Publications

This is list of publications of peer reviewed publications based on data gathered by ICOS Sweden and below a list of measurement protocols showing the methodology for the data collection.

publications 2020

  • Chi, M.P.J., Nilsson, M.B., Laudon, H. et al., 2020: The Net Landscape Carbon Balance–Integrating terrestrial and aquatic carbon fluxes in a managed boreal forest landscape in Sweden. Global Change Biology https://doi.org/10.1111/gcb.14983
  • Graf, A. et al., 2020: Altered energy partitioning across terrestrial ecosystems in the European drought year 2018. Philosophical Transactions of the Royal Society B 375/1810, https://doi.org/10.1098/rstb.2019.0524
  • Helbig, M., Waddington, J.M., Alekseychik, P. et al., 2020: Increasing contribution of peatlands to boreal evapotranspiration in a warming climate. Nature Climate Change. https://doi.org/10.1038/s41558-020-0763-7
  • Järveoja, J. et al., 2020: Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature response. Nature Communications 11, 1-9. https://doi.org/10.1038/s41467-020-18027-1
  • Koebsch, F., Sonnentag, O., Järveoja, J. et al., 2020: Refining the role of phenology in regulating gross ecosystem productivity across European peatlands. Global Change Biology 2, 876-887. https://doi.org/10.1111/gcb.14905
  • Lindroth, A. et al., 2020: Effects of drought and meteorological forcing on carbon and water fluxes in Nordic forests during the dry summer of 2018. Philosophical Transactions of the Royal Society B 375/1810, https://doi.org/10.1098/rstb.2019.0516
  • Ramonet, M. et al., 2020: The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2 measurements. Philosophical Transactions of the Royal Society B 375/1810, https://doi.org/10.1098/rstb.2019.0513
  • Rinne, J. et al., 2020: Effect of the 2018 European drought on methane and carbon dioxide exchange of northern mire ecosystems. Philosophical Transactions of the Royal Society B 375/1810, https://doi.org/10.1098/rstb.2019.0517
  • Seco, R. et al., 2020: Volatile organic compound fluxes in a subarctic peatland and lake. Atmos. Chem. Phys. 20, 13399–13416. https://doi.org/10.5194/acp-20-13399-2020
  • Vestin, P. et al., 2020: Impacts of Clear-Cutting of a Boreal Forest on Carbon Dioxide, Methane and Nitrous Oxide Fluxes. Forests 11/9, 961, https://doi.org/10.3390/f11090961

publications 2019

  • Bechthold, M., De Lannoy, G.J.M., Nilsson, M.B. et al., 2019: PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. Journal of Advances in Modelling Earth Systems, doi.org/10.1029/2018MS001574
  • Campeau, A., K. Bishop, N. Amvrosiadi, N. et al., 2019: Current forest carbon fixation fuels stream CO2 emissions. Nat Commun 10, 1876 (2019) doi:10.1038/s41467-019-09922-3
  • Campbell, J. & Laudon, H., 2019: Carbon response to changing winter conditions in northern regions: Current understanding and emerging research needs,Environmental Reviews. http://dx.doi.org/10.1139/er-2018-0097
  • Chi, M.B.J. Nilsson, N. Kljun, J. Wallermann, J.E.S. Fransson, H. Laudon, T. Lundmark, M. Peichl, 2019: The carbon balance of a managed boreal landscape measured from a tall tower in northern Sweden. Agruic. Forest Meteorol., 274: 29-41. https://doi.org/10.1016/j.agrformet.2019.04.010
  • Friedlingstein, P., Jones, M.W., O'Sullivan, M. et al., 2019: Global Carbon Budget 2019. Earth System Science Data, 11, 1783-1838, DOI: 10.5194/essd-11-1783-2019.
  • Koebsch, F., O. Sonnentag, J. Järveoja et al., 2019: Refining the role of phenology in regulating gross ecosystem productivity across European peatlands. Global Change Biology (in press)
  • Kozii, N., K. Haahti, T. Pantana, J. Chi, E.M. Hasselquist, H. Laudon, S. Launiainen, R. Oren, M. Peichl, J. Wallermann, N.J. Hasselquist, 2019: Partitioning the forest water balance within a boreal catchment using sapflux, eddy covariance and process-based model. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-541, in review.
  • Knox, S.H., Jackson, R.B., Poulter, B. et al., 2019: FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-18-0268.1
  • Lagergren, F., A.M. Jönsson, H. Linderson, A. Lindroth, 2019: Time shift between net and gross CO2 uptake and growth derived from tree rings in pine and spruce. Trees, 3(1), 4; DOI: 10.1007/s00468-019-01814-9
  • Langvall, O. & Ottosson Löfvenius, 2019: M. Long-term standardized forest phenology in Sweden: a climate change indicator. Int J Biometeorol, doi:10.1007/s00484-019-01817-8
  • Leufen, L.H. & Schädler, G., 2019: Calculating the turbulent fluxes in the atmospheric surface layer with neural networks. Geosci. Model Dev.: 12, 2033-2047. https://doi.org/10.5194/gmd-12-2033-2019
  • Lupon, A. et al., 2019: Groundwater inflows control patterns and sources of greenhouse gas emissions from streams. Limnology and Oceanography. https://doi.org/10.1002/lno.11134
  • Martinez, M.A., Woodcroft, B.J., Espinoza, J.C.I. et al., 2019: Discovery and ecogenomic context of a global Caldiserica-related phylum active in thawing permafrost, Candidatus Cryosericota phylum nov., Ca. Cryosericia class nov., Ca. Cryosericales ord. nov., Ca. Cryosericaceae fam. nov., comprising the four species Cryosericum septentrionale gen. nov. sp. nov., Ca. C. hinesii sp. nov., Ca. C. odellii sp. nov., Ca. C. terrychapinii sp. nov. Systematic and applied microbiology 42, 54-66.
  • Nielsen, C.S., N.J. Hasselquist, M.B. Nilsson, M. Öquist, J. Järveoja & M. Peichl, 2019: A novel approach for high-frequency in-situ quantification of methane oxidation in peatlands. Soil Syst., 3(1), 4; DOI:10.3390/soilsystems3010004
  • Nilsson, E., A. Rutgersson, A. Dingwell et al., 2019: Characterization of wave energy potential for the Baltic Sea with focus on the Swedish Exclusive Economic Zone. Energies 12(5):793. DOI: 10.3390/en12050793
  • Nijp, , J.J., Metselaar, K., Limpens, J. et al., 2019: High-resolution peat volume change in a northern peatland: Spatial variability, main drivers, and impact on ecohydrology. Ecohydrology, doi.org/10.1002/eco.2114
  • Peltola, O., Vesala, T., Gao, Y. et al., 2019: Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth Syst. Sci. Data, 11, 1263-1289, https://doi.org/10.5194/essd-11-1263-2019
  • Pisso, I., Sollum, E., Grythe, H. et al., 2019: The Lagrangian particle dispersion model FLEXPART version 10.3. Geosci. Model Dev. Discuss., doi.org/10.5194/gmd-2018-333
  • Svensson, N., H. Bergström, A. Rutgersson, E. Sahlée, 2018: Modification of the Baltic sea wind field by land-sea interaction. Wind energy 2019:1-16. https://doi.org/10.1002/we.2320

