E. A. Davidson

Publications (6)10.72 Total impact

• Article: Diel patterns of autotrophic and heterotrophic respiration among phenological stages.

  K Savage, E A Davidson, J Tang
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  ABSTRACT: Improved understanding of the links between aboveground production and allocation of photosynthate to belowground processes and the temporal variation in those links is needed to interpret observations of belowground carbon cycling processes. Here, we show that combining a trenching manipulation with high-frequency soil respiration measurements in a temperate hardwood forest permitted identification of the temporally variable influence of roots on diel and seasonal patterns of soil respiration. The presence of roots in an untrenched plot caused larger daily amplitude and a 2-3 h delay in peak soil CO2 efflux relative to a root-free trenched plot. These effects cannot be explained by differences in soil temperature, and they were significant only when a canopy was present during the growing season. This experiment demonstrated that canopy processes affect soil CO2 efflux rates and patterns at hourly and seasonal time scales, and it provides evidence that root and microbial processes respond differently to environmental factors.
  Global Change Biology 04/2013; 19(4):1151-9. · 6.86 Impact Factor
• Article: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes.

  M Bahn, M Reichstein, E A Davidson, J Grünzweig, M Jung, M S Carbone, D Epron, L Misson, Y Nouvellon, O Roupsard, K Savage, S E Trumbore, C Gimeno, J Curiel Yuste, J Tang, R Vargas, I A Janssens
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  ABSTRACT: Soil respiration (SR) constitutes the largest flux of CO(2) from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SR(MAT)), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q(10)). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR(MAT) corrected for a factor related to P/PET. Our finding indicates that it can be sufficient to measure SR(MAT) for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO(2) emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.
  Biogeosciences 07/2010; 7(7):2147-2157. · 3.86 Impact Factor
• Source

  Available from: Susan E. Trumbore

  Article: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

  M. Bahn, M. Reichstein, E. A. Davidson, J. Grunzweig, M. Jung, M. S. Carbone, D. Epron, L. Misson, Y. Nouvellon, O. Roupsard, K. Savage, S. E. Trumbore, C. Gimeno, J. C. Yuste, J. Tang, R. Vargas, I. A. Janssens
  [show abstract] [hide abstract]
  ABSTRACT: Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SRMAT), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q(10)). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SRMAT corrected for a factor related to P/PET. Our finding indicates that it can be sufficient to measure SRMAT for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.
  Biogeosciences Discussions 11/2009; 7(7):2147-2157.
• Article: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

  Bahn M, Reichstein M, E. A. Davidson, Grünzweig J, Jung M, M. S. Carbone, Epron D, Misson L, Nouvellon Y, Roupsard O, Savage K, S. E. Trumbore, Gimeno C, J Curiel Yuste, Tang J, Vargas R, I. A. Janssens
  [show abstract] [hide abstract]
  ABSTRACT: Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. There still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 72 site-years for 58 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SR MAT), irrespective of the type of ecosystem and biome. This convergence is to be theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q10). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR MAT corrected for a factor related to P/PET. Our finding indicates that it is sufficient to measure SR MAT for obtaining a highly constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution and interannual variation of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatio-temporal resolution of a major component of the global carbon cycle.
  Biogeosciences Discussions. 01/2009;
• Article: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

  M. Bahn, M. Reichstein, E. A. Davidson, J. M. Grunzweig, Martin Jung, M. S. Carbone, D. Epron, L. Misson, Y. Nouvellon, O. Roupsard, K. Savage, S. Trumbore, C. Gimeno, J. C. Yuste, J Tang, Rodrigo Vargas, I. A. Janssens
  Biogeosciences, v.7, 2147-2157 (2010).
• Article: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

  M. Bahn, M. Reichstein, E. A. Davidson, J. Grunzweig, M Jung, M. S. Carbone, D. Epron, L. Misson, Y. Nouvellon, O. Roupsard, K. Savage, S. E. Trumbore, C. Gimeno, J Curiel Yuste, Jianwu Tang, R. Vargas, I. A. Janssens
  [show abstract] [hide abstract]
  ABSTRACT: Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SRMAT), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q10). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SRMAT corrected for a factor related to P/PET. Our finding indicates that it can be sufficient to measure SRMAT for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle. © The Authors, 2010. This article is distributed under the terms of the Creative Commons Attribution 3.0 License. The definitive version was published in Biogeosciences 7 (2010): 2147-2157, doi:10.5194/bg-7-2147-2010. Data synthesis was supported by the Austrian Science Fund (FWF) grant P18756-B16 to MB. MR acknowledges funding from the European Research Council to the QUASOM project (ERC-2007-StG-208516).