Search

Your search keyword '"Wohlfahrt, G"' showing total 427 results
Start Over Author "Wohlfahrt, G"
427 results on '"Wohlfahrt, G"'

3. FluXNET-CH4 synthesis activity objectives, observations, and future directions

Author

Knox, SH, Jackson, RB, Poulter, B, McNicol, G, Fluet-Chouinard, E, Zhang, Z, Hugelius, G, Bousquet, P, Canadell, JG, Saunois, M, Papale, D, Chu, H, Keenan, TF, Baldocchi, D, Torn, MS, Mammarella, I, Trotta, C, Aurela, M, Bohrer, G, Campbell, DI, Cescatti, A, Chamberlain, S, Chen, J, Chen, W, Dengel, S, Desai, AR, Euskirchen, E, Friborg, T, Gasbarra, D, Goded, I, Goeckede, M, Heimann, M, Helbig, M, Hirano, T, Hollinger, DY, Iwata, H, Kang, M, Klatt, J, Krauss, KW, Kutzbach, L, Lohila, A, Mitra, B, Morin, TH, Nilsson, MB, Niu, S, Noormets, A, Oechel, WC, Peichl, M, Peltola, O, Reba, ML, Richardson, AD, Runkle, BRK, Ryu, Y, Sachs, T, Schäfer, KVR, Schmid, HP, Shurpali, N, Sonnentag, O, Tang, ACI, Ueyama, M, Vargas, R, Vesala, T, Ward, EJ, Windham-Myers, L, Wohlfahrt, G, and Zona, D

Subjects
Meteorology & Atmospheric Sciences, Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience
Abstract

We describe a new coordination activity and initial results for a global synthesis of eddy covariance CH4 flux measurements.

Published
2019

4. Reviews and syntheses: Carbonyl sulfide as a multi-scale tracer for carbon and water cycles

Author

Whelan, ME, Lennartz, ST, Gimeno, TE, Wehr, R, Wohlfahrt, G, Wang, Y, Kooijmans, LMJ, Hilton, TW, Belviso, S, Peylin, P, Commane, R, Sun, W, Chen, H, Kuai, L, Mammarella, I, Maseyk, K, Berkelhammer, M, Li, KF, Yakir, D, Zumkehr, A, Katayama, Y, Oge, J, Spielmann, FM, Kitz, F, Rastogi, B, Kesselmeier, J, Marshall, J, Erkkila, KM, Wingate, L, Meredith, LK, He, W, Bunk, R, Launois, T, Vesala, T, Schmidt, JA, Fichot, CG, Seibt, U, Saleska, S, Saltzman, ES, Montzka, SA, Berry, JA, and Elliott Campbell, J

Subjects
Meteorology & Atmospheric Sciences, Earth Sciences, Environmental Sciences, Biological Sciences
Abstract

For the past decade, observations of carbonyl sulfide (OCS or COS) have been investigated as a proxy for carbon uptake by plants. OCS is destroyed by enzymes that interact with CO2 during photosynthesis, namely carbonic anhydrase (CA) and RuBisCO, where CA is the more important one. The majority of sources of OCS to the atmosphere are geographically separated from this large plant sink, whereas the sources and sinks of CO2 are co-located in ecosystems. The drawdown of OCS can therefore be related to the uptake of CO2 without the added complication of co-located emissions comparable in magnitude. Here we review the state of our understanding of the global OCS cycle and its applications to ecosystem carbon cycle science. OCS uptake is correlated well to plant carbon uptake, especially at the regional scale. OCS can be used in conjunction with other independent measures of ecosystem function, like solar-induced fluorescence and carbon and water isotope studies. More work needs to be done to generate global coverage for OCS observations and to link this powerful atmospheric tracer to systems where fundamental questions concerning the carbon and water cycle remain.

Published
2018

5. Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll

Author

Zhang, Y, Xiao, X, Wolf, S, Wu, J, Wu, X, Gioli, B, Wohlfahrt, G, Cescatti, A, van der Tol, C, Zhou, S, Gough, CM, Gentine, P, Steinbrecher, R, and Ardö, J

Subjects
MD Multidisciplinary, Meteorology & Atmospheric Sciences
Abstract

Light-use efficiency (LUE), which quantifies the plants' efficiency in utilizing solar radiation for photosynthetic carbon fixation, is an important factor for gross primary production estimation. Here we use satellite-based solar-induced chlorophyll fluorescence as a proxy for photosynthetically active radiation absorbed by chlorophyll (APARchl) and derive an estimation of the fraction of APARchl (fPARchl) from four remotely sensed vegetation indicators. By comparing maximum LUE estimated at different scales from 127 eddy flux sites, we found that the maximum daily LUE based on PAR absorption by canopy chlorophyll (εchlmax), unlike other expressions of LUE, tends to converge across biome types. The photosynthetic seasonality in tropical forests can also be tracked by the change of fPARchl, suggesting the corresponding (εchlmax) to have less seasonal variation. This spatio-temporal convergence of LUE derived from fPARchl can be used to build simple but robust gross primary production models and to better constrain process-based models.

Published
2018

6. Global surface net-radiation at 5 km from MODIS Terra

Author

Verma, M, Fisher, JB, Mallick, K, Ryu, Y, Kobayashi, H, Guillaume, A, Moore, G, Ramakrishnan, L, Hendrix, V, Wolf, S, Sikka, M, Kiely, G, Wohlfahrt, G, Gielen, B, Roupsard, O, Toscano, P, Arain, A, and Cescatti, A

Subjects
Physical Geography and Environmental Geoscience, Geomatic Engineering, Classical Physics
Abstract

Reliable and fine resolution estimates of surface net-radiation are required for estimating latent and sensible heat fluxes between the land surface and the atmosphere. However, currently, fine resolution estimates of net-radiation are not available and consequently it is challenging to develop multi-year estimates of evapotranspiration at scales that can capture land surface heterogeneity and are relevant for policy and decision-making. We developed and evaluated a global net-radiation product at 5 km and 8-day resolution by combining mutually consistent atmosphere and land data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board Terra. Comparison with net-radiation measurements from 154 globally distributed sites (414 site-years) from the FLUXNET and Surface Radiation budget network (SURFRAD) showed that the net-radiation product agreed well with measurements across seasons and climate types in the extratropics (Wilmott's index ranged from 0.74 for boreal to 0.63 for Mediterranean sites). Mean absolute deviation between the MODIS and measured net-radiation ranged from 38.0 ± 1.8 W.m-2 in boreal to 72.0 ± 4.1 W.m-2 in the tropical climates. The mean bias was small and constituted only 11%, 0.7%, 8.4%, 4.2%, 13.3%, and 5.4% of the mean absolute error in daytime net-radiation in boreal, Mediterranean, temperate-continental, temperate, semi-arid, and tropical climate, respectively. To assess the accuracy of the broader spatiotemporal patterns, we upscaled error-quantified MODIS net-radiation and compared it with the net-radiation estimates from the coarse spatial (1° x 1°) but high temporal resolution gridded net-radiation product from the Clouds and Earth's Radiant Energy System (CERES). Our estimates agreed closely with the net-radiation estimates from the CERES. Difference between the two was less than 10W.m-22 in 94% of the total land area. MODIS net-radiation product will be a valuable resource for the science community studying turbulent fluxes and energy budget at the Earth's surface.

Published
2016

7. An ecosystem-scale perspective of the net land methanol flux: synthesis of micrometeorological flux measurements

Author

Wohlfahrt, G, Amelynck, C, Ammann, C, Arneth, A, Bamberger, I, Goldstein, AH, Gu, L, Guenther, A, Hansel, A, Heinesch, B, Holst, T, Hörtnagl, L, Karl, T, Laffineur, Q, Neftel, A, McKinney, K, Munger, JW, Pallardy, SG, Schade, GW, Seco, R, and Schoon, N

Subjects
Life on Land, Astronomical and Space Sciences, Atmospheric Sciences, Meteorology & Atmospheric Sciences
Abstract

Methanol is the second most abundant volatile organic compound in the troposphere and plays a significant role in atmospheric chemistry. While there is consensus about the dominant role of living plants as the major source and the reaction with OH as the major sink of methanol, global methanol budgets diverge considerably in terms of source/sink estimates reflecting uncertainties in the approaches used to model, and the empirical data used to separately constrain these terms. Here we compiled micrometeorological methanol flux data from eight different study sites and reviewed the corresponding literature in order to provide a first cross-site synthesis of the terrestrial ecosystem-scale methanol exchange and present an independent data-driven view of the land-atmosphere methanol exchange. Our study shows that the controls of plant growth on the production, and thus the methanol emission magnitude, and stomatal conductance on the hourly methanol emission variability, established at the leaf level, hold across sites at the ecosystem-level. Unequivocal evidence for bi-directional methanol exchange at the ecosystem scale is presented. Deposition, which at some sites even exceeds methanol emissions, represents an emerging feature of ecosystem-scale measurements and is likely related to environmental factors favouring the formation of surface wetness. Methanol may adsorb to or dissolve in this surface water and eventually be chemically or biologically removed from it. Management activities in agriculture and forestry are shown to increase local methanol emission by orders of magnitude; they are however neglected at present in global budgets. While contemporary net land methanol budgets are overall consistent with the grand mean of the micrometeorological methanol flux measurements, we caution that the present approach of simulating methanol emission and deposition separately is prone to opposing systematic errors and does not allow taking full advantage of the rich information content of micrometeorological flux measurements.

Published
2015

10. Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production

Author

Martini, D, Sakowska, K, Wohlfahrt, G, Pacheco-Labrador, J, van der Tol, C, Porcar-Castell, A, Magney, T, Carrara, A, Colombo, R, El-Madany, T, Gonzalez-Cascon, R, Martin, M, Julitta, T, Moreno, G, Rascher, U, Reichstein, M, Rossini, M, Migliavacca, M, Martini D., Sakowska K., Wohlfahrt G., Pacheco-Labrador J., van der Tol C., Porcar-Castell A., Magney T. S., Carrara A., Colombo R., El-Madany T. S., Gonzalez-Cascon R., Martin M. P., Julitta T., Moreno G., Rascher U., Reichstein M., Rossini M., Migliavacca M., Martini, D, Sakowska, K, Wohlfahrt, G, Pacheco-Labrador, J, van der Tol, C, Porcar-Castell, A, Magney, T, Carrara, A, Colombo, R, El-Madany, T, Gonzalez-Cascon, R, Martin, M, Julitta, T, Moreno, G, Rascher, U, Reichstein, M, Rossini, M, Migliavacca, M, Martini D., Sakowska K., Wohlfahrt G., Pacheco-Labrador J., van der Tol C., Porcar-Castell A., Magney T. S., Carrara A., Colombo R., El-Madany T. S., Gonzalez-Cascon R., Martin M. P., Julitta T., Moreno G., Rascher U., Reichstein M., Rossini M., and Migliavacca M.

Abstract

Sun-induced fluorescence in the far-red region (SIF) is increasingly used as a remote and proximal-sensing tool capable of tracking vegetation gross primary production (GPP). However, the use of SIF to probe changes in GPP is challenged during extreme climatic events, such as heatwaves. Here, we examined how the 2018 European heatwave (HW) affected the GPP–SIF relationship in evergreen broadleaved trees with a relatively invariant canopy structure. To do so, we combined canopy-scale SIF measurements, GPP estimated from an eddy covariance tower, and active pulse amplitude modulation fluorescence. The HW caused an inversion of the photosynthesis–fluorescence relationship at both the canopy and leaf scales. The highly nonlinear relationship was strongly shaped by nonphotochemical quenching (NPQ), that is, a dissipation mechanism to protect from the adverse effects of high light intensity. During the extreme heat stress, plants experienced a saturation of NPQ, causing a change in the allocation of energy dissipation pathways towards SIF. Our results show the complex modulation of the NPQ–SIF–GPP relationship at an extreme level of heat stress, which is not completely represented in state-of-the-art coupled radiative transfer and photosynthesis models.

Published
2022

11. The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation

Author

Zhang, W, Zhang, W, Jung, M, Migliavacca, M, Poyatos, R, Miralles, DG, El-Madany, TS, Galvagno, M, Carrara, A, Arriga, N, Ibrom, A, Mammarella, I, Papale, D, Cleverly, JR, Liddell, M, Wohlfahrt, G, Markwitz, C, Mauder, M, Paul-Limoges, E, Schmidt, M, Wolf, S, Brümmer, C, Arain, MA, Fares, S, Kato, T, Ardö, J, Oechel, W, Hanson, C, Korkiakoski, M, Biraud, S, Steinbrecher, R, Billesbach, D, Montagnani, L, Woodgate, W, Shao, C, Carvalhais, N, Reichstein, M, Nelson, JA, Zhang, W, Zhang, W, Jung, M, Migliavacca, M, Poyatos, R, Miralles, DG, El-Madany, TS, Galvagno, M, Carrara, A, Arriga, N, Ibrom, A, Mammarella, I, Papale, D, Cleverly, JR, Liddell, M, Wohlfahrt, G, Markwitz, C, Mauder, M, Paul-Limoges, E, Schmidt, M, Wolf, S, Brümmer, C, Arain, MA, Fares, S, Kato, T, Ardö, J, Oechel, W, Hanson, C, Korkiakoski, M, Biraud, S, Steinbrecher, R, Billesbach, D, Montagnani, L, Woodgate, W, Shao, C, Carvalhais, N, Reichstein, M, and Nelson, JA

Abstract

While the eddy covariance (EC) technique is a well-established method for measuring water fluxes (i.e., evaporation or 'evapotranspiration’, ET), the measurement is susceptible to many uncertainties. One such issue is the potential underestimation of ET when relative humidity (RH) is high (>70%), due to low-pass filtering with some EC systems. Yet, this underestimation for different types of EC systems (e.g. open-path or closed-path sensors) has not been characterized for synthesis datasets such as the widely used FLUXNET2015 dataset. Here, we assess the RH-associated underestimation of latent heat fluxes (LE, or ET) from different EC systems for 163 sites in the FLUXNET2015 dataset. We found that the LE underestimation is most apparent during hours when RH is higher than 70%, predominantly observed at sites using closed-path EC systems, but the extent of the LE underestimation is highly site-specific. We then propose a machine learning based method to correct for this underestimation, and compare it to two energy balance closure based LE correction approaches (Bowen ratio correction, BRC, and attributing all errors to LE). Our correction increases LE by 189% for closed-path sites at high RH (>90%), while BRC increases LE by around 30% for all RH conditions. Additionally, we assess the influence of these corrections on ET-based transpiration (T) estimates using two different ET partitioning methods. Results show opposite responses (increasing vs. slightly decreasing T-to-ET ratios, T/ET) between the two methods when comparing T based on corrected and uncorrected LE. Overall, our results demonstrate the existence of a high RH bias in water fluxes in the FLUXNET2015 dataset and suggest that this bias is a pronounced source of uncertainty in ET measurements to be considered when estimating ecosystem T/ET and WUE.

Published
2023

12. Dataset for 'Joint optimization of land carbon uptake and albedo can help achieve moderate instantaneous and long-term cooling effects'

Author

Graf, A., Musavi, T., Wohlfahrt, G., Aranda-Barranco, S., Arriga, N., Brümmer, C., Ceschia, E., Desai, A.R., Di Lonardo, S., Gharun, M., Grünwald, T., Hörtnagl, L., Kasak, K., Klosterhalfen, A., Knohl, A., Kowalska, N., Lindroth, A., Mauder, M., Migliavacca, M., Rebmann, Corinna, Schmidt, M., Šigut, L., Tomelleri, E., Varlagin, A., Graf, A., Musavi, T., Wohlfahrt, G., Aranda-Barranco, S., Arriga, N., Brümmer, C., Ceschia, E., Desai, A.R., Di Lonardo, S., Gharun, M., Grünwald, T., Hörtnagl, L., Kasak, K., Klosterhalfen, A., Knohl, A., Kowalska, N., Lindroth, A., Mauder, M., Migliavacca, M., Rebmann, Corinna, Schmidt, M., Šigut, L., Tomelleri, E., and Varlagin, A.

Abstract

Both carbon dioxide uptake and albedo of the land surface affect global climate. However, climate change mitigation by increasing carbon uptake can cause a warming trade-off by decreasing albedo, with most research focusing on afforestation and its interaction with snow. Here, we present carbon uptake and albedo observations from 176 globally distributed flux stations. We demonstrate a gradual decline in maximum achievable annual albedo as carbon uptake increases, even within subgroups of non-forest and snow-free ecosystems. Based on a paired-site permutation approach, we quantify the likely impact of land use on carbon uptake and albedo. Shifting to the maximum attainable carbon uptake at each site would likely cause moderate net global warming for the first approximately 20 years, followed by a strong cooling effect. A balanced policy co-optimizing carbon uptake and albedo is possible that avoids warming on any timescale, but results in a weaker long-term cooling effect.

