Abstract
The two-step Landscape Reconstruction Algorithm—comprising the models REVEALS and LOVE—translates fossil pollen assemblages into quantitative reconstructions of past vegetation cover. The REVEALS model has been applied to lakes and bogs of varied sizes, but application to records from alluvial sites is currently lacking and could further extend these reconstructions to areas where lakes and bogs are absent. In addition, since alluvial sites are often located in areas that experienced early anthropogenic impact, such data will provide more insight into land cover change in the context of agricultural development. In this paper, we test the performance of the REVEALS model using pollen records from multiple alluvial sites obtained from the floodplains of the Belgian Dijle catchment. The modelled vegetation cover is compared to the observed vegetation cover based on a historical land cover map of ca. ad 1775 (ca. 175 cal bp). The discrepancy between the modelled and the observed regional vegetation cover is relatively small and can largely be explained by local differences in land cover surrounding the sites, based on the results of the LOVE model. This study concludes that the LRA approach accurately reconstructs the regional vegetation cover of the river catchment based on pollen obtained from alluvial floodplains, and shows that it is able to reflect major local differences in land cover as well. Including pollen data obtained from alluvial floodplains could lead to a substantial increase in spatial coverage of future LRA-based land cover reconstructions.
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Data availability
Original pollen dataset will be made available through Neotoma.
Code availability
Application of existing and freely available code.
References
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Acknowledgements
This research is part of a project funded by Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders—application S003017N and G0A6317N). The authors thank Shinya Sugita for providing the REVEALS, LOVE and DWPAcalculator programs, Martin Theuerkauf for his help with the disqover R-package and Petr Kuneš for his help with the LRA R-package. We are also grateful to Marie-José Gaillard and two anonymous reviewers for their valuable suggestions which significantly improved this study.
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This research is part of a project funded by Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders—application S003017N and G0A6317N).
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All authors contributed to the study conception and design. Pollen data were collected by Nils Broothaerts, and subsequent data analysis was performed by Renske Hoevers. The first draft of the manuscript was written by Renske Hoevers and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Hoevers, R., Broothaerts, N. & Verstraeten, G. The potential of REVEALS-based vegetation reconstructions using pollen records from alluvial floodplains. Veget Hist Archaeobot 31, 525–540 (2022). https://doi.org/10.1007/s00334-022-00866-1
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DOI: https://doi.org/10.1007/s00334-022-00866-1