publications 2018

  • Alekseychik, P., I. Mammarella, A. Lindroth et al., 2018: Surface energy exchange in pristine and managed boreal peatlands. Mires and peat, 21, 14. 10.19189/MaP.2018.OMB.333
  • Ameli, A.A. & J.R. Craig, 2018: Semi-analytical 3D solution for assessing radial collector well pumping impacts on groundwater-surface water interaction. Hydrology Research, 49, 17-26.
  • von Buttlar, J., Zscheischler, J., Rammig et al., 2018: Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones, Biogeosciences, 15, 1293-1318, https://doi.org/10.5194/bg-15-1293-2018.
  • Campeau, A., K. Bishop, M.B. Nilsson et al., 2018: Stable carbon isotopes reveal soil-stream DIC linkages in contrasting headwater catchments. JGR-Biogeosciences, 123(1):149-167, DOI:10.1002/2017JG004083
  • Denfeld, B. A., Klaus, M., Laudon et al., 2018:Carbon dioxide and methane dynamics in a small boreal lake during winter and spring melt events. Journal of Geophysical Research: Biogeosciences, 123, 2527-2540.
  • Dengel S., A. Graf, T. Grünwald et al., 2018: Standardized precipitation measurements within ICOS: rain, snowfall and snow depth: a review. International Agrophysics, 32:607-617
  • Du Toit, A., 2018: Permafrost thawing and carbon metabolism. Nature Reviews Microbiology 16, 519
  • Emerson, J.B., S. Roux, J.R. Brum et al., 2018: Host-linked soil viral ecology along a permafrost thaw gradient. Nature Microbiology 3:870-880
  • Faiola, C. L. , Buchholz, A., Kari, E. et al., 2018: Terpene Composition Complexity Controls Secondary Organic Aerosol Yields from Scots Pine Volatile Emissions. Scientific Reports, 8, Article number: 3053
  • Franz, D., M. Acosta, N. Altimir et al., 2018: Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review. International Agrophysics, 32:439-455
  • Gielen B., M. Acosta, N. Altimir et al., 2018: Ancillary vegetation measurements at ICOS ecosystem stations. International Agrophysics, 32:645-664
  • Gutiérrez-Loza, L., M.B. Wallin, Sahlée E., Nilsson E., Bange H.W., Kock A. and A. Rutgersson, 2018: Measurement of air-sea methane fluxes in the Baltic Sea using the eddy covariance method. In revision
  • Hodgkins, S.B., C.J. Richardson, R. Dommain et al., 2018: Tropical peatland carbon storage linked to global latitudinal trends in peat recalcitrance. Nature Communications, 9, 3640
  • Hufkens K., F. Gianluca, E. Cremonese et al., 2018: Assimilating phenology datasets automatically across ICOS ecosystem stations. International Agrophysics, 32:677-687
  • Järveoja, J., M.B. Nilsson, M. Gažovič, P.M. Crill & M. Peichl, 2018: Partitioning of the net CO2 exchange using an automated chamber system reveals plant phenology as key control of production and respiration fluxes in a boreal peatland. Global Change Biology, 24, 3436-3451
  • Jocher, G., J. Marshall, M.B. Nilsson et al., 2018: Impact of canopy decoupling and subcanopy advection on the annual carbon balance of a boreal Scots pine forest as derived from eddy covariance. JGR-Biogeosciences, 123(2):303-325, DOI:10.1002/2017JG003988
  • Jurevics, A., Peichl, M., Egnell, G., 2018: Stand Volume Production in the Subsequent Stand during Three Decades Remains Unaffected by Slash and Stump Harvest in Nordic Forests. Forests, 9(12), 770; https://doi.org/10.3390/f9120770
  • Kaisermann, A., J. Ogée, J. Sauze, S. Wohl, S.P. Jones, A. Gutierrez & L. Wingate, 2018: Disentangling the rates of carbonyl sulfide (COS) production and consumption and their dependency on soil properties across biomes and land use types. Atmos. Chem. Phys., 18:9425-9440, DOI:10.5194/acp-18-9425-2018
  • Kovalets, I., R. Avila, M. Mölder, S. Kovalets & A. Lindroth, 2018: Verification of a one-dimensional model of CO2 atmospheric transport inside and above a forest canopy using observations at the Norunda research station. Boundary-Layer Meteorol., 168(1):103-126, DOI:10.1007/s10546-018-0340-z
  • Kuhn, M., E.J. Lundin, R. Giesler, M. Johansson & J. Karlsson, 2018: Emissions from thaw ponds largely offset the carbon sink of northern permafrost wetlands. Scientific Reports, 8, 9535
  • Laudon, H. & R.A. Sponseller, 2018: How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long-term catchment study. Wiley Interdisciplinary Reviews: Water, 5, e1265
  • Ledesma, J.L.J., M.N. Futter, M. Blackburn et al., 2018: Towards an improved conceptualization of riparian zones in boreal forest headwaters. Ecosystems, 21(2):297-315, DOI:10.1007/s10021-017-0149-5
  • Leufen, L. H. & Schädler, G., 2018: Calculating the turbulent fluxes in the atmospheric surface layer with neural networks. Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-263
  • Lindroth, A., J. Holst, M. Heliasz et al., 2018: Effects of low thinning on carbon dioxide fluxes in a mixed hemiboreal forest. Agricultural and Forest Meteorology, 262:59-70
  • Loustau D., N. Altimir, M. Barbaste et al., 2018: Sampling and collecting foliage elements for the determination of the foliar nutrients in ICOS ecosystem stations. International Agrophysics, 32:665-676
  • Malhotra, A., T.R. Moore, J. Limpens & N.T. Roulet, 2018: Post-thaw variability in litter decomposition best explained by microtopography at an ice-rich permafrost peatland. Arctic, Antarctic, and Alpine Research, 50, e1415622
  • Martinez, M.A., B.J. Woodcroft, J.C.I. Espinoza et al., 2018: Discovery and ecogenomic context of a global Caldiserica-related phylum active in thawing permafrost, Candidatus Cryosericota phylum nov., Ca. Cryosericia class nov., Ca. Cryosericales ord. nov., Ca. Cryosericaceae fam. nov., comprising the four species Cryosericum septentrionale gen. nov. sp. nov., Ca. C. hinesii sp. nov., Ca. C. odellii sp. nov., Ca. C. terrychapinii sp. nov. Systematic and Applied Microbiology, 42(1):54-66, DOI:10.1016/j.syapm.2018.12.003
  • Menegat, A., P. Milberg, A.T.S. Nilsson, L. Andersson & G. Vico, 2018: Soil water potential and temperature sum during reproductive growth control seed dormancy in Alopecurus myosuroides Huds. Ecol Evol., 8:7186-7194, DOI:10.1002/ece3.4249
  • Meredith, L.K., K. Boye, C. Youngerman, M. Whelan, J. Ogée, J. Sauze & L. Wingate, 2018: Coupled biological and abiotic mechanisms driving carbonyl sulfide production in soils. Soil Syst. 2018, 2(3):37, DOI:10.3390/soilsystems2030037
  • Nemitz E., I. Mammarella, A. Ibrom et al., 2018: Standardisation of eddy-covariance flux measurements of methane and nitrous oxide. International Agrophysics, 32:517-549
  • Nicolini, G., M. Aubinet, C. Feigenwinter et al., 2018: Impact of CO2 storage flux sampling uncertainty on net ecosystem exchange measured by eddy covariance. Agricultural and Forest Meteorology, 248:228-239
  • Nilsson, E., H. Bergström, A. Rutgersson et al., 2018: Evaluating humidity and sea salt disturbances on CO2 flux measurements. Journal of Atmospheric and Oceanic Technology, 35/4:859-875, DOI:10.1175/JTECH-D-17-0072.1
  • Op de Beeck M., B. Gielen, L. Merbold et al., 2018: Soil-meteorological measurements at ICOS monitoring stations in terrestrial ecosystems. International Agrophysics, 32:619-631
  • Osterwalder, S., J. Sommar, S. Åkerblom et al., 2018: Comparative study of elemental mercury flux measurement techniques over a Fennoscandian boreal peatland. Atmospheric Environment, 172, 16-25
  • Palace, M., C. Herrick, J. DelGreco et al., 2018: Determining subarctic peatland vegetation using an Unmanned Aerial System (UAS). Remote Sensing, 10:1498, DOI:10.3390/rs10091498
  • Pavelka M., M. Acosta, R. Kiese et al., 2018: Standardisation of chamber technique for CO2, N2O and CH4 fluxes measurements from terrestrial ecosystems. International Agrophysics, 32:569-587
  • Peichl, M., M. Gažovič, I. Vermeij et al., 2018: Peatland vegetation composition and phenology drive the seasonal trajectory of maximum gross primary production. Scientific Reports, 8:8012
  • Qiu, C., D. Zhu, P. Ciais et al., 2018: ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales. Geosci. Model Dev., 11:497-519, DOI:10.5194/gmd-11-497-2018
  • Rebmann C., M. Aubinet, H. Schmid et al., 2018: ICOS eddy covariance flux-station site setup: a review. International Agrophysics, 32:471-494
  • Siewert, M.B., 2018: High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning: a case study in a sub-Arctic peatland environment. Biogeosciences, 15, 1663-1682
  • Singleton, C.M., C.K. McCalley, B.J. Woodcroft et al., 2018: Methanotrophy across a natural permafrost thaw environment. The ISME Journal, 12, 2544
  • Sponseller, R.A., M. Blackburn, M.B. Nilsson et al., 2018: Headwater mires constitute a major source of nitrogen (N) to surface waters in the boreal landscape. Ecosystems, 21, 31-44
  • Sprenger, M., D. Tetzlaff, J. Buttle et al., 2018: Storage, mixing, and fluxes of water in the critical zone across northern environments inferred by stable isotopes of soil water. Hydrological Processes, 32, 1720-1737
  • Sprenger, M., D. Tetzlaff, J. Buttle et al., 2018: Measuring and Modeling Stable Isotopes of Mobile and Bulk Soil Water. Vadose Zone J. 17:170149. doi:10.2136/vzj2017.08.0149
  • Tang, J., A.Y. Yurova, G. Schurgers et al., 2018: Drivers of dissolved organic carbon export in a subarctic catchment: Importance of microbial decomposition, sorption-desorption, peatland and lateral flow. Science of the Total Environment, 622:260-274
  • Tiwari, T., Sponseller, R.A., Laudon, H., 2018: Extreme Climate Effects on Dissolved Organic Carbon Concentrations during Snowmelt. Journal of Geophysical Research: Biogeosciences, 123/4, 1143-1144, https://doi.org/10.1002/2017JG004272
  • Tor-ngern, P., Oren, R., Palmroth et al., 2018: Water balance of pine forests: Synthesis of new and published results. Agricultural and Forest Meteorology, 259, 107-117. doi.org/10.1016/j.agrformet.2018.04.021
  • Trubl, G., H.B. Jang, S. Roux et al., 2018: Soil viruses are underexplored players in ecosystem carbon processing. MSystems 3:e00076-18, DOI:10.1128/msystems.00076-18
  • Wallermann J., J. Bolin, M.B. Nilsson & J.E.S. Fransson, 2018: Drone-based forest variables mapping of ICOS tower surroundings. In: Proceedings of 2018 IEEE international geoscience and remote sensing symposium IGARSS 2018, 9003-9006, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518895 ***-->
  • Wang, M., G. Schurgers, H. Hellén, F. Lagergren & T. Holst, 2018: Biogenic volatile organic compound emissions from a boreal forest floor. Boreal Environment Research. 23:249-265
  • Wang, S., Lu, X., Cheng, X. et al., 2018: Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions. Remote Sens. 10(11), 1784; https://doi.org/10.3390/rs10111784
  • Wik, M., J.E. Johnson, P.M. Crill et al., 2018: Sediment characteristics and methane ebullition in three subarctic lakes. Journal of Geophysical Research: Biogeosciences 123:2399-2411
  • Woodcroft, B.J., C.M. Singleton, J.A. Boyd et al., 2018: Genome-centric view of carbon processing in thawing permafrost. Nature, 560, 49
  • Wu, L., T. Hristov & A. Rutgersson, 2018: Vertical Profiles of Wave-Coherent Momentum Flux and Velocity Variances in the Marine Atmospheric Boundary Layer. Journal of Physical Oceanography, 48, 625-641