Published
2023

13. Joint optimization of land carbon uptake and albedo can help achieve moderate instantaneous and long-term cooling effects

Author

Graf, A., Wohlfahrt, G., Aranda-Barranco, S., Arriga, N., Brümmer, C., Ceschia, E., Ciais, P., Desai, A.R., Di Lonardo, S., Gharun, M., Grünwald, T., Hörtnagl, L., Kasak, K., Klosterhalfen, A., Knohl, A., Kowalska, N., Leuchner, M., Lindroth, A., Mauder, M., Migliavacca, M., Morel, A.C., Pfennig, A., Poorter, H., Poppe Terán, C., Reitz, O., Rebmann, Corinna, Sanchez-Azofeifa, A., Schmidt, M., Šigut, L., Tomelleri, E., Yu, K., Varlagin, A., Vereecken, H., Graf, A., Wohlfahrt, G., Aranda-Barranco, S., Arriga, N., Brümmer, C., Ceschia, E., Ciais, P., Desai, A.R., Di Lonardo, S., Gharun, M., Grünwald, T., Hörtnagl, L., Kasak, K., Klosterhalfen, A., Knohl, A., Kowalska, N., Leuchner, M., Lindroth, A., Mauder, M., Migliavacca, M., Morel, A.C., Pfennig, A., Poorter, H., Poppe Terán, C., Reitz, O., Rebmann, Corinna, Sanchez-Azofeifa, A., Schmidt, M., Šigut, L., Tomelleri, E., Yu, K., Varlagin, A., and Vereecken, H.

Abstract

Both carbon dioxide uptake and albedo of the land surface affect global climate. However, climate change mitigation by increasing carbon uptake can cause a warming trade-off by decreasing albedo, with most research focusing on afforestation and its interaction with snow. Here, we present carbon uptake and albedo observations from 176 globally distributed flux stations. We demonstrate a gradual decline in maximum achievable annual albedo as carbon uptake increases, even within subgroups of non-forest and snow-free ecosystems. Based on a paired-site permutation approach, we quantify the likely impact of land use on carbon uptake and albedo. Shifting to the maximum attainable carbon uptake at each site would likely cause moderate net global warming for the first approximately 20 years, followed by a strong cooling effect. A balanced policy co-optimizing carbon uptake and albedo is possible that avoids warming on any timescale, but results in a weaker long-term cooling effect.

Published
2023

15. The three major axes of terrestrial ecosystem function

Author

Migliavacca, M, Musavi, T, Mahecha, M, Nelson, J, Knauer, J, Baldocchi, D, Perez-Priego, O, Christiansen, R, Peters, J, Anderson, K, Bahn, M, Black, T, Blanken, P, Bonal, D, Buchmann, N, Caldararu, S, Carrara, A, Carvalhais, N, Cescatti, A, Chen, J, Cleverly, J, Cremonese, E, Desai, A, El-Madany, T, Farella, M, Fernandez-Martinez, M, Filippa, G, Forkel, M, Galvagno, M, Gomarasca, U, Gough, C, Gockede, M, Ibrom, A, Ikawa, H, Janssens, I, Jung, M, Kattge, J, Keenan, T, Knohl, A, Kobayashi, H, Kraemer, G, Law, B, Liddell, M, Ma, X, Mammarella, I, Martini, D, Macfarlane, C, Matteucci, G, Montagnani, L, Pabon-Moreno, D, Panigada, C, Papale, D, Pendall, E, Penuelas, J, Phillips, R, Reich, P, Rossini, M, Rotenberg, E, Scott, R, Stahl, C, Weber, U, Wohlfahrt, G, Wolf, S, Wright, I, Yakir, D, Zaehle, S, Reichstein, M, Migliavacca M., Musavi T., Mahecha M. D., Nelson J. A., Knauer J., Baldocchi D. D., Perez-Priego O., Christiansen R., Peters J., Anderson K., Bahn M., Black T. A., Blanken P. D., Bonal D., Buchmann N., Caldararu S., Carrara A., Carvalhais N., Cescatti A., Chen J., Cleverly J., Cremonese E., Desai A. R., El-Madany T. S., Farella M. M., Fernandez-Martinez M., Filippa G., Forkel M., Galvagno M., Gomarasca U., Gough C. M., Gockede M., Ibrom A., Ikawa H., Janssens I. A., Jung M., Kattge J., Keenan T. F., Knohl A., Kobayashi H., Kraemer G., Law B. E., Liddell M. J., Ma X., Mammarella I., Martini D., Macfarlane C., Matteucci G., Montagnani L., Pabon-Moreno D. E., Panigada C., Papale D., Pendall E., Penuelas J., Phillips R. P., Reich P. B., Rossini M., Rotenberg E., Scott R. L., Stahl C., Weber U., Wohlfahrt G., Wolf S., Wright I. J., Yakir D., Zaehle S., Reichstein M., Migliavacca, M, Musavi, T, Mahecha, M, Nelson, J, Knauer, J, Baldocchi, D, Perez-Priego, O, Christiansen, R, Peters, J, Anderson, K, Bahn, M, Black, T, Blanken, P, Bonal, D, Buchmann, N, Caldararu, S, Carrara, A, Carvalhais, N, Cescatti, A, Chen, J, Cleverly, J, Cremonese, E, Desai, A, El-Madany, T, Farella, M, Fernandez-Martinez, M, Filippa, G, Forkel, M, Galvagno, M, Gomarasca, U, Gough, C, Gockede, M, Ibrom, A, Ikawa, H, Janssens, I, Jung, M, Kattge, J, Keenan, T, Knohl, A, Kobayashi, H, Kraemer, G, Law, B, Liddell, M, Ma, X, Mammarella, I, Martini, D, Macfarlane, C, Matteucci, G, Montagnani, L, Pabon-Moreno, D, Panigada, C, Papale, D, Pendall, E, Penuelas, J, Phillips, R, Reich, P, Rossini, M, Rotenberg, E, Scott, R, Stahl, C, Weber, U, Wohlfahrt, G, Wolf, S, Wright, I, Yakir, D, Zaehle, S, Reichstein, M, Migliavacca M., Musavi T., Mahecha M. D., Nelson J. A., Knauer J., Baldocchi D. D., Perez-Priego O., Christiansen R., Peters J., Anderson K., Bahn M., Black T. A., Blanken P. D., Bonal D., Buchmann N., Caldararu S., Carrara A., Carvalhais N., Cescatti A., Chen J., Cleverly J., Cremonese E., Desai A. R., El-Madany T. S., Farella M. M., Fernandez-Martinez M., Filippa G., Forkel M., Galvagno M., Gomarasca U., Gough C. M., Gockede M., Ibrom A., Ikawa H., Janssens I. A., Jung M., Kattge J., Keenan T. F., Knohl A., Kobayashi H., Kraemer G., Law B. E., Liddell M. J., Ma X., Mammarella I., Martini D., Macfarlane C., Matteucci G., Montagnani L., Pabon-Moreno D. E., Panigada C., Papale D., Pendall E., Penuelas J., Phillips R. P., Reich P. B., Rossini M., Rotenberg E., Scott R. L., Stahl C., Weber U., Wohlfahrt G., Wolf S., Wright I. J., Yakir D., Zaehle S., and Reichstein M.

Abstract

The leaf economics spectrum and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability. Here we derive a set of ecosystem functions from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems.

