Vegetation type is an important predictor of the arctic summer land surface energy budget

Jacqueline Oehri; Gabriela Schaepman-Strub; Jin Soo Kim; Raleigh Grysko; Heather Kropp; Inge Grünberg; Vitalii Zemlianskii; Oliver Sonnentag; Eugénie S. Euskirchen; Merin Reji Chacko; Giovanni Muscari; Peter D. Blanken; Joshua F. Dean; Alcide di Sarra; Richard J. Harding; Ireneusz Sobota; Lars Kutzbach; Elena Plekhanova; Aku Riihelä; Julia Boike; Nathaniel B. Miller; Jason Beringer; Efrén López-Blanco; Paul C. Stoy; Ryan C. Sullivan; Marek Kejna; Frans Jan W. Parmentier; John A. Gamon; Mikhail Mastepanov; Christian Wille; Marcin Jackowicz-Korczynski; Dirk N. Karger; William L. Quinton; Jaakko Putkonen; Dirk van As; Torben R. Christensen; Maria Z. Hakuba; Robert S. Stone; Stefan Metzger; Baptiste Vandecrux; Gerald V. Frost; Martin Wild; Birger Hansen; Daniela Meloni; Florent Domine; Mariska te Beest; Torsten Sachs; Aram Kalhori; Adrian V. Rocha; Scott N. Williamson; Sara Morris; Adam L. Atchley; Richard Essery; Benjamin R.K. Runkle; David Holl; Laura D. Riihimaki; Hiroki Iwata; Edward A.G. Schuur; Christopher J. Cox; Andrey A. Grachev; Joseph P. McFadden; Robert S. Fausto; Mathias Göckede; Masahito Ueyama; Norbert Pirk; Gijs de Boer; M. Syndonia Bret-Harte; Matti Leppäranta; Konrad Steffen; Thomas Friborg; Atsumu Ohmura; Colin W. Edgar; Johan Olofsson; Scott D. Chambers

doi:10.1038/s41467-022-34049-3

Vegetation type is an important predictor of the arctic summer land surface energy budget

Jacqueline Oehri^*, Gabriela Schaepman-Strub, Jin Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie S. Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua F. Dean, Alcide di Sarra, Richard J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, Julia BoikeNathaniel B. Miller, Jason Beringer, Efrén López-Blanco, Paul C. Stoy, Ryan C. Sullivan, Marek Kejna, Frans Jan W. Parmentier, John A. Gamon, Mikhail Mastepanov, Christian Wille, Marcin Jackowicz-Korczynski, Dirk N. Karger, William L. Quinton, Jaakko Putkonen, Dirk van As, Torben R. Christensen, Maria Z. Hakuba, Robert S. Stone, Stefan Metzger, Baptiste Vandecrux, Gerald V. Frost, Martin Wild, Birger Hansen, Daniela Meloni, Florent Domine, Mariska te Beest, Torsten Sachs, Aram Kalhori, Adrian V. Rocha, Scott N. Williamson, Sara Morris, Adam L. Atchley, Richard Essery, Benjamin R.K. Runkle, David Holl, Laura D. Riihimaki, Hiroki Iwata, Edward A.G. Schuur, Christopher J. Cox, Andrey A. Grachev, Joseph P. McFadden, Robert S. Fausto, Mathias Göckede, Masahito Ueyama, Norbert Pirk, Gijs de Boer, M. Syndonia Bret-Harte, Matti Leppäranta, Konrad Steffen, Thomas Friborg, Atsumu Ohmura, Colin W. Edgar, Johan Olofsson, Scott D. Chambers

^*Corresponding author for this work

Department of Ecoscience - Arctic Ecosystem Ecology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm⁻²) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.

