Modelling Climate Using Leaves of Nothofagus cunninghamii —Overcoming Confounding Factors

Kathryn E. Hill (), Stuart C. Brown, Alice Jones, Damien Fordham and Robert S. Hill
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Kathryn E. Hill: Department of Ecology and Environmental Science, School of Biological Sciences, Faculty of Science, North Terrace Campus, The University of Adelaide, Adelaide 5005, Australia
Stuart C. Brown: Department of Ecology and Environmental Science, School of Biological Sciences, Faculty of Science, North Terrace Campus, The University of Adelaide, Adelaide 5005, Australia
Alice Jones: Department of Ecology and Environmental Science, School of Biological Sciences, Faculty of Science, North Terrace Campus, The University of Adelaide, Adelaide 5005, Australia
Damien Fordham: Department of Ecology and Environmental Science, School of Biological Sciences, Faculty of Science, North Terrace Campus, The University of Adelaide, Adelaide 5005, Australia
Robert S. Hill: Department of Ecology and Environmental Science, School of Biological Sciences, Faculty of Science, North Terrace Campus, The University of Adelaide, Adelaide 5005, Australia

Sustainability, 2023, vol. 15, issue 9, 1-11

Abstract: Fossil leaf anatomy has previously been used as a proxy for paleoclimate. However, the exposure of leaves to sun or shade during their growth can lead to morphotype differences that confound the interpretation of fossil leaf anatomy in relation to climate and prevent reliable paleoclimate reconstruction. This work aims to model the differences in leaf anatomy that are due to various climatic drivers and differences attributable to sun or shade positions, using Nothofagus cunninghamii as the model species. Leaves from the sun and shade parts of three trees have been sampled from each of 11 sites in Victoria and Tasmania, Australia. The gross morphological and cuticular features have been scored and modelled with climate data from the sites. Random forest models can accurately predict Nothofagus cunninghamii contemporary climatic conditions of the spring temperature and summer rainfall based on leaf anatomical measurements. Leaf area, stomatal density and epidermal cell density are the most accurate predictors of whether a leaf grew in the sun or shade. Leaf area is also the strongest predictor of the maximum and minimum spring temperatures and rainfall. The models have implications for the use of fossilised leaves in paleoclimate reconstruction. The models we have built can be used to effectively predict whether a fossil leaf was from a sun or shade position on the tree and thus enable more reliable inference of paleoclimate by removing the confounding issues of variable leaf anatomy due to sun exposure during growth. Finally, these models could conceivably be used to make predictions of past paleoclimatic conditions provided suitable training and validation data on climatic conditions are available.

Keywords: Nothofagus cunninghamii; sun and shade leaves; cuticular anatomy; climate change (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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