v. Acknowledgements: We dedicate this paper to the memory of John Flenley who pioneered so many exciting aspects of pollen analysis and vegetation history. One of us (HJBB) has known John since 1963 and was always stimulated by John's latest ideas and palaeoecological studies.This work is part of the PollChem project funded with a FRIPRO Grant (PollChem 214359); the extensive field work was possible through funding by the L. Meltzer Høyskolefond (2017/05/LMH) and the Olaf Grolle Olsen Legat (2017/52/FOL).
vi. AbstractAim: Fossil pollen is an important tool for understanding biogeographic patterns in the past, but the taxonomic resolution of the fossil-pollen record may be limited to genus or even family level. Chemical analysis of pollen grains has the potential to increase the taxonomic resolution of pollen, but present-day chemical variability is poorly understood. This study aims to investigate whether a phylogenetic signal is present in the chemical variations of Quercus L. pollen, to determine the prospects of chemical techniques as for identification in biogeographic research.
Location: PortugalTaxon: Six species of Quercus L., Q. faginea, Q. robur, Q. robur estremadurensis, Q. coccifera, Q. rotundifolia and Q. suber belonging to three sections: Cerris, Ilex, and Quercus (Denk, Grimm, Manos, Deng, & Hipp, 2017) Methods: We collected pollen samples from 297 individual Quercus trees across a 4° (~450 km) latitudinal gradient and determined chemical differences using Fourier-transform infrared spectroscopy (FTIR). We used canonical powered partial least-squares regression (CPPLS) and discriminant analysis to describe within-and between-species chemical variability. Chemical functional groups associated with variation in the FTIR spectra between different Quercus species were determined.
Results:We find clear differences in the FTIR spectra from Quercus pollen at the section level (Cerris: ~98%; Ilex: ~100%; Quercus: ~97%). Successful discrimination is based on lipids and sporopollenins. However, discrimination of species within individual Quercus sections is more difficult: overall, species recall is ~76% and species misidentifications within sections lie between 22% and 31% of the test-set.
Main Conclusions:Our results demonstrate that sub-genus level differentiation of Quercus pollen is possible using FTIR methods, with successful classification at the section level. This indicates that operator-independent FTIR approaches can perform equally to traditional morphological techniques. However, although sporopollenins are identified as important functional groups for discrimination between some Quercus taxa, the importance of lipids to resolve phylogenetic signatures presents challenges for future biogeographic research because lipids may be less likely to be preserved in sediment sequences. We suggest that future work on further discrimination of isolated sporopollenin components is required before FTIR-based chemical discrimination can be used in long-term ecology and biogeography studies.