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024 7 _ |2 DOI
|a 10.2136/vzj2009.0152
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041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Environmental Sciences
084 _ _ |2 WoS
|a Soil Science
084 _ _ |2 WoS
|a Water Resources
100 1 _ |0 P:(DE-Juel1)129461
|a Graf, A.
|b 0
|u FZJ
245 _ _ |a Temporal Downscaling of Soil Carbon Dioxide Efflux Measurements Based on Time-Stable Spatial Patterns
260 _ _ |a Madison, Wis.
|b SSSA
|c 2011
300 _ _ |a 239 - 251
336 7 _ |a Journal Article
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a article
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440 _ 0 |0 10301
|a Vadose Zone Journal
|v 10
|x 1539-1663
|y 1
500 _ _ |3 POF3_Assignment on 2016-02-29
500 _ _ |a A. Graf and D. Schuttemeyer gratefully acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG) project "Links between local scale and catchment scale measurements and modelling of gas exchange processes over land surfaces." N. Prolingheuer, A. Schickling, M. Herbst, J.A. Huisman, B. Scharnagl, C. Steenpass, and H. Vereecken gratefully acknowledge financial support by the Transregional collaborative research center (SFB/TR) 32 "Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation" funded by the DFG. Instrument funding was provided by the Helmholtz project FLOWatch. We would like to thank Morton Canty and Carsten Montzka for processing the geodata condensed in the middle part of Fig. 1, as well as Friederike Beulshausen, Marta Burmistrow, Sina Egerer, Martin Hank, Christian Koyama, Hendrik Merbitz, Jan Rass, Anne Rosenkranz and Paul Wagner for additional help with the labor-intensive manual chamber measurements.
520 _ _ |a Soil CO2 efflux at a field site is often computed as the average of successive chamber measurements at several points to overcome the effects of spatial variability and microclimatic disturbances. As a consequence, the resulting data set has a coarser resolution in space (one average per site) and time than the raw data set. The deviations between raw measurements and the field average may provide additional insights, however, if they can be decomposed into a time-stable part, characterizing the spatial pattern of emission strengths, and a dynamic part, characterizing rapid changes in soil CO2 efflux. We evaluated data from several measurement campaigns in an agricultural landscape. First, we determined the persistence of spatial CO2 efflux patterns and found that >= 50% of spatial variance was stable for at least 1 d in all examined crop and field types. For fields where vegetation and gradients in soil properties determined the spatial variation in CO2 efflux, some correlation was still found after 10 d. In a next step, we removed the time-stable patterns from the raw time series. The resulting estimate of instantaneous area-average soil respiration closely resembled the conventional spatiotemporal field average on days without rapid changes in meteorologic conditions. On days with fluctuations of radiation and temperature, in contrast, soil respiration reacted on a time scale from instantaneous to about 1 h. Based on a discussion of potential mechanisms underlying these reactions for a wheat (Triticum aestivum L.) and a sugarbeet (Beta vulgaris L. ssp. vulgaris) stand, we suggest that the proposed downscaling methodology, in combination with existing decomposition techniques, may help to examine the short-term dependence of heterotrophic and root respiration on radiation, temperature, and rain.
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700 1 _ |0 P:(DE-HGF)0
|a Schickling, A.
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700 1 _ |0 P:(DE-HGF)0
|a Schmidt, M.
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700 1 _ |0 P:(DE-HGF)0
|a Schneider, K.
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700 1 _ |0 P:(DE-HGF)0
|a Schüttemeyer, D.
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700 1 _ |0 P:(DE-Juel1)129469
|a Herbst, M.
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700 1 _ |0 P:(DE-Juel1)129472
|a Huisman, J.A.
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700 1 _ |0 P:(DE-Juel1)VDB17057
|a Weihermüller, L.
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|a Scharnagl, B.
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700 1 _ |0 P:(DE-Juel1)VDB70177
|a Steenpass, C.
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700 1 _ |0 P:(DE-Juel1)VDB17076
|a Harms, R.
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700 1 _ |0 P:(DE-Juel1)129549
|a Vereecken, H.
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773 _ _ |0 PERI:(DE-600)2088189-7
|a 10.2136/vzj2009.0152
|g Vol. 10, p. 239 - 251
|p 239 - 251
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856 7 _ |u http://dx.doi.org/10.2136/vzj2009.0152
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