Advanced

Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation - a review

Broström, Anna LU ; Hjelle, K; Nielsen, A.B.; Binney, H; Bunting, MJ; Fyfe, R; Gaillard, M-J; Mazier, F; Meltsov, V and Poska, A, et al. (2008) In Vegetation History and Archaeobotany 17(5). p.461-478
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
landscape reconstruction algorithm, pollen productivity estimates (PPE), (LRA), tree taxa, herb taxa, moss polsters, lake sediments
in
Vegetation History and Archaeobotany
volume
17
issue
5
pages
461 - 478
publisher
Springer
external identifiers
  • wos:000258317500004
  • scopus:49549092000
ISSN
0939-6314
DOI
10.1007/s00334-008-0148-8
language
English
LU publication?
yes
id
85c35f1e-c6cb-4870-b2d4-fd8d2ccdd1e4 (old id 1034226)
date added to LUP
2008-03-19 13:48:17
date last changed
2017-11-19 03:44:21
@article{85c35f1e-c6cb-4870-b2d4-fd8d2ccdd1e4,
  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.},
  author       = {Broström, Anna and Hjelle, K and Nielsen, A.B. and Binney, H and Bunting, MJ and Fyfe, R and Gaillard, M-J and Mazier, F and Meltsov, V and Poska, A and Räsänen, S and Soepboer, W and von Stedingk, H and Sugita, S and Suutari, H},
  issn         = {0939-6314},
  keyword      = {landscape reconstruction algorithm,pollen productivity estimates (PPE),(LRA),tree taxa,herb taxa,moss polsters,lake sediments},
  language     = {eng},
  number       = {5},
  pages        = {461--478},
  publisher    = {Springer},
  series       = {Vegetation History and Archaeobotany},
  title        = {Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation - a review},
  url          = {http://dx.doi.org/10.1007/s00334-008-0148-8},
  volume       = {17},
  year         = {2008},
}