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The Holocene vegetation cover of Britain and Ireland: Overcoming problems of scale and discerning patterns of openness

  • Ralph M. Fyfe*
  • , Claire Twiddle
  • , Shinya Sugita
  • , Marie José Gaillard
  • , Philip Barratt
  • , Christopher J. Caseldine
  • , John Dodson
  • , Kevin J. Edwards
  • , Michelle Farrell
  • , Cynthia Froyd
  • , Michael J. Grant
  • , Elizabeth Huckerby
  • , James B. Innes
  • , Helen Shaw
  • , Martyn Waller
  • *Corresponding author for this work
  • University of Plymouth
  • Tallinn University
  • Linnaeus University
  • Queen's University Belfast
  • University of Exeter
  • Australian Nuclear Science and Technology Organisation
  • University of Hull
  • Swansea University
  • Kingston University
  • Oxford Archaeology North
  • Durham University
  • Lancaster University
  • Wessex Archaeology

Research output: Contribution to journal › Article › peer-review

Abstract

The vegetation of Europe has undergone substantial changes during the course of the Holocene epoch, resulting from range expansion of plants following climate amelioration, competition between taxa and disturbance through anthropogenic activities. Much of the detail of this pattern is understood from decades of pollen analytical work across Europe, and this understanding has been used to address questions relating to vegetation-climate feedback, biogeography and human impact. Recent advances in modelling the relationship between pollen and vegetation now make it possible to transform pollen proportions into estimates of vegetation cover at both regional and local spatial scales, using the Landscape Reconstruction Algorithm (LRA), i.e. the REVEALS (Regional Estimates of VEgetation Abundance from Large Sites) and the LOVE (LOcal VEgetation) models. This paper presents the compilation and analysis of 73 pollen stratigraphies from the British Isles, to assess the application of the LRA and describe the pattern of landscape/woodland openness (i.e. the cover of low herb and bushy vegetation) through the Holocene. The results show that multiple small sites can be used as an effective replacement for a single large site for the reconstruction of regional vegetation cover. The REVEALS vegetation estimates imply that the British Isles had a greater degree of landscape/woodland openness at the regional scale than areas on the European mainland. There is considerable spatial bias in the British Isles dataset towards wetland areas and uplands, which may explain higher estimates of landscape openness compared with Europe. Where multiple estimates of regional vegetation are available from within the same region inter-regional differences are greater than intra-regional differences, supporting the use of the REVEALS model to the estimation of regional vegetation from pollen data.

Original languageEnglish
Pages (from-to)132-148
Number of pages17
JournalQuaternary Science Reviews
Volume73
Early online date19 Jun 2013
DOIs
Publication statusPublished - 1 Aug 2013

Bibliographical note

This paper is a contribution to the LANDCLIM (LANDcover–CLIMate interactions in NW Europe during the Holocene) project and research network, supported by the Swedish (VR) and Nordic (Nordforsk) Research Councils, co-ordinated by Marie-José Gaillard. The authors are grateful to all members of the LANDCLIM network for fruitful discussions through the course of the network. Much of the data used in this paper were drawn from the European Pollen Database, and we are grateful to those authors who have contributed data for the benefit of the wider community. We would like to thank Rob Marchant and Fraser Mitchell for help accessing records from Ireland and Bas van Geel for allowing us to use data from Carbury Bog. Neil Roberts and the reviewers are thanked for providing valuable constructive criticism on an earlier draft of the manuscript.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • British Isles
  • Holocene
  • Landscape openness
  • Pollen analysis
  • REVEALS
  • Vegetation

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