Published
2021

17. Global maps of soil temperature

Author

Lembrechts, J. J. (Jonas J.), van den Hoogen, J. (Johan), Aalto, J. (Juha), Ashcroft, M. B. (Michael B.), De Frenne, P. (Pieter), Kemppinen, J. (Julia), Kopecky, M. (Martin), Luoto, M. (Miska), Maclean, I. M. (Ilya M. D.), Crowther, T. W. (Thomas W.), Bailey, J. J. (Joseph J.), Haesen, S. (Stef), Klinges, D. H. (David H.), Niittynen, P. (Pekka), Scheffers, B. R. (Brett R.), Van Meerbeek, K. (Koenraad), Aartsma, P. (Peter), Abdalaze, O. (Otar), Abedi, M. (Mehdi), Aerts, R. (Rien), Ahmadian, N. (Negar), Ahrends, A. (Antje), Alatalo, J. M. (Juha M.), Alexander, J. M. (Jake M.), Allonsius, C. N. (Camille Nina), Altman, J. (Jan), Ammann, C. (Christof), Andres, C. (Christian), Andrews, C. (Christopher), Ardo, J. (Jonas), Arriga, N. (Nicola), Arzac, A. (Alberto), Aschero, V. (Valeria), Assis, R. L. (Rafael L.), Assmann, J. J. (Jakob Johann), Bader, M. Y. (Maaike Y.), Bahalkeh, K. (Khadijeh), Barancok, P. (Peter), Barrio, I. C. (Isabel C.), Barros, A. (Agustina), Barthel, M. (Matti), Basham, E. W. (Edmund W.), Bauters, M. (Marijn), Bazzichetto, M. (Manuele), Marchesini, L. B. (Luca Belelli), Bell, M. C. (Michael C.), Benavides, J. C. (Juan C.), Benito Alonso, J. L. (Jose Luis), Berauer, B. J. (Bernd J.), Bjerke, J. W. (Jarle W.), Bjork, R. G. (Robert G.), Bjorkman, M. P. (Mats P.), Bjornsdottir, K. (Katrin), Blonder, B. (Benjamin), Boeckx, P. (Pascal), Boike, J. (Julia), Bokhorst, S. (Stef), Brum, B. N. (Barbara N. S.), Bruna, J. (Josef), Buchmann, N. (Nina), Buysse, P. (Pauline), Camargo, J. L. (Jose Luis), Campoe, O. C. (Otavio C.), Candan, O. (Onur), Canessa, R. (Rafaella), Cannone, N. (Nicoletta), Carbognani, M. (Michele), Carnicer, J. (Jofre), Casanova-Katny, A. (Angelica), Cesarz, S. (Simone), Chojnicki, B. (Bogdan), Choler, P. (Philippe), Chown, S. L. (Steven L.), Cifuentes, E. F. (Edgar F.), Ciliak, M. (Marek), Contador, T. (Tamara), Convey, P. (Peter), Cooper, E. J. (Elisabeth J.), Cremonese, E. (Edoardo), Curasi, S. R. (Salvatore R.), Curtis, R. (Robin), Cutini, M. (Maurizio), Dahlberg, C. J. (C. Johan), Daskalova, G. N. (Gergana N.), Angel de Pablo, M. (Miguel), Della Chiesa, S. (Stefano), Dengler, J. (Juergen), Deronde, B. (Bart), Descombes, P. (Patrice), Di Cecco, V. (Valter), Di Musciano, M. (Michele), Dick, J. (Jan), Dimarco, R. D. (Romina D.), Dolezal, J. (Jiri), Dorrepaal, E. (Ellen), Dusek, J. (Jiri), Eisenhauer, N. (Nico), Eklundh, L. (Lars), Erickson, T. E. (Todd E.), Erschbamer, B. (Brigitta), Eugster, W. (Werner), Ewers, R. M. (Robert M.), Exton, D. A. (Dan A.), Fanin, N. (Nicolas), Fazlioglu, F. (Fatih), Feigenwinter, I. (Iris), Fenu, G. (Giuseppe), Ferlian, O. (Olga), Fernandez Calzado, M. R. (M. Rosa), Fernandez-Pascual, E. (Eduardo), Finckh, M. (Manfred), Higgens, R. F. (Rebecca Finger), Forte, T. G. (T'ai G. W.), Freeman, E. C. (Erika C.), Frei, E. R. (Esther R.), Fuentes-Lillo, E. (Eduardo), Garcia, R. A. (Rafael A.), Garcia, M. B. (Maria B.), Geron, C. (Charly), Gharun, M. (Mana), Ghosn, D. (Dany), Gigauri, K. (Khatuna), Gobin, A. (Anne), Goded, I. (Ignacio), Goeckede, M. (Mathias), Gottschall, F. (Felix), Goulding, K. (Keith), Govaert, S. (Sanne), Graae, B. J. (Bente Jessen), Greenwood, S. (Sarah), Greiser, C. (Caroline), Grelle, A. (Achim), Guenard, B. (Benoit), Guglielmin, M. (Mauro), Guillemot, J. (Joannes), Haase, P. (Peter), Haider, S. (Sylvia), Halbritter, A. H. (Aud H.), Hamid, M. (Maroof), Hammerle, A. (Albin), Hampe, A. (Arndt), Haugum, S. V. (Siri, V), Hederova, L. (Lucia), Heinesch, B. (Bernard), Helfter, C. (Carole), Hepenstrick, D. (Daniel), Herberich, M. (Maximiliane), Herbst, M. (Mathias), Hermanutz, L. (Luise), Hik, D. S. (David S.), Hoffren, R. (Raul), Homeier, J. (Juergen), Hörtnagl, L. (Lukas), Hoye, T. T. (Toke T.), Hrbacek, F. (Filip), Hylander, K. (Kristoffer), Iwata, H. (Hiroki), Jackowicz-Korczynski, M. A. (Marcin Antoni), Jactel, H. (Herve), Jarveoja, J. (Jarvi), Jastrzebowski, S. (Szymon), Jentsch, A. (Anke), Jimenez, J. J. (Juan J.), Jonsdottir, I. S. (Ingibjorg S.), Jucker, T. (Tommaso), Jump, A. S. (Alistair S.), Juszczak, R. (Radoslaw), Kanka, R. (Robert), Kaspar, V. (Vit), Kazakis, G. (George), Kelly, J. (Julia), Khuroo, A. A. (Anzar A.), Klemedtsson, L. (Leif), Klisz, M. (Marcin), Kljun, N. (Natascha), Knohl, A. (Alexander), Kobler, J. (Johannes), Kollar, J. (Jozef), Kotowska, M. M. (Martyna M.), Kovacs, B. (Bence), Kreyling, J. (Juergen), Lamprecht, A. (Andrea), Lang, S. I. (Simone, I), Larson, C. (Christian), Larson, K. (Keith), Laska, K. (Kamil), Maire, G. I. (Guerric Ie), Leihy, R. I. (Rachel, I), Lens, L. (Luc), Liljebladh, B. (Bengt), Lohila, A. (Annalea), Lorite, J. (Juan), Loubet, B. (Benjamin), Lynn, J. (Joshua), Macek, M. (Martin), Mackenzie, R. (Roy), Magliulo, E. (Enzo), Maier, R. (Regine), Malfasi, F. (Francesco), Malis, F. (Frantisek), Man, M. (Matej), Manca, G. (Giovanni), Manco, A. (Antonio), Manise, T. (Tanguy), Manolaki, P. (Paraskevi), Marciniak, F. (Felipe), Matula, R. (Radim), Clara Mazzolari, A. (Ana), Medinets, S. (Sergiy), Medinets, V. (Volodymyr), Meeussen, C. (Camille), Merinero, S. (Sonia), Guimaraes Mesquita, R. d. (Rita de Cassia), Meusburger, K. (Katrin), Meysman, F. J. (Filip J. R.), Michaletz, S. T. (Sean T.), Milbau, A. (Ann), Moiseev, D. (Dmitry), Moiseev, P. (Pavel), Mondoni, A. (Andrea), Monfries, R. (Ruth), Montagnani, L. (Leonardo), Moriana-Armendariz, M. (Mikel), di Cella, U. M. (Umberto Morra), Moersdorf, M. (Martin), Mosedale, J. R. (Jonathan R.), Muffler, L. (Lena), Munoz-Rojas, M. (Miriam), Myers, J. A. (Jonathan A.), Myers-Smith, I. H. (Isla H.), Nagy, L. (Laszlo), Nardino, M. (Marianna), Naujokaitis-Lewis, I. (Ilona), Newling, E. (Emily), Nicklas, L. (Lena), Niedrist, G. (Georg), Niessner, A. (Armin), Nilsson, M. B. (Mats B.), Normand, S. (Signe), Nosetto, M. D. (Marcelo D.), Nouvellon, Y. (Yann), Nunez, M. A. (Martin A.), Ogaya, R. (Roma), Ogee, J. (Jerome), Okello, J. (Joseph), Olejnik, J. (Janusz), Olesen, J. E. (Jorgen Eivind), Opedal, O. H. (Oystein H.), Orsenigo, S. (Simone), Palaj, A. (Andrej), Pampuch, T. (Timo), Panov, A. V. (Alexey V.), Pärtel, M. (Meelis), Pastor, A. (Ada), Pauchard, A. (Aníbal), Pauli, H. (Harald), Pavelka, M. (Marian), Pearse, W. D. (William D.), Peichl, M. (Matthias), Pellissier, L. (Loïc), Penczykowski, R. M. (Rachel M.), Penuelas, J. (Josep), Petit Bon, M. (Matteo), Petraglia, A. (Alessandro), Phartyal, S. S. (Shyam S.), Phoenix, G. K. (Gareth K.), Pio, C. (Casimiro), Pitacco, A. (Andrea), Pitteloud, C. (Camille), Plichta, R. (Roman), Porro, F. (Francesco), Portillo-Estrada, M. (Miguel), Poulenard, J. (Jérôme), Poyatos, R. (Rafael), Prokushkin, A. S. (Anatoly S.), Puchalka, R. (Radoslaw), Pușcaș, M. (Mihai), Radujković, D. (Dajana), Randall, K. (Krystal), Ratier Backes, A. (Amanda), Remmele, S. (Sabine), Remmers, W. (Wolfram), Renault, D. (David), Risch, A. C. (Anita C.), Rixen, C. (Christian), Robinson, S. A. (Sharon A.), Robroek, B. J. (Bjorn J. M.), Rocha, A. V. (Adrian V.), Rossi, C. (Christian), Rossi, G. (Graziano), Roupsard, O. (Olivier), Rubtsov, A. V. (Alexey V.), Saccone, P. (Patrick), Sagot, C. (Clotilde), Sallo Bravo, J. (Jhonatan), Santos, C. C. (Cinthya C.), Sarneel, J. M. (Judith M.), Scharnweber, T. (Tobias), Schmeddes, J. (Jonas), Schmidt, M. (Marius), Scholten, T. (Thomas), Schuchardt, M. (Max), Schwartz, N. (Naomi), Scott, T. (Tony), Seeber, J. (Julia), Segalin De Andrade, A. C. (Ana Cristina), Seipel, T. (Tim), Semenchuk, P. (Philipp), Senior, R. A. (Rebecca A.), Serra-Diaz, J. M. (Josep M.), Sewerniak, P. (Piotr), Shekhar, A. (Ankit), Sidenko, N. V. (Nikita V.), Siebicke, L. (Lukas), Siegwart Collier, L. (Laura), Simpson, E. (Elizabeth), Siqueira, D. P. (David P.), Sitková, Z. (Zuzana), Six, J. (Johan), Smiljanic, M. (Marko), Smith, S. W. (Stuart W.), Smith-Tripp, S. (Sarah), Somers, B. (Ben), Sørensen, M. V. (Mia Vedel), Souza, J. J. (José João L. L.), Souza, B. I. (Bartolomeu Israel), Dias, A. S. (Arildo Souza), Spasojevic, M. J. (Marko J.), Speed, J. D. (James D. M.), Spicher, F. (Fabien), Stanisci, A. (Angela), Steinbauer, K. (Klaus), Steinbrecher, R. (Rainer), Steinwandter, M. (Michael), Stemkovski, M. (Michael), Stephan, J. G. (Jörg G.), Stiegler, C. (Christian), Stoll, S. (Stefan), Svátek, M. (Martin), Svoboda, M. (Miroslav), Tagesson, T. (Torbern), Tanentzap, A. J. (Andrew J.), Tanneberger, F. (Franziska), Theurillat, J.-P. (Jean-Paul), Thomas, H. J. (Haydn J. D.), Thomas, A. D. (Andrew D.), Tielbörger, K. (Katja), Tomaselli, M. (Marcello), Treier, U. A. (Urs Albert), Trouillier, M. (Mario), Turtureanu, P. D. (Pavel Dan), Tutton, R. (Rosamond), Tyystjärvi, V. A. (Vilna A.), Ueyama, M. (Masahito), Ujházy, K. (Karol), Ujházyová, M. (Mariana), Uogintas, D. (Domas), Urban, A. V. (Anastasiya V.), Urban, J. (Josef), Urbaniak, M. (Marek), Ursu, T.-M. (Tudor-Mihai), Vaccari, F. P. (Francesco Primo), Van De Vondel, S. (Stijn), Van Den Brink, L. (Liesbeth), Van Geel, M. (Maarten), Vandvik, V. (Vigdis), Vangansbeke, P. (Pieter), Varlagin, A. (Andrej), Veen, G. F. (G. F.), Veenendaal, E. (Elmar), Venn, S. E. (Susanna E.), Verbeeck, H. (Hans), Verbrugggen, E. (Erik), Verheijen, F. G. (Frank G. A.), Villar, L. (Luis), Vitale, L. (Luca), Vittoz, P. (Pascal), Vives-Ingla, M. (Maria), Von Oppen, J. (Jonathan), Walz, J. (Josefine), Wang, R. (Runxi), Wang, Y. (Yifeng), Way, R. G. (Robert G.), Wedegärtner, R. E. (Ronja E. M.), Weigel, R. (Robert), Wild, J. (Jan), Wilkinson, M. (Matthew), Wilmking, M. (Martin), Wingate, L. (Lisa), Winkler, M. (Manuela), Wipf, S. (Sonja), Wohlfahrt, G. (Georg), Xenakis, G. (Georgios), Yang, Y. (Yan), Yu, Z. (Zicheng), Yu, K. (Kailiang), Zellweger, F. (Florian), Zhang, J. (Jian), Zhang, Z. (Zhaochen), Zhao, P. (Peng), Ziemblińska, K. (Klaudia), Zimmermann, R. (Reiner), Zong, S. (Shengwei), Zyryanov, V. I. (Viacheslav I.), Nijs, I. (Ivan), Lenoir, J. (Jonathan), Lembrechts, J. J. (Jonas J.), van den Hoogen, J. (Johan), Aalto, J. (Juha), Ashcroft, M. B. (Michael B.), De Frenne, P. (Pieter), Kemppinen, J. (Julia), Kopecky, M. (Martin), Luoto, M. (Miska), Maclean, I. M. (Ilya M. D.), Crowther, T. W. (Thomas W.), Bailey, J. J. (Joseph J.), Haesen, S. (Stef), Klinges, D. H. (David H.), Niittynen, P. (Pekka), Scheffers, B. R. (Brett R.), Van Meerbeek, K. (Koenraad), Aartsma, P. (Peter), Abdalaze, O. (Otar), Abedi, M. (Mehdi), Aerts, R. (Rien), Ahmadian, N. (Negar), Ahrends, A. (Antje), Alatalo, J. M. (Juha M.), Alexander, J. M. (Jake M.), Allonsius, C. N. (Camille Nina), Altman, J. (Jan), Ammann, C. (Christof), Andres, C. (Christian), Andrews, C. (Christopher), Ardo, J. (Jonas), Arriga, N. (Nicola), Arzac, A. (Alberto), Aschero, V. (Valeria), Assis, R. L. (Rafael L.), Assmann, J. J. (Jakob Johann), Bader, M. Y. (Maaike Y.), Bahalkeh, K. (Khadijeh), Barancok, P. (Peter), Barrio, I. C. (Isabel C.), Barros, A. (Agustina), Barthel, M. (Matti), Basham, E. W. (Edmund W.), Bauters, M. (Marijn), Bazzichetto, M. (Manuele), Marchesini, L. B. (Luca Belelli), Bell, M. C. (Michael C.), Benavides, J. C. (Juan C.), Benito Alonso, J. L. (Jose Luis), Berauer, B. J. (Bernd J.), Bjerke, J. W. (Jarle W.), Bjork, R. G. (Robert G.), Bjorkman, M. P. (Mats P.), Bjornsdottir, K. (Katrin), Blonder, B. (Benjamin), Boeckx, P. (Pascal), Boike, J. (Julia), Bokhorst, S. (Stef), Brum, B. N. (Barbara N. S.), Bruna, J. (Josef), Buchmann, N. (Nina), Buysse, P. (Pauline), Camargo, J. L. (Jose Luis), Campoe, O. C. (Otavio C.), Candan, O. (Onur), Canessa, R. (Rafaella), Cannone, N. (Nicoletta), Carbognani, M. (Michele), Carnicer, J. (Jofre), Casanova-Katny, A. (Angelica), Cesarz, S. (Simone), Chojnicki, B. (Bogdan), Choler, P. (Philippe), Chown, S. L. (Steven L.), Cifuentes, E. F. (Edgar F.), Ciliak, M. (Marek), Contador, T. (Tamara), Convey, P. (Peter), Cooper, E. J. (Elisabeth J.), Cremonese, E. (Edoardo), Curasi, S. R. (Salvatore R.), Curtis, R. (Robin), Cutini, M. (Maurizio), Dahlberg, C. J. (C. Johan), Daskalova, G. N. (Gergana N.), Angel de Pablo, M. (Miguel), Della Chiesa, S. (Stefano), Dengler, J. (Juergen), Deronde, B. (Bart), Descombes, P. (Patrice), Di Cecco, V. (Valter), Di Musciano, M. (Michele), Dick, J. (Jan), Dimarco, R. D. (Romina D.), Dolezal, J. (Jiri), Dorrepaal, E. (Ellen), Dusek, J. (Jiri), Eisenhauer, N. (Nico), Eklundh, L. (Lars), Erickson, T. E. (Todd E.), Erschbamer, B. (Brigitta), Eugster, W. (Werner), Ewers, R. M. (Robert M.), Exton, D. A. (Dan A.), Fanin, N. (Nicolas), Fazlioglu, F. (Fatih), Feigenwinter, I. (Iris), Fenu, G. (Giuseppe), Ferlian, O. (Olga), Fernandez Calzado, M. R. (M. Rosa), Fernandez-Pascual, E. (Eduardo), Finckh, M. (Manfred), Higgens, R. F. (Rebecca Finger), Forte, T. G. (T'ai G. W.), Freeman, E. C. (Erika C.), Frei, E. R. (Esther R.), Fuentes-Lillo, E. (Eduardo), Garcia, R. A. (Rafael A.), Garcia, M. B. (Maria B.), Geron, C. (Charly), Gharun, M. (Mana), Ghosn, D. (Dany), Gigauri, K. (Khatuna), Gobin, A. (Anne), Goded, I. (Ignacio), Goeckede, M. (Mathias), Gottschall, F. (Felix), Goulding, K. (Keith), Govaert, S. (Sanne), Graae, B. J. (Bente Jessen), Greenwood, S. (Sarah), Greiser, C. (Caroline), Grelle, A. (Achim), Guenard, B. (Benoit), Guglielmin, M. (Mauro), Guillemot, J. (Joannes), Haase, P. (Peter), Haider, S. (Sylvia), Halbritter, A. H. (Aud H.), Hamid, M. (Maroof), Hammerle, A. (Albin), Hampe, A. (Arndt), Haugum, S. V. (Siri, V), Hederova, L. (Lucia), Heinesch, B. (Bernard), Helfter, C. (Carole), Hepenstrick, D. (Daniel), Herberich, M. (Maximiliane), Herbst, M. (Mathias), Hermanutz, L. (Luise), Hik, D. S. (David S.), Hoffren, R. (Raul), Homeier, J. (Juergen), Hörtnagl, L. (Lukas), Hoye, T. T. (Toke T.), Hrbacek, F. (Filip), Hylander, K. (Kristoffer), Iwata, H. (Hiroki), Jackowicz-Korczynski, M. A. (Marcin Antoni), Jactel, H. (Herve), Jarveoja, J. (Jarvi), Jastrzebowski, S. (Szymon), Jentsch, A. (Anke), Jimenez, J. J. (Juan J.), Jonsdottir, I. S. (Ingibjorg S.), Jucker, T. (Tommaso), Jump, A. S. (Alistair S.), Juszczak, R. (Radoslaw), Kanka, R. (Robert), Kaspar, V. (Vit), Kazakis, G. (George), Kelly, J. (Julia), Khuroo, A. A. (Anzar A.), Klemedtsson, L. (Leif), Klisz, M. (Marcin), Kljun, N. (Natascha), Knohl, A. (Alexander), Kobler, J. (Johannes), Kollar, J. (Jozef), Kotowska, M. M. (Martyna M.), Kovacs, B. (Bence), Kreyling, J. (Juergen), Lamprecht, A. (Andrea), Lang, S. I. (Simone, I), Larson, C. (Christian), Larson, K. (Keith), Laska, K. (Kamil), Maire, G. I. (Guerric Ie), Leihy, R. I. (Rachel, I), Lens, L. (Luc), Liljebladh, B. (Bengt), Lohila, A. (Annalea), Lorite, J. (Juan), Loubet, B. (Benjamin), Lynn, J. (Joshua), Macek, M. (Martin), Mackenzie, R. (Roy), Magliulo, E. (Enzo), Maier, R. (Regine), Malfasi, F. (Francesco), Malis, F. (Frantisek), Man, M. (Matej), Manca, G. (Giovanni), Manco, A. (Antonio), Manise, T. (Tanguy), Manolaki, P. (Paraskevi), Marciniak, F. (Felipe), Matula, R. (Radim), Clara Mazzolari, A. (Ana), Medinets, S. (Sergiy), Medinets, V. (Volodymyr), Meeussen, C. (Camille), Merinero, S. (Sonia), Guimaraes Mesquita, R. d. (Rita de Cassia), Meusburger, K. (Katrin), Meysman, F. J. (Filip J. R.), Michaletz, S. T. (Sean T.), Milbau, A. (Ann), Moiseev, D. (Dmitry), Moiseev, P. (Pavel), Mondoni, A. (Andrea), Monfries, R. (Ruth), Montagnani, L. (Leonardo), Moriana-Armendariz, M. (Mikel), di Cella, U. M. (Umberto Morra), Moersdorf, M. (Martin), Mosedale, J. R. (Jonathan R.), Muffler, L. (Lena), Munoz-Rojas, M. (Miriam), Myers, J. A. (Jonathan A.), Myers-Smith, I. H. (Isla H.), Nagy, L. (Laszlo), Nardino, M. (Marianna), Naujokaitis-Lewis, I. (Ilona), Newling, E. (Emily), Nicklas, L. (Lena), Niedrist, G. (Georg), Niessner, A. (Armin), Nilsson, M. B. (Mats B.), Normand, S. (Signe), Nosetto, M. D. (Marcelo D.), Nouvellon, Y. (Yann), Nunez, M. A. (Martin A.), Ogaya, R. (Roma), Ogee, J. (Jerome), Okello, J. (Joseph), Olejnik, J. (Janusz), Olesen, J. E. (Jorgen Eivind), Opedal, O. H. (Oystein H.), Orsenigo, S. (Simone), Palaj, A. (Andrej), Pampuch, T. (Timo), Panov, A. V. (Alexey V.), Pärtel, M. (Meelis), Pastor, A. (Ada), Pauchard, A. (Aníbal), Pauli, H. (Harald), Pavelka, M. (Marian), Pearse, W. D. (William D.), Peichl, M. (Matthias), Pellissier, L. (Loïc), Penczykowski, R. M. (Rachel M.), Penuelas, J. (Josep), Petit Bon, M. (Matteo), Petraglia, A. (Alessandro), Phartyal, S. S. (Shyam S.), Phoenix, G. K. (Gareth K.), Pio, C. (Casimiro), Pitacco, A. (Andrea), Pitteloud, C. (Camille), Plichta, R. (Roman), Porro, F. (Francesco), Portillo-Estrada, M. (Miguel), Poulenard, J. (Jérôme), Poyatos, R. (Rafael), Prokushkin, A. S. (Anatoly S.), Puchalka, R. (Radoslaw), Pușcaș, M. (Mihai), Radujković, D. (Dajana), Randall, K. (Krystal), Ratier Backes, A. (Amanda), Remmele, S. (Sabine), Remmers, W. (Wolfram), Renault, D. (David), Risch, A. C. (Anita C.), Rixen, C. (Christian), Robinson, S. A. (Sharon A.), Robroek, B. J. (Bjorn J. M.), Rocha, A. V. (Adrian V.), Rossi, C. (Christian), Rossi, G. (Graziano), Roupsard, O. (Olivier), Rubtsov, A. V. (Alexey V.), Saccone, P. (Patrick), Sagot, C. (Clotilde), Sallo Bravo, J. (Jhonatan), Santos, C. C. (Cinthya C.), Sarneel, J. M. (Judith M.), Scharnweber, T. (Tobias), Schmeddes, J. (Jonas), Schmidt, M. (Marius), Scholten, T. (Thomas), Schuchardt, M. (Max), Schwartz, N. (Naomi), Scott, T. (Tony), Seeber, J. (Julia), Segalin De Andrade, A. C. (Ana Cristina), Seipel, T. (Tim), Semenchuk, P. (Philipp), Senior, R. A. (Rebecca A.), Serra-Diaz, J. M. (Josep M.), Sewerniak, P. (Piotr), Shekhar, A. (Ankit), Sidenko, N. V. (Nikita V.), Siebicke, L. (Lukas), Siegwart Collier, L. (Laura), Simpson, E. (Elizabeth), Siqueira, D. P. (David P.), Sitková, Z. (Zuzana), Six, J. (Johan), Smiljanic, M. (Marko), Smith, S. W. (Stuart W.), Smith-Tripp, S. (Sarah), Somers, B. (Ben), Sørensen, M. V. (Mia Vedel), Souza, J. J. (José João L. L.), Souza, B. I. (Bartolomeu Israel), Dias, A. S. (Arildo Souza), Spasojevic, M. J. (Marko J.), Speed, J. D. (James D. M.), Spicher, F. (Fabien), Stanisci, A. (Angela), Steinbauer, K. (Klaus), Steinbrecher, R. (Rainer), Steinwandter, M. (Michael), Stemkovski, M. (Michael), Stephan, J. G. (Jörg G.), Stiegler, C. (Christian), Stoll, S. (Stefan), Svátek, M. (Martin), Svoboda, M. (Miroslav), Tagesson, T. (Torbern), Tanentzap, A. J. (Andrew J.), Tanneberger, F. (Franziska), Theurillat, J.-P. (Jean-Paul), Thomas, H. J. (Haydn J. D.), Thomas, A. D. (Andrew D.), Tielbörger, K. (Katja), Tomaselli, M. (Marcello), Treier, U. A. (Urs Albert), Trouillier, M. (Mario), Turtureanu, P. D. (Pavel Dan), Tutton, R. (Rosamond), Tyystjärvi, V. A. (Vilna A.), Ueyama, M. (Masahito), Ujházy, K. (Karol), Ujházyová, M. (Mariana), Uogintas, D. (Domas), Urban, A. V. (Anastasiya V.), Urban, J. (Josef), Urbaniak, M. (Marek), Ursu, T.-M. (Tudor-Mihai), Vaccari, F. P. (Francesco Primo), Van De Vondel, S. (Stijn), Van Den Brink, L. (Liesbeth), Van Geel, M. (Maarten), Vandvik, V. (Vigdis), Vangansbeke, P. (Pieter), Varlagin, A. (Andrej), Veen, G. F. (G. F.), Veenendaal, E. (Elmar), Venn, S. E. (Susanna E.), Verbeeck, H. (Hans), Verbrugggen, E. (Erik), Verheijen, F. G. (Frank G. A.), Villar, L. (Luis), Vitale, L. (Luca), Vittoz, P. (Pascal), Vives-Ingla, M. (Maria), Von Oppen, J. (Jonathan), Walz, J. (Josefine), Wang, R. (Runxi), Wang, Y. (Yifeng), Way, R. G. (Robert G.), Wedegärtner, R. E. (Ronja E. M.), Weigel, R. (Robert), Wild, J. (Jan), Wilkinson, M. (Matthew), Wilmking, M. (Martin), Wingate, L. (Lisa), Winkler, M. (Manuela), Wipf, S. (Sonja), Wohlfahrt, G. (Georg), Xenakis, G. (Georgios), Yang, Y. (Yan), Yu, Z. (Zicheng), Yu, K. (Kailiang), Zellweger, F. (Florian), Zhang, J. (Jian), Zhang, Z. (Zhaochen), Zhao, P. (Peng), Ziemblińska, K. (Klaudia), Zimmermann, R. (Reiner), Zong, S. (Shengwei), Zyryanov, V. I. (Viacheslav I.), Nijs, I. (Ivan), and Lenoir, J. (Jonathan)