publications 2017

  • Ala-aho, P., D. Tetzlaff, J.P. McNamara, H. Laudon & C. Soulsby, 2017: Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall-Runoff) model. Hydrology and Earth System Sciences, 21:5089-5110, DOI:10.5194/hess-21-5089-2017
  • Ala-aho, P., D. Tetzlaff, J.P. McNamara, H. Laudon, P. Kormos & C. Soulsby, 2017: Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach. Water Resources Research, 53(7):5813-5830, DOI:10.1002/2017WR020650
  • Ameli, A.A., 2017: Controls on subsurface transport of sorbing contaminant. Hydrology Research, 48(5):1226-1239, DOI:10.2166/nh.2016.170
  • Ameli, A.A., K. Beven, M. Erlandsson, I.F. Creed, J.J. McDonnell & K. Bishop, 2017: Primary weathering rates, water transit times, and concentration-discharge relations: A theoretical analysis for the critical zone. Water Resources Research, 53(1):942-960, DOI:10.1002/2016WR019448
  • Ameli, A.A. & I.F. Creed, 2017: Quantifying hydrologic connectivity of wetlands to surface water systems. Hydrology & Earth System Sciences, 21/3.
  • Amvrosiadi, N., K. Bishop & J. Seibert, 2017: Soil moisture storage estimation based on steady vertical fluxes under equilibrium. Journal of Hydrology, 553:798-804, DOI:10.1016/j.jhydrol.2017.08.042
  • Amvrosiadi, N., J. Seibert, T. Grabs & K. Bishop, 2017: Water storage dynamics in a till hillslope: The foundation for modeling flows and turnover times. Hydrological Processes, 31(1):4-14, DOI:10.1002/hyp.11046
  • Askne, J.I.H., M.J. Soja & L.M.H. Ulander, 2017: Biomass estimation in a boreal forest from TanDEM-X data, lidar DTM, and the interferometric water cloud model. Remote Sensing of Environment, 196:265-278, DOI:/10.1016/j.rse.2017.05.010
  • Bidleman, TF., E. Brorström-Lundén, K. Hansson, H. Laudon, O. Nygren & M. Tysklind, 2017: Atmospheric transport and deposition of bromoanisoles along a temperate to arctic gradient. Environmental Science Technology, 51(19):10974-10982, DOI:10.1021/acs.est.7b03218
  • Bidleman, TF., H. Laudon, O. Nygren, S. Svanberg & M. Tysklind, 2017: Chlorinated pesticides and natural brominated anisoles in air at three northern Baltic stations. Environmental Pollution, 225:381-389, DOI:10.1016/j.envpol.2017.02.064
  • Blackburn, M., J.L.J. Ledesma, T. Näsholm, H. Laudon & R.A. Sponseller, 2017: Evaluating hillslope and riparian contributions to dissolved nitrogen (N) export from a boreal forest catchment. Journal of Geophysical Research: Biogeosciences, 122(2):324-339, DOI:10.1002/2016JG003535
  • Burrows, R.M., H. Laudon, B.G. McKie & R.A. Sponseller, 2017: Seasonal resource limitation of heterotrophic biofilms in boreal streams. Limnology and Oceanography, 62(1):164-176, DOI:10.1002/lno.10383
  • Bye I.J., P.R.J. North, S.O. Los et al., 2017: Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model. Remote Sensing of Environment, 188:177-189, DOI:10.1016/j.rse.2016.10.048
  • Cai Z., P. Jönsson, H. Jin & L. Eklundh, 2017: Performance of smoothing methods for reconstructing NDVI time-series and estimating vegetation phenology from MODIS data. Remote Sensing, 9(12):1271, DOI:10.3390/rs9121271
  • Campeau, A., M.B. Wallin, R. Giesler et al., 2017: Multiple sources and sinks of dissolved inorganic carbon across Swedish streams, refocusing the lens of stable C isotopes. Scientific Reports, 7:9158, DOI:10.1038/s41598-017-09049-9
  • Campeau, A., K.H. Bishop, M.F. Billett et al., 2017: Aquatic export of young dissolved and gaseous carbon from a pristine boreal fen: Implications for peat stock stability. Global Change Biology, 23(12):5523-5536, DOI:10.1111/gcb.13815
  • Deng, J., C.K. McCalley, S. Frolking et al., 2017: Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling. Adv. Modeling Earth Sys., DOI:10.1002/2016MS000817
  • Fisher, R.E., J.L. France, D. Lowry et al., 2017: Measurement of the 13C isotopic signature of methane emissions from northern European wetlands. Global Biogeochemical Cycles, 31, DOI:10.1002/2016GB005504
  • Franklin, O., C. Cambui, S. Palmroth, R. Oren & T. Näsholm, 2017: The carbon bonus of organic nitrogen enhances nitrogen use efficiency of plants. Plant, Cell & Environment, 40:25-35, DOI:10.1111/pce.12772
  • Fu, H., J. Zhu, C. Wang, H. Wang & R. Zhao, 2017: Underlying topography estimation over forest areas using high-resolution P-band single-baseline PolInSAR data. Remote Sensing, 9(4):363, DOI:10.3390/rs9040363
  • Galka, M., M. Szal, E.J. Watson et al., 2017: Vegetation succession, carbon accumulation and hydrological change in subarctic peatlands, Abisko, Northern Sweden. Permafrost and Periglac. Process., 28(4):589-604, DOI:10.1002/ppp.1945
  • Gottselig, N., W. Amelung, J.W. Kirchner et al., 2017: Elemental composition of natural nanoparticles and fine colloids in European forest stream waters and their role as phosphorus carriers. Global Biogeochemical Cycles, 31:1592-1607, DOI:10.1002/2017GB005657
  • Jammet, M., S. Dengel, E. Kettner, F.-J. W. Parmentier, M. Wik, P. Crill & T. Friborg, 2017: Year-round CH4 and CO2 flux dynamics in two contrasting freshwater ecosystems of the subarctic. Biogeosciences Discuss., 14:5189-5216, DOI:10.5194/bg-14-5189-2017
  • Jin, H., A.M. Jönsson, K. Bolmgren, O. Langvall & L. Eklundh, 2017: Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index. Remote Sensing of Environment, 198:203-212, DOI:10.1016/j.rse.2017.06.015
  • Jocher, G., M. Ottosson Löfvenius, G. De Simon et al., 2017: Apparent winter CO2 uptake by a boreal forest due to decoupling. Agriculture and Forest Meteorology, 232:23-34, DOI:10.1016/j.agrformet.2016.08.002
  • Jonsson, M., R. Burrows, J. Lidman, E. Fältström, H. Laudon & R.A. Sponseller, 2017: Land use influence macroinvertebrate community composition in boreal headwaters through altered stream conditions. Ambio, 46:311-323, DOI:10.1007/s13280-016-0837-y
  • Kozii, N., H. Laudon, M. Ottosson-Löfvenius & N.J. Hasselquist, 2017: Increasing water losses from snow captured in the canopy of boreal forests: A case study using a 30 year data set. Hydrological Processes, 31(20):3558-3567, DOI:10.1002/hyp.11277
  • Krüger, J. P., F. Conen, J. Leifeld & C. Alewell, 2017: Palsa uplift identified by stable isotope depth profiles and relation of δ15N to C/N ratio. Permafrost and Periglac. Process., 28: 485-492. DOI:10.1002/ppp.1936
  • Lansø, A., L.L. Sørensen, J.H. Christensen, A. Rutgersson & C. Geels, 2017: The influence of short-term variability in surface water on modelled air-sea exchange. Tellus B: Chemical and Physical Meteorology, 69:1, 1302670, DOI:10.1080/16000889.2017.1302670
  • Larsson, A., U. Segerström, H. Laudon & M.B. Nilsson, 2017: Holocene carbon and nitrogen accumulation rates in a boreal oligotrophic fen. Holocene, 27, 811-821, DOI:10.1177/0959683616675936
  • Laudon, H., C. Spence, J. Buttle et al., 2017: Save northern high-latitude catchments. Nature Geoscience, 10:324-325, DOI:10.1038/ngeo2947
  • Leach, J.A., W. Lidberg, L. Kuglerová, A. Peralta-Tapia, A. Ågren & H. Laudon, 2017: Evaluating topography-based predictions of shallow lateral groundwater discharge zones for a boreal lake-stream system. Water Resources Research, 53(7):5420-5437, DOI:10.1002/2016WR019804
  • Ledesma, J.L.J. & M.N. Futter, 2017: Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall-runoff models. Hydrological Processes, 31(18):3283-3293, DOI:10.1002/hyp.11269
  • Lidberg, W., A.M. Ågren, M. Nilsson & T. Lundmark, 2017: Evaluating pre-processing methods of digital elevation models for hydrological modelling. Hydrological Processes, 31(26):4660-4668, DOI:10.1002/hyp.11385
