Articles | Volume 13, issue 10
https://doi.org/10.5194/cp-13-1381-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-13-1381-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Oct 2017
Research article |
| 26 Oct 2017
Quantifying the influence of the terrestrial biosphere on glacial–interglacial climate dynamics
Taraka Davies-Barnard
CORRESPONDING AUTHOR
BRIDGE, Cabot Institute, and School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QE, UK
Andy Ridgwell
BRIDGE, Cabot Institute, and School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Department of Earth Sciences, University of California, Riverside, CA 92521, USA
Joy Singarayer
Department of Meteorology and Centre for Past Climate Change, University of Reading, P.O. Box 243, Whiteknights Campus, Reading, RG6 6BB, UK
Paul Valdes
BRIDGE, Cabot Institute, and School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
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Cited
23 citations as recorded by crossref.
- Deglacial carbon cycle changes observed in a compilation of 127 benthic δ13C time series (20–6 ka) C. Peterson & L. Lisiecki 10.5194/cp-14-1229-2018
- Spatio-temporal climate change contributes to latitudinal diversity gradients E. Saupe et al. 10.1038/s41559-019-0962-7
- Elevated Southern Hemisphere moisture availability during glacial periods R. Weij et al. 10.1038/s41586-023-06989-3
- Projected climatic changes lead to biome changes in areas of previously constant biome B. Huntley et al. 10.1111/jbi.14213
- Low terrestrial carbon storage at the Last Glacial Maximum: constraints from multi-proxy data A. Jeltsch-Thömmes et al. 10.5194/cp-15-849-2019
- What are the drivers of Caspian Sea level variation during the late Quaternary? S. Koriche et al. 10.1016/j.quascirev.2022.107457
- Human brains preserve in diverse environments for at least 12 000 years A. Morton-Hayward et al. 10.1098/rspb.2023.2606
- Global vegetation patterns of the past 140,000 years J. Allen et al. 10.1111/jbi.13930
- Identifying the mechanisms of DO-scale oscillations in a GCM: a salt oscillator triggered by the Laurentide ice sheet E. Armstrong et al. 10.1007/s00382-022-06564-y
- Sensitivity of the Tropical Dust Cycle to Glacial Abrupt Climate Changes P. Hopcroft et al. 10.1029/2022GL101197
- Non‐random latitudinal gradients in range size and niche breadth predicted by spatial patterns of climate E. Saupe et al. 10.1111/geb.12904
- The Contribution of Vegetation‐Climate Feedback and Resultant Sea Ice Loss to Amplified Arctic Warming During the Mid‐Holocene J. Chen et al. 10.1029/2022GL098816
- Global footprints of dansgaard-oeschger oscillations in a GCM K. Izumi et al. 10.1016/j.quascirev.2023.108016
- Variable C∕P composition of organic production and its effect on ocean carbon storage in glacial-like model simulations M. Ödalen et al. 10.5194/bg-17-2219-2020
- Investigating environmental effects on phonology using diachronic models F. Hartmann et al. 10.1017/ehs.2023.33
- Ice-sheet modulation of deglacial North American monsoon intensification T. Bhattacharya et al. 10.1038/s41561-018-0220-7
- Millennial‐Scale Climate Oscillations Triggered by Deglacial Meltwater Discharge in Last Glacial Maximum Simulations Y. Romé et al. 10.1029/2022PA004451
- Response of an Afro-Palearctic bird migrant to glaciation cycles K. Thorup et al. 10.1073/pnas.2023836118
- Thermal niches of planktonic foraminifera are static throughout glacial–interglacial climate change G. Antell et al. 10.1073/pnas.2017105118
- A statistics-based reconstruction of high-resolution global terrestrial climate for the last 800,000 years M. Krapp et al. 10.1038/s41597-021-01009-3
- Contrasting the Penultimate Glacial Maximum and the Last Glacial Maximum (140 and 21 ka) using coupled climate–ice sheet modelling V. Patterson et al. 10.5194/cp-20-2191-2024
- Complexities in interpreting chironomid-based temperature reconstructions over the Holocene from a lake in Western Ireland M. McKeown et al. 10.1016/j.quascirev.2019.105908
- Identifying Global‐Scale Patterns of Vegetation Change During the Last Deglaciation From Paleoclimate Networks M. Adam et al. 10.1029/2021PA004265
23 citations as recorded by crossref.
