Mathias Goeckede

ORCID: 0000-0003-2833-8401
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About
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Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Methane Hydrates and Related Phenomena
  • Peatlands and Wetlands Ecology
  • Geology and Paleoclimatology Research
  • Hydrocarbon exploration and reservoir analysis
  • Geological Studies and Exploration
  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models
  • Arctic and Antarctic ice dynamics
  • Hydrology and Watershed Management Studies
  • Vehicle emissions and performance
  • Indigenous Studies and Ecology
  • Geophysics and Gravity Measurements
  • Environmental Impact and Sustainability
  • Energy Load and Power Forecasting
  • Offshore Engineering and Technologies
  • Reservoir Engineering and Simulation Methods
  • Science and Climate Studies
  • Soil and Unsaturated Flow
  • Soil Geostatistics and Mapping
  • Atmospheric Ozone and Climate
  • Polar Research and Ecology
  • Meteorological Phenomena and Simulations

Max Planck Institute for Biogeochemistry
2014-2025

European Space Agency
2024

Finnish Meteorological Institute
2024

University of California, Berkeley
2022

Lund University
2022

Oregon State University
2008-2009

University of Bayreuth
2004

Abstract This paper describes the formation of, and initial results for, a new FLUXNET coordination network for ecosystem-scale methane (CH 4 ) measurements at 60 sites globally, organized by Global Carbon Project in partnership with other initiatives regional flux tower networks. The objectives of effort are presented along an overview coverage eddy covariance (EC) CH comparing fluxes across sites, future research directions needs. Annual estimates net ranged from −0.2 ± 0.02 g C m –2 yr –1...

10.1175/bams-d-18-0268.1 article EN Bulletin of the American Meteorological Society 2019-07-17

Abstract The regional variability in tundra and boreal carbon dioxide (CO 2 ) fluxes can be high, complicating efforts to quantify sink‐source patterns across the entire region. Statistical models are increasingly used predict (i.e., upscale) CO large spatial domains, but reliability of different modeling techniques, each with specifications assumptions, has not been assessed detail. Here, we compile eddy covariance chamber measurements annual growing season gross primary productivity (GPP),...

10.1111/gcb.15659 article EN Global Change Biology 2021-04-29

Abstract Phosphorus availability in soils is an important parameter influencing primary production terrestrial ecosystems. limitation exists many since a high proportion of soil phosphorus stored unavailable forms for plants, such as bound to iron minerals or stabilized organic matter. This spite having amount total phosphorus. The feasibility silicon mobilize from strong binding sites has been shown marine sediments but less well studied soils. Here we tested the effect on mobilization 143...

10.1038/s41598-018-37104-6 article EN cc-by Scientific Reports 2019-01-24
Kyle Delwiche Sara Knox Avni Malhotra Etienne Fluet‐Chouinard Gavin McNicol and 95 more Sarah Féron Zutao Ouyang Dario Papale Carlo Trotta Eleonora Canfora You-Wei Cheah Danielle Christianson Ma. Carmelita Alberto Pavel Alekseychik Mika Aurela Dennis Baldocchi Sheel Bansal David P. Billesbach Gil Bohrer Rosvel Bracho Nina Buchmann David I. Campbell Gerardo Celis Jiquan Chen Weinan Chen Housen Chu Higo J. Dalmagro Sigrid Dengel Ankur R. Desai Matteo Detto A. J. Dolman Elke Eichelmann E. S. Euskirchen D. Famulari Kathrin Fuchs Mathias Goeckede Sébastien Gogo Mangaliso J. Gondwe Jordan P. Goodrich Pia Gottschalk Scott L. Graham Martin Heimann Manuel Helbig Carole Helfter Kyle S. Hemes Takashi Hirano David Y. Hollinger Lukas Hörtnagl Hiroki Iwata Adrien Jacotot Gerald Jurasinski Minseok Kang Kuno Kasak John S. King Janina Klatt Franziska Koebsch Ken W. Krauss Derrick Y.F. Lai Annalea Lohila Ivan Mammarella Luca Belelli Marchesini Giovanni Manca Jaclyn Hatala Matthes Trofim C. Maximov Lutz Merbold Bhaskar Mitra Timothy H. Morin Eiko Nemitz Mats B. Nilsson Shuli Niu Walter C. Oechel Patricia Y. Oikawa Keisuke Ono Matthias Peichl Olli Peltola Michele L. Reba Andrew D. Richardson W. J. Riley Benjamin R. K. Runkle Youngryel Ryu Torsten Sachs Ayaka Sakabe Camilo Rey‐Sánchez Edward A. G. Schuur Karina V. R. Schäfer Oliver Sonnentag Jed P. Sparks Ellen Stuart‐Haëntjens Cove Sturtevant Ryan C. Sullivan Daphne Szutu Jonathan E. Thom Margaret Torn Eeva‐Stiina Tuittila Jessica Turner Masahito Ueyama Alex Valach Rodrigo Vargas Andrej Varlagin Alma Vázquez‐Lule

