|
|||||
|
|
Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review |
|
| Authors: | Anna Broström Anne Birgitte Nielsen Marie-José Gaillard Kari Hjelle Florence Mazier Heather Binney Jane Bunting Ralph Fyfe Viveca Meltsov Anneli Poska Satu Räsänen Welmoed Soepboer Henrik von Stedingk Henna Suutari Shinya Sugita |
| Institution: | 1. Geobiosphere Science Centre, Lund University, S?lvegatan 12, 22362, Lund, Sweden 2. Department of Quaternary Geology, Geological Survey of Greenland and Denmark, ?. Voldgade 10, 1350, Copenhagen, Denmark 3. School of Pure and Applied Natural Sciences, University of Kalmar, 39182, Kalmar, Sweden 4. Natural History Collections, University of Bergen, 5007, Bergen, Norway 5. Faculty of Science, UMR 6565, 25000, Besan?on, France 6. Palaeoecology Laboratory, University of Southampton, University Road, Southampton, SO1 7BJ, UK 7. Department of Geography, University of Hull, Kingston-Upon-Hull, HU6 7RX, UK 8. School of Geography, University of Plymouth, Plymouth, PL4 8AA, UK 9. Institute of Geology at Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia 10. Department of Geography, University of Oulu, P.O.Box 3000, 90014, Oulu, Finland 11. Department of Palaeoecology, Institute of Environmental Biology, Laboratory of Palaeobotany and Palynology, Utrecht University, Budapestlaan 4, 3584 CD, Utrecht, The Netherlands 12. Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 901 83, Ume?, Sweden 13. University of Minnesota, Ecology, Evolution, and Behavior, 100 Ecology Building, 1987, Upper Buford Circle, St Paul, MN, 55108, USA |
| Abstract: | Information on the spatial distribution of past vegetation on local, regional and global scales is increasingly used within climate modelling, nature conservancy and archaeology. It is possible to obtain such information from fossil pollen records in lakes and bogs using the landscape reconstruction algorithm (LRA) and its two models, REVEALS and LOVE. These models assume that reliable pollen productivity estimates (PPEs) are available for the plant taxa involved in the quantitative reconstructions of past vegetation, and that PPEs are constant through time. This paper presents and discusses the PPEs for 15 tree and 18 herb taxa obtained in nine study areas of Europe. Observed differences in PPEs between regions may be explained by methodological issues and environmental variables, of which climate and related factors such as reproduction strategies and growth forms appear to be the most important. An evaluation of the PPEs at hand so far suggests that they can be used in modelling applications and quantitative reconstructions of past vegetation, provided that consideration of past environmental variability within the region is used to inform selection of PPEs, and bearing in mind that PPEs might have changed through time as a response to climate change. Application of a range of possible PPEs will allow a better evaluation of the results. |
| Keywords: | Pollen productivity estimates (PPE) Landscape reconstruction algorithm (LRA) Tree taxa Herb taxa Moss polsters Lake sediments |
| 本文献已被 SpringerLink 等数据库收录！ | |