The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Response of isoprene emission to ambient CO2 changes and implications for global budgets
Abstract
We explore the potential role of atmospheric carbon dioxide (CO 2) on isoprene emissions using a global coupled land–atmosphere model [Community Atmospheric Model–Community Land Model (CAM–CLM)] for recent (year 2000, 365 ppm CO 2) and future (year 2100, 717 ppm CO 2) conditions. We incorporate an empirical model of observed isoprene emissions response to both ambient CO 2 concentrations in the long‐term growth environment and short‐term changes in intercellular CO 2 concentrations into the MEGAN biogenic emission model embedded within the CLM. Accounting for CO 2 inhibition has little impact on predictions of present‐day global isoprene emission (increase from 508 to 523 Tg C yr−1). However, the large increases in future isoprene emissions typically predicted in models, which are due to a projected warmer climate, are entirely offset by including the CO 2 effects. Projected global isoprene emissions in 2100 drop from 696 to 479 Tg C yr−1 when this effect is included, maintaining future isoprene sources at levels similar to present day. The isoprene emission response to CO 2 is dominated by the long‐term growth environment effect, with modulations of 10% or less due to the variability in intercellular CO 2 concentration. As a result, perturbations to isoprene emissions associated with changes in ambient CO 2 are largely aseasonal, with little diurnal variability. Future isoprene emissions increase by more than a factor of two in 2100 (to 1242 Tg C yr−1) when projected changes in vegetation distribution and leaf area density are included. Changing land cover and the role of nutrient limitation on CO 2 fertilization therefore remain the largest source of uncertainty in isoprene emission prediction. Although future projections suggest a compensatory balance between the effects of temperature and CO 2 on isoprene emission, the enhancement of isoprene emission due to lower ambient CO 2 concentrations did not compensate for the effect of cooler temperatures over the last 400 thousand years of the geologic record (including the Last Glacial Maximum).
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
A climate-change risk analysis for world ecosystems
Scholze, M., Knorr, W., Arnell, N. W., & Prentice, I. C. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601816103 · Cited by 756
Cited by
Effect of climate change on air quality
Jacob, D. J., & Winner, D. A. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.09.051 · Cited by 1,979
Chemistry and the Linkages between Air Quality and Climate Change
von Schneidemesser, E., Monks, P. S., Allan, J. D., Bruhwiler, L., Forster, P., Fowler, D., Lauer, A., Morgan, W. T., Paasonen, P., Righi, M., et al. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00089 · Cited by 522
Young, P. J., Naik, V., Fiore, A. M., Gaudel, A., Guo, J., Lin, M. Y., Neu, J. L., Parrish, D. D., Rieder, H. E., Schnell, J. L., et al. (2018) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.265 · Cited by 444
Tropospheric Ozone Assessment Report
Archibald, A. T., Neu, J. L., Elshorbany, Y. F., Cooper, O. R., Young, P. J., Akiyoshi, H., Cox, R. A., Coyle, M., Derwent, R. G., Deushi, M., et al. (2020) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.2020.034 · Cited by 239
Impacts of climate change on surface ozone and intercontinental ozone pollution: A multi‐model study
Doherty, R. M., Wild, O., Shindell, D. T., Zeng, G., MacKenzie, I. A., Collins, W. J., Fiore, A. M., Stevenson, D. S., Dentener, F. J., Schultz, M. G., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50266 · Cited by 209
Metadata
- Authors
- HEALD, C. L., WILKINSON, M. J., MONSON, R. K., ALO, C. A., WANG, G., & GUENTHER, A.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2009-04-07
- Volume
- 15
- Issue
- 5
- Pages
- 1127-1140
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2012700379
- Cited by
- 164
- References
- 1
- FWCI
- 4.65
- Type
- journal article
- Language
- en
- Open access
- closed
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: Response of isoprene emission to ambient CO2 changes and implications for global budgets. https://app.cochat.ai/papers/10.1111/j.1365-2486.2008.01802.x
- The paper
- HEALD, C. L., WILKINSON, M. J., MONSON, R. K., ALO, C. A., WANG, G., & GUENTHER, A. (2009). Response of isoprene emission to ambient CO2 changes and implications for global budgets. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2008.01802.x
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.