Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments

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Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments. / Vicca, S.; Bahn, M.; Estiarte, M.; van Loon, E.E.; Vargas, R.; Alberti, G.; Ambus, Per Lennart; Arain, A.M.; Beier, C.; Bentley, L.P.; Borken, W.; Buchmann, N.; Collins, S.L.; de Dato, G.; Dukes, J.S.; Escolar, C.; Fay, P.; Guidolotti, G.; Hanson, P.J.; Kahmen, A.; Kröel-Dulay, G.; Ladreiter-Knauss, T.; Larsen, Klaus Steenberg; Lellei-Kovacs, E.; Lebrija-Trejos, E.; Maestre, F.T.; Marhan, S.; Marshall, M.; Meir, P.; Miao, Y.; Muhr, J.; Niklaus, P.A.; Ogaya, R.; Penuelas, J.; Poll, C.; Rustad, L.E.; Savage, K.; Schindlbacher, A.; Schmidt, I.K.; Smith, A.R; Sotta, E.D.; Suseela, V.; Tietema, A.; van Gestel, N.; van Straaten, O.; Wan, S.; Weber, U.; Janssens, Ivan A.

I: Biogeosciences, Bind 11, 2014, s. 2991-3013.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Vicca, S, Bahn, M, Estiarte, M, van Loon, EE, Vargas, R, Alberti, G, Ambus, PL, Arain, AM, Beier, C, Bentley, LP, Borken, W, Buchmann, N, Collins, SL, de Dato, G, Dukes, JS, Escolar, C, Fay, P, Guidolotti, G, Hanson, PJ, Kahmen, A, Kröel-Dulay, G, Ladreiter-Knauss, T, Larsen, KS, Lellei-Kovacs, E, Lebrija-Trejos, E, Maestre, FT, Marhan, S, Marshall, M, Meir, P, Miao, Y, Muhr, J, Niklaus, PA, Ogaya, R, Penuelas, J, Poll, C, Rustad, LE, Savage, K, Schindlbacher, A, Schmidt, IK, Smith, AR, Sotta, ED, Suseela, V, Tietema, A, van Gestel, N, van Straaten, O, Wan, S, Weber, U & Janssens, IA 2014, 'Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments', Biogeosciences, bind 11, s. 2991-3013. https://doi.org/10.5194/bg-11-2991-2014

APA

Vicca, S., Bahn, M., Estiarte, M., van Loon, E. E., Vargas, R., Alberti, G., Ambus, P. L., Arain, A. M., Beier, C., Bentley, L. P., Borken, W., Buchmann, N., Collins, S. L., de Dato, G., Dukes, J. S., Escolar, C., Fay, P., Guidolotti, G., Hanson, P. J., ... Janssens, I. A. (2014). Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments. Biogeosciences, 11, 2991-3013. https://doi.org/10.5194/bg-11-2991-2014

Vancouver

Vicca S, Bahn M, Estiarte M, van Loon EE, Vargas R, Alberti G o.a. Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments. Biogeosciences. 2014;11:2991-3013. https://doi.org/10.5194/bg-11-2991-2014

Author

Vicca, S. ; Bahn, M. ; Estiarte, M. ; van Loon, E.E. ; Vargas, R. ; Alberti, G. ; Ambus, Per Lennart ; Arain, A.M. ; Beier, C. ; Bentley, L.P. ; Borken, W. ; Buchmann, N. ; Collins, S.L. ; de Dato, G. ; Dukes, J.S. ; Escolar, C. ; Fay, P. ; Guidolotti, G. ; Hanson, P.J. ; Kahmen, A. ; Kröel-Dulay, G. ; Ladreiter-Knauss, T. ; Larsen, Klaus Steenberg ; Lellei-Kovacs, E. ; Lebrija-Trejos, E. ; Maestre, F.T. ; Marhan, S. ; Marshall, M. ; Meir, P. ; Miao, Y. ; Muhr, J. ; Niklaus, P.A. ; Ogaya, R. ; Penuelas, J. ; Poll, C. ; Rustad, L.E. ; Savage, K. ; Schindlbacher, A. ; Schmidt, I.K. ; Smith, A.R ; Sotta, E.D. ; Suseela, V. ; Tietema, A. ; van Gestel, N. ; van Straaten, O. ; Wan, S. ; Weber, U. ; Janssens, Ivan A. / Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments. I: Biogeosciences. 2014 ; Bind 11. s. 2991-3013.

