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Several methods to reconstruct past land cover are available which can be roughly divided into approaches based on pollen data and approaches based on (estimates of) historical human population. In this study, the REVEALS model and non-metric multidimensional scaling (NMDS) are applied to pollen sequences obtained from multiple alluvial floodplains located in the sandy and loamy regions of northeastern Belgium, thereby obtaining the first regional (semi-)quantitative estimates of Holocene landscape openness for this area. These estimates are subsequently compared to the two most widely-used scenarios for anthropogenic land cover change (ALCC): KK10 and HYDE. In contrast with the two population-based ALCC scenarios, the pollen-based reconstructions are well in agreement and indicate considerable variability in past land cover, not only between the two regions but even between the individual catchments. This agreement implies that NMDS could serve as an alternative approach to provide insight in large amounts of pollen data in case not all required model parameters are available to run the REVEALS model. Moreover, NMDS can provide a better understanding of which taxa are related to a particular type of landscape. Taking into account such insights in the interpretation of the REVEALS model output might help to pinpoint the onset of significant human impact on the landscape more precisely. Given that alluvial sites often experienced early anthropogenic impact, including pollen data obtained from alluvial sites could not only improve the spatial coverage and accuracy of current pollen-based land cover reconstructions but could also improve our understanding of human transformation of the landscape, which can in turn contribute to an improvement of the ALCC scenarios. • First regional quantitative estimates of Holocene land cover evolution for Belgium. • Pollen-based land cover reconstructions are compared to population-based approaches. • Pollen data obtained from alluvial sites provides insight in early human impact. • KK10 overestimates anthropogenic land cover in the loess belt until ±2000 cal. BP. • HYDE generally underestimates open land cover prior to the most recent millennium. [ABSTRACT FROM AUTHOR]

[Display omitted] • Local airborne pollen composition was assessed with passive sampling. • Different land cover types were marked by different airborne pollen taxa. • Local airborne pollen composition associated to land cover at meso-scale (1−5 km). Airborne pollen are important aeroallergens affecting human health. Local airborne pollen compositions can pose health-risks for the sensitized population, but at present little is known about fine-scale pollen composition patterns. The overall objective of this study is to determine local variations in tree pollen composition with passive samplers and to identify the surrounding landscape characteristics that drive them. In February–May 2017, during the tree pollen season, airborne tree pollen were measured by passive sampling at 2 m height above ground-level in 14 sites in the Flanders and Brussels-Capital region (Belgium). Non-metric multidimensional scaling was used to investigate environmental gradients that determine the pollen composition and amounts. Land cover types were identified across spatial scales ranging between 20 m and 5 km. The passive samplers detected the same pollen taxa during the same time windows as the validated volumetric Burkard samplers. Using passive samplers, we were able to measure local airborne pollen compositions. Corylus and Platanus pollen were associated to urban areas; Populus, Juglans and Fraxinus pollen to agricultural areas; forests and wetlands were sources of Alnus and Quercus pollen. Salix, Populus and Betula pollen were also mainly associated to wetlands. The landscape context drives the airborne tree pollen composition at a meso-scale (1−5 km) rather than at finer scale (20−500 m). Thus, land cover types (e.g. forest, bush land, agricultural lands and wetlands) surrounding urban areas may increase exposure to allergenic pollen in the urban area, potentially affecting the health of a large proportion of the population. [ABSTRACT FROM AUTHOR]