1997
DOI: 10.1071/bt96035
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Uncertainty in Palaeoclimatic Reconstructions Based on Leaf Physiognomy

Abstract: There are several methods of predicting terrestrial palaeoclimates from the size and shape of fossil leaves (foliar physiognomy). The assumptions and sources of uncertainty of these methods are considered and used to determine the true uncertainty. Their ability to predict mean annual temperature (MAT) is poor. The approximate standard errors for samples of living vegetation in North America are in the range of 1.7˚C to 2.5˚C, but the true uncertainty for fossil samples is higher. Specimens with very different… Show more

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Cited by 50 publications
(68 citation statements)
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“…Boyd, 1994;Wolfe, 1993Wolfe, , 1995Jordan, 1997;Burnham et al 2001;Kowalski & Dilcher 2003;Uhl, 2006;Uhl et al, 2003Uhl et al, , 2006Uhl et al, , 2007, we include this technique for comparison with previously published climate estimates for the Zeitz FA.…”
Section: Leaf Margin Analysis (Lma)mentioning
confidence: 98%
“…Boyd, 1994;Wolfe, 1993Wolfe, , 1995Jordan, 1997;Burnham et al 2001;Kowalski & Dilcher 2003;Uhl, 2006;Uhl et al, 2003Uhl et al, , 2006Uhl et al, , 2007, we include this technique for comparison with previously published climate estimates for the Zeitz FA.…”
Section: Leaf Margin Analysis (Lma)mentioning
confidence: 98%
“…Recent overviews of Palaeogene flora and vegetation have been published by , , Martin (1994) and . 'Structural' limitations that constrain the use of palaeobotanical data as evidence for climate or climatic change in the Tertiary have been reviewed by , and Jordan (1997b).…”
Section: Palaeobotanical Databasementioning
confidence: 99%
“…Jordan (1997a) pointed out that some climatic criteria predicted by the methods, for instance rainfall, are not independently derived from the physiognomy, but result from the particular correlation with MAT today. Nevertheless, workers continue to publish estimates of Mean Annual Precipitation, in some cases to the millimeter.…”
Section: Climate From Foliar Physiognomymentioning
confidence: 99%