Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review
Anna Brostrom
(1)
,
Anne Brigitte Nielsen
(2)
,
M.J. Gaillard
(3)
,
Kari Hjelle
(4)
,
Florence Mazier
(5)
,
Heather Binney
(6)
,
Jane Bunting
(7)
,
Ralph Fyfe
(8)
,
Viveca Meltsov
(9)
,
Anneli Poska
(9)
,
Satu Rasanen
(10)
,
Welmoed Soepboer
(11)
,
Henirk von Stedingk
(12)
,
Shinya Sugita
(13)
1
Skane University Hospital [Lund]
2 Department of Quaternary Geology
3 School of Pure and Applied Natural Sciences
4 Natural History Collections
5 GEODE - Géographie de l'environnement
6 Palaeoecology Laboratory
7 Department of Geography
8 School of Geography
9 Institute of Geology at Tallin University of technology
10 Department of Geography [Oulu]
11 Department of Palaeoecology
12 Department of Forest ecology and Management
13 UMN - University of Minnesota System
2 Department of Quaternary Geology
3 School of Pure and Applied Natural Sciences
4 Natural History Collections
5 GEODE - Géographie de l'environnement
6 Palaeoecology Laboratory
7 Department of Geography
8 School of Geography
9 Institute of Geology at Tallin University of technology
10 Department of Geography [Oulu]
11 Department of Palaeoecology
12 Department of Forest ecology and Management
13 UMN - University of Minnesota System
Résumé
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 reconstruc -tions 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 pastvegetation, 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.
Domaines
GéographieFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review
|
Résumé |
en
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 reconstruc -tions 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 pastvegetation, 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.
|
Auteur(s) |
Anna Brostrom
1
, Anne Brigitte Nielsen
2
, M.J. Gaillard
3
, Kari Hjelle
4
, Florence Mazier
5
, Heather Binney
6
, Jane Bunting
7
, Ralph Fyfe
8
, Viveca Meltsov
9
, Anneli Poska
9
, Satu Rasanen
10
, Welmoed Soepboer
11
, Henirk von Stedingk
12
, Shinya Sugita
13
1
Skane University Hospital [Lund]
( 344927 )
- Getingevägen 4, 222 41 Lund
- Suède
2
Department of Quaternary Geology
( 402256 )
-
- Danemark
3
School of Pure and Applied Natural Sciences
( 246782 )
- 39182 Kalmar
- Suède
4
Natural History Collections
( 402257 )
-
- Norvège
5
GEODE -
Géographie de l'environnement
( 742 )
- 5 Allée Antonio Machado 31058 TOULOUSE CEDEX 1
- France
6
Palaeoecology Laboratory
( 402258 )
-
- Royaume-Uni
7
Department of Geography
( 402259 )
-
- Royaume-Uni
8
School of Geography
( 402260 )
-
- Royaume-Uni
9
Institute of Geology at Tallin University of technology
( 402261 )
-
- Estonie
10
Department of Geography [Oulu]
( 127601 )
- University of Oulu, PB 3000, FI-90014 Oulu, Finland
- Finlande
11
Department of Palaeoecology
( 402263 )
-
- Pays-Bas
12
Department of Forest ecology and Management
( 402264 )
-
- Suède
13
UMN -
University of Minnesota System
( 566446 )
- États-Unis
|
Comité de lecture |
Oui
|
Vulgarisation |
Non
|
Langue du document |
Anglais
|
Nom de la revue |
|
Audience |
Internationale
|
Date de publication |
2008
|
Volume |
17
|
Page/Identifiant |
461-478
|
Domaine(s) |
|
Mots-clés |
en
Pollen productivity estimates (PPE, Landscape reconstruction algorithm (LRA), Tree taxa, Herb taxa, Moss polsters, Lake sediments
|
Origine :
Accord explicite pour ce dépôt
Loading...