</p>
Fine-root production in boreal peatland forests: effects of stand and environmental factors
<p>Fine-root production (FRP) data along with climatic variables (annual precipitation, temperature sum, and latitude) and stand variables (tree stand stem volume; tree stand basal area; stand basal area of tree species including Scots pine, Norway spruce and deciduous trees; site type; peat type; peat depth; C:N ratio of topmost 20 cm peat layer; grouping of sites to nutrient rich and nutrient poo; average soil water-table level) from 28 forestry-drained peatland forest sites in Finland,</p> <p>FRP and its depth distribution were estimated using ingrowth cores. The ingrowth cores were installed between October 15th and November 27th, 2013, and recovered after two years in late November 2015.</p>
Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
<p><strong> Introduction</strong></p> <p>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<sub>2</sub> 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<sub>2</sub> emission from soil in forest land on drained organic soil, like it was reported by the Finnish GHG inventory (Statistics Finland, 2023).</p> <p><strong>Time series data </strong></p> <p>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 (<em>Pinus sylvestris</em> 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).</p> <p>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).</p> <p>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 statistics/energy. The biomass of live trees, annual litterfall from live trees aboveground and root litter belowground are derived from the National Forest Inventory of Finland (inventory rounds NFI8 to NFI13). The R-code also includes calculation of annual litter production from the harvesting residues.</p> <p>The regression-based transfer models, implemented in the R-code, also need meteorological time series inputs: The soil organic matter decomposition model (Ojanen et al. 2014) uses May-October mean temperature. Decomposition model yasso07 (Tuomi et al., 2009), applied for estimating the CO<sub>2</sub> release by decomposition of harvesting residues and above ground litter from natural mortality, is constrained by annual temperature, annual temperature amplitude and annual precipitation. Starting from the original country-wide grid produced by the Finnish Meteorological Institute (FMI) the weather time series were spatially averaged so that the FMI weather grid values were collected from those locations where peatlands representing each FTYPE in southern and northern Finland were observed by the NFI, respectively.</p> <p>The pre-prepared input data are given in files, see Table 1 for descriptions.</p> <p> </p> <p> </p> <p>Table 1. Description of input data files.</p> <table> <tbody> <tr> <td> <p><strong>File</strong></p> </td> <td> <p><strong>Description of data</strong></p> </td> </tr> <tr> <td> <p>basal.areas.csv</p> </td> <td> <p>Time series of years 1990-2022 for annual average basal area (m<sup>2</sup> ha<sup>-1</sup>) by year, by peatland forest site type (peat_type) and by tree species or group (tree_type).</p> <p> </p> <p>Values of peat_type correspond to FTYPE:</p> <p>1 Herb-rich type</p> <p>2 <em>Vaccinium myrtillus</em> type</p> <p>4 <em>Vaccinium vitis-idaea</em> type</p> <p>6 Dwarf shrub type</p> <p>7 <em>Cladina</em> type</p> <p> </p> <p>Values of tree species or group correspond to:</p> <p>1 Scots pine</p> <p>2 Norway spruce</p> <p>3 Broadleaved species</p> </td> </tr> <tr> <td> <p>biomass.csv</p> </td> <td> <p>Time series of years 1990-2022 for annual biomass (biomass, t ha<sup>-1</sup> of dry mass) by year, by biomass component, by tree species and by peatland forest site type (tkg).</p> <p> </p> <p>Values of peat_type correspond to FTYPE:</p> <p>1 Herb-rich type</p> <p>2 <em>Vaccinium myrtillus</em> type</p> <p>4 <em>Vaccinium vitis-idaea</em> type</p> <p>6 Dwarf shrub type</p> <p>7 <em>Cladina</em> type</p> <p> </p> </td> </tr> <tr> <td> <p>dead_litter.csv</p> </td> <td> <p>Time series of years 1990-2022 of annual aboveground litter from dead wood: Harvesting residues and natural mortality combined (C, t ha<sup>-1</sup> of dry mass; lognat_litter).</p> <p> </p> <p>Values of region correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> </td> </tr> <tr> <td> <p>ghgi_litter.csv</p> </td> <td> <p>Time series of years 1990-2022 for litter AWEN-fractions (A=acid soluble, W=water soluble, E=ethanol soluble, N=non-soluble; C, t ha<sup>-1</sup>) by different litter types: Above-ground coarse woody litter (coarse_woody_litter), fine woody litter (fine_woody_litter), non-woody litter (non_woody_litter) by litter source and deposition type by region. “org” denotes organic soil.