Abstract

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0‐5 and 5‐15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km² pixels (summarized from 8519 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10° degrees C (mean = 3.0 +/‐ 2.1° degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/‐2.3° degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (‐0.7 +/‐ 2.3° degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological

Published
2022

18. Environment-sensitivity functions for gross primary productivity in light use efficiency models

Author

Bao, S, Wutzler, T, Koirala, S, Cuntz, M, Ibrom, A, Besnard, S, Walther, S, Šigut, L, Moreno, A, Weber, U, Wohlfahrt, G, Cleverly, J, Migliavacca, M, Woodgate, W, Merbold, L, Veenendaal, E, Carvalhais, N, Bao, S, Wutzler, T, Koirala, S, Cuntz, M, Ibrom, A, Besnard, S, Walther, S, Šigut, L, Moreno, A, Weber, U, Wohlfahrt, G, Cleverly, J, Migliavacca, M, Woodgate, W, Merbold, L, Veenendaal, E, and Carvalhais, N

Abstract

The sensitivity of photosynthesis to environmental changes is essential for understanding carbon cycle responses to global climate change and for the development of modeling approaches that explains its spatial and temporal variability. We collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors. These include the responses of GPP to temperature; vapor pressure deficit, some of which include the response to atmospheric CO2 concentrations; soil water availability (W); light intensity; and cloudiness. These functions were combined in a full factorial light use efficiency (LUE) model structure, leading to a collection of 5600 distinct LUE models. Each model was optimized against daily GPP and evapotranspiration fluxes from 196 FLUXNET sites and ranked across sites based on a bootstrap approach. The GPP sensitivity to each environmental factor, including CO2 fertilization, was shown to be significant, and that none of the previously published model structures performed as well as the best model selected. From daily and weekly to monthly scales, the best model's median Nash-Sutcliffe model efficiency across sites was 0.73, 0.79 and 0.82, respectively, but poorer at annual scales (0.23), emphasizing the common limitation of current models in describing the interannual variability of GPP. Although the best global model did not match the local best model at each site, the selection was robust across ecosystem types. The contribution of light saturation and cloudiness to GPP was observed across all biomes (from 23% to 43%). Temperature and W dominates GPP and LUE but responses of GPP to temperature and W are lagged in cold and arid ecosystems, respectively. The findings of this study provide a foundation towards more robust LUE-based estimates of global GPP and may provide a benchmark for other empirical GPP products.

Published
2022

23. Global maps of soil temperature

Author

Lembrechts, JJ, van den Hoogen, J, Aalto, J, Ashcroft, MB, De Frenne, P, Kemppinen, J, Kopecký, M, Luoto, M, Maclean, IMD, Crowther, TW, Bailey, JJ, Haesen, S, Klinges, DH, Niittynen, P, Scheffers, BR, Van Meerbeek, K, Aartsma, P, Abdalaze, O, Abedi, M, Aerts, R, Ahmadian, N, Ahrends, A, Alatalo, JM, Alexander, JM, Nina Allonsius, C, Altman, J, Ammann, C, Andres, C, Andrews, C, Ardö, J, Arriga, N, Arzac, A, Aschero, V, Assis, RL, Johann Assmann, J, Bader, MY, Bahalkeh, K, Barančok, P, Barrio, IC, Barros, A, Barthel, M, Basham, EW, Bauters, M, Bazzichetto, M, Belelli Marchesini, L, Bell, MC, Benavides, JC, Luis Benito Alonso, J, Berauer, BJ, Bjerke, JW, Björk, RG, Björkman, MP, Björnsdóttir, K, Blonder, B, Boeckx, P, Boike, J, Bokhorst, S, Brum, BNS, Brůna, J, Buchmann, N, Buysse, P, Luís Camargo, J, Campoe, OC, Candan, O, Canessa, R, Cannone, N, Carbognani, M, Carnicer, J, Casanova‐Katny, A, Cesarz, S, Chojnicki, B, Choler, P, Chown, SL, Cifuentes, EF, Čiliak, M, Contador, T, Convey, P, Cooper, EJ, Cremonese, E, Curasi, SR, Curtis, R, Cutini, M, Johan Dahlberg, C, Daskalova, GN, Angel de Pablo, M, Della Chiesa, S, Dengler, J, Deronde, B, Descombes, P, Di Cecco, V, Di Musciano, M, Dick, J, Dimarco, RD, Dolezal, J, Dorrepaal, E, Dušek, J, Eisenhauer, N, Eklundh, L, Erickson, TE, Erschbamer, B, Eugster, W, Ewers, RM, Exton, DA, Fanin, N, Fazlioglu, F, Feigenwinter, I, Fenu, G, Ferlian, O, Rosa Fernández Calzado, M, Fernández‐Pascual, E, Finckh, M, Finger Higgens, R, Forte, TGW, Freeman, EC, Frei, ER, Fuentes‐Lillo, E, García, RA, García, MB, Géron, C, Gharun, M, Ghosn, D, Gigauri, K, Gobin, A, Goded, I, Goeckede, M, Gottschall, F, Goulding, K, Govaert, S, Jessen Graae, B, Greenwood, S, Greiser, C, Grelle, A, Guénard, B, Guglielmin, M, Guillemot, J, Haase, P, Haider, S, Halbritter, AH, Hamid, M, Hammerle, A, Hampe, A, Haugum, SV, Hederová, L, Heinesch, B, Helfter, C, Hepenstrick, D, Herberich, M, Herbst, M, Hermanutz, L, Hik, DS, Hoffrén, R, Homeier, J, Hörtnagl, L, Høye, TT, Hrbacek, F, Hylander, K, Iwata, H, Antoni Jackowicz‐Korczynski, M, Jactel, H, Järveoja, J, Jastrzębowski, S, Jentsch, A, Jiménez, JJ, Jónsdóttir, IS, Jucker, T, Jump, AS, Juszczak, R, Kanka, R, Kašpar, V, Kazakis, G, Kelly, J, Khuroo, AA, Klemedtsson, L, Klisz, M, Kljun, N, Knohl, A, Kobler, J, Kollár, J, Kotowska, MM, Kovács, B, Kreyling, J, Lamprecht, A, Lang, SI, Larson, C, Larson, K, Laska, K, le Maire, G, Leihy, RI, Lens, L, Liljebladh, B, Lohila, A, Lorite, J, Loubet, B, Lynn, J, Macek, M, Mackenzie, R, Magliulo, E, Maier, R, Malfasi, F, Máliš, F, Man, M, Manca, G, Manco, A, Manise, T, Manolaki, P, Marciniak, F, Matula, R, Clara Mazzolari, A, Medinets, S, Medinets, V, Meeussen, C, Merinero, S, de Cássia Guimarães Mesquita, R, Meusburger, K, Meysman, FJR, Michaletz, ST, Milbau, A, Moiseev, D, Moiseev, P, Mondoni, A, Monfries, R, Montagnani, L, Moriana‐Armendariz, M, Morra di Cella, U, Mörsdorf, M, Mosedale, JR, Muffler, L, Muñoz‐Rojas, M, Myers, JA, Myers‐Smith, IH, Nagy, L, Nardino, M, Naujokaitis‐Lewis, I, Newling, Emily, Nicklas, L, Niedrist, G, Niessner, A, Nilsson, MB, Normand, S, Nosetto, MD, Nouvellon, Y, Nuñez, MA, Ogaya, R, Ogée, J, Okello, J, Olejnik, J, Eivind Olesen, J, Opedal, Ø, Orsenigo, S, Palaj, A, Pampuch, T, Panov, AV, Pärtel, M, Pastor, A, Pauchard, A, Pauli, H, Pavelka, M, Pearse, WD, Peichl, M, Pellissier, L, Penczykowski, RM, Penuelas, J, Petit Bon, M, Petraglia, A, Phartyal, SS, Phoenix, GK, Pio, C, Pitacco, A, Pitteloud, C, Plichta, R, Porro, F, Portillo‐Estrada, M, Poulenard, J, Poyatos, R, Prokushkin, AS, Puchalka, R, Pușcaș, M, Radujković, D, Randall, K, Ratier Backes, A, Remmele, S, Remmers, W, Renault, D, Risch, AC, Rixen, C, Robinson, SA, Robroek, BJM, Rocha, AV, Rossi, C, Rossi, G, Roupsard, O, Rubtsov, AV, Saccone, P, Sagot, C, Sallo Bravo, J, Santos, CC, Sarneel, JM, Scharnweber, T, Schmeddes, J, Schmidt, M, Scholten, T, Schuchardt, M, Schwartz, N, Scott, T, Seeber, J, Cristina Segalin de Andrade, A, Seipel, T, Semenchuk, P, Senior, RA, Serra‐Diaz, JM, Sewerniak, P, Shekhar, A, Sidenko, NV, Siebicke, L, Siegwart Collier, L, Simpson, E, Siqueira, DP, Sitková, Z, Six, J, Smiljanic, M, Smith, SW, Smith‐Tripp, S, Somers, B, Vedel Sørensen, M, João L. L. Souza, J, Israel Souza, B, Souza Dias, A, Spasojevic, MJ, Speed, JDM, Spicher, F, Stanisci, A, Steinbauer, K, Steinbrecher, R, Steinwandter, M, Stemkovski, M, Stephan, JG, Stiegler, C, Stoll, S, Svátek, M, Svoboda, M, Tagesson, T, Tanentzap, AJ, Tanneberger, F, Theurillat, J, Thomas, HJD, Thomas, AD, Tielbörger, K, Tomaselli, M, Albert Treier, U, Trouillier, M, Dan Turtureanu, P, Tutton, R, Tyystjärvi, VA, Ueyama, M, Ujházy, K, Ujházyová, M, Uogintas, D, Urban, AV, Urban, J, Urbaniak, M, Ursu, T, Primo Vaccari, F, Van de Vondel, S, van den Brink, L, Van Geel, M, Vandvik, V, Vangansbeke, P, Varlagin, A, Veen, GF, Veenendaal, E, Venn, Susanna, Verbeeck, H, Verbrugggen, E, Verheijen, FGA, Villar, L, Vitale, L, Vittoz, P, Vives‐Ingla, M, von Oppen, J, Walz, J, Wang, R, Wang, Y, Way, RG, Wedegärtner, REM, Weigel, R, Wild, J, Wilkinson, M, Wilmking, M, Wingate, L, Winkler, M, Wipf, S, Wohlfahrt, G, Xenakis, G, Yang, Y, Yu, Z, Yu, K, Zellweger, F, Zhang, J, Zhang, Z, Zhao, P, Ziemblińska, K, Zimmermann, R, Zong, S, Zyryanov, VI, Nijs, I, Lenoir, J, Lembrechts, JJ, van den Hoogen, J, Aalto, J, Ashcroft, MB, De Frenne, P, Kemppinen, J, Kopecký, M, Luoto, M, Maclean, IMD, Crowther, TW, Bailey, JJ, Haesen, S, Klinges, DH, Niittynen, P, Scheffers, BR, Van Meerbeek, K, Aartsma, P, Abdalaze, O, Abedi, M, Aerts, R, Ahmadian, N, Ahrends, A, Alatalo, JM, Alexander, JM, Nina Allonsius, C, Altman, J, Ammann, C, Andres, C, Andrews, C, Ardö, J, Arriga, N, Arzac, A, Aschero, V, Assis, RL, Johann Assmann, J, Bader, MY, Bahalkeh, K, Barančok, P, Barrio, IC, Barros, A, Barthel, M, Basham, EW, Bauters, M, Bazzichetto, M, Belelli Marchesini, L, Bell, MC, Benavides, JC, Luis Benito Alonso, J, Berauer, BJ, Bjerke, JW, Björk, RG, Björkman, MP, Björnsdóttir, K, Blonder, B, Boeckx, P, Boike, J, Bokhorst, S, Brum, BNS, Brůna, J, Buchmann, N, Buysse, P, Luís Camargo, J, Campoe, OC, Candan, O, Canessa, R, Cannone, N, Carbognani, M, Carnicer, J, Casanova‐Katny, A, Cesarz, S, Chojnicki, B, Choler, P, Chown, SL, Cifuentes, EF, Čiliak, M, Contador, T, Convey, P, Cooper, EJ, Cremonese, E, Curasi, SR, Curtis, R, Cutini, M, Johan Dahlberg, C, Daskalova, GN, Angel de Pablo, M, Della Chiesa, S, Dengler, J, Deronde, B, Descombes, P, Di Cecco, V, Di Musciano, M, Dick, J, Dimarco, RD, Dolezal, J, Dorrepaal, E, Dušek, J, Eisenhauer, N, Eklundh, L, Erickson, TE, Erschbamer, B, Eugster, W, Ewers, RM, Exton, DA, Fanin, N, Fazlioglu, F, Feigenwinter, I, Fenu, G, Ferlian, O, Rosa Fernández Calzado, M, Fernández‐Pascual, E, Finckh, M, Finger Higgens, R, Forte, TGW, Freeman, EC, Frei, ER, Fuentes‐Lillo, E, García, RA, García, MB, Géron, C, Gharun, M, Ghosn, D, Gigauri, K, Gobin, A, Goded, I, Goeckede, M, Gottschall, F, Goulding, K, Govaert, S, Jessen Graae, B, Greenwood, S, Greiser, C, Grelle, A, Guénard, B, Guglielmin, M, Guillemot, J, Haase, P, Haider, S, Halbritter, AH, Hamid, M, Hammerle, A, Hampe, A, Haugum, SV, Hederová, L, Heinesch, B, Helfter, C, Hepenstrick, D, Herberich, M, Herbst, M, Hermanutz, L, Hik, DS, Hoffrén, R, Homeier, J, Hörtnagl, L, Høye, TT, Hrbacek, F, Hylander, K, Iwata, H, Antoni Jackowicz‐Korczynski, M, Jactel, H, Järveoja, J, Jastrzębowski, S, Jentsch, A, Jiménez, JJ, Jónsdóttir, IS, Jucker, T, Jump, AS, Juszczak, R, Kanka, R, Kašpar, V, Kazakis, G, Kelly, J, Khuroo, AA, Klemedtsson, L, Klisz, M, Kljun, N, Knohl, A, Kobler, J, Kollár, J, Kotowska, MM, Kovács, B, Kreyling, J, Lamprecht, A, Lang, SI, Larson, C, Larson, K, Laska, K, le Maire, G, Leihy, RI, Lens, L, Liljebladh, B, Lohila, A, Lorite, J, Loubet, B, Lynn, J, Macek, M, Mackenzie, R, Magliulo, E, Maier, R, Malfasi, F, Máliš, F, Man, M, Manca, G, Manco, A, Manise, T, Manolaki, P, Marciniak, F, Matula, R, Clara Mazzolari, A, Medinets, S, Medinets, V, Meeussen, C, Merinero, S, de Cássia Guimarães Mesquita, R, Meusburger, K, Meysman, FJR, Michaletz, ST, Milbau, A, Moiseev, D, Moiseev, P, Mondoni, A, Monfries, R, Montagnani, L, Moriana‐Armendariz, M, Morra di Cella, U, Mörsdorf, M, Mosedale, JR, Muffler, L, Muñoz‐Rojas, M, Myers, JA, Myers‐Smith, IH, Nagy, L, Nardino, M, Naujokaitis‐Lewis, I, Newling, Emily, Nicklas, L, Niedrist, G, Niessner, A, Nilsson, MB, Normand, S, Nosetto, MD, Nouvellon, Y, Nuñez, MA, Ogaya, R, Ogée, J, Okello, J, Olejnik, J, Eivind Olesen, J, Opedal, Ø, Orsenigo, S, Palaj, A, Pampuch, T, Panov, AV, Pärtel, M, Pastor, A, Pauchard, A, Pauli, H, Pavelka, M, Pearse, WD, Peichl, M, Pellissier, L, Penczykowski, RM, Penuelas, J, Petit Bon, M, Petraglia, A, Phartyal, SS, Phoenix, GK, Pio, C, Pitacco, A, Pitteloud, C, Plichta, R, Porro, F, Portillo‐Estrada, M, Poulenard, J, Poyatos, R, Prokushkin, AS, Puchalka, R, Pușcaș, M, Radujković, D, Randall, K, Ratier Backes, A, Remmele, S, Remmers, W, Renault, D, Risch, AC, Rixen, C, Robinson, SA, Robroek, BJM, Rocha, AV, Rossi, C, Rossi, G, Roupsard, O, Rubtsov, AV, Saccone, P, Sagot, C, Sallo Bravo, J, Santos, CC, Sarneel, JM, Scharnweber, T, Schmeddes, J, Schmidt, M, Scholten, T, Schuchardt, M, Schwartz, N, Scott, T, Seeber, J, Cristina Segalin de Andrade, A, Seipel, T, Semenchuk, P, Senior, RA, Serra‐Diaz, JM, Sewerniak, P, Shekhar, A, Sidenko, NV, Siebicke, L, Siegwart Collier, L, Simpson, E, Siqueira, DP, Sitková, Z, Six, J, Smiljanic, M, Smith, SW, Smith‐Tripp, S, Somers, B, Vedel Sørensen, M, João L. L. Souza, J, Israel Souza, B, Souza Dias, A, Spasojevic, MJ, Speed, JDM, Spicher, F, Stanisci, A, Steinbauer, K, Steinbrecher, R, Steinwandter, M, Stemkovski, M, Stephan, JG, Stiegler, C, Stoll, S, Svátek, M, Svoboda, M, Tagesson, T, Tanentzap, AJ, Tanneberger, F, Theurillat, J, Thomas, HJD, Thomas, AD, Tielbörger, K, Tomaselli, M, Albert Treier, U, Trouillier, M, Dan Turtureanu, P, Tutton, R, Tyystjärvi, VA, Ueyama, M, Ujházy, K, Ujházyová, M, Uogintas, D, Urban, AV, Urban, J, Urbaniak, M, Ursu, T, Primo Vaccari, F, Van de Vondel, S, van den Brink, L, Van Geel, M, Vandvik, V, Vangansbeke, P, Varlagin, A, Veen, GF, Veenendaal, E, Venn, Susanna, Verbeeck, H, Verbrugggen, E, Verheijen, FGA, Villar, L, Vitale, L, Vittoz, P, Vives‐Ingla, M, von Oppen, J, Walz, J, Wang, R, Wang, Y, Way, RG, Wedegärtner, REM, Weigel, R, Wild, J, Wilkinson, M, Wilmking, M, Wingate, L, Winkler, M, Wipf, S, Wohlfahrt, G, Xenakis, G, Yang, Y, Yu, Z, Yu, K, Zellweger, F, Zhang, J, Zhang, Z, Zhao, P, Ziemblińska, K, Zimmermann, R, Zong, S, Zyryanov, VI, Nijs, I, and Lenoir, J

