The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Simple additive effects are rare: a quantitative review of plant biomass and soil process responses to combined manipulations of CO 2 and temperature
Open accessAbstract
In recent years, increased awareness of the potential interactions between rising atmospheric CO 2 concentrations ([ CO 2 ]) and temperature has illustrated the importance of multifactorial ecosystem manipulation experiments for validating Earth System models. To address the urgent need for increased understanding of responses in multifactorial experiments, this article synthesizes how ecosystem productivity and soil processes respond to combined warming and [ CO 2 ] manipulation, and compares it with those obtained in single factor [ CO 2 ] and temperature manipulation experiments. Across all combined elevated [ CO 2 ] and warming experiments, biomass production and soil respiration were typically enhanced. Responses to the combined treatment were more similar to those in the [ CO 2 ]‐only treatment than to those in the warming‐only treatment. In contrast to warming‐only experiments, both the combined and the [ CO 2 ]‐only treatments elicited larger stimulation of fine root biomass than of aboveground biomass, consistently stimulated soil respiration, and decreased foliar nitrogen (N) concentration. Nonetheless, mineral N availability declined less in the combined treatment than in the [ CO 2 ]‐only treatment, possibly due to the warming‐induced acceleration of decomposition, implying that progressive nitrogen limitation ( PNL ) may not occur as commonly as anticipated from single factor [ CO 2 ] treatment studies. Responses of total plant biomass, especially of aboveground biomass, revealed antagonistic interactions between elevated [ CO 2 ] and warming, i.e. the response to the combined treatment was usually less‐than‐additive. This implies that productivity projections might be overestimated when models are parameterized based on single factor responses. Our results highlight the need for more (and especially more long‐term) multifactor manipulation experiments. Because single factor CO 2 responses often dominated over warming responses in the combined treatments, our results also suggest that projected responses to future global warming in Earth System models should not be parameterized using single factor warming experiments.
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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
Self-citationNitrogen cycles: Past, present, and future
Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R. W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland, E. A., et al. (2004) · Biogeochemistry · doi:10.1007/s10533-004-0370-0 · Cited by 5,315
The meta-analysis of response ratios in experimental ecology
Hedges, L. V., Gurevitch, J., & Curtis, P. S. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1150:tmaorr]2.0.co;2 · Cited by 4,704 · cited 2×
“As in conventional meta-analysis, each individual observation was weighted by the reciprocal of the mixed-model variance (Hedges et al., 1999).”
BackgroundMethodClimate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison
Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., et al. (2006) · Journal of Climate · doi:10.1175/jcli3800.1 · Cited by 2,902
Stability of organic carbon in deep soil layers controlled by fresh carbon supply
Fontaine, S., Barot, S., Barré, P., Bdioui, N., Mary, B., & Rumpel, C. (2007) · Nature · doi:10.1038/nature06275 · Cited by 2,279
Lichter, J., Barron, S. H., Bevacqua, C. E., Finzi, A. C., Irving, K. F., Stemmler, E. A., & Schlesinger, W. H. (2005) · Ecology · doi:10.1890/04-1205 · Cited by 134
Forest soil carbon cycle under elevated CO2 - a case of increased throughput?
Lukac, M., Lagomarsino, A., Moscatelli, M. C., De Angelis, P., Cotrufo, M. F., & Godbold, D. L. (2009) · Forestry · doi:10.1093/forestry/cpn041 · Cited by 38
Cited by
Dusenge, M. E., Duarte, A. G., & Way, D. A. (2019) · New Phytologist · doi:10.1111/nph.15283 · Cited by 1,116
Recent global decline of CO 2 fertilization effects on vegetation photosynthesis
Wang, S., Zhang, Y., Ju, W., Chen, J. M., Ciais, P., Cescatti, A., Sardans, J., Janssens, I. A., Wu, M., Berry, J. A., et al. (2020) · Science · doi:10.1126/science.abb7772 · Cited by 697
Self-citationA trade-off between plant and soil carbon storage under elevated CO2
Terrer, C., Phillips, R. P., Hungate, B. A., Rosende, J., Pett-Ridge, J., Craig, M. E., van Groenigen, K. J., Keenan, T. F., Sulman, B. N., Stocker, B. D., et al. (2021) · Nature · doi:10.1038/s41586-021-03306-8 · Cited by 690
Self-citationMycorrhizal association as a primary control of the CO 2 fertilization effect
Terrer, C., Vicca, S., Hungate, B. A., Phillips, R. P., & Prentice, I. C. (2016) · Science · doi:10.1126/science.aaf4610 · Cited by 639
Self-citationPlants and climate change: complexities and surprises
Parmesan, C., & Hanley, M. E. (2015) · Annals of Botany · doi:10.1093/aob/mcv169 · Cited by 620
Metadata
- Authors
- Dieleman, W. I. J., Vicca, S., Dijkstra, F. A., Hagedorn, F., Hovenden, M. J., Larsen, K. S., Morgan, J. A., Volder, A., Beier, C., Dukes, J. S., King, J., Leuzinger, S., Linder, S., Luo, Y., Oren, R., De Angelis, P., Tingey, D., Hoosbeek, M. R., & Janssens, I. A.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2012-06-27
- Volume
- 18
- Issue
- 9
- Pages
- 2681-2693
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2136939467
- Cited by
- 416
- References
- 7
- FWCI
- 30.25
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Dieleman, W. I. J., Vicca, S., Dijkstra, F. A., Hagedorn, F., Hovenden, M. J., Larsen, K. S., Morgan, J. A., Volder, A., Beier, C., Dukes, J. S., King, J., Leuzinger, S., Linder, S., Luo, Y., Oren, R., De Angelis, P., Tingey, D., Hoosbeek, M. R., & Janssens, I. A. (2012). Simple additive effects are rare: a quantitative review of plant biomass and soil process responses to combined manipulations of CO 2 and temperature. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2012.02745.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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