Literature DB >> 25204435

Pollen-based quantitative reconstructions of Holocene regional vegetation cover (plant-functional types and land-cover types) in Europe suitable for climate modelling.

A-K Trondman1, M-J Gaillard, F Mazier, S Sugita, R Fyfe, A B Nielsen, C Twiddle, P Barratt, H J B Birks, A E Bjune, L Björkman, A Broström, C Caseldine, R David, J Dodson, W Dörfler, E Fischer, B van Geel, T Giesecke, T Hultberg, L Kalnina, M Kangur, P van der Knaap, T Koff, P Kuneš, P Lagerås, M Latałowa, J Lechterbeck, C Leroyer, M Leydet, M Lindbladh, L Marquer, F J G Mitchell, B V Odgaard, S M Peglar, T Persson, A Poska, M Rösch, H Seppä, S Veski, L Wick.   

Abstract

We present quantitative reconstructions of regional vegetation cover in north-western Europe, western Europe north of the Alps, and eastern Europe for five time windows in the Holocene [around 6k, 3k, 0.5k, 0.2k, and 0.05k calendar years before present (bp)] at a 1° × 1° spatial scale with the objective of producing vegetation descriptions suitable for climate modelling. The REVEALS model was applied on 636 pollen records from lakes and bogs to reconstruct the past cover of 25 plant taxa grouped into 10 plant-functional types and three land-cover types [evergreen trees, summer-green (deciduous) trees, and open land]. The model corrects for some of the biases in pollen percentages by using pollen productivity estimates and fall speeds of pollen, and by applying simple but robust models of pollen dispersal and deposition. The emerging patterns of tree migration and deforestation between 6k bp and modern time in the REVEALS estimates agree with our general understanding of the vegetation history of Europe based on pollen percentages. However, the degree of anthropogenic deforestation (i.e. cover of cultivated and grazing land) at 3k, 0.5k, and 0.2k bp is significantly higher than deduced from pollen percentages. This is also the case at 6k in some parts of Europe, in particular Britain and Ireland. Furthermore, the relationship between summer-green and evergreen trees, and between individual tree taxa, differs significantly when expressed as pollen percentages or as REVEALS estimates of tree cover. For instance, when Pinus is dominant over Picea as pollen percentages, Picea is dominant over Pinus as REVEALS estimates. These differences play a major role in the reconstruction of European landscapes and for the study of land cover-climate interactions, biodiversity and human resources.
© 2014 The Authors Global Change Biology Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Europe; Holocene; REVEALS model; plant-functional types; pollen data; quantitative past land cover

Mesh:

Year:  2014        PMID: 25204435     DOI: 10.1111/gcb.12737

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  9 in total

1.  A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover.

Authors:  Furong Li; Marie-José Gaillard; Qinghai Xu; Mairi J Bunting; Yuecong Li; Jie Li; Huishuang Mu; Jingyao Lu; Panpan Zhang; Shengrui Zhang; Qiaoyu Cui; Yahong Zhang; Wei Shen
Journal:  Front Plant Sci       Date:  2018-09-05       Impact factor: 5.753

2.  Land uplift creates important meadow habitat and a potential original niche for grassland species.

Authors:  Alistair G Auffret; Sara A O Cousins
Journal:  Proc Biol Sci       Date:  2018-04-11       Impact factor: 5.349

3.  Twenty-first century approaches to ancient problems: Climate and society.

Authors:  Jade A d'Alpoim Guedes; Stefani A Crabtree; R Kyle Bocinsky; Timothy A Kohler
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-12       Impact factor: 11.205

4.  The origin of grasslands in the temperate forest zone of east-central Europe: long-term legacy of climate and human impact.

Authors:  Petr Kuneš; Helena Svobodová-Svitavská; Jan Kolář; Mária Hajnalová; Vojtěch Abraham; Martin Macek; Peter Tkáč; Péter Szabó
Journal:  Quat Sci Rev       Date:  2015-05-15       Impact factor: 4.112

5.  European Forest Cover During the Past 12,000 Years: A Palynological Reconstruction Based on Modern Analogs and Remote Sensing.

Authors:  Marco Zanon; Basil A S Davis; Laurent Marquer; Simon Brewer; Jed O Kaplan
Journal:  Front Plant Sci       Date:  2018-03-08       Impact factor: 5.753

6.  Predictive pollen-based biome modeling using machine learning.

Authors:  Magdalena K Sobol; Sarah A Finkelstein
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

7.  Pollen-based reconstruction reveals the impact of the onset of agriculture on plant functional trait composition.

Authors:  Annegreet Veeken; Maria J Santos; Suzanne McGowan; Althea L Davies; Franziska Schrodt
Journal:  Ecol Lett       Date:  2022-07-11       Impact factor: 11.274

8.  Using historical ecology to reassess the conservation status of coniferous forests in Central Europe.

Authors:  Péter Szabó; Petr Kuneš; Helena Svobodová-Svitavská; Markéta Gabriela Švarcová; Lucie Křížová; Silvie Suchánková; Jana Müllerová; Radim Hédl
Journal:  Conserv Biol       Date:  2016-09-13       Impact factor: 6.560

9.  Europe's lost forests: a pollen-based synthesis for the last 11,000 years.

Authors:  N Roberts; R M Fyfe; J Woodbridge; M-J Gaillard; B A S Davis; J O Kaplan; L Marquer; F Mazier; A B Nielsen; S Sugita; A-K Trondman; M Leydet
Journal:  Sci Rep       Date:  2018-01-15       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.