4.7 Article

Cell anatomy and leaf δ13C as proxies for shading and canopy structure in a Miocene forest from Ethiopia

期刊

出版社

ELSEVIER
DOI: 10.1016/j.palaeo.2017.07.015

关键词

Undulation index; Foliar delta C-13; Carbon isotopes; Paleoprecipitation; Fabaceae; Africa

资金

  1. U.S. National Science Foundation [EAR 1053549, EAR 1052478, EAR 1053351]
  2. Australian Research Council [FT110100100791]
  3. National Geographic Society NGS [CRE 8816-10]
  4. Miami University
  5. Division Of Earth Sciences
  6. Directorate For Geosciences [1053549] Funding Source: National Science Foundation

向作者/读者索取更多资源

Plant fossils are most commonly preserved as isolated organs, making it difficult to determine plant life habit or ecosystem structure from fossils. In particular, paleoecologists have struggled to reconstruct forest canopy structure, a character that fundamentally influences hydrology, nutrient cycling, and plant and animal life. Analyses utilizing cellular morphology and leaf carbon isotope composition have been proposed to reconstruct light regime, itself a proxy for canopy structure, and we apply these proxies to exquisitely preserved leaf fossils from the early Miocene Mush Valley site in central Ethiopia. Epidermal cell wall undulation (undulation index, UI) and carbon isotope values (delta C-13) were measured for 21 fossil leaves of a legume morphospecies, Legume 1. Five leaves of a second legume morphospecies were also analyzed using the same procedures. Carbon isotope ratios and total organic carbon content were measured for 85 additional fossil leaves belonging to at least nine morphospecies. A large range of both leaf delta C-13 and UI values were obtained for Legume 1, indicating that different leaves were exposed to different amounts of light, as would be expected in a closed-canopy forest. However, Legume 1 leaf UI values do not correlate with leaf delta C-13 values, implying that one or both of these variables is driven by factors other than light exposure. Additional modern calibrations are needed to determine the key environmental variables for each measure, as well as the influence of forest openings on preserved signatures. (C) 2017 Elsevier B.V. All rights reserved.

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