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Estimation of low-latitude paleoclimates using fossil angiosperm leaves: examples from the Miocene Tugen Hills, Kenya

Published online by Cambridge University Press:  08 April 2016

Bonnie Fine Jacobs*
Affiliation:
Environmental Science Program, Post Office Box 750395, Southern Methodist University, Dallas, Texas 75275-0395. E-mail: [email protected]

Abstract

In the last decade, several statistical models have been proposed to quantify the relationships among leaf morphological characters and climate parameters. The models, based on modern plants and climate from varying geographic areas, and derived using varied statistical analyses, were intended for paleoclimatic reconstruction based on the morphological characters of fossil leaves. The goal of the research presented here is to evaluate these and newly constructed models in order to estimate past climate in tropical Africa from fossil leaves. Models found to estimate current climate most accurately using modern African leaf assemblages are used to estimate past climate from fossil leaves at three middle and late Miocene paleobotanical sites in the Tugen Hills, Kenya.

Regression models derived from predictor data having a majority of sites from higher than 25°N-S latitude consistently overestimate mean annual precipitation at modern African sites by an average of 990 mm. A pronounced cold season, as at high latitudes, has an inhibitory effect on leaf size, the primary correlate of rainfall, and may negatively affect the accuracy with which models derived from high latitudes estimate rainfall in the Tropics, which lack a cold season. Models derived from data sets consisting of samples from 25°N-S latitude yield similar and more accurate estimates for mean annual precipitation at modern African sites, expressing the predominant relationship between yearly or seasonal rainfall and leaf size at lower latitudes. Models that estimate temperature parameters, whether derived from high or low latitudes, were found to be inaccurate with modern tropical African samples. The hypothesis is proposed that non-entire margins, the primary correlate with temperature, are more likely to be present on the leaves of deciduous plants, whether they lose their leaves because of cold (at high latitudes) or seasonal drought (at low latitudes). Generally, this study indicates that modern predictor data sets from which models are drawn should be representative of the predominant climate parameters expected among fossil sites.

Four regression models are approximately equal in their ability to estimate accurately mean annual precipitation at the modern African sites. They are derived from African data or combinations of African plus other low-latitude data and provide consistent rainfall reconstructions at the three fossil sites. Estimates are 955 ± 29 to 1185 ± 96 mm/yr for Kabarsero (12.6 Ma), 490 ± 46 to 693 ± 32 mm/yr for Waril (9–10 Ma), and 730 ± 30 to 1019 ± 32 mm/yr for Kapturo. Wet-months precipitation estimates are 857 ± 30 mm/yr for Kabarsero, 437 ± 30 for Waril, and 627 ± 30 for Kapturo.

These are the first quantitative estimates of climate for the Miocene of East Africa. The seasonally dry climate inferred for Waril may indicate that the Asian monsoon was established by about 9–10 Ma. Alternatively, the seasonally dry climate may reflect local topographic changes caused by rift valley development. However, the plant localities suggest that, although progressive drying may have been a trend during the Tertiary, there was not a unidirectional change from forested to open environments in the Kenya rift between 12.6 and 6.8 Ma, the time interval just prior to the origin of hominids.

