A5014209977- Peatlands and Wetlands Ecology
- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- Methane Hydrates and Related Phenomena
- Hydrocarbon exploration and reservoir analysis
- Geology and Paleoclimatology Research
- Fire effects on ecosystems
- Plant responses to elevated CO2
- Climate change and permafrost
- Climate variability and models
- Coastal wetland ecosystem dynamics
- Cryospheric studies and observations
- Air Quality and Health Impacts
- Geophysics and Gravity Measurements
- Science and Climate Studies
- Ionosphere and magnetosphere dynamics
- Plant Water Relations and Carbon Dynamics
- Vehicle emissions and performance
- Soil and Water Nutrient Dynamics
- Carbon Dioxide Capture Technologies
- Earthquake Detection and Analysis
- Indoor Air Quality and Microbial Exposure
- Atmospheric Ozone and Climate
- Soil Carbon and Nitrogen Dynamics
- Atmospheric aerosols and clouds
University of Helsinki
2015-2025
CSC - IT Center for Science (Finland)
2024
Finnish Meteorological Institute
2022-2023
University of Minnesota System
2022
University of British Columbia
2022
Helsinki Institute of Physics
2015-2017
Abstract We have analyzed decade‐long methane flux data set from a boreal fen, Siikaneva, together with on environmental parameters and carbon dioxide exchange. The showed seasonal cycle but no systematic diel cycle. highest fluxes were observed in July–August average value of 73 nmol m −2 s −1 . Wintertime small positive, January–March 6.7 Daily emission correlated best peat temperatures at 20–35 cm depths. second correlation was gross primary production (GPP). correspondence between...
Abstract. Knowledge of the spatial distribution fluxes greenhouse gases (GHGs) and their temporal variability as well flux attribution to natural anthropogenic processes is essential monitoring progress in mitigating emissions under Paris Agreement inform its global stocktake. This study provides a consolidated synthesis CH4 N2O using bottom-up (BU) top-down (TD) approaches for European Union UK (EU27 + UK) updates earlier syntheses (Petrescu et al., 2020, 2021). The work integrates updated...
Abstract. Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region Northern Europe using ecosystem process models. Six models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5 CLM5) compared multi-model mean of atmospheric inversions from the Global Carbon Project up-scaled eddy covariance flux results for their seasonal cycles regional fluxes. Two with contrasting response patterns, LPX-Bern JSBACH-HIMMELI, used as priors Tracker – CH4 order...
Abstract. Wetlands are one of the most significant natural sources methane (CH4) to atmosphere. They emit CH4 because decomposition soil organic matter in waterlogged anoxic conditions produces CH4, addition carbon dioxide (CO2). Production and how much it escapes atmosphere depend on a multitude environmental drivers. Models simulating processes leading emissions thus needed for upscaling observations estimate present producing scenarios future atmospheric concentrations. Aiming at model...
Abstract. Wetland methane responses to temperature and precipitation are studied in a boreal wetland-rich region northern Europe using ecosystem process models. Six models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5, CLM5) compared multi-model means of atmospheric inversions from the Global Carbon Project upscaled eddy covariance flux results for their seasonal cycles regional fluxes. Two with contrasting response patterns, LPX-Bern JSBACH-HIMMELI, used as priors Tracker Europe–CH4...
Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated the ability of a global atmospheric inverse model CarbonTracker Europe – to estimate within single country. focused on how different priors their uncertainties affect optimised showed that anthropogenic natural were strongly dependent prior emissions. However,...
The northern high latitudes (NHLs) are undergoing rapid environmental changes with global warming, which may trigger feedback mechanisms that amplify natural methane emissions from wetlands and increase contributions wildfires. Studying year-to-year variations in these can provide understanding of the key factors driving fluxes. In addition, NHLs produce substantial fossil fuel production. However, spatial heterogeneity overlap sources region complicates attribution to specific...
Abstract. Peat pore network architecture is a key determinant of water retention and gas transport properties has therefore been hypothesized to control redox conditions in greenhouse emissions from peat soils. Yet, experimental approaches directly visualize the spatial heterogeneity biogeochemical reactions networks remain scarce. Here, we report on 13C pulse–chase assay developed functionally explain centimeter-scale cores. We injected 13C-labeled substrate (13C2 acetate) at 2 8 cm depths...