Bibtex

@article{4909b6d0a6304dbfb8b3ab5988516506,
title = "Can current moisture responses predict soil CO2 efflux under altered precipitation regimes?: A synthesis of manipulation experiments",
abstract = "As a key component of the carbon cycle, soil CO2 efflux (SCE) is being increasingly studied to improve our mechanistic understanding of this important carbon flux. Predicting ecosystem responses to climate change often depends on extrapolation of current relationships between ecosystem processes and their climatic drivers to conditions not yet experienced by the ecosystem. This raises the question of to what extent these relationships remain unaltered beyond the current climatic window for which observations are available to constrain the relationships. Here, we evaluate whethercurrent responses of SCE to fluctuations in soil temperatureand soil water content can be used to predict SCE under alteredrainfall patterns. Of the 58 experiments for which we gathered SCE data, 20 were discarded because either too few data were available or inconsistencies precluded their incorporation in the analyses. The 38 remaining experiments were used to test the hypothesis that a model parameterized with data from the control plots (using soil temperature and water content as predictor variables) could adequately predict SCE measured in the manipulated treatment. Only for 7 of these 38 experiments was this hypothesis rejected. Importantly, these were the experiments with the most reliable datasets, i.e., those providing high-frequency measurements of SCE. Regression tree analysis demonstrated that our hypothesis could be rejected only for experiments with measurement intervals of less than 11 days, and was not rejected for any of the 24 experiments with larger measurement intervals. This highlights the importance of high-frequency measurements when studying effects of altered precipitation on SCE, probably because infrequent measurement schemes have insufficient capacity to detect shifts in the climate dependencies of SCE. Hence, the most justified answer to the question of whether current moisture responses of SCE can be extrapolated to predict SCE under altered precipitation regimesis “no” – as based on the most reliable data sets available.We strongly recommend that future experiments focus more strongly on establishing response functions across a broader range of precipitation regimes and soil moisture conditions. Such experiments should make accurate measurements of water availability, should conduct high-frequency SCE measurements, and should consider both instantaneous responses and the potential legacy effects of climate extremes. This is important, because with the novel approach presented here, we demonstrated that, at least for some ecosystems, current moisture responses could not be extrapolated to predict SCEunder altered rainfall conditions.",
keywords = "moisture, RESPONSES, soil, soil respiration, respiration, precipitation, MANIPULATION",
author = "S. Vicca and M. Bahn and M. Estiarte and {van Loon}, E.E. and R. Vargas and G. Alberti and Ambus, {Per Lennart} and A.M. Arain and C. Beier and L.P. Bentley and W. Borken and N. Buchmann and S.L. Collins and {de Dato}, G. and J.S. Dukes and C. Escolar and P. Fay and G. Guidolotti and P.J. Hanson and A. Kahmen and G. Kr{\"o}el-Dulay and T. Ladreiter-Knauss and Larsen, {Klaus Steenberg} and E. Lellei-Kovacs and E. Lebrija-Trejos and F.T. Maestre and S. Marhan and M. Marshall and P. Meir and Y. Miao and J. Muhr and P.A. Niklaus and R. Ogaya and J. Penuelas and C. Poll and L.E. Rustad and K. Savage and A. Schindlbacher and I.K. Schmidt and A.R Smith and E.D. Sotta and V. Suseela and A. Tietema and {van Gestel}, N. and {van Straaten}, O. and S. Wan and U. Weber and Janssens, {Ivan A.}",
note = "Corrigendum: https://doi.org/10.5194/bg-11-3307-2014 ",
year = "2014",
doi = "10.5194/bg-11-2991-2014",
language = "English",
volume = "11",
pages = "2991--3013",
journal = "Biogeosciences",
issn = "1726-4170",
publisher = "Copernicus GmbH",

}

RIS

TY - JOUR

T1 - Can current moisture responses predict soil CO2 efflux under altered precipitation regimes?

T2 - A synthesis of manipulation experiments

AU - Vicca, S.

AU - Bahn, M.

AU - Estiarte, M.

AU - van Loon, E.E.

AU - Vargas, R.

AU - Alberti, G.

AU - Ambus, Per Lennart

AU - Arain, A.M.

AU - Beier, C.

AU - Bentley, L.P.

AU - Borken, W.

AU - Buchmann, N.

AU - Collins, S.L.

AU - de Dato, G.

AU - Dukes, J.S.

AU - Escolar, C.

AU - Fay, P.

AU - Guidolotti, G.

AU - Hanson, P.J.

AU - Kahmen, A.

AU - Kröel-Dulay, G.

AU - Ladreiter-Knauss, T.

AU - Larsen, Klaus Steenberg

AU - Lellei-Kovacs, E.

AU - Lebrija-Trejos, E.

AU - Maestre, F.T.

AU - Marhan, S.

AU - Marshall, M.

AU - Meir, P.

AU - Miao, Y.

AU - Muhr, J.

AU - Niklaus, P.A.

AU - Ogaya, R.

AU - Penuelas, J.

AU - Poll, C.

AU - Rustad, L.E.

AU - Savage, K.

AU - Schindlbacher, A.

AU - Schmidt, I.K.

AU - Smith, A.R

AU - Sotta, E.D.