Published
2021

24. Effects of climate and atmospheric nitrogen deposition on early to mid-term stage litter decomposition across biomes

Author

Kwon, T., Shibata, H., Kepfer-Rojas, S., Schmidt, I. K., Larsen, K. S., Beier, C., Berg, B., Verheyen, K., Lamarque, J. F., Hagedorn, F., Eisenhauer, N., Djukic, I., Caliman, A., Paquette, A., Gutiérrez-Girón, A., Petraglia, A., Augustaitis, A., Saillard, A., Ruiz-Fernández, A. C., Sousa, A. I., Lillebø, A. I., Da Rocha Gripp, A., Lamprecht, A., Bohner, A., Francez, A. J., Malyshev, A., Andrić, A., Stanisci, A., Zolles, A., Avila, A., Virkkala, A. M., Probst, A., Ouin, A., Khuroo, A. A., Verstraeten, A., Stefanski, A., Gaxiola, A., Muys, B., Gozalo, B., Ahrends, B., Yang, B., Erschbamer, B., Rodríguez Ortíz, C. E., Christiansen, C. T., Meredieu, C., Mony, C., Nock, C., Wang, C. P., Baum, C., Rixen, C., Delire, C., Piscart, C., Andrews, C., Rebmann, C., Branquinho, C., Jan, D., Wundram, D., Vujanović, D., Adair, E. C., Ordóñez-Regil, E., Crawford, E. R., Tropina, E. F., Hornung, E., Groner, E., Lucot, E., Gacia, E., Lévesque, E., Benedito, E., Davydov, E. A., Bolzan, F. P., Maestre, F. T., Maunoury-Danger, F., Kitz, F., Hofhansl, F., Hofhansl, G., De Almeida Lobo, F., Souza, F. L., Zehetner, F., Koffi, F. K., Wohlfahrt, G., Certini, G., Pinha, G. D., Gonzlez, G., Canut, G., Pauli, H., Bahamonde, H. A., Feldhaar, H., Jger, H., Serrano, H. C., Verheyden, H., Bruelheide, H., Meesenburg, H., Jungkunst, H., Jactel, H., Kurokawa, H., Yesilonis, I., Melece, I., Van Halder, I., Quirós, I. G., Fekete, I., Ostonen, I., Borovsk, J., Roales, J., Shoqeir, J. H., Jean-Christophe Lata, J., Probst, J. L., Vijayanathan, J., Dolezal, J., Sanchez-Cabeza, J. A., Merlet, J., Loehr, J., Von Oppen, J., Löffler, J., Benito Alonso, J. L., Cardoso-Mohedano, J. G., Peñuelas, J., Morina, J. C., Quinde, J. D., Jimnez, J. J., Alatalo, J. M., Seeber, J., Kemppinen, J., Stadler, J., Kriiska, K., Van Den Meersche, K., Fukuzawa, K., Szlavecz, K., Juhos, K., Gerhtov, K., Lajtha, K., Jennings, K., Jennings, J., Ecology, P., Hoshizaki, K., Green, K., Steinbauer, K., Pazianoto, L., Dienstbach, L., Yahdjian, L., Williams, L. J., Brigham, L., Hanna, L., Hanna, H., Rustad, L., Morillas, L., Silva Carneiro, L., Di Martino, L., Villar, L., Fernandes Tavares, L. A., Morley, M., Winkler, M., Lebouvier, M., Tomaselli, M., Schaub, M., Glushkova, M., Torres, M. G. A., De Graaff, M. A., Pons, M. N., Bauters, M., Mazn, M., Frenzel, M., Wagner, M., Didion, M., Hamid, M., Lopes, M., Apple, M., Weih, M., Mojses, M., Gualmini, M., Vadeboncoeur, M., Bierbaumer, M., Danger, M., Scherer-Lorenzen, M., Ruek, M., Isabellon, M., Di Musciano, M., Carbognani, M., Zhiyanski, M., Puca, M., Barna, M., Ataka, M., Luoto, M., H. Alsafaran, M., Barsoum, N., Tokuchi, N., Korboulewsky, N., Lecomte, N., Filippova, N., Hlzel, N., Ferlian, O., Romero, O., Pinto-Jr, O., Peri, P., Dan Turtureanu, P., Haase, P., Macreadie, P., Reich, P. B., Petk, P., Choler, P., Marmonier, P., Ponette, Q., Dettogni Guariento, R., Canessa, R., Kiese, R., Hewitt, R., Weigel, R., Kanka, R., Gatti, R. C., Martins, R. L., Ogaya, R., Georges, R., Gaviln, R. G., Wittlinger, S., Puijalon, S., Suzuki, S., Martin, S., Anja, S., Gogo, S., Schueler, S., Drollinger, S., Mereu, S., Wipf, S., Trevathan-Tackett, S., Stoll, S., Lfgren, S., Trogisch, S., Seitz, S., Glatzel, S., Venn, S., Dousset, S., Mori, T., Sato, T., Hishi, T., Nakaji, T., Jean-Paul, T., Camboulive, T., Spiegelberger, T., Scholten, T., Mozdzer, T. J., Kleinebecker, T., Runk, T., Ramaswiela, T., Hiura, T., Enoki, T., Ursu, T. M., Di Cella, U. M., Hamer, U., Klaus, V., Di Cecco, V., Rego, V., Fontana, V., Piscov, V., Bretagnolle, V., Maire, V., Farjalla, V., Pascal, V., Zhou, W., Luo, W., Parker, W., Parker, P., Kominam, Y., Kotrocz, Z., Utsumi, Y., Kwon, T., Shibata, H., Kepfer-Rojas, S., Schmidt, I. K., Larsen, K. S., Beier, C., Berg, B., Verheyen, K., Lamarque, J. F., Hagedorn, F., Eisenhauer, N., Djukic, I., Caliman, A., Paquette, A., Gutiérrez-Girón, A., Petraglia, A., Augustaitis, A., Saillard, A., Ruiz-Fernández, A. C., Sousa, A. I., Lillebø, A. I., Da Rocha Gripp, A., Lamprecht, A., Bohner, A., Francez, A. J., Malyshev, A., Andrić, A., Stanisci, A., Zolles, A., Avila, A., Virkkala, A. M., Probst, A., Ouin, A., Khuroo, A. A., Verstraeten, A., Stefanski, A., Gaxiola, A., Muys, B., Gozalo, B., Ahrends, B., Yang, B., Erschbamer, B., Rodríguez Ortíz, C. E., Christiansen, C. T., Meredieu, C., Mony, C., Nock, C., Wang, C. P., Baum, C., Rixen, C., Delire, C., Piscart, C., Andrews, C., Rebmann, C., Branquinho, C., Jan, D., Wundram, D., Vujanović, D., Adair, E. C., Ordóñez-Regil, E., Crawford, E. R., Tropina, E. F., Hornung, E., Groner, E., Lucot, E., Gacia, E., Lévesque, E., Benedito, E., Davydov, E. A., Bolzan, F. P., Maestre, F. T., Maunoury-Danger, F., Kitz, F., Hofhansl, F., Hofhansl, G., De Almeida Lobo, F., Souza, F. L., Zehetner, F., Koffi, F. K., Wohlfahrt, G., Certini, G., Pinha, G. D., Gonzlez, G., Canut, G., Pauli, H., Bahamonde, H. A., Feldhaar, H., Jger, H., Serrano, H. C., Verheyden, H., Bruelheide, H., Meesenburg, H., Jungkunst, H., Jactel, H., Kurokawa, H., Yesilonis, I., Melece, I., Van Halder, I., Quirós, I. G., Fekete, I., Ostonen, I., Borovsk, J., Roales, J., Shoqeir, J. H., Jean-Christophe Lata, J., Probst, J. L., Vijayanathan, J., Dolezal, J., Sanchez-Cabeza, J. A., Merlet, J., Loehr, J., Von Oppen, J., Löffler, J., Benito Alonso, J. L., Cardoso-Mohedano, J. G., Peñuelas, J., Morina, J. C., Quinde, J. D., Jimnez, J. J., Alatalo, J. M., Seeber, J., Kemppinen, J., Stadler, J., Kriiska, K., Van Den Meersche, K., Fukuzawa, K., Szlavecz, K., Juhos, K., Gerhtov, K., Lajtha, K., Jennings, K., Jennings, J., Ecology, P., Hoshizaki, K., Green, K., Steinbauer, K., Pazianoto, L., Dienstbach, L., Yahdjian, L., Williams, L. J., Brigham, L., Hanna, L., Hanna, H., Rustad, L., Morillas, L., Silva Carneiro, L., Di Martino, L., Villar, L., Fernandes Tavares, L. A., Morley, M., Winkler, M., Lebouvier, M., Tomaselli, M., Schaub, M., Glushkova, M., Torres, M. G. A., De Graaff, M. A., Pons, M. N., Bauters, M., Mazn, M., Frenzel, M., Wagner, M., Didion, M., Hamid, M., Lopes, M., Apple, M., Weih, M., Mojses, M., Gualmini, M., Vadeboncoeur, M., Bierbaumer, M., Danger, M., Scherer-Lorenzen, M., Ruek, M., Isabellon, M., Di Musciano, M., Carbognani, M., Zhiyanski, M., Puca, M., Barna, M., Ataka, M., Luoto, M., H. Alsafaran, M., Barsoum, N., Tokuchi, N., Korboulewsky, N., Lecomte, N., Filippova, N., Hlzel, N., Ferlian, O., Romero, O., Pinto-Jr, O., Peri, P., Dan Turtureanu, P., Haase, P., Macreadie, P., Reich, P. B., Petk, P., Choler, P., Marmonier, P., Ponette, Q., Dettogni Guariento, R., Canessa, R., Kiese, R., Hewitt, R., Weigel, R., Kanka, R., Gatti, R. C., Martins, R. L., Ogaya, R., Georges, R., Gaviln, R. G., Wittlinger, S., Puijalon, S., Suzuki, S., Martin, S., Anja, S., Gogo, S., Schueler, S., Drollinger, S., Mereu, S., Wipf, S., Trevathan-Tackett, S., Stoll, S., Lfgren, S., Trogisch, S., Seitz, S., Glatzel, S., Venn, S., Dousset, S., Mori, T., Sato, T., Hishi, T., Nakaji, T., Jean-Paul, T., Camboulive, T., Spiegelberger, T., Scholten, T., Mozdzer, T. J., Kleinebecker, T., Runk, T., Ramaswiela, T., Hiura, T., Enoki, T., Ursu, T. M., Di Cella, U. M., Hamer, U., Klaus, V., Di Cecco, V., Rego, V., Fontana, V., Piscov, V., Bretagnolle, V., Maire, V., Farjalla, V., Pascal, V., Zhou, W., Luo, W., Parker, W., Parker, P., Kominam, Y., Kotrocz, Z., and Utsumi, Y.

Abstract

Litter decomposition is a key process for carbon and nutrient cycling in terrestrial ecosystems and is mainly controlled by environmental conditions, substrate quantity and quality as well as microbial community abundance and composition. In particular, the effects of climate and atmospheric nitrogen (N) deposition on litter decomposition and its temporal dynamics are of significant importance, since their effects might change over the course of the decomposition process. Within the TeaComposition initiative, we incubated Green and Rooibos teas at 524 sites across nine biomes. We assessed how macroclimate and atmospheric inorganic N deposition under current and predicted scenarios (RCP 2.6, RCP 8.5) might affect litter mass loss measured after 3 and 12 months. Our study shows that the early to mid-term mass loss at the global scale was affected predominantly by litter quality (explaining 73% and 62% of the total variance after 3 and 12 months, respectively) followed by climate and N deposition. The effects of climate were not litter-specific and became increasingly significant as decomposition progressed, with MAP explaining 2% and MAT 4% of the variation after 12 months of incubation. The effect of N deposition was litter-specific, and significant only for 12-month decomposition of Rooibos tea at the global scale. However, in the temperate biome where atmospheric N deposition rates are relatively high, the 12-month mass loss of Green and Rooibos teas decreased significantly with increasing N deposition, explaining 9.5% and 1.1% of the variance, respectively. The expected changes in macroclimate and N deposition at the global scale by the end of this century are estimated to increase the 12-month mass loss of easily decomposable litter by 1.1-3.5% and of the more stable substrates by 3.8-10.6%, relative to current mass loss. In contrast, expected changes in atmospheric N deposition will decrease the mid-term mass loss of high-quality litter by 1.4-2.2% and that of l

Published
2021

25. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (vol 7, 225, 2020)

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9.

Published
2021

26. The three major axes of terrestrial ecosystem function

Author

Migliavacca, M., Musavi, T., Mahecha, Miguel Dario, Nelson, J.A., Knauer, J., Baldocchi, D.D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T.A., Blanken, P.D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A.R., El-Madany, T.S., Farella, M.M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C.M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I.A., Jung, M., Kattge, J., Keenan, T.F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B.E., Liddell, M.J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D.E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R.P., Reich, P.B., Rossini, M., Rotenberg, E., Scott, R.L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I.J., Yakir, D., Zaehle, S., Reichstein, M., Migliavacca, M., Musavi, T., Mahecha, Miguel Dario, Nelson, J.A., Knauer, J., Baldocchi, D.D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T.A., Blanken, P.D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A.R., El-Madany, T.S., Farella, M.M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C.M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I.A., Jung, M., Kattge, J., Keenan, T.F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B.E., Liddell, M.J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D.E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R.P., Reich, P.B., Rossini, M., Rotenberg, E., Scott, R.L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I.J., Yakir, D., Zaehle, S., and Reichstein, M.

