2013
DOI: 10.1177/0959683613505339
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The role of tree composition in Holocene fire history of the hemiboreal and southern boreal zones of southern Sweden, as revealed by the application of the Landscape Reconstruction Algorithm: Implications for biodiversity and climate-change issues

Abstract: We present a quantitative reconstruction of local forest history at two sites, Stavsåkra (hemiboreal zone) and Storasjö (southern boreal zone), in southern Sweden (province of Småland) to evaluate possible causes of contrasting Holocene fire histories in mid-and late Holocene. The Landscape Reconstruction Algorithm (LRA) is applied to evaluate between-site differences in the relative abundance of deciduous trees and Pinus (pine) and landscape/woodland openness during the Holocene. The LRA estimates of local ve… Show more

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Cited by 47 publications
(80 citation statements)
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References 52 publications
(135 reference statements)
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“…Kansjön REVEALS estimates. Cui et al (2013) assumed that the mean REVEALS estimates from Kansjön and Trummen was a good approximation of the regional vegetation influencing the pollen assemblages at three small study sites located in the hemiboreal zone (two sites) and the southern boreal zone (one site). This assumption is now supported by the results of this study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Kansjön REVEALS estimates. Cui et al (2013) assumed that the mean REVEALS estimates from Kansjön and Trummen was a good approximation of the regional vegetation influencing the pollen assemblages at three small study sites located in the hemiboreal zone (two sites) and the southern boreal zone (one site). This assumption is now supported by the results of this study.…”
Section: Discussionmentioning
confidence: 99%
“…In bold: large lakes Veget Hist Archaeobot (2016) 25:131-151 133 of past vegetation composition have already been shown to be useful for (i) the quantitative reconstruction of vegetation/plant cover at the local spatial scale (10-100 km 2 ) using Sugita's LRA (e.g. Nielsen and Odgaard 2010;Cui et al 2013Cui et al , 2014Mazier et al 2015;Hultberg et al 2015), (ii) the study of regional spatio-temporal land-cover/landscape dynamics over the past millennia (e.g. Marquer et al 2014;Fyfe et al 2013;Nielsen et al 2012;Trondman 2014), (iii) the evaluation of anthropogenic land-cover change scenarios (ALCCs) (Gaillard et al 2010) and (iv) the study of land cover-climate interactions in the past (Strandberg et al 2014).…”
Section: Figmentioning
confidence: 99%
“…In this paper, we present the major results from new (Cui, 2013) and previous (Greisman and Gaillard, 2009;) studies of fire history over the last 11000 years (Holocene) in southern Sweden based on palaeoecological analyses of peat sequences from three small peat bogs. The main objective of the paper is to emphasize (1) the value of multiple, continuous sedimentary records of macroscopic charcoal for the reconstruction of local to regional past changes in fire regimes, (2) the importance of multi-proxy records (here pollen, plant macrofossils, beetles and charcoal) to cross-check interpretation of the proxies in terms of fire and human-impact history, and (3) the advantage of model-based estimates of plant cover from pollen data to assess the role of tree composition and human impact in fire history.…”
mentioning
confidence: 99%
“…The LOVE reconstruction shows that the cultural landscape has been more open than is suggested by pollen percentages alone, which is a general pattern seen when using LRA (Hellman et al 2008;Nielsen et al 2012;Cui et al 2013;Fyfe et al 2013;Hultberg et al 2015). There are still challenges in the use of LRA, including the fact that not all of the most commonly registered pollen taxa have PPEs.…”
Section: Evaluation Of the Methodological Approachmentioning
confidence: 99%
“…The Landscape Reconstruction Algorithm (LRA) is an approach developed to deal with the challenges-differences in pollen production and dispersal between species-and convert pollen percentages into vegetation cover (Sugita 2007a, b). So far, estimates achieved from this approach are found to be representative of the vegetation in Denmark, Switzerland, Sweden, Estonia and Norway (Hellman et al 2008;Nielsen and Odgaard 2010;Soepboer et al 2010;Fredh 2012;Cui et al 2013;Overballe-Petersen et al 2013;Poska et al 2014;Hjelle et al 2015), and it has been applied to reconstruct vegetation cover on different spatial scales (e.g. Nielsen et al 2012;Fyfe et al 2013;Cui et al 2014;Marquer et al 2014;Hultberg et al 2015;Trondman et al 2015).…”
Section: Introductionmentioning
confidence: 99%