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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004995naa a2200685 4500
001oai:lup.lub.lu.se:60e0a57a-39a3-4549-94ed-4a9667565b29
003SwePub
008160401s2008 | |||||||||||000 ||eng|
009oai:DiVA.org:lnu-5105
009oai:DiVA.org:su-34766
0247 a https://lup.lub.lu.se/record/12520762 URI
0247 a https://doi.org/10.1007/s00334-008-0169-32 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-51052 URI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-347662 URI
040 a (SwePub)lud (SwePub)lnud (SwePub)su
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Gaillard, Marie-Joseu Linnéuniversitetet,Institutionen för naturvetenskap, NV4 aut0 (Swepub:lnu)egama
2451 0a The use of modelling and simulation approach in reconstructing past landscapes from fossil pollen data: a review and results from the POLLANDCAL network
264 c 2008-08-01
264 1b Springer Science and Business Media LLC,c 2008
500 a Totala antalet författare: 76
520 a Information on past land cover in terms of absolute areas of different landscape units (forest, open land, pasture land, cultivated land, etc.) at local to regional scales is needed to test hypotheses and answer questions related to climate change (e.g. feedbacks effects of land-cover change), archaeological research, and nature conservancy (e.g. management strategy). The palaeoecological technique best suited to achieve quantitative reconstruction of past vegetation is pollen analysis. A simulation approach developed by Sugita (the computer model POLLSCAPE) which uses models based on the theory of pollen analysis is presented together with examples of application. POLLSCAPE has been adopted as the central tool for POLLANDCAL (POLlen/LANdscape CALibration), an international research network focusing on this topic. The theory behind models of the pollen-vegetation relationship and POLLSCAPE is reviewed. The two model outputs which receive greatest attention in this paper are the relevant source area of pollen (RSAP) and pollen loading in mires and lakes. Six examples of application of POLLSCAPE are presented, each of which explores a possible use of the POLLANDCAL tools and a means of validating or evaluating the models with empirical data. The landscape and vegetation factors influencing the size of the RSAP, the importance of pollen productivity estimates (PPEs) for the model outputs, the detection of small and rare patches of plant taxa in pollen records, and quantitative reconstructions of past vegetation and landscapes are discussed on the basis of these examples. The simulation approach is seen to be useful both for exploring different vegetation/landscape scenarios and for refuting hypotheses.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Geologi0 (SwePub)105042 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Geology0 (SwePub)105042 hsv//eng
653 a reconstructions of past vegetation and landscapes
653 a relevant source area of pollen
653 a deposition
653 a pollen dispersal and
653 a POLLANDCAL network
653 a POLLSCAPE simulation model
653 a quantitative
653 a NATURAL SCIENCES
653 a Paleoecology
653 a kvartärgeologi
7001 a Sugita, Shinya4 aut
7001 a Bunting, M. Jane4 aut
7001 a Middleton, Richard4 aut
7001 a Broström, Annau Lund University,Lunds universitet,Kvartärgeologi,Geologiska institutionen,Naturvetenskapliga fakulteten,Quaternary Sciences,Department of Geology,Faculty of Science4 aut0 (Swepub:lu)geol-abr
7001 a Caseldine, Christopher4 aut
7001 a Giesecke, Thomas4 aut
7001 a Hellman, Sophie E. V.u Linnéuniversitetet,Institutionen för naturvetenskap, NV4 aut
7001 a Hicks, Sheila4 aut
7001 a Hjelle, Kari4 aut
7001 a Langdon, Catherine4 aut
7001 a Nielsen, Anne-Birgitte4 aut
7001 a Poska, Anneli4 aut
7001 a von Stedingk, Henrik4 aut
7001 a Veski, Sim4 aut
7001 a Hättestrand, Martinau Stockholms universitet,Institutionen för naturgeografi och kvartärgeologi (INK)4 aut
7102 a Linnéuniversitetetb Institutionen för naturvetenskap, NV4 org
7730 t Vegetation History and Archaeobotanyd : Springer Science and Business Media LLCg 17:5, s. 419-443q 17:5<419-443x 0939-6314x 1617-6278
8564 u http://dx.doi.org/10.1007/s00334-008-0169-3y FULLTEXT
8564 u http://mural.maynoothuniversity.ie/12250/1/Shaw_Modelling_2008.pdf
8564 8u https://lup.lub.lu.se/record/1252076
8564 8u https://doi.org/10.1007/s00334-008-0169-3
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-5105
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-34766

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