Original language	English
Article number	6379
Journal	Nature Communications
Volume	13
Issue	1
ISSN	2041-1723
DOIs	https://doi.org/10.1038/s41467-022-34049-3
Publication status	Published - Dec 2022

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Oehri, J., Schaepman-Strub, G., Kim, J. S., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., ... Chambers, S. D. (2022). Vegetation type is an important predictor of the arctic summer land surface energy budget. Nature Communications, 13(1), Article 6379. https://doi.org/10.1038/s41467-022-34049-3

@article{1d6e6882b6914e9a91c833d837c9bc09,

title = "Vegetation type is an important predictor of the arctic summer land surface energy budget",

abstract = "Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.",

author = "Jacqueline Oehri and Gabriela Schaepman-Strub and Kim, {Jin Soo} and Raleigh Grysko and Heather Kropp and Inge Gr{\"u}nberg and Vitalii Zemlianskii and Oliver Sonnentag and Euskirchen, {Eug{\'e}nie S.} and {Reji Chacko}, Merin and Giovanni Muscari and Blanken, {Peter D.} and Dean, {Joshua F.} and {di Sarra}, Alcide and Harding, {Richard J.} and Ireneusz Sobota and Lars Kutzbach and Elena Plekhanova and Aku Riihel{\"a} and Julia Boike and Miller, {Nathaniel B.} and Jason Beringer and Efr{\'e}n L{\'o}pez-Blanco and Stoy, {Paul C.} and Sullivan, {Ryan C.} and Marek Kejna and Parmentier, {Frans Jan W.} and Gamon, {John A.} and Mikhail Mastepanov and Christian Wille and Marcin Jackowicz-Korczynski and Karger, {Dirk N.} and Quinton, {William L.} and Jaakko Putkonen and {van As}, Dirk and Christensen, {Torben R.} and Hakuba, {Maria Z.} and Stone, {Robert S.} and Stefan Metzger and Baptiste Vandecrux and Frost, {Gerald V.} and Martin Wild and Birger Hansen and Daniela Meloni and Florent Domine and {te Beest}, Mariska and Torsten Sachs and Aram Kalhori and Rocha, {Adrian V.} and Williamson, {Scott N.} and Sara Morris and Atchley, {Adam L.} and Richard Essery and Runkle, {Benjamin R.K.} and David Holl and Riihimaki, {Laura D.} and Hiroki Iwata and Schuur, {Edward A.G.} and Cox, {Christopher J.} and Grachev, {Andrey A.} and McFadden, {Joseph P.} and Fausto, {Robert S.} and Mathias G{\"o}ckede and Masahito Ueyama and Norbert Pirk and {de Boer}, Gijs and Bret-Harte, {M. Syndonia} and Matti Lepp{\"a}ranta and Konrad Steffen and Thomas Friborg and Atsumu Ohmura and Edgar, {Colin W.} and Johan Olofsson and Chambers, {Scott D.}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = dec,

doi = "10.1038/s41467-022-34049-3",

language = "English",

volume = "13",

journal = "Nature Communications",

issn = "2041-1723",

publisher = "Springer Nature",

number = "1",

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Oehri, J, Schaepman-Strub, G, Kim, JS, Grysko, R, Kropp, H, Grünberg, I, Zemlianskii, V, Sonnentag, O, Euskirchen, ES, Reji Chacko, M, Muscari, G, Blanken, PD, Dean, JF, di Sarra, A, Harding, RJ, Sobota, I, Kutzbach, L, Plekhanova, E, Riihelä, A, Boike, J, Miller, NB, Beringer, J, López-Blanco, E, Stoy, PC, Sullivan, RC, Kejna, M, Parmentier, FJW, Gamon, JA, Mastepanov, M, Wille, C, Jackowicz-Korczynski, M, Karger, DN, Quinton, WL, Putkonen, J, van As, D, Christensen, TR, Hakuba, MZ, Stone, RS, Metzger, S, Vandecrux, B, Frost, GV, Wild, M, Hansen, B, Meloni, D, Domine, F, te Beest, M, Sachs, T, Kalhori, A, Rocha, AV, Williamson, SN, Morris, S, Atchley, AL, Essery, R, Runkle, BRK, Holl, D, Riihimaki, LD, Iwata, H, Schuur, EAG, Cox, CJ, Grachev, AA, McFadden, JP, Fausto, RS, Göckede, M, Ueyama, M, Pirk, N, de Boer, G, Bret-Harte, MS, Leppäranta, M, Steffen, K, Friborg, T, Ohmura, A, Edgar, CW, Olofsson, J & Chambers, SD 2022, 'Vegetation type is an important predictor of the arctic summer land surface energy budget', Nature Communications, vol. 13, no. 1, 6379. https://doi.org/10.1038/s41467-022-34049-3

