The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
On the ‘temperature sensitivity’ of soil respiration: Can we use the immeasurable to predict the unknown?
Open accessAbstract
The temperature dependence of soil respiration (R(S)) is widely used as a key characteristic of soils or organic matter fractions within soils, and in the context of global climatic change is often applied to infer likely responses of R(S) to warmer future conditions. However, the way in which these temperature dependencies are calculated, interpreted and implemented in ecosystem models requires careful consideration of possible artefacts and assumptions. We argue that more conceptual clarity in the reported relationships is needed to obtain meaningful meta-analyses and better constrained parameters informing ecosystem models. Our critical assessment of common methodologies shows that it is impossible to measure actual temperature response of R(S), and that a range of confounding effects creates the observed apparent temperature relations reported in the literature. Thus, any measureable temperature response function will likely fail to predict effects of climate change on R(s). For improving our understanding of R(S) in changing environments we need a better integration of the relationships between substrate supply and the soil biota, and of their long-term responses to changes in abiotic soil conditions. This is best achieved by experiments combining isotopic techniques and ecosystem manipulations, which allow a disentangling of abiotic and biotic factors underlying the temperature response of soil CO(2) efflux.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Temperature sensitivity of soil carbon decomposition and feedbacks to climate change
Davidson, E. A., & Janssens, I. A. (2006) · Nature · doi:10.1038/nature04514 · Cited by 6,919
Temperature-associated increases in the global soil respiration record
Bond-Lamberty, B., & Thomson, A. (2010) · Nature · doi:10.1038/nature08930 · Cited by 1,618
Carbon input to soil may decrease soil carbon content.
Fontaine, S., Bardoux, G., Abbadie, L., & Mariotti, A. (2004) · Ecology Letters · doi:10.1111/j.1461-0248.2004.00579.x · Cited by 814
Cited by
Conant, R. T., Ryan, M. G., Ågren, G. I., Birge, H. E., Davidson, E. A., Eliasson, P. E., Evans, S. E., Frey, S. D., Giardina, C. P., Hopkins, F. M., et al. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02496.x · Cited by 1,635
Synthesis and modeling perspectives of rhizosphere priming
Cheng, W., Parton, W. J., Gonzalez‐Meler, M. A., Phillips, R., Asao, S., McNickle, G. G., Brzostek, E., & Jastrow, J. D. (2014) · New Phytologist · doi:10.1111/nph.12440 · Cited by 606
Thermal adaptation of decomposer communities in warming soils
Bradford, M. A. (2013) · Frontiers in Microbiology · doi:10.3389/fmicb.2013.00333 · Cited by 379
Global spatiotemporal distribution of soil respiration modeled using a global database
Hashimoto, S., Carvalhais, N., Ito, A., Migliavacca, M., Nishina, K., & Reichstein, M. (2015) · Biogeosciences · doi:10.5194/bg-12-4121-2015 · Cited by 351
SOMPROF: A vertically explicit soil organic matter model
Braakhekke, M. C., Beer, C., Hoosbeek, M. R., Reichstein, M., Kruijt, B., Schrumpf, M., & Kabat, P. (2011) · Ecological Modelling · doi:10.1016/j.ecolmodel.2011.02.015 · Cited by 98
Metadata
- Authors
- Subke, J.-A., & Bahn, M.
- Venue
- Soil Biology and Biochemistry
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 42
- Issue
- 9
- Pages
- 1653-1656
- ISSN
- 0038-0717 (ISSN-L)
- OpenAlex
- W2125622718
- Cited by
- 181
- References
- 3
- FWCI
- 20.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the ‘temperature sensitivity’ of soil respiration: Can we use the immeasurable to predict the unknown? https://app.cochat.ai/papers/10.1016/j.soilbio.2010.05.026
- The paper
- Subke, J.-A., & Bahn, M. (2010). On the ‘temperature sensitivity’ of soil respiration: Can we use the immeasurable to predict the unknown? Soil Biology and Biochemistry. https://doi.org/10.1016/j.soilbio.2010.05.026
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.