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dc.contributor.authorGithumbi, E
dc.contributor.authorPirzamanbein, B
dc.contributor.authorLindström, J
dc.contributor.authorPoska, A
dc.contributor.authorFyfe, R
dc.contributor.authorMazier, F
dc.contributor.authorNielsen, AB
dc.contributor.authorSugita, S
dc.contributor.authorTrondman, A-K
dc.contributor.authorWoodbridge, J
dc.contributor.authorGaillard, M-J
dc.date.accessioned2021-12-01T13:39:05Z
dc.date.issued2022-02-24
dc.identifier.issn2296-701X
dc.identifier.issn2296-701X
dc.identifier.otherARTN 795794
dc.identifier.urihttp://hdl.handle.net/10026.1/18429
dc.description.abstract

<jats:p>Realistic and accurate reconstructions of past vegetation cover are necessary to study past environmental changes. This is important since the effects of human land-use changes (e.g. agriculture, deforestation and afforestation/reforestation) on biodiversity and climate are still under debate. Over the last decade, development, validation, and application of pollen-vegetation relationship models have made it possible to estimate plant abundance from fossil pollen data at both local and regional scales. In particular, the REVEALS model has been applied to produce datasets of past regional plant cover at 1° spatial resolution at large subcontinental scales (North America, Europe, and China). However, such reconstructions are spatially discontinuous due to the discrete and irregular geographical distribution of sites (lakes and peat bogs) from which fossil pollen records have been produced. Therefore, spatial statistical models have been developed to create continuous maps of past plant cover using the REVEALS-based land cover estimates. In this paper, we present the first continuous time series of spatially complete maps of past plant cover across Europe during the Holocene (25 time windows covering the period from 11.7 k BP to present). We use a spatial-statistical model for compositional data to interpolate REVEALS-based estimates of three major land-cover types (LCTs), i.e., evergreen trees, summer-green trees and open land (grasses, herbs and low shrubs); producing spatially complete maps of the past coverage of these three LCTs. The spatial model uses four auxiliary data sets—latitude, longitude, elevation, and independent scenarios of past anthropogenic land-cover change based on per-capita land-use estimates (“standard” KK10 scenarios)—to improve model performance for areas with complex topography or few observations. We evaluate the resulting reconstructions for selected time windows using present day maps from the European Forest Institute, cross validate, and compare the results with earlier pollen-based spatially-continuous estimates for five selected time windows, i.e., 100 BP-present, 350–100 BP, 700–350 BP, 3.2–2.7 k BP, and 6.2–5.7 k BP. The evaluations suggest that the statistical model provides robust spatial reconstructions. From the maps we observe the broad change in the land-cover of Europe from dominance of naturally open land and persisting remnants of continental ice in the Early Holocene to a high fraction of forest cover in the Mid Holocene, and anthropogenic deforestation in the Late Holocene. The temporal and spatial continuity is relevant for land-use, land-cover, and climate research.</jats:p>

dc.language.isoen
dc.publisherFrontiers Media
dc.subjectland-cover maps
dc.subjectHolocene
dc.subjectreveals
dc.subjectland use
dc.subjectspatial interpolation
dc.titlePollen-based maps of past regional vegetation cover in Europe over twelve millennia - evaluation and potential
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000770574800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume10
plymouth.publisher-urlhttp://dx.doi.org/10.3389/fevo.2022.795794
plymouth.publication-statusPublished online
plymouth.journalFrontiers in Ecology and Evolution
dc.identifier.doi10.3389/fevo.2022.795794
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Admin Group - REF
plymouth.organisational-group/Plymouth/Admin Group - REF/REF Admin Group - FoSE
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Geography, Earth and Environmental Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA14 Geography and Environmental Studies
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Centre for Research in Environment and Society (CeRES)
plymouth.organisational-group/Plymouth/Research Groups/Centre for Research in Environment and Society (CeRES)/CeRES (Reporting)
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2022-01-28
dc.rights.embargodate2022-3-12
dc.identifier.eissn2296-701X
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3389/fevo.2022.795794
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2022-02-24
rioxxterms.typeJournal Article/Review


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