AU - Suseela, V.

AU - Tietema, A.

AU - van Gestel, N.

AU - van Straaten, O.

AU - Wan, S.

AU - Weber, U.

AU - Janssens, Ivan A.

N1 - Corrigendum: https://doi.org/10.5194/bg-11-3307-2014

PY - 2014

Y1 - 2014

N2 - As a key component of the carbon cycle, soil CO2 efflux (SCE) is being increasingly studied to improve our mechanistic understanding of this important carbon flux. Predicting ecosystem responses to climate change often depends on extrapolation of current relationships between ecosystem processes and their climatic drivers to conditions not yet experienced by the ecosystem. This raises the question of to what extent these relationships remain unaltered beyond the current climatic window for which observations are available to constrain the relationships. Here, we evaluate whethercurrent responses of SCE to fluctuations in soil temperatureand soil water content can be used to predict SCE under alteredrainfall patterns. Of the 58 experiments for which we gathered SCE data, 20 were discarded because either too few data were available or inconsistencies precluded their incorporation in the analyses. The 38 remaining experiments were used to test the hypothesis that a model parameterized with data from the control plots (using soil temperature and water content as predictor variables) could adequately predict SCE measured in the manipulated treatment. Only for 7 of these 38 experiments was this hypothesis rejected. Importantly, these were the experiments with the most reliable datasets, i.e., those providing high-frequency measurements of SCE. Regression tree analysis demonstrated that our hypothesis could be rejected only for experiments with measurement intervals of less than 11 days, and was not rejected for any of the 24 experiments with larger measurement intervals. This highlights the importance of high-frequency measurements when studying effects of altered precipitation on SCE, probably because infrequent measurement schemes have insufficient capacity to detect shifts in the climate dependencies of SCE. Hence, the most justified answer to the question of whether current moisture responses of SCE can be extrapolated to predict SCE under altered precipitation regimesis “no” – as based on the most reliable data sets available.We strongly recommend that future experiments focus more strongly on establishing response functions across a broader range of precipitation regimes and soil moisture conditions. Such experiments should make accurate measurements of water availability, should conduct high-frequency SCE measurements, and should consider both instantaneous responses and the potential legacy effects of climate extremes. This is important, because with the novel approach presented here, we demonstrated that, at least for some ecosystems, current moisture responses could not be extrapolated to predict SCEunder altered rainfall conditions.

AB - As a key component of the carbon cycle, soil CO2 efflux (SCE) is being increasingly studied to improve our mechanistic understanding of this important carbon flux. Predicting ecosystem responses to climate change often depends on extrapolation of current relationships between ecosystem processes and their climatic drivers to conditions not yet experienced by the ecosystem. This raises the question of to what extent these relationships remain unaltered beyond the current climatic window for which observations are available to constrain the relationships. Here, we evaluate whethercurrent responses of SCE to fluctuations in soil temperatureand soil water content can be used to predict SCE under alteredrainfall patterns. Of the 58 experiments for which we gathered SCE data, 20 were discarded because either too few data were available or inconsistencies precluded their incorporation in the analyses. The 38 remaining experiments were used to test the hypothesis that a model parameterized with data from the control plots (using soil temperature and water content as predictor variables) could adequately predict SCE measured in the manipulated treatment. Only for 7 of these 38 experiments was this hypothesis rejected. Importantly, these were the experiments with the most reliable datasets, i.e., those providing high-frequency measurements of SCE. Regression tree analysis demonstrated that our hypothesis could be rejected only for experiments with measurement intervals of less than 11 days, and was not rejected for any of the 24 experiments with larger measurement intervals. This highlights the importance of high-frequency measurements when studying effects of altered precipitation on SCE, probably because infrequent measurement schemes have insufficient capacity to detect shifts in the climate dependencies of SCE. Hence, the most justified answer to the question of whether current moisture responses of SCE can be extrapolated to predict SCE under altered precipitation regimesis “no” – as based on the most reliable data sets available.We strongly recommend that future experiments focus more strongly on establishing response functions across a broader range of precipitation regimes and soil moisture conditions. Such experiments should make accurate measurements of water availability, should conduct high-frequency SCE measurements, and should consider both instantaneous responses and the potential legacy effects of climate extremes. This is important, because with the novel approach presented here, we demonstrated that, at least for some ecosystems, current moisture responses could not be extrapolated to predict SCEunder altered rainfall conditions.

KW - moisture

KW - RESPONSES

KW - soil

KW - soil respiration

KW - respiration

KW - precipitation

KW - MANIPULATION

UR - https://doi.org/10.5194/bg-11-3307-2014

U2 - 10.5194/bg-11-2991-2014

DO - 10.5194/bg-11-2991-2014

M3 - Journal article

VL - 11

SP - 2991

EP - 3013

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

ER -

ID: 129023471