Quantitative forest‐composition sensing characteristics of pollen samples from Swedish lakes

摘要: Prentice, I. Colin, Berglund, Bjorn E. & Olsson, Tommy 1987 03 01: Quantitative forest-composition sensing characteristics of pollen samples from Swedish lakes. Boreas, Vol. 16, pp. 43–54. Oslo. ISSN 0300–9483. Surface percentages major tree genera in 53 moderate-sized lakes south and central Sweden were compared with mean forest volume derived survey plots within 5, 10, 20, 50 100 km each lake. A maximum likelihood extended R-value method was used to estimate relative slopes intercepts the pollen-tree relationship at sampling radius. Slopes generally went up down as radius increased. Visual goodness-of-fit optimal 5–10 for Picea 50–100 Pinus, consistent theoretical source areas. Fagus gave good visual fits all radii, but Quercus indifferent Betula Alnus poor fits. The taxa differed representation, R-values on order 0.11 Picea, 0.90 Fagus, 1.0 1.5 Quercus, 2.3 2.5 Betula. Regional patterns can be reconstructed lake spectra by applying R-values, ‘region’ represented depends taxon's dispersal spatial pattern. given here could calibrate European Holocene long-term dynamic mapping.