Abstract

The leaf economics spectrum(1,2) and the global spectrum of plant forms and functions(3) revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species(2). Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities(4). However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability(4,5). Here we derive a set of ecosystem functions(6) from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems(7,8).

Published
2021

27. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.

Published
2021

28. Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites

Author

Nelson, J.A., Pérez-Priego, O., Zhou, S., Poyatos, R., Zhang, Y., Blanken, P.D., Gimeno, T.E., Wohlfahrt, G., Desai, A.R., Gioli, B., Limousin, J.M., Bonal, D., Paul-Limoges, E., Scott, R.L., Varlagin, A., Fuchs, K., Montagnani, L., Wolf, S., Delpierre, N., Berveiller, D., Nelson, J.A., Pérez-Priego, O., Zhou, S., Poyatos, R., Zhang, Y., Blanken, P.D., Gimeno, T.E., Wohlfahrt, G., Desai, A.R., Gioli, B., Limousin, J.M., Bonal, D., Paul-Limoges, E., Scott, R.L., Varlagin, A., Fuchs, K., Montagnani, L., Wolf, S., Delpierre, N., and Berveiller, D.

Abstract

We apply and compare three widely applicable methods for estimating ecosystem transpiration (T) from eddy covariance (EC) data across 251 FLUXNET sites globally. All three methods are based on the coupled water and carbon relationship, but they differ in assumptions and parameterizations. Intercomparison of the three daily T estimates shows high correlation among methods (R between .89 and .94), but a spread in magnitudes of T/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based T estimates show higher correlation to sap flow‐based T than EC‐based ET. The partitioning methods show expected tendencies of T/ET increasing with dryness (vapor pressure deficit and days since rain) and with leaf area index (LAI). Analysis of 140 sites with high‐quality estimates for at least two continuous years shows that T/ET variability was 1.6 times higher across sites than across years. Spatial variability of T/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, T and T/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding T globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem T permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate.

Published
2020

29. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

30. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G. (Gilberto), Trotta, C. (Carlo), Canfora, E. (Eleonora), Chu, H. (Housen), Christianson, D. (Danielle), Cheah, Y.-W. (You-Wei), Poindexter, C. (Cristina), Chen, J. (Jiquan), Elbashandy, A. (Abdelrahman), Humphrey, M. (Marty), Isaac, P. (Peter), Polidori, D. (Diego), Ribeca, A. (Alessio), van Ingen, C. (Catharine), Zhang, L. (Leiming), Amiro, B. (Brian), Ammann, C. (Christof), Arain, M. A. (M. Altaf), Ardo, J. (Jonas), Arkebauer, T. (Timothy), Arndt, S. K. (Stefan K.), Arriga, N. (Nicola), Aubinet, M. (Marc), Aurela, M. (Mika), Baldocchi, D. (Dennis), Barr, A. (Alan), Beamesderfer, E. (Eric), Marchesini, L. B. (Luca Belelli), Bergeron, O. (Onil), Beringer, J. (Jason), Bernhofer, C. (Christian), Berveiller, D. (Daniel), Billesbach, D. (Dave), Black, T. A. (Thomas Andrew), Blanken, P. D. (Peter D.), Bohrer, G. (Gil), Boike, J. (Julia), Bolstad, P. V. (Paul V.), Bonal, D. (Damien), Bonnefond, J.-M. (Jean-Marc), Bowling, D. R. (David R.), Bracho, R. (Rosvel), Brodeur, J. (Jason), Bruemmer, C. (Christian), Buchmann, N. (Nina), Burban, B. (Benoit), Burns, S. P. (Sean P.), Buysse, P. (Pauline), Cale, P. (Peter), Cavagna, M. (Mauro), Cellier, P. (Pierre), Chen, S. (Shiping), Chini, I. (Isaac), Christensen, T. R. (Torben R.), Cleverly, J. (James), Collalti, A. (Alessio), Consalvo, C. (Claudia), Cook, B. D. (Bruce D.), Cook, D. (David), Coursolle, C. (Carole), Cremonese, E. (Edoardo), Curtis, P. S. (Peter S.), D'Andrea, E. (Ettore), da Rocha, H. (Humberto), Dai, X. (Xiaoqin), Davis, K. J. (Kenneth J.), De Cinti, B. (Bruno), de Grandcourt, A. (Agnes), De Ligne, A. (Anne), De Oliveira, R. C. (Raimundo C.), Delpierre, N. (Nicolas), Desai, A. R. (Ankur R.), Di Bella, C. M. (Carlos Marcelo), di Tommasi, P. (Paul), Dolman, H. (Han), Domingo, F. (Francisco), Dong, G. (Gang), Dore, S. (Sabina), Duce, P. (Pierpaolo), Dufrene, E. (Eric), Dunn, A. (Allison), Dusek, J. (Jiri), Eamus, D. (Derek), Eichelmann, U. (Uwe), ElKhidir, H. A. (Hatim Abdalla M.), Eugster, W. (Werner), Ewenz, C. M. (Cacilia M.), Ewers, B. (Brent), Famulari, D. (Daniela), Fares, S. (Silvano), Feigenwinter, I. (Iris), Feitz, A. (Andrew), Fensholt, R. (Rasmus), Filippa, G. (Gianluca), Fischer, M. (Marc), Frank, J. (John), Galvagno, M. (Marta), Gharun, M. (Mana), Gianelle, D. (Damiano), Gielen, B. (Bert), Gioli, B. (Beniamino), Gitelson, A. (Anatoly), Goded, I. (Ignacio), Goeckede, M. (Mathias), Goldstein, A. H. (Allen H.), Gough, C. M. (Christopher M.), Goulden, M. L. (Michael L.), Graf, A. (Alexander), Griebel, A. (Anne), Gruening, C. (Carsten), Gruenwald, T. (Thomas), Hammerle, A. (Albin), Han, S. (Shijie), Han, X. (Xingguo), Hansen, B. U. (Birger Ulf), Hanson, C. (Chad), Hatakka, J. (Juha), He, Y. (Yongtao), Hehn, M. (Markus), Heinesch, B. (Bernard), Hinko-Najera, N. (Nina), Hoertnagl, L. (Lukas), Hutley, L. (Lindsay), Ibrom, A. (Andreas), Ikawa, H. (Hiroki), Jackowicz-Korczynski, M. (Marcin), Janous, D. (Dalibor), Jans, W. (Wilma), Jassal, R. (Rachhpal), Jiang, S. (Shicheng), Kato, T. (Tomomichi), Khomik, M. (Myroslava), Klatt, J. (Janina), Knohl, A. (Alexander), Knox, S. (Sara), Kobayashi, H. (Hideki), Koerber, G. (Georgia), Kolle, O. (Olaf), Kosugi, Y. (Yoshiko), Kotani, A. (Ayumi), Kowalski, A. (Andrew), Kruijt, B. (Bart), Kurbatova, J. (Julia), Kutsch, W. L. (Werner L.), Kwon, H. (Hyojung), Launiainen, S. (Samuli), Laurila, T. (Tuomas), Law, B. (Bev), Leuning, R. (Ray), Li, Y. (Yingnian), Liddell, M. (Michael), Limousin, J.-M. (Jean-Marc), Lion, M. (Marryanna), Liska, A. J. (Adam J.), Lohila, A. (Annalea), Lopez-Ballesteros, A. (Ana), Lopez-Blanco, E. (Efren), Loubet, B. (Benjamin), Loustau, D. (Denis), Lucas-Moffat, A. (Antje), Lueers, J. (Johannes), Ma, S. (Siyan), Macfarlane, C. (Craig), Magliulo, V. (Vincenzo), Maier, R. (Regine), Mammarella, I. (Ivan), Manca, G. (Giovanni), Marcolla, B. (Barbara), Margolis, H. A. (Hank A.), Marras, S. (Serena), Massman, W. (William), Mastepanov, M. (Mikhail), Matamala, R. (Roser), Matthes, J. H. (Jaclyn Hatala), Mazzenga, F. (Francesco), McCaughey, H. (Harry), McHugh, I. (Ian), McMillan, A. M. (Andrew M. S.), Merbold, L. (Lutz), Meyer, W. (Wayne), Meyers, T. (Tilden), Miller, S. D. (Scott D.), Minerbi, S. (Stefano), Moderow, U. (Uta), Monson, R. K. (Russell K.), Montagnani, L. (Leonardo), Moore, C. E. (Caitlin E.), Moors, E. (Eddy), Moreaux, V. (Virginie), Moureaux, C. (Christine), Munger, J. W. (J. William), Nakai, T. (Taro), Neirynck, J. (Johan), Nesic, Z. (Zoran), Nicolini, G. (Giacomo), Noormets, A. (Asko), Northwood, M. (Matthew), Nosetto, M. (Marcelo), Nouvellon, Y. (Yann), Novick, K. (Kimberly), Oechel, W. (Walter), Olesen, J. E. (Jorgen Eivind), Ourcival, J.-M. (Jean-Marc), Papuga, S. A. (Shirley A.), Parmentier, F.-J. (Frans-Jan), Paul-Limoges, E. (Eugenie), Pavelka, M. (Marian), Peichl, M. (Matthias), Pendall, E. (Elise), Phillips, R. P. (Richard P.), Pilegaard, K. (Kim), Pirk, N. (Norbert), Posse, G. (Gabriela), Powell, T. (Thomas), Prasse, H. (Heiko), Prober, S. M. (Suzanne M.), Rambal, S. (Serge), Rannik, U. (Ullar), Raz-Yaseef, N. (Naama), Reed, D. (David), de Dios, V. R. (Victor Resco), Restrepo-Coupe, N. (Natalia), Reverter, B. R. (Borja R.), Roland, M. (Marilyn), Sabbatini, S. (Simone), Sachs, T. (Torsten), Saleska, S. R. (Scott R.), Sanchez-Canete, E. P. (Enrique P.), Sanchez-Mejia, Z. M. (Zulia M.), Schmid, H. P. (Hans Peter), Schmidt, M. (Marius), Schneider, K. (Karl), Schrader, F. (Frederik), Schroder, I. (Ivan), Scott, R. L. (Russell L.), Sedlak, P. (Pavel), Serrano-Ortiz, P. (Penelope), Shao, C. (Changliang), Shi, P. (Peili), Shironya, I. (Ivan), Siebicke, L. (Lukas), Sigut, L. (Ladislav), Silberstein, R. (Richard), Sirca, C. (Costantino), Spano, D. (Donatella), Steinbrecher, R. (Rainer), Stevens, R. M. (Robert M.), Sturtevant, C. (Cove), Suyker, A. (Andy), Tagesson, T. (Torbern), Takanashi, S. (Satoru), Tang, Y. (Yanhong), Tapper, N. (Nigel), Thom, J. (Jonathan), Tiedemann, F. (Frank), Tomassucci, M. (Michele), Tuovinen, J.-P. (Juha-Pekka), Urbanski, S. (Shawn), Valentini, R. (Riccardo), van der Molen, M. (Michiel), van Gorsel, E. (Eva), van Huissteden, K. (Ko), Varlagin, A. (Andrej), Verfaillie, J. (Joseph), Vesala, T. (Timo), Vincke, C. (Caroline), Vitale, D. (Domenico), Vygodskaya, N. (Natalia), Walker, J. P. (Jeffrey P.), Walter-Shea, E. (Elizabeth), Wang, H. (Huimin), Weber, R. (Robin), Westermann, S. (Sebastian), Wille, C. (Christian), Wofsy, S. (Steven), Wohlfahrt, G. (Georg), Wolf, S. (Sebastian), Woodgate, W. (William), Li, Y. (Yuelin), Zampedri, R. (Roberto), Zhang, J. (Junhui), Zhou, G. (Guoyi), Zona, D. (Donatella), Agarwal, D. (Deb), Biraud, S. (Sebastien), Torn, M. (Margaret), Papale, D. (Dario), Pastorello, G. (Gilberto), Trotta, C. (Carlo), Canfora, E. (Eleonora), Chu, H. (Housen), Christianson, D. (Danielle), Cheah, Y.-W. (You-Wei), Poindexter, C. (Cristina), Chen, J. (Jiquan), Elbashandy, A. (Abdelrahman), Humphrey, M. (Marty), Isaac, P. (Peter), Polidori, D. (Diego), Ribeca, A. (Alessio), van Ingen, C. (Catharine), Zhang, L. (Leiming), Amiro, B. (Brian), Ammann, C. (Christof), Arain, M. A. (M. Altaf), Ardo, J. (Jonas), Arkebauer, T. (Timothy), Arndt, S. K. (Stefan K.), Arriga, N. (Nicola), Aubinet, M. (Marc), Aurela, M. (Mika), Baldocchi, D. (Dennis), Barr, A. (Alan), Beamesderfer, E. (Eric), Marchesini, L. B. (Luca Belelli), Bergeron, O. (Onil), Beringer, J. (Jason), Bernhofer, C. (Christian), Berveiller, D. (Daniel), Billesbach, D. (Dave), Black, T. A. (Thomas Andrew), Blanken, P. D. (Peter D.), Bohrer, G. (Gil), Boike, J. (Julia), Bolstad, P. V. (Paul V.), Bonal, D. (Damien), Bonnefond, J.-M. (Jean-Marc), Bowling, D. R. (David R.), Bracho, R. (Rosvel), Brodeur, J. (Jason), Bruemmer, C. (Christian), Buchmann, N. (Nina), Burban, B. (Benoit), Burns, S. P. (Sean P.), Buysse, P. (Pauline), Cale, P. (Peter), Cavagna, M. (Mauro), Cellier, P. (Pierre), Chen, S. (Shiping), Chini, I. (Isaac), Christensen, T. R. (Torben R.), Cleverly, J. (James), Collalti, A. (Alessio), Consalvo, C. (Claudia), Cook, B. D. (Bruce D.), Cook, D. (David), Coursolle, C. (Carole), Cremonese, E. (Edoardo), Curtis, P. S. (Peter S.), D'Andrea, E. (Ettore), da Rocha, H. (Humberto), Dai, X. (Xiaoqin), Davis, K. J. (Kenneth J.), De Cinti, B. (Bruno), de Grandcourt, A. (Agnes), De Ligne, A. (Anne), De Oliveira, R. C. (Raimundo C.), Delpierre, N. (Nicolas), Desai, A. R. (Ankur R.), Di Bella, C. M. (Carlos Marcelo), di Tommasi, P. (Paul), Dolman, H. (Han), Domingo, F. (Francisco), Dong, G. (Gang), Dore, S. (Sabina), Duce, P. (Pierpaolo), Dufrene, E. (Eric), Dunn, A. (Allison), Dusek, J. (Jiri), Eamus, D. (Derek), Eichelmann, U. (Uwe), ElKhidir, H. A. (Hatim Abdalla M.), Eugster, W. (Werner), Ewenz, C. M. (Cacilia M.), Ewers, B. (Brent), Famulari, D. (Daniela), Fares, S. (Silvano), Feigenwinter, I. (Iris), Feitz, A. (Andrew), Fensholt, R. (Rasmus), Filippa, G. (Gianluca), Fischer, M. (Marc), Frank, J. (John), Galvagno, M. (Marta), Gharun, M. (Mana), Gianelle, D. (Damiano), Gielen, B. (Bert), Gioli, B. (Beniamino), Gitelson, A. (Anatoly), Goded, I. (Ignacio), Goeckede, M. (Mathias), Goldstein, A. H. (Allen H.), Gough, C. M. (Christopher M.), Goulden, M. L. (Michael L.), Graf, A. (Alexander), Griebel, A. (Anne), Gruening, C. (Carsten), Gruenwald, T. (Thomas), Hammerle, A. (Albin), Han, S. (Shijie), Han, X. (Xingguo), Hansen, B. U. (Birger Ulf), Hanson, C. (Chad), Hatakka, J. (Juha), He, Y. (Yongtao), Hehn, M. (Markus), Heinesch, B. (Bernard), Hinko-Najera, N. (Nina), Hoertnagl, L. (Lukas), Hutley, L. (Lindsay), Ibrom, A. (Andreas), Ikawa, H. (Hiroki), Jackowicz-Korczynski, M. (Marcin), Janous, D. (Dalibor), Jans, W. (Wilma), Jassal, R. (Rachhpal), Jiang, S. (Shicheng), Kato, T. (Tomomichi), Khomik, M. (Myroslava), Klatt, J. (Janina), Knohl, A. (Alexander), Knox, S. (Sara), Kobayashi, H. (Hideki), Koerber, G. (Georgia), Kolle, O. (Olaf), Kosugi, Y. (Yoshiko), Kotani, A. (Ayumi), Kowalski, A. (Andrew), Kruijt, B. (Bart), Kurbatova, J. (Julia), Kutsch, W. L. (Werner L.), Kwon, H. (Hyojung), Launiainen, S. (Samuli), Laurila, T. (Tuomas), Law, B. (Bev), Leuning, R. (Ray), Li, Y. (Yingnian), Liddell, M. (Michael), Limousin, J.-M. (Jean-Marc), Lion, M. (Marryanna), Liska, A. J. (Adam J.), Lohila, A. (Annalea), Lopez-Ballesteros, A. (Ana), Lopez-Blanco, E. (Efren), Loubet, B. (Benjamin), Loustau, D. (Denis), Lucas-Moffat, A. (Antje), Lueers, J. (Johannes), Ma, S. (Siyan), Macfarlane, C. (Craig), Magliulo, V. (Vincenzo), Maier, R. (Regine), Mammarella, I. (Ivan), Manca, G. (Giovanni), Marcolla, B. (Barbara), Margolis, H. A. (Hank A.), Marras, S. (Serena), Massman, W. (William), Mastepanov, M. (Mikhail), Matamala, R. (Roser), Matthes, J. H. (Jaclyn Hatala), Mazzenga, F. (Francesco), McCaughey, H. (Harry), McHugh, I. (Ian), McMillan, A. M. (Andrew M. S.), Merbold, L. (Lutz), Meyer, W. (Wayne), Meyers, T. (Tilden), Miller, S. D. (Scott D.), Minerbi, S. (Stefano), Moderow, U. (Uta), Monson, R. K. (Russell K.), Montagnani, L. (Leonardo), Moore, C. E. (Caitlin E.), Moors, E. (Eddy), Moreaux, V. (Virginie), Moureaux, C. (Christine), Munger, J. W. (J. William), Nakai, T. (Taro), Neirynck, J. (Johan), Nesic, Z. (Zoran), Nicolini, G. (Giacomo), Noormets, A. (Asko), Northwood, M. (Matthew), Nosetto, M. (Marcelo), Nouvellon, Y. (Yann), Novick, K. (Kimberly), Oechel, W. (Walter), Olesen, J. E. (Jorgen Eivind), Ourcival, J.-M. (Jean-Marc), Papuga, S. A. (Shirley A.), Parmentier, F.-J. (Frans-Jan), Paul-Limoges, E. (Eugenie), Pavelka, M. (Marian), Peichl, M. (Matthias), Pendall, E. (Elise), Phillips, R. P. (Richard P.), Pilegaard, K. (Kim), Pirk, N. (Norbert), Posse, G. (Gabriela), Powell, T. (Thomas), Prasse, H. (Heiko), Prober, S. M. (Suzanne M.), Rambal, S. (Serge), Rannik, U. (Ullar), Raz-Yaseef, N. (Naama), Reed, D. (David), de Dios, V. R. (Victor Resco), Restrepo-Coupe, N. (Natalia), Reverter, B. R. (Borja R.), Roland, M. (Marilyn), Sabbatini, S. (Simone), Sachs, T. (Torsten), Saleska, S. R. (Scott R.), Sanchez-Canete, E. P. (Enrique P.), Sanchez-Mejia, Z. M. (Zulia M.), Schmid, H. P. (Hans Peter), Schmidt, M. (Marius), Schneider, K. (Karl), Schrader, F. (Frederik), Schroder, I. (Ivan), Scott, R. L. (Russell L.), Sedlak, P. (Pavel), Serrano-Ortiz, P. (Penelope), Shao, C. (Changliang), Shi, P. (Peili), Shironya, I. (Ivan), Siebicke, L. (Lukas), Sigut, L. (Ladislav), Silberstein, R. (Richard), Sirca, C. (Costantino), Spano, D. (Donatella), Steinbrecher, R. (Rainer), Stevens, R. M. (Robert M.), Sturtevant, C. (Cove), Suyker, A. (Andy), Tagesson, T. (Torbern), Takanashi, S. (Satoru), Tang, Y. (Yanhong), Tapper, N. (Nigel), Thom, J. (Jonathan), Tiedemann, F. (Frank), Tomassucci, M. (Michele), Tuovinen, J.-P. (Juha-Pekka), Urbanski, S. (Shawn), Valentini, R. (Riccardo), van der Molen, M. (Michiel), van Gorsel, E. (Eva), van Huissteden, K. (Ko), Varlagin, A. (Andrej), Verfaillie, J. (Joseph), Vesala, T. (Timo), Vincke, C. (Caroline), Vitale, D. (Domenico), Vygodskaya, N. (Natalia), Walker, J. P. (Jeffrey P.), Walter-Shea, E. (Elizabeth), Wang, H. (Huimin), Weber, R. (Robin), Westermann, S. (Sebastian), Wille, C. (Christian), Wofsy, S. (Steven), Wohlfahrt, G. (Georg), Wolf, S. (Sebastian), Woodgate, W. (William), Li, Y. (Yuelin), Zampedri, R. (Roberto), Zhang, J. (Junhui), Zhou, G. (Guoyi), Zona, D. (Donatella), Agarwal, D. (Deb), Biraud, S. (Sebastien), Torn, M. (Margaret), and Papale, D. (Dario)