  • Lidman, F., Å. Boily, H. Laudon & S.J. Köhler, 2017: From soil water to surface water - how the riparian zone controls element transport from a boreal forest to a stream. Biogeosciences, 14(12):3001-3014, DOI:10.5194/bg-14-3001-2017
  • Lidman, J., M. Jonsson, R.M. Burrows, M. Bundschuh & R.A. Sponseller, 2017: Composition of riparian litter input regulates organic matter decomposition: implications for headwater stream functioning in a managed forest landscape. Ecology and Evolution, 7(4):1068-1077, DOI:10.1002/ece3.2726
  • Lim, H., R. Oren, S. Linder et al., 2017: Annual climate variation modifies nitrogen induced carbon accumulation of Pinus sylvestris forests. Ecological Applications, 27(6):1838-1851, DOI:10.1002/eap.1571
  • Lin, D., J. Zhu, H. Fu, Q. Xie & B. Zhang, 2017: A TSVD-based method for forest height inversion from single-baseline PolInSAR data. Applied Sciences, 7(5):435, DOI:10.3390/app7050435
  • Lindroth A., M. Heliasz, J. Holst et al., 2017: Effects of thinning on carbon dioxide exchanges in a mixed boreal forest. 19th EGU General Assembly, proceedings from the conference held 23-28 April in Vienna, Austria., p.8615
  • Mölder M. & A. Lindroth, 2017: Complex night-time CO2 fluxes at Norunda site. 19th EGU General Assembly, proceedings from the conference held 23-28 April in Vienna, p.15451
  • Mondav, R., C.K. McCalley, S.B. Hodgkins et al., 2017: Microbial network, phylogenetic diversity and community membership in the active layer across a permafrost thaw gradient. Environ.Microbiol., 19(8):3201-3218, DOI:10.1111/1462-2920.13809
  • Nijp, J.J., K. Metselaar, J. Limpens, C. Teutschbein, M. Peichl, M.B. Nilsson, F. Berendse & S.E.A.T.M van der Zee, 2017: Including hydrological self-regulating processes in peatland models: effects on peat moss drought projections. Science of The Total Enviroment, 580:1389-1400, DOI: 10.1016/j.scitotenv.2016.12.104
  • Normand, A.E., A.N. Smith, M.W. Clark, J.R. Long & K.R. Reddy, 2017: Chemical composition of soil organic matter in a subarctic peatland: Influence of shifting vegetation communities. Soil Sci. Soc. Am. J., 81:41-49, DOI:10.2136/sssaj2016.05.0148
  • Olid Garcia, C., R. Bindler, M.B. Nilsson, T. Eriksson & J. Klaminder, 2017: Effects of warming and increased nitrogen and sulfur deposition on boreal mire geochemistry. Applied Geochemistry, 78:149-157
  • Oni, S.K., F. Mieres, M.N. Futter & H. Laudon, 2017: Soil temperature responses to climate change along a gradient of upland-riparian transect in boreal forest. Climatic Change, 143(1-2):27-41, DOI:10.1007/s10584-017-1977-1
  • Osterwalder, S., K. Bishop, C. Alewell, J. Fritsche, H. Laudon, S. Åkerblom & M.B. Nilsson, 2017: Mercury evasion from a boreal peatland shortens the timeline for recovery from legacy pollution. Scientific Reports, 7:16022, DOI:10.1038/s41598-017-16141-7
  • Palmqvist, K., O. Franklin & T. Näsholm, 2017: Symbiosis constraints: Strong mycobiont control limits nutrient response in lichens. Ecology and Evolution, 7(18):7420-7433, DOI:10.1002/ece3.3257
  • Parard, G., A. Rutgersson, S.R. Parampil & A.A. Charantonis, 2017: The potential of using remote sensing data to estimate air-sea CO2 exchange in the Baltic Sea. Earth System Dynamics, 8:1093-1106, DOI:10.5194/esd-8-1093-2017
  • Persson, H.J. & J.E.S. Fransson, 2017: Comparison between TanDEM-X- and ALS-based estimation of aboveground biomass and tree height in boreal forests. Scandinavian Journal of Forest Research, 32(4), DOI:10.1080/02827581.2016.1220618
  • Pulliainen J., M. Aurela, T. Laurila et al., 2017: Early snowmelt significantly enhances boreal springtime carbon uptake. PNAS, 114(42):11081-11086, DOI:10.1073/pnas.1707889114
  • Saunois, M., P. Bousquet, B. Poulter et al., 2017: Variability and quasi-decadal changes in the methane budget over the period 2000-2012. Atmospheric Chemistry and Physics, 17:11135-11161, DOI:10.5194/acp-2017-296
  • Schlund, M., K. Scipal & M.W.J. Davidson, 2017: Forest classification and impact of biomass resolution on forest area and aboveground biomass estimation. International Journal of Applied Earth Observation and Geoinformation, 56:65-76, DOI:10.1016/j.jag.2016.12.001
  • Soares, A.R.A., A.-K. Bergström, R.A. Sponseller et al., 2017: New insights on resource stoichiometry: assessing availability of carbon, nitrogen, and phosphorus to bacterioplankton. Biogeosciences, 14(6):1527-1539, DOI:10.5194/bg-14-1527-2017
  • Soja, M.J., J.I.H. Askne & L.M.H. Ulander, 2017: Estimation of boreal forest properties from TanDEM-X data using inversion of the interferometric water cloud model. IEEE Geoscience and Remote Sensing Letters, 14(7), DOI:10.1109/LGRS.2017.2691355
  • Sponseller, R.A., M. Blackburn, M.B. Nilsson & H. Laudon, 2017: Headwater mires constitute a major source of nitrogen (N) to surface waters in the boreal landscape. Ecosystems, 21:31, DOI:10.1007/s10021-017-0133-0
  • Tetzlaff, D., S.K. Carey, J.P. McNamara, H. Laudon & C. Soulsby, 2017: The essential value of long-term experimental data for hydrology and water management. Water Resources Research, 53(4):2598-2604, DOI:10.1002/2017WR020838
  • Tiwari, T., F. Lidman, H. Laudon, W. Lidberg & A.M. Ågren, 2017: GIS-based prediction of stream chemistry using landscape composition, wet areas and hydrological flow pathways. Journal of Geophysical Research: Biogeosciences, 122(1):65-79, DOI:10.1002/2016JG003399
  • Van Meeningen, Y., 2017: Is genetic diversity more important for terpene emissions than latitudinal adaptation? Using genetically identical trees to better understand emission fluctuations across a European gradient. PhD thesis, Lund University, Faculty of Science, Department of Physical Geography and Ecosystem Science ***-->
  • Van Meeningen, Y., M. Wang, T. Karlsson, A. Seifert, G. Schurgers, R. Rinnan & H. Holst, 2017: Isoprenoid emission variation of Norway spruce across a European latitudinal transect. Atmospheric Environment, 170:45-57, DOI:10.1016/j.atmosenv.2017.09.045
  • Wällstedt, T., L. Björkvald, H. Laudon, H. Borg & C.M. Mörth, 2017: Landscape control on the hydrogeochemistry of As, Co and Pb in a boreal stream network. Geochimica et Cosmochimica Acta, 211:194-213, DOI:10.1016/j.gca.2016.08.030
  • Wang, M., G. Schurgers, A. Arneth, A. Ekberg & T. Holst, 2017: Seasonal variation in biogenic volatile organic compound (BVOC) emissions from Norway spruce in a Swedish boreal forest. Boreal Environment Research, 22:353-367, ISSN 1797-2469
  • Wilson, R.M., M.M. Tfaily, V.I. Rich et al., 2017: Hydrogenation of organic matter as a terminal electron sink sustains high CO2:CH4 production ratios during anaerobic decomposition. Org. Geochem., 112:22-32, DOI:10.1016/j.orggeochem.2017.06.011
  • Wu, L., A. Rutgersson & E. Nilsson, 2017: Atmospheric boundary layer turbulence closure scheme for wind-following swell conditions. Journal of Atmospheric Science, 74:2363-2382, DOI:10.1175/JAS-D-16-0308.1
  • Wu, L., D. Sproson, E. Sahlée & A. Rutgersson, 2017: Surface wave impact when simulating midlatitude storm development. Journal of Atmospheric Oceanic Technology, 34:233-248, DOI:10.1175/JTECH-D-16-0070.1
  • Xie, Q., J. Zhu, C. Wang, H. Fu, J.M. Lopez-Sanchez & J.D. Ballester-Berman, 2017: A modified dual-baseline PolInSAR method for forest height estimation. Remote Sensing, 9(8):819; DOI:10.3390/rs9080819
  • Zhao, J., M. Peichl & M.B. Nilsson, 2017: Long-term enhanced winter soil frost alters growing season CO2 fluxes through its impact on vegetation development in a boreal peatland. Global Change Biology, 23:3139-3153, DOI:10.1111/gcb.13621