Abstract. Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in absolute magnitude and seasonality emission quantities drivers. Eddy covariance (EC) measurements flux are ideal for constraining ecosystem-scale due quasi-continuous high-temporal-resolution measurements, coincident carbon dioxide, water, energy lack ecosystem disturbance, increased availability datasets over last decade. Here, we...

10.5194/essd-13-3607-2021 article EN cc-by Earth system science data 2021-07-29

Abstract While wetlands are the largest natural source of methane (CH 4 ) to atmosphere, they represent a large uncertainty in global CH budget due complex biogeochemical controls on dynamics. Here we present, our knowledge, first multi‐site synthesis how predictors fluxes (FCH4) freshwater vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, random...

10.1111/gcb.15661 article EN Global Change Biology 2021-04-29

Abstract Significant progress in permafrost carbon science made over the past decades include identification of vast stocks, development new pan‐Arctic maps, an increase terrestrial measurement sites for CO 2 and methane fluxes, important factors affecting cycling, including vegetation changes, periods soil freezing thawing, wildfire, other disturbance events. Process‐based modeling studies now key elements cycling advances statistical inverse enhance understanding region C budgets. By...

10.1029/2023jg007638 article EN cc-by-nc Journal of Geophysical Research Biogeosciences 2024-02-26

Abstract The Arctic–Boreal Zone is rapidly warming, impacting its large soil carbon stocks. Here we use a new compilation of terrestrial ecosystem CO 2 fluxes, geospatial datasets and random forest models to show that although the was overall an increasing sink from 2001 2020 (mean ± standard deviation in net exchange, −548 140 Tg C yr −1 ; trend, −14 P < 0.001), more than 30% region source. Tundra regions may have already started function on average as sources, demonstrating shift...

10.1038/s41558-024-02234-5 article EN cc-by Nature Climate Change 2025-01-21

10.1016/j.agrformet.2021.108528 article EN publisher-specific-oa Agricultural and Forest Meteorology 2021-07-10

Abstract Wetland methane (CH 4 ) emissions ( $${F}_{{{CH}}_{4}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>F</mml:mi> </mml:mrow> <mml:mi>C</mml:mi> <mml:mi>H</mml:mi> <mml:mn>4</mml:mn> </mml:msub> </mml:math> are important in global carbon budgets and climate change assessments. Currently, projections rely on prescribed static temperature sensitivity that varies among biogeochemical models. Meta-analyses have proposed a consistent dependence...

10.1038/s41467-021-22452-1 article EN cc-by Nature Communications 2021-04-15

Abstract Soils are warming as air temperatures rise across the Arctic and Boreal region concurrent with expansion of tall-statured shrubs trees in tundra. Changes vegetation structure function expected to alter soil thermal regimes, thereby modifying climate feedbacks related permafrost thaw carbon cycling. However, current understanding impacts on temperature is limited local or regional scales lacks generality necessary predict stability a pan-Arctic scale. Here we synthesize shallow...

10.1088/1748-9326/abc994 article EN cc-by Environmental Research Letters 2020-11-11

Abstract. Past efforts to synthesize and quantify the magnitude change in carbon dioxide (CO2) fluxes terrestrial ecosystems across rapidly warming Arctic–boreal zone (ABZ) have provided valuable information but were limited their geographical temporal coverage. Furthermore, these been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting potential be used large-scale budget assessments. To bridge gaps, we developed a standardized...

10.5194/essd-14-179-2022 article EN cc-by Earth system science data 2022-01-21

Wetland CH4 emissions are among the most uncertain components of global budget. The complex nature wetland processes makes it challenging to identify causal relationships for improving our understanding and predictability emissions. In this study, we used flux measurements from eddy covariance towers (30 sites 4 wetlands types: bog, fen, marsh, wet tundra) construct a causality-constrained machine learning (ML) framework explain regulative factors capture at sub-seasonal scale. We found that...

