Gaillard, M., Sugita, S., Bunting, M. J., Middleton, R., Broström, A., Caseldine, C. J., Giesecke, T., Hellman, S., Hicks, S. P., Hjelle, K., Langdon, C., Nielsen, A., Poska, A., von Stedingk, H. and Veski, S. (2008). The use of modelling and simulation approach in reconstructing past landscapes from fossil pollen data. Special Issue. Vol 17(5), pp. 419-443. https://doi.org/10.1007/s00334-008-0169-3.

Title
Title
The title of the publication or report
Title:
The use of modelling and simulation approach in reconstructing past landscapes from fossil pollen data
Subtitle
Subtitle
The sub title of the publication or report
Subtitle:
a review and results from the POLLANDCAL network
Issue
Issue
The name of the volume or issue
Issue:
Special Issue
Series
Series
The series the publication or report is included in
Series:
Vegetation History and Archaeobotany
Volume
Volume
Volume number and part
Volume:
17 (5)
Number of Pages
Number of Pages
The number of pages in the publication or report
Number of Pages:
201
Page Start/End
Page Start/End
The start and end page numbers.
Page Start/End:
419 - 443
Biblio Note
Biblio Note
This is a Bibliographic record only.
Biblio Note
The ADS have no files for download on this page but further information is available online, normally as an electronic version maintained by the Publisher, or held in a larger collection such as an ADS Archive. Please refer to the DOI or URI listed in the Relations section of this record to locate the information you require. In the case of non-ADS resources, please be aware that we cannot advise further on availability.
Publication Type
Publication Type
The type of publication - report, monograph, journal article or chapter from a book
Publication Type:
Journal
Abstract
Abstract
The abstract describing the content of the publication or report
Abstract:
Information on past land cover in terms of absolute areas of different landscape units (forest, open land, pasture land, cultivated land, etc.) at local to regional scales is needed to test hypotheses and answer questions related to climate change (e.g. feedbacks effects of land-cover change), archaeological research, and nature conservancy (e.g. management strategy). The palaeoecological technique best suited to achieve quantitative reconstruction of past vegetation is pollen analysis. A simulation approach developed by Sugita (the computer model POLLSCAPE) which uses models based on the theory of pollen analysis is presented together with examples of application. POLLSCAPE has been adopted as the central tool for POLLANDCAL (POLlen/LANdscape CALibration), an international research network focusing on this topic. The theory behind models of the pollen'“vegetation relationship and POLLSCAPE is reviewed. The two model outputs which receive greatest attention are the relevant source area of pollen (RSAP) and pollen loading in mires and lakes. Six examples of application of POLLSCAPE are presented, each of which explores a possible use of the POLLANDCAL tools and a means of validating or evaluating the models with empirical data. The landscape and vegetation factors influencing the size of the RSAP, the importance of pollen productivity estimates (PPEs) for the model outputs, the detection of small and rare patches of plant taxa in pollen records, and quantitative reconstructions of past vegetation and landscapes are discussed on the basis of these examples. The simulation approach is argued to be useful both for exploring different vegetation/landscape scenarios and for refuting hypotheses.
Author
Author
The authors of this publication or report
Author:
Marie-José Gaillard
Shinya Sugita
M J Bunting
Richard Middleton
Anna Broström
Christopher J Caseldine
Thomas Giesecke
Sophie E V Hellman
Sheila P Hicks
Kari Hjelle
Catherine Langdon
Anne-Birgitte Nielsen
Anneli Poska
Henrik von Stedingk
Sim Veski
Year of Publication
Year of Publication
The year the book, article or report was published
Year of Publication:
2008
Locations
Locations
Any locations covered by the publication or report. This is not the place the book or report was published.
Subjects / Periods:
Pollen (Auto Detected Subject)
Source
Source
Where the record has come from or which dataset it was orginally included in.
Source:
Source icon
BIAB (biab_online)
Relations
Relations
Other resources which are relevant to this publication or report
Relations:
DOI: https://doi.org/10.1007/s00334-008-0169-3
Created Date
Created Date
The date the record of the pubication was first entered
Created Date:
25 Mar 2013