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Pollen productivity estimates and pollen-based reconstructions of Holocene vegetation cover in Norhtern adn temperate China for climate modelling
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science.
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Model projections of future climate change require that coupled climate-vegetation models are developed and validated, i.e. these models should be able to reproduce past climate and vegetation change. Records of pollen deposited in lake bottoms and peat bogs can provide the information needed to validate these models. The aim of this thesis was i) to explore the modern relationships between pollen and vegetation in northern and temperate China and estimate pollen productivity of major plant taxa, and ii) to use the results of i) to produce the first reconstruction of plant cover in China over the last 10 000 years for the purpose of climate modelling. A study of the modern pollen-vegetation-climate relationships was performed in northwestern China (Paper I). Pollen productivity for 18 major plants of cultural landscapes in central-eastern China was estimated (Paper II). Based on a synthesis and evaluation of all existing estimates of pollen productivity in the study region, a standard dataset of pollen productivity for 31 plant taxa is proposed (Paper III). This dataset was used to achieve pollen-based REVEALS reconstructions of plant cover over the last 10 000 years in 35 regions of northern and temperate China (Paper IV). The major findings can be summarized as follows. Paper I: Annual precipitation (Pann) is the major climatic factor influencing pollen assemblages, followed by July precipitation (PJul). The shared effect of combinations of two climatic factors explains a larger portion of the variation in pollen data than individual variables. Paper II: Of the 16 reliable pollen productivities estimated, the estimates for 8 taxa are new, Castanea, Cupressaceae, Robinia/Sophora, Anthemis type/Aster type, Cannabis/Humulus, Caryophyllaceae, Cruciferae, and Galium type. Trees have in general larger pollen productivity than herbs. Paper III: Of the total 31 taxa for which estimates of pollen productivity are available in China, 13 taxa have more than 1 value. All or most of these values are similar for Artemisia, Cyperaceae, Larix, Quercus and Pinus. Eight taxa have very variable estimates. Paper IV: The REVEALS plant percentage-cover strongly differs from the pollen percentages, and they provide new important insights on past changes in plant composition and vegetation dynamics.

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2016. , 67 p.
Series
Linnaeus University Dissertations, 271/2016
Keyword [en]
climate, pollen-vegetation relationships, relative pollen productivity, REVEALS model, anthropogenic land-cover change, Holocene, China
National Category
Earth and Related Environmental Sciences
Research subject
Environmental Science, Paleoecology
Identifiers
URN: urn:nbn:se:lnu:diva-59574ISBN: 978-91-88357-52-6 (print)OAI: oai:DiVA.org:lnu-59574DiVA: diva2:1061631
Public defence
2016-12-12, Fullriggaren, Kocken, Kalmar, 09:30
Opponent
Supervisors
Available from: 2017-01-03 Created: 2017-01-03 Last updated: 2017-01-12Bibliographically approved
List of papers
1. Modern pollen–€“climate relationships in north Xinjiang, northwestern China: Implications for pollen-based reconstruction of Holocene climate
Open this publication in new window or tab >>Modern pollen–€“climate relationships in north Xinjiang, northwestern China: Implications for pollen-based reconstruction of Holocene climate
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2017 (English)In: The Holocene, ISSN 0959-6836, E-ISSN 1477-0911, Vol. 27, no 7, 951-966 p.Article in journal (Refereed) Published
Abstract [en]

Fossil pollen records are widely used to reconstruct past climate. Such reconstructions require that the relationships between pollen assemblages, vegetation, and climate are well understood. These can be studied in present circumstances given we assume that modern vegetation and climate are analogous to past ones. In this study, we analyze pollen–vegetation–climate relationships in the Jungar desert and Altay Mountains, northwestern China, a region for which careful reconstruction of past climate is needed to answer unsolved questions on past climate in an area located at the boundary between two different climate regimes (westerlies and monsoon). We use a dataset of 66 surface pollen samples from forest, meadow, steppe, and desert vegetation and six related climate variables, Tann, TJan, TJul, Pann, PJan, and PJul. Principal components analysis, redundancy analysis, Monte Carlo permutation tests, and variation partitioning are applied to quantify these relationships. We also assess pollen ratios as indices of aridity. We find that (1) Pann is the major climatic factor influencing pollen assemblages, followed by PJul, (2) the two variables are not correlated, and (3) the shared effect of (1) PJan and PJul, (2) PJan and Pann, (3) PJul and Tann, and (4) Tann, TJan, and TJul explains a larger portion of the variation in pollen data than the individual effect of each variable. Therefore, robust pollen–climate transfer functions can be developed for Pann and PJul, and several climate variables treated in combination. Artemisia/Chenopodiaceae is a strong index of aridity and Artemisia/Gramineae might be a useful index of Pann and PJul.

Place, publisher, year, edition, pages
Sage Publications, 2017
National Category
Earth and Related Environmental Sciences
Research subject
Environmental Science, Paleoecology
Identifiers
urn:nbn:se:lnu:diva-59570 (URN)10.1177/0959683616678464 (DOI)000406530800004 ()
Available from: 2017-01-03 Created: 2017-01-03 Last updated: 2017-08-29Bibliographically approved
2. Relative pollen productivity estimates for major plant taxa of cultural landscapes in central eastern China
Open this publication in new window or tab >>Relative pollen productivity estimates for major plant taxa of cultural landscapes in central eastern China
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(English)In: Vegetation History and Archaeobotany, ISSN 0939-6314, E-ISSN 1617-6278Article in journal (Refereed) Accepted
National Category
Earth and Related Environmental Sciences
Research subject
Environmental Science, Paleoecology
Identifiers
urn:nbn:se:lnu:diva-59571 (URN)
Available from: 2017-01-03 Created: 2017-01-03 Last updated: 2017-07-26
3. A review of pollen productivity estimates for major plant taxa of northern and temperate China and implications for long-term quantitative reconstruction of past plant cover
Open this publication in new window or tab >>A review of pollen productivity estimates for major plant taxa of northern and temperate China and implications for long-term quantitative reconstruction of past plant cover
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(English)In: Quaternary Science Reviews, ISSN 0277-3791, E-ISSN 1873-457XArticle in journal (Refereed) Submitted
National Category
Earth and Related Environmental Sciences
Research subject
Environmental Science, Paleoecology
Identifiers
urn:nbn:se:lnu:diva-59572 (URN)
Available from: 2017-01-03 Created: 2017-01-03 Last updated: 2017-07-26
4. Pollen-based quantitative reconstructions of Holocene plant abundance in northern and temperate china using the REVEALS model
Open this publication in new window or tab >>Pollen-based quantitative reconstructions of Holocene plant abundance in northern and temperate china using the REVEALS model
Show others...
(English)Manuscript (preprint) (Other academic)
National Category
Earth and Related Environmental Sciences
Research subject
Environmental Science, Paleoecology
Identifiers
urn:nbn:se:lnu:diva-59573 (URN)
Available from: 2017-01-03 Created: 2017-01-03 Last updated: 2017-01-03Bibliographically approved

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