10.1016/j.agrformet.2022.109115 article EN cc-by Agricultural and Forest Meteorology 2022-08-11

Abstract Wetlands are responsible for 20%–31% of global methane (CH 4 ) emissions and account a large source uncertainty in the CH budget. Data‐driven upscaling fluxes from eddy covariance measurements can provide new independent bottom‐up estimates wetland emissions. Here, we develop six‐predictor random forest model (UpCH4), trained on 119 site‐years flux data 43 freshwater sites FLUXNET‐CH4 Community Product. Network patterns site‐level annual means mean seasonal cycles were reproduced...

10.1029/2023av000956 article EN cc-by AGU Advances 2023-09-06

Abstract. The identification of spatial soil moisture patterns is high importance for various applications in high-latitude permafrost regions but challenging with common remote sensing approaches due to landscape heterogeneity. Seasonal thawing and freezing near-surface lead subsidence–heave cycles the presence ground ice, which exhibit magnitudes typically less than 10 cm. Our investigations document higher Sentinel-1 InSAR (interferometric synthetic aperture radar) seasonal subsidence...

10.5194/tc-19-1103-2025 article EN cc-by ˜The œcryosphere 2025-03-11

Abstract. Mapping in situ eddy covariance measurements of terrestrial land–atmosphere fluxes to the globe is a key method for diagnosing Earth system from data-driven perspective. We describe first global products (called X-BASE) newly implemented upscaling framework, FLUXCOM-X, representing an advancement previous generation FLUXCOM terms flexibility and technical capabilities. The X-BASE are comprised estimates CO2 net ecosystem exchange (NEE), gross primary productivity (GPP),...

10.5194/bg-21-5079-2024 article EN cc-by Biogeosciences 2024-11-18

Over the past two decades, numerous studies have emphasised importance of including organic matter (OM) in land surface models (LSMs) to accurately represent soil thermal and hydrological properties. This is particularly relevant Arctic regions, where organic-rich soils are widespread. Consequently, most LSMs incorporate parameterisations that account for OM effects, although these implementations often simplified. Recent advancements global datasets now enable more precise modelling...

10.22541/au.173748260.01626603/v1 preprint EN Authorea (Authorea) 2025-01-21

Abstract. Nitrous oxide (N2O) is the third most important greenhouse gas, with its atmospheric concentration rising from 273 parts per billion (ppb) to 336 ppb since 1800, primarily due agricultural activities. However, nutrient-poor natural soils, including those in sub-Arctic, also emit and consume N2O. These soils have not been studied extensively, partly challenges reliably detecting low fluxes. Methodological limitations were largely influenced by available instrumentation; lack of...

10.5194/amt-2024-203 preprint EN cc-by 2025-01-28

The rapid thawing of Arctic permafrost is driving significant changes in both the hydrological and carbon cycles, with critical implications for surface wetness ecosystem processes. These are contributing to increased wetness, which, turn, accelerates degradation alters dynamics. Understanding feedback mechanisms governing these processes essential predicting future impacts, as seasonal variations directly influence stability fluxes. This study integrates in-situ measurements satellite-based...

10.5194/egusphere-egu25-10955 preprint EN 2025-03-14

Since eddy covariance (EC) flux towers are&amp;#160;typically mounted&amp;#160;within structured landscapes, interpreting EC data is complicated due to spatial heterogeneity, which may exhibit sources and sinks simultaneously. This complexity makes it challenging understand mechanisms controls determining budgets for the individual land cover types&amp;#160;that make up entire ecosystem. Therefore, complicates scaling of results in space and/or time, or comparing fluxes under different...

10.5194/egusphere-egu25-12704 preprint EN 2025-03-15

Nitrous oxide (N&amp;#8322;O) is a critical greenhouse gas, ranking third in prevalence and serving as the leading contributor to ozone depletion twenty-first century. Its global warming potential 298 times higher than that of carbon dioxide (CO&amp;#8322;) over 100-year timeframe. Current estimates suggest N&amp;#8322;O emissions range from 8.1 30.7 teragrams (Tg) per year. Alarmingly, about two-thirds these stem natural terrestrial sources, mainly related microbial processes soils. While...

10.5194/egusphere-egu25-12246 preprint EN 2025-03-15

Stratified turbulence is a prominent feature in the Arctic boundary layer, where land surface cooling during night may induce strong stable stratification. This process significantly alters transport dynamics of heat, momentum and trace gases, including greenhouse gases , which are critical to understanding carbon feedback processes. The warming at rate three four times faster than global average, threatening destabilize its permafrost reservoir, stores about 60% soil carbon&amp;#8212;an...

10.5194/egusphere-egu25-11273 preprint EN 2025-03-14
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