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

31. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author

Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D, Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, and Papale D

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

32. Partitioning European grassland net ecosystem CO 2 exchange into gross primary productivity and ecosystem respiration using light response function analysis

Author

Gilmanov, T.G., Soussana, J.F., Aires, L., Allard, V., Ammann, C., Balzarolo, M., Barcza, Z., Bernhofer, C., Campbell, C.L., Cernusca, A., Cescatti, A., Clifton-Brown, J., Dirks, B.O.M., Dore, S., Eugster, W., Fuhrer, J., Gimeno, C., Gruenwald, T., Haszpra, L., Hensen, A., Ibrom, A., Jacobs, A.F.G., Jones, M.B., Lanigan, G., Laurila, T., Lohila, A., G.Manca, Marcolla, B., Nagy, Z., Pilegaard, K., Pinter, K., Pio, C., Raschi, A., Rogiers, N., Sanz, M.J., Stefani, P., Sutton, M., Tuba, Z., Valentini, R., Williams, M.L., and Wohlfahrt, G.

Published
2007
Full Text
View/download PDF

33. Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

Author

Carotenuto, F., Georgiadis, T., Gioli, B., Leyronas, C., Morris, C. E., Nardino, M., Wohlfahrt, G., Miglietta, F., Institute of Ecology, Technische Universität Berlin (TU), Istituto di Biometeorologia [Firenze] (IBIMET), Consiglio Nazionale delle Ricerche (CNR), Unité de Pathologie Végétale (PV), Institut National de la Recherche Agronomique (INRA), FoxLab [Italia], Consiglio Nazionale delle Ricerche (CNR)-Fondazione Edmund Mach - Edmund Mach Foundation [Italie] (FEM), Aix Marseille Université (AMU), European Project: 286079, Technical University of Berlin / Technische Universität Berlin (TU), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), and National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR)-Fondazione Edmund Mach - Edmund Mach Foundation [Italie] (FEM)

Subjects
0301 basic medicine, Mediterranean climate, Atmospheric Science, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, prairie méditérrannéenne, échange surface atmosphère, microbial ecology, Atmospheric sciences, complex mixtures, 01 natural sciences, Grassland, pseudomonas-syringae, modelling, lcsh:Chemistry, Atmosphere, bioaérosol, 03 medical and health sciences, aerial dispersal, Abundance (ecology), flux-gradient technique, atmospheric dispersion, Precipitation, modélisation, dispersion atmosphérique, 0105 earth and related environmental sciences, particulate matter, geography, écologie microbienne, geography.geographical_feature_category, Condensation, impact climatique, 15. Life on land, lcsh:QC1-999, Aerosol, flux microbiens, 030104 developmental biology, lcsh:QD1-999, 13. Climate action, Ice nucleus, Environmental science, biological aerosol-particles, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, lcsh:Physics
Abstract

We thank the staff of the INRAE Experimental facilities of the Plant Pathology research unit (IEPV, https://doi.org/10.15454/8DGF-QF70) for their involvement in field experiments; International audience; Microbial aerosols (mainly composed by bacterial and fungal cells), may constitute up to 74 % of the total aerosol volume. These biological aerosols are relevant not only from the point of view of the dispersion of pathogenic species, but also due to the potential geochemical implications. Some bacteria and fungi may, in fact, serve as cloud condensation or ice nuclei, potentially affecting cloud formation and precipitation and are active at higher temperatures compared to their, much more intensively studied, inorganic counterparts. Simulations of the impact of microbial aerosols on climate are still hindered by the lack of information regarding their emissions from ground sources. This work tackles this knowledge gap by (i) applying a rigorous micrometeorological approach to the estimation of microbial net fluxes above a Mediterranean grassland and (ii) developing a deterministic model to estimate these emissions on the basis of a few easily recovered meteorological parameters (the PLAnET model). The grassland itself is characterized by an abundance of positive net microbial fluxes and the model proves to be a promising tool capable of capturing the day-to-day variability in microbial fluxes with a relatively small bias and sufficient accuracy. PLAnET is still in its infancy and will benefit from future campaigns extending the available training dataset as well as the inclusion of ever more complex and critical phenomena affecting the release of microbial aerosol (such as rainfall). The model itself is also adaptable as an emission module for dispersion and chemical transport models, allowing to further explore the impact of microbial aerosols on the atmosphere and climate.

Published
2017

34. Gross Primary Productivity of Four European Ecosystems Constrained by Joint CO2 and COS Flux Measurements

Author

Spielmann, F. M., Wohlfahrt, G., Hammerle, A., Kitz, F., Migliavacca, M., Alberti, G., Ibrom, Andreas, El‐Madany, T. S., Gerdel, K., Moreno, G., Kolle, O., Karl, T., Peressotti, A., and Delle Vedove, G.

Subjects
flux partitioning, LRU, Atmospheric Composition and Structure, Biogeochemistry, Biogeosciences, Hydrology and Land Surface Studies, Research Letters, ERU, GPP, OCS, Biogeochemical Kinetics and Reaction Modeling, Oceanography: Biological and Chemical, Paleoceanography, Research Letter, Global Change, Biosphere/Atmosphere Interactions, Cryosphere, Biogeochemical Cycles, Processes, and Modeling, SDG 15 - Life on Land
Abstract

Gross primary productivity (GPP), the gross uptake of carbon dioxide (CO2) by plant photosynthesis, is the primary driver of the land carbon sink, which presently removes around one quarter of the anthropogenic CO2 emissions each year. GPP, however, cannot be measured directly and the resulting uncertainty undermines our ability to project the magnitude of the future land carbon sink. Carbonyl sulfide (COS) has been proposed as an independent proxy for GPP as it diffuses into leaves in a fashion very similar to CO2, but in contrast to the latter is generally not emitted. Here we use concurrent ecosystem‐scale flux measurements of CO2 and COS at four European biomes for a joint constraint on CO2 flux partitioning. The resulting GPP estimates generally agree with classical approaches relying exclusively on CO2 fluxes but indicate a systematic underestimation under low light conditions, demonstrating the importance of using multiple approaches for constraining present‐day GPP., Key Points Traditionally gross primary productivity is inferred from ecosystem‐scale CO2 flux measurementsThe proposed joint assimilation of CO2 and COS flux measurements avoids the need to specify the leaf relative uptake rate of COS a prioriThe additional information content of ecosystem‐scale COS flux measurements increases inferred gross primary productivity estimates

Published
2019

36. Atmospheric CO2 Exchange of a Small Mountain Lake: Limitations of Eddy Covariance and Boundary Layer Modeling Methods in Complex Terrain.

Author

Scholz, K., Ejarque, E., Hammerle, A., Kainz, M., Schelker, J., and Wohlfahrt, G.

Subjects
ATMOSPHERIC carbon dioxide, EDDY flux, MOUNTAINS, WINDS
Abstract

Lakes receive and transform significant amounts of terrestrial carbon and are often considered a source of atmospheric carbon dioxide (CO2). Yet, continuous direct measurements of lake‐atmosphere CO2 exchange with high temporal resolution are sparse. In this study, we measured the CO2 exchange of a mountain lake in the eastern Austrian Alps continuously for one year using the eddy covariance (EC) and the boundary layer model (BLM) approaches. Results from both the EC and the BLM methods indicated the lake to be a small source of atmospheric CO2 with highest emissions in fall. EC flux measurements were affected by low‐frequency contributions especially during low wind conditions. The CO2 concentration gradient at the air‐water interface decreased during night‐time due to an increase in atmospheric CO2 above the lake, likely caused by cold and CO2‐rich air draining from the surrounding land. Consequently, BLM fluxes were lower during night‐time than during daytime. This diel pattern was lacking in the EC flux measurements because the EC instruments deployed at the shore of the lake did not capture low nocturnal lake CO2 fluxes due to the local wind regime. Overall, this study illustrates the effect of the surrounding landscape on lake‐atmosphere flux measurements. We conclude that estimating CO2 evasion from lakes situated in complex topography needs to explicitly account for biases in EC flux measurements caused by low‐frequency contributions and local wind regimes. Plain Language Summary: Lakes and rivers are an important link in the global carbon cycle transporting carbon from the land to the oceans. However, part of the carbon entering the water is stored in lake sediments or released from the water into the atmosphere as carbon dioxide (CO2). Therefore, lakes are considered important sources of atmospheric CO2, yet continuous direct measurements of this water‐air CO2 exchange are sparse. In this study, we used two different methods to measure the CO2 exchange of a small lake in the Austrian Alps for an entire year. We found that during the ice covered period, in spring, and in summer the CO2 exchange between lake and air was small. In fall, the lake released CO2 at higher rates. Overall, the lake was only a small source of CO2. We also found significant differences in the results of the two measuring methods. Those results demonstrated that measurements of lake‐atmosphere CO2 exchange are complex and—especially if the lake is small and situated in a mountainous landscape—the surrounding land can influence the measurements. Key Points: We estimated the carbon dioxide (CO2) exchange of a small mountain lake using the eddy covariance and the boundary layer model approachesCO2 fluxes were small and variable, and the variation in local atmospheric CO2 concentration was an important driver of lake CO2 exchangeThe study demonstrates that the influence of the surrounding land has to be considered in lake‐atmosphere flux measurements [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

37. On the relationship between ecosystem-scale hyperspectral reflectance and CO2 exchange in European mountain grasslands

Author

Balzarolo, Manuela, Vescovo, L., Hammerle, A., Gianelle, D., Papale, D., Tomelleri, E., and Wohlfahrt, G.

Subjects
lcsh:Geology, Chemistry, lcsh:QH501-531, Hyperspectral reflectance, Settore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURA, Physics, lcsh:QH540-549.5, lcsh:QE1-996.5, lcsh:Life, Carbon fluxes, lcsh:Ecology, Biology, Grassland
Abstract

In this paper we explore the skill of hyperspectral reflectance measurements and vegetation indices (VIs) derived from these in estimating carbon dioxide (CO2) fluxes of grasslands. Hyperspectral reflectance data, CO2 fluxes and biophysical parameters were measured at three grassland sites located in European mountain regions using standardized protocols. The relationships between CO2 fluxes, ecophysiological variables, traditional VIs and VIs derived using all two-band combinations of wavelengths available from the whole hyperspectral data space were analysed. We found that VIs derived from hyperspectral data generally explained a large fraction of the variability in the investigated dependent variables but differed in their ability to estimate midday and daily average CO2 fluxes and various derived ecophysiological parameters. Relationships between VIs and CO2 fluxes and ecophysiological parameters were site-specific, likely due to differences in soils, vegetation parameters and environmental conditions. Chlorophyll and water-content-related VIs explained the largest fraction of variability in most of the dependent variables. Band selection based on a combination of a genetic algorithm with random forests (GA–rF) confirmed that it is difficult to select a universal band region suitable across the investigated ecosystems. Our findings have major implications for upscaling terrestrial CO2 fluxes to larger regions and for remote- and proximal-sensing sampling and analysis strategies and call for more cross-site synthesis studies linking ground-based spectral reflectance with ecosystem-scale CO2 fluxes.

