globalchange  > 过去全球变化的重建
DOI: 10.1016/j.quascirev.2014.01.011
Scopus记录号: 2-s2.0-84893739652
论文题名:
Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: Comparison and synthesis with other quantitative reconstruction methods
作者: Salonen J.S.; Luoto M.; Alenius T.; Heikkilä M.; Seppä H.; Telford R.J.; Birks H.J.B.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2014
卷: 88
起始页码: 69
结束页码: 81
语种: 英语
英文关键词: Holocene ; Lateglacial ; Modern-analogue technique ; Northern Europe ; Weighted averaging
英文摘要: We test and analyse a new calibration method, boosted regression trees (BRTs) in palaeoclimatic reconstructions based on fossil pollen assemblages. We apply BRTs to multiple Holocene and Lateglacial pollen sequences from northern Europe, and compare their performance with two commonly-used calibration methods: weighted averaging regression (WA) and the modern-analogue technique (MAT). Using these calibration methods and fossil pollen data, we present synthetic reconstructions of Holocene summer temperature, winter temperature, and water balance changes in northern Europe. Highly consistent trends are found for summer temperature, with a distinct Holocene thermal maximum at ca8000-4000cal. a BP, with a mean Tjja anomaly of ca+0.7°C at 6ka compared to 0.5ka. We were unable to reconstruct reliably winter temperature or water balance, due to the confounding effects of summer temperature and the great between-reconstruction variability. We find BRTs to be a promising tool for quantitative reconstructions from palaeoenvironmental proxy data. BRTs show good performance in cross-validations compared with WA and MAT, can model a variety of taxon response types, find relevant predictors and incorporate interactions between predictors, and show some robustness with non-analogue fossil assemblages. © 2014 Elsevier Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60362
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: Department of Geosciences and Geography, University of Helsinki, PO Box 64, Helsinki, Finland; Department of Philosophy, History, Culture and Art Studies, University of Helsinki, PO Box 59, Helsinki, Finland; Department of Archaeology, University of Turku, Turku, Finland; Department of Environmental Sciences, ECRU, University of Helsinki, Helsinki, Finland; Department of Biology, University of Bergen, PO Box 7083, N-5020 Bergen, Norway; Bjerknes Centre for Climate Research, Allégaten 55, N-5007 Bergen, Norway; Environmental Change Research Centre, University College London, London WC1E 6BT, United Kingdom; School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, United Kingdom

Recommended Citation:
Salonen J.S.,Luoto M.,Alenius T.,et al. Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: Comparison and synthesis with other quantitative reconstruction methods[J]. Quaternary Science Reviews,2014-01-01,88
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Salonen J.S.]'s Articles
[Luoto M.]'s Articles
[Alenius T.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Salonen J.S.]'s Articles
[Luoto M.]'s Articles
[Alenius T.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Salonen J.S.]‘s Articles
[Luoto M.]‘s Articles
[Alenius T.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.