publications 2016

  • Andersson, A., A. Rutgersson & E. Sahlée, 2016: Using eddy covariance to estimate air-sea gas transfer velocity for oxygen. Journal of Marine Systems, 159:67-75, DOI: 10.1016/j.jmarsys.2016.02.008
  • Blume-Werry, G., J. Kreyling, H. Laudon & A. Milbau, 2016: Short-term climate change manipulation effects do not scale up to long-term legacies: effects of an absent snow cover on boreal forest plants. Journal of Ecology, 104(6):1638-1648, DOI:10.1111/1365-2745.12636
  • Creamer, R.E., D. Stone, P. Berry & I. Kuiper 2016: Measuring respiration profiles of soil microbial communities across Europe using MicroResp™ method. Applied Soil Ecology, DOI:10.1016/j.apsoil.2015.08.004
  • Creamer, R.E., S.E. Hannula, J.P. Van Leeuwen, et al., 2015: Ecological network analysis reveals the inter-connection between soil biodiversity and ecosystem function as affected by land use across Europe. Applied Soil Ecology, DOI:10.1016/j.apsoil.2015.08.006
  • Douglas, P.M.J., D.A. Stolper, K.M. Walter Anthony et al., 2016: Diverse origins of arctic and subarctic methane point source emissions identified with multiply-substituted isotopologues. Geochm.Cosmochim. Acta, DOI:10.1016/j.gca.2016.05.031
  • Francisco, R., D. Stone, R.E. Creamer, J.P. Sousa & P.V. Morais, 2016: European scale analysis of phospholipid fatty acid composition of soils to establish operating ranges. Applied Soil Ecology, 97:49-60, DOI:10.1016/j.apsoil.2015.09.001
  • Griffiths, R.I., B.C. Thomson, P. Plassart et al., 2016: Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets. Applied Soil Ecology, 97:61-68, DOI:10.1016/j.apsoil.2015.06.018
  • Gundale, M.J., M.-C. Nilsson, N. Pluchon & D.A. Wardle 2016: The effect of biochar management on soil and plant community properties in a boreal forest. Global Change Biology Bioenergy, DOI:10.1111/gcbb.12274
  • Hendriksen, N.B., R.E. Creamer, D. Stone & A. Winding, 2016: Soil exo-enzyme activities across Europe - The influence of climate, land-use and soil properties. Applied Soil Ecology, DOI:10.1016/j.apsoil.2015.08.012
  • Hodgkins, S.B., M. Tfaily, D.C. Podgorski et al., 2016: Elemental composition and optical properties 1 reveal changes in dissolved organic matter along a permafrost thaw chronosequence in a subarctic peatland. Geochm.Cosmochim. Acta, DOI: 10.1016/j.gca.2016.05.015
  • Karlsen, R.H., T. Grabs, K. Bishop, I. Buffam, H. Laudon & J. Seibert, 2016: Landscape controls on spatiotemporal discharge variability in a boreal catchment. Water Resources Research, 52(8):6541-6556, DOI:10.1002/2016WR019186
  • Karlsen, R.H., J. Seibert, T. Grabs, H. Laudon, P. Blomkvist, P. & K. Bishop, 2016: The assumption of uniform specific discharge: unsafe at any time? Hydrological Processes, 30(21):3978-3988, DOI:10.1002/hyp.10877
  • Kasurinen, V., K. Alfredsen, A. Ojala et al., 2016: Modeling nonlinear responses of DOC transport in boreal catchments in Sweden. Water Resources Research, 52(7):4970-4989, DOI:10.1002/2015WR018343
  • Kuglerová, L., M. Dynesius, H. Laudon & R. Jansson, 2016: Relationships between plant assemblages and water flow across a boreal forest landscape - A comparison of liverworts, mosses, and vascular plants. Ecosystems, DOI:10.1007/s10021-015-9927-0
  • Laudon, H. & M. Ottosson Löfvenius, 2016: Adding snow to the picture - providing complementary winter precipitation data to the Krycklan catchment study database. Hydrological Processes, 30(13):2413-2416, DOI:10.1002/hyp.1075
  • Laudon, H., L. Kuglerová, R.A. Sponseller et al., 2016: The role of biogeochemical hotspots, landscape heterogeneity and hydrological connectivity for minimizing forestry effects on water quality. Ambio, 45:152-162, DOI:10.1007/s13280-015-0751-8
  • Launiainen S., G.G. Katul, P. Kolari et al., 2016: Do the energy fluxes and surface conductance of boreal coniferous forests in Europe scale with leaf area? Global Change Biology, 22:4096-411, DOI:10.1111/gcb.13497
  • Leach, J., A. Larsson, M. Wallin, M.B. Nilsson & H. Laudon, 2016: Twelve year interannual and seasonal variability of stream carbon export from a boreal peatland catchment. JGR-Biogeosciences, DOI: 10.1002/2016JG003357
  • Logue, J.B., C.A. Stedmon, A.M. Kellerman et al., 2015: Experimental insights into the importance of aquatic bacterial community composition to the degradation of dissolved organic matter. The ISME Journal, 10, 533–545, DOI:10.1038/ismej.2015.131
  • Lucas, R.W., R.A. Sponseller, M.J. Gundale, J. Stendahl, J. Fridman, P. Hö;gberg & H. Laudon, 2016: Long-term declines in stream and river inorganic nitrogen (N) export correspond to forest change. Ecological Applications, 26(2):545-556
  • Metzger, C., M.B. Nilsson, M. Peichl & P.-E. Jansson, 2016: Parameter interactions and sensitivity analysis for modelling carbon heat and water fluxes in a natural peatland, using CoupModel v5. Geoscientific Model Development, 9:4313-4338, DOI:10.5194/gmd-9-4313-2016
  • Minunno F., M. Peltoniemi, S. Launiainen et al., 2016: Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. Ecological Modelling, 341:37-52, DOI:10.1016/j.ecolmodel.2016.09.020
  • Oni, S., M. Futter, J. Ledesma, C. Teutschbein, J. Buttle & H. Laudon, 2016: Using dry and wet year hydroclimatic extremes to guide future hydrologic projections. Hydrology and Earth System Sciences, 20(7):2811-2825, DOI:10.5194/hess-20-2811-2016
  • Osterwalder, S., J. Fritsche, C. Alewell et al., 2016: A dual-inlet, single detector relaxed eddy accumulation system for long-term measurement of mercury flux. Atmospheric Measurement Techniques, 9:509-524, DOI:10.5194/atm-9-509-2016
  • Panneer Selvam, B., H. Laudon, F. Guillemette & M. Berggren, 2016: Influence of soil frost on the character and degradability of dissolved organic carbon in boreal forest soils. Journal of Geophysical Research: Biogeosciences, 121(3):829-840, DOI:10.1002/2015JG003228
  • Parard, G., A. Charantonis & A. Rutgersson, 2016: Using satellite data to estimate partial pressure of CO2 in the Baltic Sea. J. Geophys. Res. Biogeosci., 121, 1-14, DOI:10.1002/2015JG003064
  • Rutgers, M., M. Wouterse, S.M. Drost et al., 2016: Monitoring soil bacteria with community-level physiological profiles using Biolog™ ECO-plates in the Netherlands and Europe. Applied Soil Ecology, DOI:10.1016/j.apsoil.2015.06.007
  • Schelker, J., R. Sponseller, E. Ring, L. Högbom, S. Löfgren & H. Laudon, 2016: Nitrogen export from a boreal stream network following forest harvesting: seasonal nitrate removal and conservative export of organic forms. Biogeosciences Discussions, 13:1-12, DOI:10.5194/bg-13-1-2016
  • Siegenthaler, A., B. Welch, S.R. Pangala, M. Peacock & V. Gauci, 2016: Technical Note: Semi-rigid chambers for methane gas flux measurements on tree-stems. Biogeosciences Discussions, 13:1197-1207, DOI:10.5194/bg-13-1197-2016
  • Stone, D., P. Blomkvist, N. Bohse Hendriksen et al., 2016: A method of establishing a transect for biodiversity and ecosystem function monitoring across Europe. Applied Soil Ecology, DOI:10.1016/j.apsoil.2015.06.017
  • Svensson N., H. Bergström, E. Sahlée & A. Rutgersson, 2016: Stable atmospheric conditions over the Baltic Sea: model evaluation and climatology. Boreal Env. Res., 21:387-404.
  • Temnerud, J., C. von Bromssen, J. Folster et al., 2016: Map-based prediction of organic carbon in headwater streams improved by downstream observations from the river outlet. Biogeosciences, 13, 399-413.
  • Thornton, B.F., M. Wik & P.M. Crill, 2016: Double-counting: a challenge to the accuracy of high-latitude methane inventories. Geophys. Res. Letts., 43(24):12569-12577, DOI:10.1002/2016GL071772
  • Wik, M., B.F. Thornton, D. Bastviken, J. Uhlbäck & P.M. Crill, 2016: Biased sampling of methane release from northern lakes: a problem for extrapolation. Geophys. Res. Letts., 43, 1256-1262, DOI:10.1002/2015GL066501
  • Wik, M., R.K. Varner, K. Walter-Anthony, S. MacIntyre & D. Bastviken, 2016: Climate-sensitive northern lakes and ponds are critical components of methane release. Nature Geoscience, 9:99-105, DOI:10.1038/ngeo2578
  • Winterdahl, M., M.B. Wallin, R. Huseby Karlsen, H. Laudon, M. Öquist & S.W. Lyon, 2016: Decoupling of carbon dioxide and dissolved organic carbon in boreal headwater streams. Journal of Geophysical Research: Biogeosciences, 121(10):2630-2651, DOI:10.1002/2016JG003420
  • Wu L., A. Rutgersson, E. Sahlée & X. Guo Larsén, 2016: Swell impact on wind stress and atmospheric mixing in a regional coupled atmosphere-wave model. J. Geophys. Res. Oceans, 121(7):4633-464, DOI:10.1002/2015JC011576
  • Yao Y., S. Liang, X. Li et al., 2016: Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations. Agricultural and Forest Meteorology, 223:151-167, DOI:10.1016/j.agrformet.2016.03.016
  • Zhao, J., M. Peichl & M.B. Nilsson, 2016: Enhanced winter soil frost reduces methane emission during the subsequent growing season in a boreal peatland. Global Change Biology, 22(2):750-762, DOI:10.1111/gcb.13119
  • Zhao, J., M. Peichl, M. Öquist & M.B. Nilsson, 2016: Gross primary production controls the subsequent winter CO2 exchange in a boreal peatland. Global Change Biology, 22(12):4028-4037, DOI:10.1111/gcb.13308

