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Faculty for Biology, Chemistry and Earth Sciences

Department Soil Ecology - Prof. Dr. Eva Lehndorff

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Vicca, S; Bahn, M; Estiarte, M; Alberti, G; Ambus, P; Arain, MA; Beier, C; Bentley, L; Borken, W; Buchmann, N; Collins, S; de Dato, G; Dukes, J; Escolar, C; Fay, P; Guidolotti, G; Hanson, P; Kahmen, A; Kroel-Dulay, G; Ladreiter-Knauss, T; Larsen, K; Lellei-Kovacs, E; Lebrija-Trejos, E; Maestre, FT; Marhan, S; Marshall, M; Meir, P; Miao, Y; Muhr, J; Niklaus, P; Ogaya, R; Penuelas, J; Poll, C; Rustad, L; Savage, K; Schindlbacher, A; Schmidt, IK; Smith, A; Sotta, E; Suseela, V; Tietema, A; van Gestel, N; van Loon, EE; van Straaten, O; Vargas, R; Wan, S; Weber, U; Janssens, I: Can current mosture responses of soil respiration be extrapolated into the future? A synthesis of precipitation manipulation experiments, Biogeosciences, 11, 2991-3013 (2014), doi:10.5194/bg-11-2991-2014
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 to what extent these relationships remain unaltered beyond the current climatic window for which observations are available to constrain the relationships. Here, we evaluate whether current responses of SCE to fluctuations in soil temperature and soil water content can be used to predict SCE under altered rainfall 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 seven of these 38 experiments, this hypothesis was rejected. Importantly, these were the experiments with the most reliable datasets, i.e., those providing high-frequency measurements of SCE. Accordingly, regression tree analysis demonstrated that measurement frequency was crucial; 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. 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, they require high-frequency SCE measurements and they should consider both instantaneous responses and the potential legacy effects of climate extremes. This is important, because we demonstrated that at least for some ecosystems, current moisture responses cannot be extrapolated to predict SCE under altered rainfall.
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