Published
2018

38. Early stage litter decomposition across biomes

Author

Djukic, I, Kepfer-Rojas, S, Schmidt, IK, Larsen, KS, Beier, C, Berg, B, Verheyen, K, Caliman, A, Paquette, A, Gutiérrez-Girón, A, Humber, A, Valdecantos, A, Petraglia, A, Alexander, H, Augustaitis, A, Saillard, A, Fernández, ACR, Sousa, AI, Lillebø, AI, da Rocha Gripp, A, Francez, AJ, Fischer, A, Bohner, A, Malyshev, A, Andrić, A, Smith, A, Stanisci, A, Seres, A, Schmidt, A, Avila, A, Probst, A, Ouin, A, Khuroo, AA, Verstraeten, A, Palabral-Aguilera, AN, Stefanski, A, Gaxiola, A, Muys, B, Bosman, B, Ahrends, B, Parker, B, Sattler, B, Yang, B, Juráni, B, Erschbamer, B, Ortiz, CER, Christiansen, CT, Carol Adair, E, Meredieu, C, Mony, C, Nock, CA, Chen, CL, Wang, CP, Baum, C, Rixen, C, Delire, C, Piscart, C, Andrews, C, Rebmann, C, Branquinho, C, Polyanskaya, D, Delgado, DF, Wundram, D, Radeideh, D, Ordóñez-Regil, E, Crawford, E, Preda, E, Tropina, E, Groner, E, Lucot, E, Hornung, E, Gacia, E, Lévesque, E, Benedito, E, Davydov, EA, Ampoorter, E, Bolzan, FP, Varela, F, Kristöfel, F, Maestre, FT, Maunoury-Danger, F, Hofhansl, F, Kitz, F, Sutter, F, Cuesta, F, de Almeida Lobo, F, de Souza, FL, Berninger, F, Zehetner, F, Wohlfahrt, G, Vourlitis, G, Carreño-Rocabado, G, Arena, G, Pinha, GD, González, G, Canut, G, Lee, H, Verbeeck, H, Auge, H, and Pauli, H

Subjects
Environmental Sciences
Abstract

© 2018 Elsevier B.V. Through litter decomposition enormous amounts of carbon is emitted to the atmosphere. Numerous large-scale decomposition experiments have been conducted focusing on this fundamental soil process in order to understand the controls on the terrestrial carbon transfer to the atmosphere. However, previous studies were mostly based on site-specific litter and methodologies, adding major uncertainty to syntheses, comparisons and meta-analyses across different experiments and sites. In the TeaComposition initiative, the potential litter decomposition is investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from −9 to +26 °C MAT and from 60 to 3113 mm MAP) across different ecosystems. In this study we tested the effect of climate (temperature and moisture), litter type and land-use on early stage decomposition (3 months) across nine biomes. We show that litter quality was the predominant controlling factor in early stage litter decomposition, which explained about 65% of the variability in litter decomposition at a global scale. The effect of climate, on the other hand, was not litter specific and explained

Published
2018

40. Gross Primary Productivity of Four European Ecosystems Constrained by Joint CO 2 and COS Flux Measurements

Author

Spielmann, F. M., primary, Wohlfahrt, G., additional, Hammerle, A., additional, Kitz, F., additional, Migliavacca, M., additional, Alberti, G., additional, Ibrom, A., additional, El‐Madany, T. S., additional, Gerdel, K., additional, Moreno, G., additional, Kolle, O., additional, Karl, T., additional, Peressotti, A., additional, and Delle Vedove, G., additional

Published
2019
Full Text
View/download PDF

42. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, D., Acosta, M., Altimir, N., Arriga, N., Arrouays, D., Aubinet, M., Aurela, M., Ayres, E., López-Ballesteros, A., Barbaste, M., Berveiller, D., Biraud, S., Boukir, H., Brown, T., Brümmer, C., Buchmann, N., Burba, G., Carrara, A., Cescatti, A., Ceschia, E., Clement, R., Cremonese, E., Crill, E., Darenova, E., Dengel, S., D’Odorico, P., Filippa, G., Fleck, S., Fratini, G., Fuß, R., Gielen, B., Gogo, S., Grace, J., Graf, A., Grelle, A., Gross, P., Grünwald, T., Haapanala, S., Hehn, M., Heinesch, B., Heiskanen, J., Herbst, M., Herschlein, C., Hörtnagl, L., Hufkens, K., Ibrom, A., Jolivet, C., Joly, L., Jones, M., Migliavacca, M., Mölder, M., Montagnani, L., Moureaux, C., Nelson, D., Nemitz, E., Nicolini, G., Nilsson, M.B., Op de Beeck, M., Osborne, B., Löfvenius, M.O., Pavelka, M., Peichl, M., Peltola, O., Pihlatie, M., Pitacco, A., Pokorný, R., Pumpanen, J., Ratié, C., Rebmann, Corinna, Roland, M., Sabbatini, S., Saby, N.P.A., Saunders, M., Schmid, H.P., Schrumpf, M., Sedlák, P., Serrano Ortiz, P., Siebicke, L., Šigut, L., Silvennoinen, H., Simioni, G., Skiba, U., Sonnentag, O., Soudani, K., Soulé, P., Steinbrecher, R., Tallec, T., Thimonier, A., Tuittila, E.-S., Tuovinen, J.-P., Vestin, P., Vincent, G., Vincke, C., Vitale, D., Waldner, P., Weslien, P., Wingate, L., Wohlfahrt, G., Zahniser, M., Vesala, T., Franz, D., Acosta, M., Altimir, N., Arriga, N., Arrouays, D., Aubinet, M., Aurela, M., Ayres, E., López-Ballesteros, A., Barbaste, M., Berveiller, D., Biraud, S., Boukir, H., Brown, T., Brümmer, C., Buchmann, N., Burba, G., Carrara, A., Cescatti, A., Ceschia, E., Clement, R., Cremonese, E., Crill, E., Darenova, E., Dengel, S., D’Odorico, P., Filippa, G., Fleck, S., Fratini, G., Fuß, R., Gielen, B., Gogo, S., Grace, J., Graf, A., Grelle, A., Gross, P., Grünwald, T., Haapanala, S., Hehn, M., Heinesch, B., Heiskanen, J., Herbst, M., Herschlein, C., Hörtnagl, L., Hufkens, K., Ibrom, A., Jolivet, C., Joly, L., Jones, M., Migliavacca, M., Mölder, M., Montagnani, L., Moureaux, C., Nelson, D., Nemitz, E., Nicolini, G., Nilsson, M.B., Op de Beeck, M., Osborne, B., Löfvenius, M.O., Pavelka, M., Peichl, M., Peltola, O., Pihlatie, M., Pitacco, A., Pokorný, R., Pumpanen, J., Ratié, C., Rebmann, Corinna, Roland, M., Sabbatini, S., Saby, N.P.A., Saunders, M., Schmid, H.P., Schrumpf, M., Sedlák, P., Serrano Ortiz, P., Siebicke, L., Šigut, L., Silvennoinen, H., Simioni, G., Skiba, U., Sonnentag, O., Soudani, K., Soulé, P., Steinbrecher, R., Tallec, T., Thimonier, A., Tuittila, E.-S., Tuovinen, J.-P., Vestin, P., Vincent, G., Vincke, C., Vitale, D., Waldner, P., Weslien, P., Wingate, L., Wohlfahrt, G., Zahniser, M., and Vesala, T.

Abstract

Research infrastructures play a key role in launching a new generation of integrated long-term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO2, CH4, N2O, H2O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

43. ICOS eddy covariance flux-station site setup: a review

Author

Rebmann, Corinna, Aubinet, M., Schmid, H.P., Arriga, N., Aurela, M., Burba, G., Clement, R., de Ligne, A., Fratini, G., Gielen, B., Grace, J., Graf, A., Gross, P., Haapanala, S., Herbst, M., Hörtnagl, L., Ibrom, A., Joly, L., Kljun, N., Kolle, O., Kowalski, A., Lindroth, A., Loustau, D., Mammarella, I., Mauder, M., Merbold, L., Metzger, S., Mölder, M., Montagnani, L., Papale, D., Pavelka, M., Peichl, M., Roland, M., Serrano-Ortiz, P., Siebicke, L., Steinbrecher, R., Tuovinen, J.-P., Vesala, T., Wohlfahrt, G., Franz, D., Rebmann, Corinna, Aubinet, M., Schmid, H.P., Arriga, N., Aurela, M., Burba, G., Clement, R., de Ligne, A., Fratini, G., Gielen, B., Grace, J., Graf, A., Gross, P., Haapanala, S., Herbst, M., Hörtnagl, L., Ibrom, A., Joly, L., Kljun, N., Kolle, O., Kowalski, A., Lindroth, A., Loustau, D., Mammarella, I., Mauder, M., Merbold, L., Metzger, S., Mölder, M., Montagnani, L., Papale, D., Pavelka, M., Peichl, M., Roland, M., Serrano-Ortiz, P., Siebicke, L., Steinbrecher, R., Tuovinen, J.-P., Vesala, T., Wohlfahrt, G., and Franz, D.

Abstract

The Integrated Carbon Observation System Research Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features.

Published
2018

44. ICOS eddy covariance flux-station site setup: a review

Author

Rebmann, C., Aubinet, M., Scmid, HaPe, Arriga, N., Aurela, M., Burba, G., Clement, R., De Ligne, A., Fratini, G., Gielen, B., Grace, J., Graf, A., Gross, P., Haapanala, S., Herbst, M., Hörtnagl, L., Ibrom, Andreas, Joly, L., Kljun, N., Kolle, O, Kowalski, A., Lindroth, A., Loustau, D., Mammarella, I., Mauder, M., Merbold, L., Metzger, S., Mölder, M., Montagnani, L., Papale, D., Pavelka, M., Peichl, M., Roland, M., Serrano-Ortiz, P., Siebicke, L., Steinbrecher, R., Tuovinen, J., Vesala, T., Wohlfahrt, G., Franz, D., Rebmann, C., Aubinet, M., Scmid, HaPe, Arriga, N., Aurela, M., Burba, G., Clement, R., De Ligne, A., Fratini, G., Gielen, B., Grace, J., Graf, A., Gross, P., Haapanala, S., Herbst, M., Hörtnagl, L., Ibrom, Andreas, Joly, L., Kljun, N., Kolle, O, Kowalski, A., Lindroth, A., Loustau, D., Mammarella, I., Mauder, M., Merbold, L., Metzger, S., Mölder, M., Montagnani, L., Papale, D., Pavelka, M., Peichl, M., Roland, M., Serrano-Ortiz, P., Siebicke, L., Steinbrecher, R., Tuovinen, J., Vesala, T., Wohlfahrt, G., and Franz, D.

Abstract

The Integrated Carbon Observation System Research Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features.

Published
2018

46. On the choice of the driving temperature for eddy-covariance carbon dioxide flux partitioning

Author

Lasslop, G., Migliavacca, M., Bohrer, G., Reichstein, M., Bahn, M., Ibrom, A., Jacobs, C., Kolari, P., Papale, D., Vesala, T., Wohlfahrt, G., Cescatti, A., Department of Physics, Ecosystem processes (INAR Forest Sciences), and Micrometeorology and biogeochemical cycles

Subjects
0106 biological sciences, 10515, Biophysics - Biocybernetics, eddy-covariance measurement mathematical and computer techniques, 010504 meteorology & atmospheric sciences, lcsh:Life, 10060, Biochemistry studies - General, SCOTS PINE FOREST, 04500, Mathematical biology and statistical methods, soil respiration, disentangle photosynthetic flux, 01 natural sciences, CO2 EXCHANGE, SDG 13 - Climate Action, danish beech forest, 4112 Forestry, lcsh:QE1-996.5, deciduous forest, global convergence, air temperature, flux partitioning algorithm mathematical and computer techniques, GLOBAL CONVERGENCE, carbon dioxide 124-38-9, SOIL RESPIRATION, DANISH BEECH FOREST, soil temperature, net ecosystem exchange, SEASONAL-VARIATION, education, ENVIRONMENTAL CONTROLS, 114 Physical sciences, scots pine forest, environmental biology - General and methods [07502, Ecology], Models and Simulations, water-vapor exchange, lcsh:QH540-549.5, environmental controls, simple empirical model mathematical and computer techniques, 0105 earth and related environmental sciences, WIMEK, NET ECOSYSTEM EXCHANGE, co2 exchange, Computational Biology, 15. Life on land, DECIDUOUS FOREST, Climate Resilience, lcsh:Geology, lcsh:QH501-531, Klimaatbestendigheid, 13. Climate action, climate sensitivity, respiratory flux, lcsh:Ecology, WATER-VAPOR EXCHANGE, seasonal-variation, Environmental Sciences, 010606 plant biology & botany
Abstract

Networks that merge and harmonise eddy-covariance measurements from many different parts of the world have become an important observational resource for ecosystem science. Empirical algorithms have been developed which combine direct observations of the net ecosystem exchange of carbon dioxide with simple empirical models to disentangle photosynthetic (GPP) and respiratory fluxes (Reco). The increasing use of these estimates for the analysis of climate sensitivities, model evaluation and calibration demands a thorough understanding of assumptions in the analysis process and the resulting uncertainties of the partitioned fluxes. The semi-empirical models used in flux partitioning algorithms require temperature observations as input, but as respiration takes place in many parts of an ecosystem, it is unclear which temperature input – air, surface, bole, or soil at a specific depth – should be used. This choice is a source of uncertainty and potential biases. In this study, we analysed the correlation between different temperature observations and nighttime NEE (which equals nighttime respiration) across FLUXNET sites to understand the potential of the different temperature observations as input for the flux partitioning model. We found that the differences in the correlation between different temperature data streams and nighttime NEE are small and depend on the selection of sites. We investigated the effects of the choice of the temperature data by running two flux partitioning algorithms with air and soil temperature. We found the time lag (phase shift) between air and soil temperatures explains the differences in the GPP and Reco estimates when using either air or soil temperatures for flux partitioning. The impact of the source of temperature data on other derived ecosystem parameters was estimated, and the strongest impact was found for the temperature sensitivity. Overall, this study suggests that the choice between soil or air temperature must be made on site-by-site basis by analysing the correlation between temperature and nighttime NEE. We recommend using an ensemble of estimates based on different temperature observations to account for the uncertainty due to the choice of temperature and to assure the robustness of the temporal patterns of the derived variables.

Published
2012

47. Montane ecosystem productivity responds more to global circulation patterns than climatic trends

Author

Desai, A.R., Wohlfahrt, G., Zeeman, M.J., Katata, G., Eugster, W., Montagnani, L., Gianelle, D., Mauder, M., and Schmid, H.

Subjects
Atmospheric circulation, Earth sciences, Settore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURA, Orographic wind circulation, Ecosystem carbon uptake, Foehn, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ddc:550, Climate change, Climatic change and variability, Alpine ecology, Regional ecosystem productivity
Abstract

Regional ecosystem productivity is highly sensitive to inter-annual climate variability, both within and outside the primary carbon uptake period. However, Earth system models lack sufficient spatial scales and ecosystem processes to resolve how these processes may change in a warming climate. Here, we show, how for the European Alps, mid-latitude Atlantic ocean winter circulation anomalies drive high-altitude summer forest and grassland productivity, through feedbacks among orographic wind circulation patterns, snowfall, winter and spring temperatures, and vegetation activity. Therefore, to understand future global climate change influence to regional ecosystem productivity, Earth systems models need to focus on improvements towards topographic downscaling of changes in regional atmospheric circulation patterns and to lagged responses in vegetation dynamics to non-growing season climate anomalies., 植物生産力とそれに付随する生物地球化学循環は、局地的な気象現象の主要な駆動力として働く大気大循環における季節から10年スケールの変動パターンに強く依存する。将来の気候変動に対して、地域スケールの生態系生産力と植物季節がどのように応答するかを理解するには、大気循環と上層大気圧パターンの予測の不確実性が、平均気温または降水量の予測の不確実性を上回ることから、上記の短期・中期的な駆動力を統合した解釈が必要である。本研究では、地上気象・植物季節・フラックスタワー・衛星データ等と数値シミュレーションを用いて、大西洋上の2種類の対流圏気圧場のパターンがヨーロッパのフェーン(南風)の流れとどのように相互作用し、冬季の天候に影響するかを明らかにする。これらの効果は、北部・中央アルプスでの初期植物生育期間の応答に対する冬季の降雪と土壌温度の強い影響によって、春季の生態系生産力と植物季節に重要な影響をおよぼす。大気循環の将来変化予測の改善は、気候変動に対する生態系の影響のより良い評価と気候的避難所の描写のために重要である。

Published
2016

48. Land use affects the net ecosystem CO2 exchange and its components in mountain grasslands

Author

Schmitt, M., Bahn, M., Wohlfahrt, G., Tappeiner, U., and Cernusca, A.

Subjects
lcsh:Geology, lcsh:QH501-531, lcsh:QH540-549.5, lcsh:QE1-996.5, lcsh:Life, lcsh:Ecology
Abstract

Changes in land use and management have been strongly affecting mountain grassland, however, their effects on the net ecosystem exchange of CO2 (NEE) and its components have not yet been well documented. We analysed chamber-based estimates of NEE, gross primary productivity (GPP), ecosystem respiration (R) and light use efficiency (LUE) of six mountain grasslands differing in land use and management, and thus site fertility, for the growing seasons of 2002 to 2008. The main findings of the study are that: (1) land use and management affected seasonal NEE, GPP and R, which all decreased from managed to unmanaged grasslands; (2) these changes were explained by differences in leaf area index (LAI), biomass and leaf-area-independent changes that were likely related to photosynthetic physiology; (3) diurnal variations of NEE were primarily controlled by photosynthetically active photon flux density and soil and air temperature; seasonal variations were associated with changes in LAI; (4) parameters of light response curves were generally closely related to each other, and the ratio of R at a reference temperature/ maximum GPP was nearly constant across the sites; (5) similarly to our study, maximum GPP and R for other grasslands on the globe decreased with decreasing land use intensity, while their ratio remained remarkably constant. We conclude that decreasing intensity of management and, in particular, abandonment of mountain grassland lead to a decrease in NEE and its component processes. While GPP and R are generally closely coupled during most of the growing season, GPP is more immediately and strongly affected by land management (mowing, grazing) and season. This suggests that management and growing season length, as well as their possible future changes, may play an important role for the annual C balance of mountain grassland.

Published
2010

Catalog

Books, media, physical & digital resources
See catalog results