Abstract. Emission via bubbling, i.e. ebullition, is one of the main methane (CH4) emission pathways from wetlands to atmosphere. Direct measurement gas bubble formation, growth and release in peat–water matrix challenging consequence these processes are relatively unknown coarsely represented current wetland CH4 models. In this study we aimed evaluate three ebullition modelling approaches their effect on model performance. This was achieved by implementing process-based model. All were...
Abstract. Biogenic volatile organic compounds (BVOCs) produced by plants have a major role in atmospheric chemistry. The different physicochemical properties of BVOCs affect their transport within and out the plant as well reactions along way. Some these may accumulate or on waxy surface layer conifer needles participate chemical near foliage surface. aim this work was to determine whether terpenes, key category trees, can be found epicuticles Scots pine (Pinus sylvestris L.) and, if so, how...
Abstract Process‐based land surface models are important tools for estimating global wetland methane (CH 4 ) emissions and projecting their behavior across space time. So far there no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis identify the dominant scales contributing uncertainty in frequency domain. We evaluate seven 23 eddy covariance tower sites. Our study first characterizes site‐level patterns freshwater CH...
Abstract. Estimating methane (CH4) emissions from natural wetlands is complex, and the estimates contain large uncertainties. The models used for task are typically heavily parameterized parameter values not well known. In this study, we perform a Bayesian model calibration new wetland CH4 emission to improve quality of predictions understand limitations such models.The detailed process that analyze contains descriptions production anaerobic respiration, oxidation, gas transportation by...
The effect of the 2018 extreme meteorological conditions in Europe on methane (CH 4 ) emissions is examined using estimates from four atmospheric inversions calculated for period 2005–2018. For most Europe, we find no anomaly compared to 2005–2018 mean. However, a positive Netherlands April, which coincided with temperature and soil moisture anomalies suggesting an increase biogenic sources. We also negative September–October, moisture, decrease In addition, Serbia spring, summer autumn,...
Abstract. Peatlands are important natural sources of atmospheric methane (CH4) emissions. The production and emission CH4 strongly influenced by the diffusion oxygen into soil from to atmosphere, respectively. This diffusion, in turn, is controlled structure macropore networks. characterization peat pore connectivity through complex network theory approaches can give conceptual insight how relationship between microscale space properties emissions on a macroscopic scale shaped. evolution...
Abstract. The processes responsible for methane (CH4) emissions from boreal wetlands are complex; hence, their model representation is complicated by a large number of parameters and parameter uncertainties. arctic-enabled dynamic global vegetation LPJ-GUESS (Lund–Potsdam–Jena General Ecosystem Simulator) one such that allows quantification understanding the natural wetland CH4 fluxes at various scales, ranging local to regional global, but with several contains detailed descriptions...
Over the last century, many peatlands in northern Europe have been drained for forestry. Forest management with different harvesting regimes has a significant impact on soil water status and consequently greenhouse gas emissions from peat soils. In this paper, we used process-based JSBACH-HIMMELI model to simulate effects of alternative regimes, namely non-harvested (NH), selection (SH; 70 % stem volume harvested) clear-cutting (CC; 100 harvested), CH4 CO2 fluxes peatland forests. We...
Abstract. Natural wetlands are among the most important sources of atmospheric methane and thus for better understanding long-term temporal variations in concentration. During last 60 years, have experienced extensive conversion impacts from climate warming which might result complicated spatial changes wetland emissions. In this paper, we present a modeling framework, integrating CH4MODwetland, TOPMODEL, TEM models, to analyze CH4 emissions natural (including inland marshes/swamps, coastal...
Abstract. Peatland management practices, such as drainage and restoration, have a strong effect on boreal peatland methane (CH4) fluxes. Furthermore, CH4 fluxes are strongly controlled by local environmental conditions, soil hydrology, temperature vegetation, which all experiencing considerable changes due to climate change. Both practices change expected influence during this century but the magnitude net impact of these is still insufficiently understood. In study, we simulated impacts two...