Type
Articles
Copyright
Copyright © The Paleontological Society 

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References

Literature Cited

Bailey, I. W., and Sinnott, E. W. 1916. The climatic distribution of certain types of Angiosperm leaves. American Journal of Botany 3:2439.Google Scholar
Casella, G., and Berger, R. L. 1990. Statistical inference. Wads-worth and Brooks/Cole, Pacific Grove, Calif.Google Scholar
Crowley, T. J., and North, G. R. 1991. Paleoclimatology. Oxford University Press, Oxford.Google Scholar
Dilcher, D. L. 1973. A paleoclimatic interpretation of the Eocene floras of southeastern North America. Pp. 3959in Graham, A., ed. Vegetation and vegetational history of northern Latin America. Elsevier, Amsterdam.Google Scholar
Givnish, T. 1979. On the adaptive significance of leaf form. Pp. 375407in Solbrig, O. T., Raven, P. H., Jain, S., and Johnson, G. B., eds. On the adaptive significance of leaf form. Columbia University Press, New York.Google Scholar
Givnish, T. 1984. Leaf and canopy adaptations in tropical forests. Pp. 5184in Medina, E., Mooney, H. A., and Vázquez-Yánes, C., eds. Physiological ecology of plants of the wet tropics. Junk, The Hague.Google Scholar
Gregory, K. M. 1994. Palaeoclimate and palaeoelevation of the 35 Ma Florissant flora, Front Range, Colorado. Paleoclimates 1:2357.Google Scholar
Gregory, K. M., and McIntosh, W. C. 1996. Paleoclimate and paleoelevation of the Oligocene Pitch-Pinnacle flora, Sawatch Range, Colorado. Geological Society of America Bulletin 108:545561.Google Scholar
Gregory-Wodzicki, K. M. 1997. The Late Eocene House Range Flora, Sevier Desert, Utah: paleoclimate and paleoelevation. Palaios 12:552567.Google Scholar
Gregory-Wodzicki, K. M. 2000. Relationships between leaf morphology and climate, Bolivia: implications for estimating paleoclimate from fossil floras. Paleobiology 26:668688.Google Scholar
Hill, A., Drake, R., Tauxe, L., Monaghan, M., Barry, J. C., Behrensmeyer, A. K., Curtis, G., Jacobs, B. F., Jacobs, L., Johnson, N., and Pilbeam, D. 1985. Neogene palaeontology and geochronology of the Baringo Basin, Kenya. Journal of Human Evolution 14:759773.Google Scholar
Hoerling, M., Hurrell, J., and Xu, T. 2001. Tropical origins for recent North Atlantic climate change. Science 292:9092.Google Scholar
Howard, E. F. 1969. The ecology of an elfin forest in Puerto Rico, 8. Studies of stem growth and form and of leaf structure. Journal of the Arnold Arboretum 50:225262, 5 plates.Google Scholar
Jacobs, B. F. 1999. Estimation of rainfall variables from leaf characters in tropical Africa. Palaeogeography, Palaeoclimatology, Palaeoecology 145:231250.Google Scholar
Jacobs, B. F., and Deino, A. L. 1996. Test of climate-leaf physiognomy regression models, their application to two Miocene floras from Kenya, and 40Ar/39Ar dating of the Late Miocene Kapturo site. Palaeogeography, Palaeoclimatology, Palaeoecology 123:259271.Google Scholar
Jacobs, B. F., and Kabuye, C. H. S. 1987. A middle Miocene (12.2 my old) forest in the East African Rift Valley, Kenya. Journal of Human Evolution 16:147155.Google Scholar
Jacobs, B. F., and Kabuye, C. H. S. 1989. An extinct species of Pollia Thunberg (Commelinaceae) from the Miocene Ngorora Formation, Kenya. Review of Palaeobotany and Palynology 59:6776.Google Scholar
Jacobs, B. F., and Winkler, . 1992. Taphonomy of a middle Miocene autochthonous forest assemblage, Ngorora Formation, central Kenya. Palaeogeography, Palaeoclimatology, Palaeoecology 99:3140.Google Scholar
Jongman, R. H. G., Ter Braak, C. J. F., and Van Tongeren, O. F. R. 1995. Data analysis in community and landscape ecology. Cambridge University Press, Cambridge.Google Scholar
Kingston, J. D., Marino, B. D., and Hill, A. 1994. Isotopic evidence for Neogene hominid paleoenvironments in the Kenya Rift Valley. Science 264:955959.Google Scholar
Kovach, W. L., and Spicer, R. A. 1996. Canonical correspondence analysis of leaf physiognomy: a contribution to the development of a new palaeoclimatological tool. Palaeoclimates 2:125138.Google Scholar
Kutzbach, J. E., Prell, W. L., and Ruddiman, W. F. 1993. Sensitivity of Eurasian climate to surface uplift of the Tibetan Plateau. Journal of Geology 101:177190.Google Scholar
Leakey, M. G., Feibel, C. S., Bernor, R. L., Harris, J. M., Cerling, T. E., Stewart, K. M., Storrs, G. W., Walker, A., Werdlin, L., and Winkler, A. 1996. Lothagam: a record of faunal change in the Late Miocene of East Africa. Journal of Vertebrate Paleontology 16:556570.Google Scholar
Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W. 1996. Applied linear statistical models. McGraw-Hill, New York.Google Scholar
