2000
DOI: 10.1006/qres.2000.2131
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Do Low CO2 Concentrations Affect Pollen-Based Reconstructions of LGM Climates? A Response to “Physiological Significance of Low Atmospheric CO2 for Plant–Climate Interactions” by Cowling and Sykes

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Cited by 22 publications
(14 citation statements)
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“…The use of fossil pollen records to reconstruct climate has a long history in eastern North America (Bartlein and Webb, 1985;Gajewski, 1988;Prentice et al, 1991;Webb et al, 1993Webb et al, , 1998Jackson et al, 2000;Williams et al, 2000;Bartlein et al, 2011;Viau et al, 2012;Wahl et al, 2012). Pollen data have been used to reconstruct climate variables such as mean temperature of the coldest month, mean temperature of the warmest month, mean annual temperature, and mean annual precipitation and bioclimatic variables.…”
Section: Fossil Pollenmentioning
confidence: 99%
“…The use of fossil pollen records to reconstruct climate has a long history in eastern North America (Bartlein and Webb, 1985;Gajewski, 1988;Prentice et al, 1991;Webb et al, 1993Webb et al, , 1998Jackson et al, 2000;Williams et al, 2000;Bartlein et al, 2011;Viau et al, 2012;Wahl et al, 2012). Pollen data have been used to reconstruct climate variables such as mean temperature of the coldest month, mean temperature of the warmest month, mean annual temperature, and mean annual precipitation and bioclimatic variables.…”
Section: Fossil Pollenmentioning
confidence: 99%
“…Moreover, if these variations in c a have caused changes that are detectable in compositional data, such as pollen assemblages, then conventional approaches to reconstructing past climate using statistical or analogue methods -if applied to periods with c a different from that of the late Holocene -are certain to yield incorrect results. Although this potential problem in palaeoclimate reconstruction has been known in principle for more than two decades (Solomon, 1984;Idso, 1989;Farquhar, 1997;Street-Perrott, 1994;Street-Perrott et al, 1997;Sykes, 1999, 2000;Bennett and Willis, 2000;Williams et al, 2000;Loehle, 2007), until recently few systematic attempts have been made to rectify it.…”
Section: Introductionmentioning
confidence: 99%
“…These studies suggest that previous pollen-based estimates of temperature decreases during the LGM may have been overestimated. A modeling approach combined with appropriate data is thus necessary to understand these discrepancies (15,16).In this paper, we describe our use of an improved inverse vegetation modeling approach (17) by a physiological processbased vegetation model, BIOME4 (18), in an inverse mode (15), and the BIOME6000 pollen data (19) to examine how changes in atmospheric CO 2 concentration and climate might account for the observed distribution of African mountain vegetation during the LGM. …”
mentioning
confidence: 99%