publications 2015

  • Ågren, A.M., W. Lidberg & E. Ring, 2015: Mapping temporal dynamics in a forest stream network-implications for riparian forest management. Forests, 6(9):2982-3001, DOI:10.3390/f6092982
  • Åkerblom, S., M. Meili & K. Bishop, 2015: Organic matter in rain: An overlooked influence on mercury deposition. Environmental Science & Technology Letters, 2(4):128-132, doi:10.1021/acs.estlett.5b00009
  • Ali, G., D. Tetzlaff, J.J. McDonnell et al., 2015: Comparison of threshold hydrologic response across northern catchments. Hydrological Processes, 29:3575-3591, DOI:10.1002/hyp.10527
  • Berggren, M., A.-K. Bergström & J. Karlsson, 2015: Intraspecific autochthonous and allochthonous resource use by zooplankton in a humic lake during the transitions between winter, summer and fall. PLoS ONE, 10(3): e0120575, DOI:10.1371/journal.pone.0120575
  • Bidleman, T., K. Agosta, A. Andersson et al., 2015: Atmospheric pathways of chlorinated pesticides and natural bromoanisoles in the northern Baltic Sea and its catchment. AMBIO, 44(3):472-483, DOI:10.1007/s13280-015-0666-4
  • Bishop, K. & J. Seibert, 2015: A primer for hydrology: the beguiling simplicity of Water’s journey from rain to stream at 30. Hydrological Processes, 29:3443-3446, DOI:10.1002/hyp.10516
  • Burrows, R.M., E.R. Hotchkiss, M. Jonsson, H. Laudon, B.G. McKie & R.A. Sponseller, 2015: Nitrogen limitation of heterotrophic biofilms in boreal streams. Freshwater Biology, 60(7):1237-1251, DOI:10.1111/fwb.12549
  • Campioli, M., S. Vicca, S. Luyssaert et al., 2015: Biomass production efficiency controlled by management in temperate and boreal ecosystems. Nature Geoscience, 8:843-846, DOI:10.1038/ngeo2553
  • Creed, I.F., D.M. McKnight, B.A. Pellerin et al., 2015: The river as a chemostat: Fresh perspectives on dissolved organic matter flowing down the river continuum. Canadian Journal of Fisheries and Aquatic Sciences, 72(8):1272-1285, DOI:10.1139/cjfas-2014-0400
  • Eklöf, K., A. Kraus, M. Futter, J. Schelker, M. Meili, E.W. Boyer & K. Bishop, 2015: Parsimonious model for simulating total mercury and methylmercury in boreal streams based on riparian flow paths and seasonality. Environmental Science & Technology, 49(13):7851-7859, DOI:10.1021/acs.est.5b00852
  • Filipovic, M., H. Laudon, M.S. McLachlan & U. Berger, 2015: Mass balance of perfluorinated alkyl acids in a pristine boreal catchment. Environmental Science & Technology, 49(20):12127-12135, DOI:10.1021/acs.est.5b03403
  • Gouttevin, I., M. Lehning, T. Jonas, D. Gustafsson & M. Mölder, 2015: A two-layer canopy model with thermal inertia for an improved snowpack energy balance below needleleaf forest (model SNOWPACK, version 3.2.1, revision 741). Geosci. Model Dev., 8:2379-2398, DOI:10.5194/gmd-8-2379-2015
  • Hahmann, A.N., C.L. Vincent, A. Peña, J. Lange & C.B. Hasager, 2015: Wind climate estimation using WRF model output: method and model sensitivities over the sea. Int. J. Climatol, 35:3422-3439, DOI:10.1002/joc.4217
  • Henriksson, N., L. Tarvainen, H. Lim et al., 2015: Stem compression reversibly reduces phloem transport in Pinus sylvestris trees. Tree Physiology, 35(10):1075-1085, DOI:10.1093/treephys/tpv078
  • Hodgkins, S.B., J.P. Chanton, L.C. Langford et al., 2015: Soil incubations reproduce field methane dynamics in a subarctic wetland. Biogeochemistry, 126:241-249, DOI:10.1007/s10533-015-0142-z
  • Högström U., E. Sahlée, A. Smedman, A. Rutgersson, E. Nilsson, K.K. Kahma & W.M. Drennan, 2015: Surface stress over the ocean in swell-dominated conditions during moderate winds. Journal of the Atmospheric Sciences, 66(9):2764-2779
  • Hytteborn, J.K., J. Temnerud, R.B. Alexander et al., 2015: Patterns and predictability in the intra-annual organic carbon variability across the boreal and hemiboreal landscape. Science of The Total Environment, 520:260-269, DOI:10.1016/j.scitotenv.2015.03.041
  • Jammet, M., P. Crill, S. Dengel & T. Friborg, 2015: Large methane emissions from a subarctic lake during spring thaw: Mechanisms and landscape significance. J. Geophys. Res. Biogeosci., 120, DOI:10.1002/2015JG003137
  • Jantze, E.J., H. Laudon, H.E. Dahlke & S.W. Lyon, 2015: Spatial variability of dissolved organic and inorganic carbon in sub-arctic headwater streams. Arctic, Antarctic, and Alpine Research, 47(3):529-546, doi: http://dx.doi.org/10.1657/AAAR0014-044
  • Johansson, S., K. Carlqvist, R. Kataria et al., 2015: Implications of differences in macromolecular composition of stem fractions for processing of Scots pine. Wood Science and Technology, 49(5):1037-1054, DOI:10.1007/s00226-015-0739-3
  • Kadygrov, N., G. Broquet, F. Chevallier, et al., 2015: On the potential of the ICOS atmospheric CO2 measurement network for estimating the biogenic CO2 budget of Europe. Atmospheric Chemistry and Physics, 15, 12765-12787.
  • Kothawala, D.N., X. Ji, H. Laudon, A.M. Ågren, M.N. Futter, S.J. Köhler & L.J. Tranvik, 2015: The relative influence of land cover, hydrology, and in-stream processing on the composition of dissolved organic matter in boreal streams. Journal of Geophysical Research: Biogeosciences, 120(8):1491-1505, DOI:10.1002/2015JG002946
  • Kugler, F., S.K. Lee, I. Hajnsek & K.P. Papathanassiou, 2015: Forest height estimation by means of Pol-InSAR data inversion: The role of the vertical wavenumber. Geoscience and Remote Sensing, IEEE Transactions on 53(10):5294-5311, DOI:10.1109/TGRS.2015.2420996
  • Kuglerová, L., R. Jansson, R.A. Sponseller, H. Laudon & B. Renö;fält Malm, 2015: Local and regional processes determine plant species richness in a river-network metacommunity. Ecology, 96(2):381-391, DOI:10.1890/14-0552.1
  • Lam, N., M. Nathanson, N. Lundgren, R. Rehnström & S.W. Lyon, 2015: A cost-effective laser scanning method for mapping stream channel geometry and roughness. Journal of the American Water Resources Association (JAWRA), 51(5):1211-1220, DOI:10.1111/1752-1688.12299
  • Ledesma, J., T. Grabs, K. Bishop, S. Schiff & S. Köhler, 2015: Potential for long-term transfer of dissolved organic carbon from riparian zones to streams in boreal catchment. Global Change Biology, 21(8):2963-2979, DOI:10.1111/gcb.12872