TY - JOUR

T1 - Vegetation type is an important predictor of the arctic summer land surface energy budget

AU - Oehri, Jacqueline

AU - Schaepman-Strub, Gabriela

AU - Kim, Jin Soo

AU - Grysko, Raleigh

AU - Kropp, Heather

AU - Grünberg, Inge

AU - Zemlianskii, Vitalii

AU - Sonnentag, Oliver

AU - Euskirchen, Eugénie S.

AU - Reji Chacko, Merin

AU - Muscari, Giovanni

AU - Blanken, Peter D.

AU - Dean, Joshua F.

AU - di Sarra, Alcide

AU - Harding, Richard J.

AU - Sobota, Ireneusz

AU - Kutzbach, Lars

AU - Plekhanova, Elena

AU - Riihelä, Aku

AU - Boike, Julia

AU - Miller, Nathaniel B.

AU - Beringer, Jason

AU - López-Blanco, Efrén

AU - Stoy, Paul C.

AU - Sullivan, Ryan C.

AU - Kejna, Marek

AU - Parmentier, Frans Jan W.

AU - Gamon, John A.

AU - Mastepanov, Mikhail

AU - Wille, Christian

AU - Jackowicz-Korczynski, Marcin

AU - Karger, Dirk N.

AU - Quinton, William L.

AU - Putkonen, Jaakko

AU - van As, Dirk

AU - Christensen, Torben R.

AU - Hakuba, Maria Z.

AU - Stone, Robert S.

AU - Metzger, Stefan

AU - Vandecrux, Baptiste

AU - Frost, Gerald V.

AU - Wild, Martin

AU - Hansen, Birger

AU - Meloni, Daniela

AU - Domine, Florent

AU - te Beest, Mariska

AU - Sachs, Torsten

AU - Kalhori, Aram

AU - Rocha, Adrian V.

AU - Williamson, Scott N.

AU - Morris, Sara

AU - Atchley, Adam L.

AU - Essery, Richard

AU - Runkle, Benjamin R.K.

AU - Holl, David

AU - Riihimaki, Laura D.

AU - Iwata, Hiroki

AU - Schuur, Edward A.G.

AU - Cox, Christopher J.

AU - Grachev, Andrey A.

AU - McFadden, Joseph P.

AU - Fausto, Robert S.

AU - Göckede, Mathias

AU - Ueyama, Masahito

AU - Pirk, Norbert

AU - de Boer, Gijs

AU - Bret-Harte, M. Syndonia

AU - Leppäranta, Matti

AU - Steffen, Konrad

AU - Friborg, Thomas

AU - Ohmura, Atsumu

AU - Edgar, Colin W.

AU - Olofsson, Johan

AU - Chambers, Scott D.

PY - 2022/12

Y1 - 2022/12

N2 - Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.

AB - Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.

UR - http://www.scopus.com/inward/record.url?scp=85140941186&partnerID=8YFLogxK

U2 - 10.1038/s41467-022-34049-3

DO - 10.1038/s41467-022-34049-3

M3 - Journal article

C2 - 36316310

AN - SCOPUS:85140941186

SN - 2041-1723

VL - 13

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 6379

ER -

Vegetation type is an important predictor of the arctic summer land surface energy budget

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