</p> <p> </p> <p>Values of region correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> <p> </p> <p>Values of ground correspond to litter deposition environment:</p> <p>above Above-ground litter</p> <p>below Below-ground litter</p> </td> </tr> <tr> <td> <p>lognat_decomp.csv</p> </td> <td> <p>Time series of years 1990-2022 for C, t ha<sup>-1</sup> of dry mass, decomposed from logging residues and natural mortality by region.</p> <p> </p> <p>Values of variable “region” correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> </td> </tr> <tr> <td> <p>logyasso_weather_data.csv</p> </td> <td> <p>Time series of years 1990-2022 for regional (region) precipitation sum (mm, sum_P), average annual temperature (°C, mean_T) and amplitude of the annual temperature (°C , ampli_T).</p> <p> </p> <p>Values of region correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> <p> </p> </td> </tr> <tr> <td> <p>total_area.csv</p> </td> <td> <p>Areas (ha) of drained peatland forests remaining forest land by region and peat_type.</p> <p> </p> <p>Values of variable “region” correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> <p> </p> <p>Values of peat_type correspond to FTYPE:</p> <p>1 Herb-rich type</p> <p>2 <em>Vaccinium myrtillus</em> type</p> <p>4 <em>Vaccinium vitis-idaea</em> type</p> <p>6 Dwarf shrub type</p> <p>7 <em>Cladina</em> type</p> <p> </p> </td> </tr> <tr> <td> <p>weather_data.csv</p> </td> <td> <p>Time series of years 1990-2022 for 30-year rolling mean temperature for the May-October period (roll_T) used by the soil decomposition models. The values are calculated for each FTYPE (peat_type) using their spatial distributions (see details in Alm et al., 2023).</p> <p> </p> <p>Values of variable “region” correspond to GHG inventory region:</p> <p>south South Finland</p> <p>north North Finland</p> <p> </p> <p>Values of peat_type correspond to FTYPE:</p> <p>1 Herb-rich type</p> <p>2 <em>Vaccinium myrtillus</em> type</p> <p>4 <em>Vaccinium vitis-idaea</em> type</p> <p>6 Dwarf shrub type</p> <p>7 <em>Cladina</em> type</p> <p> </p> </td> </tr> </tbody> </table> <p> </p> <p><strong>The R-scripts</strong></p> <p>The scripts are an excerpt from the Finnish greenhouse gas inventory code set, applying the necessary pre-processed input data and producing the soil CO<sub>2</sub> emissions for each FTYPE separately. The necessary R-packages (R Core Team, 2020) are managed in the script LIBRARIES.R.</p> <p>Guidance for running the R-scripts is given in the README.txt.</p> <p><strong>References</strong></p> <p>Alm, J., Wall, A., Myllykangas, J-P., Ojanen, P., Heikkinen, J., Henttonen, H. M., Laiho, R., Minkkinen, K., Tuomainen, T. and Mikola, J. A new method for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland. Biogeosciences https://doi.org/10.5194/bg-20-1-2023, 2023.</p> <p>LUKE Statistics</p> <ul> <li>https://www.luke.fi/en/statistics/total-roundwood-removals-and-drain, last access 8.12.2022.</li> </ul> <ul> <li>https://www.luke.fi/en/statistics/commercial-fellings/commercial-fellings-72023. last access 8.12.2022.</li> </ul> <p>Statistics Finland 2023. URL: https://unfccc.int/documents/627718 (last access 13.9.2023).</p> <p>Ojanen, P., Lehtonen, A., Heikkinen, J., Penttilä, T., and Minkkinen, K.: Soil CO2 balance and its uncertainty in forestry drained peatlands in Finland, Forest Ecol. Manage., 325, 60–73, 2014.</p> <p>R Core Team: R: A language and environment for statistical computing. R Foundation forStatistical Computing, Vienna, Austria, URL https://www.R-project.org, 2020.</p> <p>Tuomi, M., Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmon, M., Trofymow, J.A., Sevanto, S. and Liski, J.: Leaf litter decomposition - Estimates of global variability based on Yasso07 model, Ecol. Modell. 220 (23):3362-3371, 2009.</p>
Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest 2013-2016
