From forest to farmland: pollen-inferred land cover change across Europe using the pseudobiomization approach.
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dc.contributor.author | Fyfe, Ralph M | |
dc.contributor.author | Woodbridge, Jessie | |
dc.contributor.author | Roberts, Neil | |
dc.coverage.spatial | MEDIAN LATITUDE: 58.664667 * MEDIAN LONGITUDE: 36.733559 * SOUTH-BOUND LATITUDE: 29.477222 * WEST-BOUND LONGITUDE: -20.609722 * NORTH-BOUND LATITUDE: 76.668333 * EAST-BOUND LONGITUDE: 123.350000 * DATE/TIME START: 1919-09-15T00:00:00 * DATE/TIME END: 2009-06-30T00:00:00 | |
dc.date.accessioned | 2019-11-24T08:24:32Z | |
dc.date.available | 2019-11-24T08:24:32Z | |
dc.date.issued | 2015-10-14 | |
dc.identifier | https://doi.pangaea.de/10.1594/PANGAEA.853947 | |
dc.identifier | https://doi.org/10.1594/PANGAEA.853947 | |
dc.identifier.citation | Fyfe, Ralph M; Woodbridge, Jessie; Roberts, Neil (2015): From forest to farmland: pollen-inferred land cover change across Europe using the pseudobiomization approach. Global Change Biology, 21(3), 1197-1212, https://doi.org/10.1111/gcb.12776 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/7748 | |
dc.description.abstract | Maps of continental-scale land cover are utilized by a range of diverse users but whilst a range of products exist that describe present and recent land cover in Europe, there are currently no datasets that describe past variations over long time-scales. User groups with an interest in past land cover include the climate modelling community, socio-ecological historians and earth system scientists. Europe is one of the continents with the longest histories of land conversion from forest to farmland, thus understanding land cover change in this area is globally significant. This study applies the pseudobiomization method (PBM) to 982 pollen records from across Europe, taken from the European Pollen Database (EPD) to produce a first synthesis of pan-European land cover change for the period 9000 BP to present, in contiguous 200 year time intervals. The PBM transforms pollen proportions from each site to one of eight land cover classes (LCCs) that are directly comparable to the CORINE land cover classification. The proportion of LCCs represented in each time window provides a spatially aggregated record of land cover change for temperate and northern Europe, and for a series of case study regions (western France, the western Alps, and the Czech Republic and Slovakia). At the European scale, the impact of Neolithic food producing economies appear to be detectable from 6000 BP through reduction in broad-leaf forests resulting from human land use activities such as forest clearance. Total forest cover at a pan-European scale moved outside the range of previous background variability from 4000 BP onwards. From 2200 BP land cover change intensified, and the broad pattern of land cover for preindustrial Europe was established by 1000 BP. Recognizing the timing of anthropogenic land cover change in Europe will further the understanding of land cover-climate interactions, and the origins of the modern cultural landscape. | |
dc.format | application/zip, 5 datasets | |
dc.language.iso | en | |
dc.publisher | PANGAEA | |
dc.relation | Deforesting Europe: link to YouTube land cover change animations (URI: https://www.youtube.com/user/JWoodbridge1) | |
dc.relation | Deforesting Europe: project homepage (URI: http://www6.plymouth.ac.uk/pages/view.asp?page=35232) | |
dc.rights | CC-BY-3.0: Creative Commons Attribution 3.0 Unported | |
dc.rights | Access constraints: unrestricted | |
dc.source | Supplement to: Fyfe, Ralph M; Woodbridge, Jessie; Roberts, Neil (2015): From forest to farmland: pollen-inferred land cover change across Europe using the pseudobiomization approach. Global Change Biology, 21(3), 1197-1212, https://doi.org/10.1111/gcb.12776 | |
dc.title | From forest to farmland: pollen-inferred land cover change across Europe using the pseudobiomization approach. | |
dc.title.alternative | Deforesting Europe: pollen-inferred Holocene land cover change using the 'pseudobiomization' approach | |
dc.type | Dataset |
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