We present a first attempt at pollen based quantitative reconstruction of land cover around 9 Danish lake sites for the past 2500 years, based on models of pollen dispersal and -deposition (Prentice, 1985; Sugita, 1993, 1994), and pollen productivity estimates produced from a historical calibration dataset of AD 1800 pollen assemblages and historical plant abundance (Nielsen, 2004; Nielsen & Odgaard, 2005). A new model, REVEALS (Sugita, in press), is used to reconstruct past regional abundance of the plant groups trees, grasses, cereals and heather, in 500 year intervals. These estimates are then used in the Landscape Reconstruction Algorithm, LRA, (Sugita & Walker, 2000; Sugita, in press) to separate background and local pollen signals at small sites, thus providing reconstructions of local vegetation around the sites.
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3rd LaSys Workshop: Land system science - Handling complex series of natural and socio-economic processes, 2007