- Deglacial carbon cycle changes observed in a compilation of 127 benthic δ13C time series (20–6 ka) C. Peterson & L. Lisiecki 10.5194/cp-14-1229-2018
- Spatio-temporal climate change contributes to latitudinal diversity gradients E. Saupe et al. 10.1038/s41559-019-0962-7
- Elevated Southern Hemisphere moisture availability during glacial periods R. Weij et al. 10.1038/s41586-023-06989-3
- Projected climatic changes lead to biome changes in areas of previously constant biome B. Huntley et al. 10.1111/jbi.14213
- Low terrestrial carbon storage at the Last Glacial Maximum: constraints from multi-proxy data A. Jeltsch-Thömmes et al. 10.5194/cp-15-849-2019
- What are the drivers of Caspian Sea level variation during the late Quaternary? S. Koriche et al. 10.1016/j.quascirev.2022.107457
- Human brains preserve in diverse environments for at least 12 000 years A. Morton-Hayward et al. 10.1098/rspb.2023.2606
- Global vegetation patterns of the past 140,000 years J. Allen et al. 10.1111/jbi.13930
- Identifying the mechanisms of DO-scale oscillations in a GCM: a salt oscillator triggered by the Laurentide ice sheet E. Armstrong et al. 10.1007/s00382-022-06564-y
- Sensitivity of the Tropical Dust Cycle to Glacial Abrupt Climate Changes P. Hopcroft et al. 10.1029/2022GL101197
- Non‐random latitudinal gradients in range size and niche breadth predicted by spatial patterns of climate E. Saupe et al. 10.1111/geb.12904
- The Contribution of Vegetation‐Climate Feedback and Resultant Sea Ice Loss to Amplified Arctic Warming During the Mid‐Holocene J. Chen et al. 10.1029/2022GL098816
- Global footprints of dansgaard-oeschger oscillations in a GCM K. Izumi et al. 10.1016/j.quascirev.2023.108016
- Variable C∕P composition of organic production and its effect on ocean carbon storage in glacial-like model simulations M. Ödalen et al. 10.5194/bg-17-2219-2020
- Investigating environmental effects on phonology using diachronic models F. Hartmann et al. 10.1017/ehs.2023.33
- Ice-sheet modulation of deglacial North American monsoon intensification T. Bhattacharya et al. 10.1038/s41561-018-0220-7
- Millennial‐Scale Climate Oscillations Triggered by Deglacial Meltwater Discharge in Last Glacial Maximum Simulations Y. Romé et al. 10.1029/2022PA004451
- Response of an Afro-Palearctic bird migrant to glaciation cycles K. Thorup et al. 10.1073/pnas.2023836118
- Thermal niches of planktonic foraminifera are static throughout glacial–interglacial climate change G. Antell et al. 10.1073/pnas.2017105118
- A statistics-based reconstruction of high-resolution global terrestrial climate for the last 800,000 years M. Krapp et al. 10.1038/s41597-021-01009-3
- Contrasting the Penultimate Glacial Maximum and the Last Glacial Maximum (140 and 21 ka) using coupled climate–ice sheet modelling V. Patterson et al. 10.5194/cp-20-2191-2024
- Complexities in interpreting chironomid-based temperature reconstructions over the Holocene from a lake in Western Ireland M. McKeown et al. 10.1016/j.quascirev.2019.105908
- Identifying Global‐Scale Patterns of Vegetation Change During the Last Deglaciation From Paleoclimate Networks M. Adam et al. 10.1029/2021PA004265
Latest update: 15 Nov 2024
Short summary
We present the first model analysis using a fully coupled dynamic atmosphere–ocean–vegetation GCM over the last 120 kyr that quantifies the net effect of vegetation on climate. This analysis shows that over the whole period the biogeophysical effect (albedo, evapotranspiration) is dominant, and that the biogeochemical impacts may have a lower possible range than typically estimated. This emphasises the temporal reliance of the balance between biogeophysical and biogeochemical effects.
We present the first model analysis using a fully coupled dynamic atmosphere–ocean–vegetation...
