A method for reconstructing temporal changes in vegetation functional trait composition using Holocene pollen assemblages.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 17 09 2018
accepted: 28 04 2019
entrez: 30 5 2019
pubmed: 30 5 2019
medline: 24 1 2020
Statut: epublish

Résumé

Methods of reconstructing changes in plant traits over long time scales are needed to understand the impact of changing environmental conditions on ecosystem processes and services. Although Holocene pollen have been extensively used to provide records of vegetation history, few studies have adopted a functional trait approach that is pertinent to changes in ecosystem processes. Here, for woody and herbaceous fen peatland communities, we use modern pollen and vegetation data combined with pollen records from Holocene deposits to reconstruct vegetation functional dynamics. The six traits chosen (measures of leaf area-to-mass ratio and leaf nutrient content) are known to modulate species' fitness and to vary with changes in ecosystem processes. We fitted linear mixed effects models between community weighted mean (CWM) trait values of the modern pollen and vegetation to determine whether traits assigned to pollen types could be used to reconstruct traits found in the vegetation from pollen assemblages. We used relative pollen productivity (RPP) correction factors in an attempt to improve this relationship. For traits showing the best fit between modern pollen and vegetation, we applied the model to dated Holocene pollen sequences from Fenland and Romney Marsh in eastern and southern England and reconstructed temporal changes in trait composition. RPP adjustment did not improve the linear relationship between modern pollen and vegetation. Leaf nutrient traits (leaf C and N) were generally more predictable from pollen data than mass-area traits. We show that inferences about biomass accumulation and decomposition rates can be made using Holocene trait reconstructions. While it is possible to reconstruct community-level trends for some leaf traits from pollen assemblages preserved in sedimentary archives in wetlands, we show the importance of testing methods in modern systems first and encourage further development of this approach to address issues concerning the pollen-plant abundance relationship and pollen source area.

Identifiants

pubmed: 31141538
doi: 10.1371/journal.pone.0216698
pii: PONE-D-18-27014
pmc: PMC6541253
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0216698

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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Auteurs

Fabio Carvalho (F)

Department of Geography and Geology, Kingston University London, Kingston upon Thames, United Kingdom.

Kerry A Brown (KA)

Department of Geography and Geology, Kingston University London, Kingston upon Thames, United Kingdom.

Martyn P Waller (MP)

Department of Geography and Geology, Kingston University London, Kingston upon Thames, United Kingdom.

M Jane Bunting (MJ)

School of Environmental Sciences, University of Hull, Hull, United Kingdom.

Arnoud Boom (A)

School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom.

Melanie J Leng (MJ)

NERC Isotope Geosciences Laboratory, British Geological Survey, Nottingham, United Kingdom.
Centre for Environmental Geochemistry, School of Biosciences, University of Nottingham, Loughborough, United Kingdom.

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Classifications MeSH