  • Leith, F.I., K.J. Dinsmore, M.B. Wallin et al., 2015: Carbon dioxide transport across the hillslope-riparian-stream continuum in a boreal headwater catchment. Biogeosciences, 12:1881-1892, DOI:10.5194/bg-12-1881-2015
  • Lyon, S.W., M. Nathanson, N. Lam, H.E. Dahlke, M. Rutzinger, J.W. Kean & H. Laudon, 2015: Can low-resolution airborne laser scanning data be used to model stream rating curves? Water, 7(4):1324-1339, DOI:10.3390/w7041324
  • Ma, M., D. Wang, H. Du, T. Sun, Z. Zhao & S. Wei, 2015: Atmospheric mercury deposition and its contribution of the regional atmospheric transport to mercury pollution at a national forest nature reserve, southwest China. Environmental Science and Pollution Research, DOI:10.1007/s11356-015-5152-9
  • Maaroufi, N.I., A. Nordin, N.J. Hasselqvist, L.H. Bach, K. Palmqvist & M.J. Gundale, 2015: Anthropogenic nitrogen deposition enhances carbon sequestration in boreal soils. Global Change Biology, 21(8):3169-3180, DOI:10.1111/gcb.12904
  • Malhotra A. & N. Roulet, 2015: Environmental correlates of peatland carbon fluxes in a thawing landscape: do transitional thaw stages matter? Biogeosciences, 12:3119-3130, DOI:10.5194/bg-12-3119-2015
  • Nijp, J.J., J. Limpens, K. Metselaar et al., 2015: Rain events decrease peatland net CO2 uptake through reduced light availability. Global Change Biology, DOI:10.1111/gcb.12864
  • Osterwalder, S., J. Fritsche, M.B. Nilsson et al., 2015: A dual, single detector relaxed eddy accumulation system for long-term measurement of mercury flux. Atmospheric Measurement Techniques Discussions, 8.
  • Parard, G., A. Charantonis & A. Rutgersson, 2015: Remote sensing the sea surface CO2 of the Baltic Sea using the SOMLO methodology. Biogeosciences, 12:3369-3384, DOI:10.5194/bg-12-3369-2015
  • Peichl, M., O. Sonnentag & M. Nilsson, 2015: Bringing Color into the picture: Using digital repeat photography to investigate phenology controls of the carbon dioxide exchange in a boreal mire. Ecosystems, 18(1):115-131
  • Peralta-Tapia, A., R.A. Sponseller, D. Tetzlaff, C. Soulsby & H. Laudon, 2015: Connecting precipitation inputs and soil flow pathways to stream water in contrasting boreal catchments. Hydrological Processes, 29(16):3546-3555, DOI:10.1002/hyp.10300
  • Peralta-Tapia, A., R.A. Sponseller, A. Ågren, D. Tetzlaff, C. Soulsby & H. Laudon, 2015: Scale-dependent groundwater contributions influence patterns of winter baseflow stream chemistry in boreal catchments. Journal of Geophysical Research: Biogeosciences, 120(5):847-858, DOI:10.1002/2014JG002878
  • Santoro, M., L.E. Eriksson & J.E. Fransson, 2015: Reviewing ALOS PALSAR backscatter observations for stem volume retrieval in swedish forest. Remote Sensing, 7(4):4290-4317, DOI:10.3390/rs70404290
  • Schurgers G., F. Lagergren, M. Mölder & A. Lindroth, 2015: The importance of micrometeorological variations for photosynthesis and transpiration in a boreal coniferous forest. Biogeosciences, 12:237-256, DOI:10.5194/bg-12-237-2015
  • Song, J., W. Fan, S. Li & M. Zhou, 2015: Impact of surface waves on the steady near-surface wind profiles over the ocean. Boundary-Layer Meteorol, 155:111-127, DOI 10.1007/s10546-014-9983-6
  • Sundqvist E., M. Mölder, P. Crill, N. Kljun & A. Lindroth, 2015: Methane exchange in a boreal forest estimated by gradient method. Tellus B, 67:26688, DOI:10.3402/tellusb.v67.26688
  • Sundqvist, E., A. Persson, N. Kljun, P. Vestin, L. Chasmer, C. Hopkinson & A. Lindroth, 2015: Upscaling of methane exchange in a boreal forest using soil chamber measurements and high-resolution LiDAR elevation data. Agricultural and Forest Meteorology, 214-215:393-401, DOI:10.1016/j.agrformet.2015.09.003
  • Tang, J., P. Pilesjö, P.A. Miller, P.M. Crill & S. Olin, 2015: Investigating the influence of two different flow routing algorithms on soil - water - vegetation interactions using the dynamic ecosystem model LPJ-GUESS. Ecohydrology, 8:570-583, DOI:10.1002/eco.1526
  • Temnerud, J., C. von Brömssen, J. Fölster, I. Buffam, J.-O. Andersson, L. Nyberg & K. Bishop, 2015: Map-based prediction of organic carbon in headwaters streams improved by downstream observations from the river outlet. Biogeosciences Discussions, 12:9005-9041, DOI:10.5194/bgd-12-9005-2015
  • Tetzlaff, D., J. Buttle, S.K. Carey, K. McGuire, H. Laudon & C. Soulsby, 2015: Tracer-based assessment of flow paths, storage and runoff generation in northern catchments: a review. Hydrological Processes, 29(16):3475-3490, DOI:10.1002/hyp.10412
  • Tetzlaff, D., J. Buttle, S.K. Carey et al., 2015: A preliminary assessment of water partitioning and ecohydrological coupling in northern headwaters using stable isotopes and conceptual runoff models. Hydrological Processes, DOI:10.1002/hyp.10515
  • Teutschbein, C., T. Grabs, R.H. Karlsen, H. Laudon & K. Bishop, 2015: Hydrological response to changing climate conditions: Spatial streamflow variability in the boreal region. Water Resources Research, 51(12):9425-9446, DOI:10.1002/2015WR017337
  • Thornton B.F., M. Wik & P.M. Crill, 2015: Climate-forced changes in available energy and methane bubbling from subarctic lakes. Geophysical Research Letters, 42(6):1936-1942, DOI:10.1002/2015GL063189
  • Vieira, V.M.N.C.S., E. Sahlée, P. Jurus, E. Clementi, H. Pettersson & M. Mateus, 2015: Improving estimations of greenhouse gas transfer velocities by atmosphere-ocean couplers in Earth-system and regional models. Biogeosciences Discussions, 12:15901-15924, DOI:10.5194/bgd-12-15901-2015
  • Vincent, C.L. & A.N. Hahmann, 2015: The impact of grid and spectral nudging on the variance of the near-surface wind speed. J. Appl. Meteor. Climatol., 54, 1021-1038.
  • Wingate, L., J. Ogée, E. Cremonese, et al., 2015: Interpreting canopy development and physiology using a European phenology camera network at flux sites. Biogeosciences, 12:5995-6015, DOI:10.5194/bg-12-5995-2015
  • Wu, L., A. Rutgersson, E. Sahlée & X.G. Larsén, 2015: The impact of waves and sea spray on modelling storm track and development. Tellus A, 67:27,967