These data are simultaneous and continuous measurements of carbon, water and energy fluxes of the terrestrial landscape. These fluxes are major regulatory drivers of the boreal climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. At the APEX project site, within Bonanza Creek Experimental Forest, this monitoring is repeated across a chronosequence of permafrost degradation; the Black Spruce site is an area of stable permafrost with intact black spruce forest (APEX gamma site), the Thermokarst site is an active thermokarst zone with considerable tree mortality (APEX betaSW site), the Fen site is within a stable treeless fen with deep active layer depth (APEX apexcon,low, and ele sites). The main variables being monitored are the instananeous fluxes of CO2, water vapor and surface energy (shortwave, longwave and net radiation), secondary variables included photosynthetically active radiation (PAR), air and soil temperatures, rainfall, snow depth, soil moisture content, wind direction and speed, and average atmospheric concentrations of CO2 and H2O through the year. Our site naming scheme is as follows: 1) gamma = Black Spruce site = YF_2472, 2) betaSW = Thermokarst site= BC_5166, 3) (apexcon+apexele+apexlow) = Fen site = BC_FEN
Alaskan Peatland Experiment (APEX): Ammonium Uptake Experiment I - Uptake Data Collected in 2016 at Lowland Bog Sites in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This dataset contains data from an ammonium uptake experiment conducted at the APEX Beta site in the BCEF. Data includes ammonium uptake of Carex aquatilis roots from porewater spiked with (NH4)2SO4 for 4 and 8 hours after excavation from thermokarst bogs. Comparisons involve deep vs shallow roots and roots excavated from the edge and centre of thermokarst bogs.
Alaskan Peatland Experiment (APEX): Ammonium Uptake Experiment II - Size Characteristics of Carex aquatilis Plants Harvested in 2016 from Thermokast Features Located in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This dataset contains data from an ammonium uptake experiment conducted at the APEX Beta site in the BCEF. Data includes size characteristics of Carex aquatilis plants harvested from the edge and centre of thermokarst features.
A drained nutrient-poor peatland forest in boreal Sweden constitutes a net carbon sink after integrating terrestrial and aquatic fluxes
<div>In this study, we estimated the net ecosystem carbon balance (NECB) from a nutrient‐poor drained peatland forest and an adjacent natural mire in northern Sweden by integrating terrestrial carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes with aquatic losses of dissolved organic C (DOC) and inorganic C based on eddy covariance and stream discharge measurements, respectively, over two hydrological years. Each variable presented was measured during each experimental period in sites.</div>
Data: Water quality and the biodegradability of dissolved organic carbon in drained boreal peatland under different forest harvesting intensities
<p><span>This repository consists of three files, which contain ground water and ditch water quality data in drained forested peatlands and dissolved organic carbon biodegradation to carbon dioxide. Experiments and results are presented in:</span></p> <p><span>Palviainen M., Peltomaa E., Laurén A., Kinnunen N., Ojala A., Berninger F., Zhu X., Pumpanen J. 2022. Water quality and the biodegradability of dissolved organic carbon in drained boreal peatland under different forest harvesting intensities. Science of the Total Environment 806: 150919 <a href="https://doi.org/10.1016/j.scitotenv.2021.150919">https://doi.org/10.1016/j.scitotenv.2021.150919</a>.</span></p> <p><span> </span></p>
Greenhouse gas and energy fluxes in a boreal peatland forest after clearcutting
<p>This package contains the data used in the research article: "Greenhouse gas and energy fluxes in a boreal peatland forest after clearcutting" published in Biogeosciences journal.</p> <p>Changes in this version:</p> <p>Chamber_data.xlsx is now named Chamber_data_clearcut.xlsx. CO2 fluxes were also corrected.</p> <p>Added daily mean CO2, CH4 and N2O fluxes measured at the control site.</p> <p> </p> <p>Chamber_data_clearcut.xlsx contains the daily mean fluxes of CO2, CH4 and N2O measured with soil chambers at the clearcut site.</p> <p>Chamber_data_control.xlsx contains the daily mean fluxes of CO2, CH4 and N2O measured with soil chambers at the control site.</p> <p>EC_CO2_fluxes.xlsx contains the gapfilled 30-min mean CO2 fluxes (NEE) and its components (GPP and respiration).</p> <p>Energy_fluxes.xlsx contains the gapfilled hourly mean energy fluxes.</p> <p>Meteo_data.xlsx contains the daily means of the meteorological variables used in the study.</p>
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