The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis
Open accessAbstract
Subfossil pollen and plant macrofossil data derived from 14C-dated sediment profiles can provide quantitative information on glacial and interglacial climates. The data allow climate variables related to growing-season warmth, winter cold, and plant-available moisture to be reconstructed. Continental-scale reconstructions have been made for the mid-Holocene (MH, around 6 ka) and Last Glacial Maximum (LGM, around 21 ka), allowing comparison with palaeoclimate simulations currently being carried out as part of the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change. The synthesis of the available MH and LGM climate reconstructions and their uncertainties, obtained using modern-analogue, regression and model-inversion techniques, is presented for four temperature variables and two moisture variables. Reconstructions of the same variables based on surface-pollen assemblages are shown to be accurate and unbiased. Reconstructed LGM and MH climate anomaly patterns are coherent, consistent between variables, and robust with respect to the choice of technique. They support a conceptual model of the controls of Late Quaternary climate change whereby the first-order effects of orbital variations and greenhouse forcing on the seasonal cycle of temperature are predictably modified by responses of the atmospheric circulation and surface energy balance.
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Cites
Spatial Autocorrelation: Trouble or New Paradigm?
Legendre, P. (1993) · Ecology · doi:10.2307/1939924 · Cited by 3,711
Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J. O., Levis, S., Lucht, W., Sykes, M. T., et al. (2003) · Global Change Biology · doi:10.1046/j.1365-2486.2003.00569.x · Cited by 3,238
Self-citationRange Shifts and Adaptive Responses to Quaternary Climate Change
Davis, M. B., & Shaw, R. G. (2001) · Science · doi:10.1126/science.292.5517.673 · Cited by 2,527
A high-resolution data set of surface climate over global land areas
New, M., Lister, D., Hulme, M., & Makin, I. (2002) · Climate Research · doi:10.3354/cr021001 · Cited by 2,246
Prentice, I. C., Cramer, W., Harrison, S. P., Leemans, R., Monserud, R. A., & Solomon, A. M. (1992) · Journal of Biogeography · doi:10.2307/2845499 · Cited by 2,106
Self-citationClimatic changes of the last 18,000 years: observations and model simulations
Members, C. (1988) · Science · doi:10.1126/science.241.4869.1043 · Cited by 1,969
Climate and Plant Distribution
Eyre, S. R., & Woodward, F. I. (1988) · The Geographical Journal · doi:10.2307/633873 · Cited by 1,823
Global climates since the last glacial maximum
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0947 · Cited by 1,368
Braconnot, P., Otto-Bliesner, B., Harrison, S., Joussaume, S., Peterchmitt, J.-Y., Abe-Ouchi, A., Crucifix, M., Driesschaert, E., Fichefet, T., Hewitt, C. D., et al. (2007) · Climate of the Past · doi:10.5194/cp-3-261-2007 · Cited by 1,160
Self-citationOverpeck, J. T., Webb, T., & Prentice, I. C. (1985) · Quaternary Research · doi:10.1016/0033-5894(85)90074-2 · Cited by 1,153
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Sherwood, S. C., Webb, M. J., Annan, J. D., Armour, K. C., Forster, P. M., Hargreaves, J. C., Hegerl, G., Klein, S. A., Marvel, K. D., Rohling, E. J., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000678 · Cited by 1,254
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Braconnot, P., Harrison, S. P., Kageyama, M., Bartlein, P. J., Masson-Delmotte, V., Abe-Ouchi, A., Otto-Bliesner, B., & Zhao, Y. (2012) · Nature Climate Change · doi:10.1038/nclimate1456 · Cited by 1,013
Self-citationGlacial cooling and climate sensitivity revisited
Tierney, J. E., Zhu, J., King, J., Malevich, S. B., Hakim, G. J., & Poulsen, C. J. (2020) · Nature · doi:10.1038/s41586-020-2617-x · Cited by 573
Pollen-based climate reconstruction techniques for late Quaternary studies
Chevalier, M., Davis, B. A. S., Heiri, O., Seppä, H., Chase, B. M., Gajewski, K., Lacourse, T., Telford, R. J., Finsinger, W., Guiot, J., et al. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103384 · Cited by 369
Self-citationOtto-Bliesner, B. L., Braconnot, P., Harrison, S. P., Lunt, D. J., Abe-Ouchi, A., Albani, S., Bartlein, P. J., Capron, E., Carlson, A. E., Dutton, A., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-3979-2017 · Cited by 361
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Metadata
- Authors
- Bartlein, P. J., Harrison, S. P., Brewer, S., Connor, S., Davis, B. A. S., Gajewski, K., Guiot, J., Harrison-Prentice, T. I., Henderson, A., Peyron, O., Prentice, I. C., Scholze, M., Seppä, H., Shuman, B., Sugita, S., Thompson, R. S., Viau, A. E., Williams, J., & Wu, H.
- Venue
- Climate Dynamics
- Published
- 2010-09-30
- Volume
- 37
- Issue
- 3-4
- Pages
- 775-802
- ISSN
- 0930-7575 (ISSN-L)
- 1432-0894
- OpenAlex
- W2139199775
- Cited by
- 732
- References
- 113
- FWCI
- 15.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bartlein, P. J., Harrison, S. P., Brewer, S., Connor, S., Davis, B. A. S., Gajewski, K., Guiot, J., Harrison-Prentice, T. I., Henderson, A., Peyron, O., Prentice, I. C., Scholze, M., Seppä, H., Shuman, B., Sugita, S., Thompson, R. S., Viau, A. E., Williams, J., & Wu, H. (2011). Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis. Climate Dynamics. https://doi.org/10.1007/s00382-010-0904-1
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