Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes
Soil respiration (SR) constitutes the largest flux of CO<sub>2</sub> 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...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2010-07-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/7/2147/2010/bg-7-2147-2010.pdf |
| _version_ | 1828384818850693120 |
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| author | 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 |
| author_facet | 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 |
| author_sort | M. Bahn |
| collection | DOAJ |
| description | Soil respiration (SR) constitutes the largest flux of CO<sub>2</sub> 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<sub>MAT</sub>), 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 (<i>Q</i><sub>10</sub>). We further show that for seasonally dry sites where annual precipitation (<i>P</i>) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR<sub>MAT</sub> corrected for a factor related to <i>P</i>/PET. Our finding indicates that it can be sufficient to measure SR<sub>MAT</sub> for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO<sub>2</sub> emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle. |
| first_indexed | 2024-12-10T05:09:46Z |
| format | Article |
| id | doaj.art-7371b3a114f54cf4aed62875fdae3cdb |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-10T05:09:46Z |
| publishDate | 2010-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-7371b3a114f54cf4aed62875fdae3cdb2022-12-22T02:01:08ZengCopernicus PublicationsBiogeosciences1726-41701726-41892010-07-01772147215710.5194/bg-7-2147-2010Soil respiration at mean annual temperature predicts annual total across vegetation types and biomesM. BahnM. ReichsteinE. A. DavidsonJ. GrünzweigM. JungM. S. CarboneD. EpronL. MissonY. NouvellonO. RoupsardK. SavageS. E. TrumboreC. GimenoJ. Curiel YusteJ. TangR. VargasI. A. JanssensSoil respiration (SR) constitutes the largest flux of CO<sub>2</sub> 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<sub>MAT</sub>), 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 (<i>Q</i><sub>10</sub>). We further show that for seasonally dry sites where annual precipitation (<i>P</i>) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR<sub>MAT</sub> corrected for a factor related to <i>P</i>/PET. Our finding indicates that it can be sufficient to measure SR<sub>MAT</sub> for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO<sub>2</sub> emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.http://www.biogeosciences.net/7/2147/2010/bg-7-2147-2010.pdf |
| spellingShingle | 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 Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes Biogeosciences |
| title | Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| title_full | Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| title_fullStr | Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| title_full_unstemmed | Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| title_short | Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| title_sort | soil respiration at mean annual temperature predicts annual total across vegetation types and biomes |
| url | http://www.biogeosciences.net/7/2147/2010/bg-7-2147-2010.pdf |
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