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Approaches to quantitative reconstruction of woody vegetation in managed woodlands from pollen records

Approaches to quantitative reconstruction of woody vegetation in managed woodlands from pollen records
Approaches to quantitative reconstruction of woody vegetation in managed woodlands from pollen records
There has been increasing interest in developing quantitative methods for reconstructing the dynamics of cultural landscapes over the last 15 years. This paper adds to this literature by using various approaches to reconstruct the vegetation of two woodlands subject to rotational coppicing (the periodic cutting of broadleaved trees and shrubs for wood products). Pollen deposition at ground level was determined at both sites using ‘Tauber’ traps placed near to the centre of 14 compartments of differing age in the coppice rotation. For the main woody taxa, Relative Pollen Productivity (RPP) estimates were derived using linear regression for pollen influx data and Extended R-value analysis for percentage data. The vegetation around three ponds was reconstructed by applying four methods (inverting the two RPP estimate approaches, the modern analogue technique and correction for pollen productivity using the linear regression estimated RPP values) to pollen data obtained from the uppermost sample of sediment from the ponds. To determine whether these methods gave better estimates of the vegetation composition than the original pollen proportions, the results were compared with the surveyed vegetation around each pond using the Bray–Curtis Index. Linear regression of pollen influx produced RPP values which are comparable with previous European studies, whilst for some taxa the Extended R-value analysis produced estimates which are orders of magnitude different both from values derived from the linear regression and previous work. No single approach performed equally well at reconstructing the vegetation around the ponds, and at two of the three locations the uncorrected pollen proportions were most similar to the surveyed vegetation.We conclude that applying quantitative reconstruction methods to individual small sites is, currently, not likely to be useful in complex cultural landscapes. In the context of coppiced woodland, deficiencies in our understanding of pollen taphonomy and the impact of the practice on pollen production first need to be rectified, and we identify strategies to address this situation.
0034-6667
53-66
Bunting, M. Jane
23938df2-823f-4ce2-8429-c479e15ec268
Grant, Michael J.
56dae074-d54a-4da8-858a-2bf364a5a550
Waller, Martyn
502455b4-1de8-4341-9907-dc719772c7df
Bunting, M. Jane
23938df2-823f-4ce2-8429-c479e15ec268
Grant, Michael J.
56dae074-d54a-4da8-858a-2bf364a5a550
Waller, Martyn
502455b4-1de8-4341-9907-dc719772c7df

Bunting, M. Jane, Grant, Michael J. and Waller, Martyn (2016) Approaches to quantitative reconstruction of woody vegetation in managed woodlands from pollen records. Review of Palaeobotany and Palynology, 225, 53-66. (doi:10.1016/j.revpalbo.2015.10.012).

Record type: Article

Abstract

There has been increasing interest in developing quantitative methods for reconstructing the dynamics of cultural landscapes over the last 15 years. This paper adds to this literature by using various approaches to reconstruct the vegetation of two woodlands subject to rotational coppicing (the periodic cutting of broadleaved trees and shrubs for wood products). Pollen deposition at ground level was determined at both sites using ‘Tauber’ traps placed near to the centre of 14 compartments of differing age in the coppice rotation. For the main woody taxa, Relative Pollen Productivity (RPP) estimates were derived using linear regression for pollen influx data and Extended R-value analysis for percentage data. The vegetation around three ponds was reconstructed by applying four methods (inverting the two RPP estimate approaches, the modern analogue technique and correction for pollen productivity using the linear regression estimated RPP values) to pollen data obtained from the uppermost sample of sediment from the ponds. To determine whether these methods gave better estimates of the vegetation composition than the original pollen proportions, the results were compared with the surveyed vegetation around each pond using the Bray–Curtis Index. Linear regression of pollen influx produced RPP values which are comparable with previous European studies, whilst for some taxa the Extended R-value analysis produced estimates which are orders of magnitude different both from values derived from the linear regression and previous work. No single approach performed equally well at reconstructing the vegetation around the ponds, and at two of the three locations the uncorrected pollen proportions were most similar to the surveyed vegetation.We conclude that applying quantitative reconstruction methods to individual small sites is, currently, not likely to be useful in complex cultural landscapes. In the context of coppiced woodland, deficiencies in our understanding of pollen taphonomy and the impact of the practice on pollen production first need to be rectified, and we identify strategies to address this situation.

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More information

Submitted date: 15 September 2015
Accepted/In Press date: 13 October 2015
e-pub ahead of print date: 10 November 2015
Published date: February 2016
Organisations: Geology & Geophysics, Archaeology

Identifiers

Local EPrints ID: 381568
URI: https://eprints.soton.ac.uk/id/eprint/381568
ISSN: 0034-6667
PURE UUID: 7e31941e-3f38-4e3e-b7db-23c243fcb63a
ORCID for Michael J. Grant: ORCID iD orcid.org/0000-0002-4766-6913

Catalogue record

Date deposited: 15 Sep 2015 08:48
Last modified: 06 Jun 2018 12:23

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