List of the ICOS Ecosystem station protocols:

  • Arrouays et al., 2018: Soil sampling and preparation for monitoring soil carbon. Int. Agrophys., 32, 633-643
  • Carrara et al., 2018: Radiation measurements at ICOS Ecosystem stations. Int. Agrophys., 32, 589-605
  • Dengel et al., 2018: Standardized precipitation measurements within ICOS: rain, snowfall and snow depth: a review. Int. Agrophys., 32, 607-617
  • Franz et al, 2018: Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe's terrestrial ecosystems: a review. Int. Agrophys., 32, 439-455
  • Gielen et al, 2018: Ancillary vegetation measurements at ICOS Ecosystem stations. Int. Agrophys., 32, 645-664
  • Hufkens et al., 2018: Assimilating phenology datasets automatically across ICOS Ecosystem stations. Int. Agrophys., 32, 677-687
  • Loustau et al., 2018: Sampling and collecting foliage elements for the determination of the foliar nutrients in ICOS Ecosystem stations. Int. Agrophys., 32, 665-676
  • Montagnani et al., 2018: Estimating the storage term in eddy covariance measurements: the ICOS methodology. Int. Agrophys., 32, 551-567
  • Nemitz et al, 2018: Standardisation of eddy-covariance flux measurements of methane and nitrous oxide. Int. Agrophys., 32, 517-549
  • Op de Beeck et al., 2018: Soil-meteorological measurements at ICOS monitoring stations in terrestrial ecosystems. Int. Agrophys., 32, 619-631
  • Pavelka et al, 2018: Standardisation of chamber technique for CO2, N2O and CH4 fluxes measurements from terrestrial ecosystems. Int. Agrophys., 32, 569-587
  • Rebmann et al, 2018: ICOS eddy covariance flux-station site setup: a review. Int. Agrophys., 32, 471-494
  • Sabbatini et al, 2018: Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS Ecosystem stations. Int. Agrophys., 32, 495-515
  • Saunders et al., 2018: Importance of reporting ancillary site characteristics, and management and disturbance information at ICOS stations. Int. Agrophys., 32, 457-469