Relevant source area of pollen (RSAP) andpollen productivity for 11 key taxa characteristic of thepasture woodland landscape of the Jura Mountains, Switzerland,were estimated using pollen assemblages frommoss polsters at 20 sites. To obtain robust pollen productivityestimates (PPEs), we used vegetation survey data at afine spatial-resolution (1 9 1 m2) and randomized locationsfor sampling sites, techniques rarely used inpalynology. Three Extended R value (ERV) submodels andthree distance-weighting methods for plant abundancecalculation were applied. Different combinations of thesubmodels and distance-weighting methods provideslightly different estimates of RSAP and PPEs. AlthoughERV submodel 1 using 1/d (d = distance in meters) bestfits the dataset, PPE values for heavy pollen types (e.g.Abies) were sensitive to the method used for distanceweighting.Taxon-specific distance-weighting methods,such as Prentice's model, emphasize the intertaxonomicdifferences in pollen dispersal and deposition, and are thustheoretically sound. For the dataset obtained in this project,Prentice's model was more appropriate than other distanceweightingmethods to estimate PPEs. Most of the taxa havePPEs equal to (Fagus, Plantago media and Potentillatype),or higher (Abies, Picea, Rubiaceae and Trolliuseuropaeus) than Poaceae (PPE = 1). Acer, Cyperaceae,and Plantago montana-type are low pollen producers. Thisset of PPEs will be useful for reconstructing heterogeneous,mountainous pasture woodland landscapes from fossilpollen records. The RSAP for moss polsters in this semiopenlandscape region is ca. 300 m.