Owen-Smith, N. 1999. Ecological links between African savanna environments, climate change, and early hominid evolution. Pp. 138149in Bromage, T. and Schrenk, F., eds. African biogeography, climate change, and human evolution. Oxford University Press, Oxford.Google Scholar
Parrish, J. T. 1998. Interpreting Pre-Quaternary climate from the geologic record. Cambridge University Press, Cambridge.Google Scholar
Pilbeam, D. 1996. Genetic and morphological records of the Hominoidea and hominid origins: a synthesis. Molecular Phylogenetics and Evolution 5:155168.Google Scholar
Prell, W. L., and Kutzbach, J. E. 1992. Sensitivity of the Indian monsoon to forcing parameters and implications for its evolution. Nature 360:647652.Google Scholar
Raunkiaer, C. 1934. The use of leaf size in biological plant geography. Pp. 368378in Raunkiaer, C., ed. The life forms of plants and statistical plant geography. Clarendon, Oxford.Google Scholar
Rees, P., Gibbs, M., Ziegler, A., Kutzbach, J., and Behling, P. 1999. Permian climates: evaluating model predictions using global paleobotanical data. Geology 27:891894.Google Scholar
Richards, P. W. 1996. The tropical rain forest, 2d ed.Cambridge University Press, New York.Google Scholar
Roth, J. L., and Dilcher, D. L. 1978. Some considerations in leaf size and leaf margin. Courier Forschungsinstitut Senckenberg 30:165171.Google Scholar
Royer, D. L. 1999. Depth to pedogenic carbonate horizon as a paleoprecipitation indicator? Geology 27:11231126.Google Scholar
Snedecor, G. W., and Cochran, W. G. 1989. Statistical methods. Iowa State University Press, Ames.Google Scholar
Stranks, L., and England, P. 1997. The use of a resemblance function in the measurement of climatic parameters from the physiognomy of woody dicotyledons. Palaeogeography, Palaeoclimatology, Palaeoecology 131:1528.Google Scholar
Takahata, N. 1995. A genetic perspective on the origin and history of humans. Annual Review of Ecology and Systematics 26:343372.Google Scholar
Tauxe, L., Monaghan, M., Drake, R., Curtis, G., and Staudigel, H. 1985. Paleomagnetism of Miocene East African Rift sediments and the calibration of the Geomagnetic Reversal Time Scale. Journal of Geophysical Research 90:46394646.Google Scholar
Thompson, R. S., Anderson, K. H., and Bartlein, P. J. 2000. Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America. U.S. Geological Survey Professional Paper 1650-A and B.Google Scholar
Webb, L. J. 1959. A physiognomic classification of Australian rain forests. Journal of Ecology 47:551570.Google Scholar
Wiemann, M. C., Manchester, S. R., Dilcher, D. L., Hinojosa, L. F., and Wheeler, E. A. 1998. Estimation of temperature and precipitation from morphological characters of dicotyledonous leaves. American Journal of Botany 85:17961802.Google Scholar
Wilf, P. 1997. When are leaves good thermometers? A new case for leaf margin analysis. Paleobiology 23:373390.Google Scholar
Wilf, P., Wing, S. L., Greenwood, D. R., and Greenwood, C. L. 1998. Using fossil leaves as paleoprecipitation indicators: an Eocene example. Geology 26:203206.Google Scholar
Wilf, P., Wing, S. L., Greenwood, D. R., and Greenwood, C. L. 1999. Reply to comment by Wolfe and Uemura. Geology 27:92.Google Scholar
Wing, S. L., and Greenwood, D. R. 1993. Fossils and fossil climate: the case for equable continental interiors in the Eocene. Philosophical Transactions of the Royal Society of London B 341:243252.Google Scholar
Wolfe, J. A. 1978. A paleobotanical interpretation of Tertiary climates in the Northern Hemisphere. American Scientist 66:694703.Google Scholar
Wolfe, J. A. 1979. Temperature parameters of humid to mesic forests of Eastern Asia and relation to forest of other regions of the Northern Hemisphere and Australasia. U.S. Geological Survey Professional Paper 1106:137.Google Scholar
Wolfe, J. A. 1981. Paleoclimatic significance of the Oligocene and Neogene floras of the northwestern United States. Pp. 79101in Niklas, K., ed. Paleobotany, paleoecology, and evolution. Praeger, New York.Google Scholar
Wolfe, J. A. 1993. A method of obtaining climatic parameters from leaf assemblages. U.S. Geological Survey Bulletin 2040:171.Google Scholar
Wolfe, J. A. 1995. Paleoclimatic estimates for Tertiary leaf assemblages. Annual Review of Earth and Planetary Sciences 23: 119–42.Google Scholar
Wolfe, J. A., and Poore, R. Z. 1982. Tertiary marine and non-marine climatic trends. Pp. 154158in Berger, W. and Crowell, J. C., eds. Climate in Earth history. National Academy of Sciences, Washington, D.C.Google Scholar
Wolfe, J. A., and Uemura, K. 1999. Using fossil leaves as paleoprecipitation indicators: an Eocene example: comment and reply. Geology 27:9192.Google Scholar
Zhisheng, A., Kutzbach, J. E., Prell, W. L., and Porter, S. C. 2001. Evolution of Asian monsoons and phased uplift of the Himalaya-Tibetan plateau since Late Miocene times. Nature 411:6266.CrossRefGoogle ScholarPubMed