2015
DOI: 10.1007/s00334-015-0516-0
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Two hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithm

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Cited by 56 publications
(71 citation statements)
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“…Our analyses together with earlier studies (Felde et al, ; Matthias et al, ) suggest that methods accommodating pollen‐representation bias in pollen richness studies warrant further attention and should become as widely used as pollen‐production transformations in land‐cover reconstruction studies (e.g. Mazier et al, ; Mehl & Hjelle, ; Roberts et al, ).…”
Section: Discussionsupporting
confidence: 62%
“…Our analyses together with earlier studies (Felde et al, ; Matthias et al, ) suggest that methods accommodating pollen‐representation bias in pollen richness studies warrant further attention and should become as widely used as pollen‐production transformations in land‐cover reconstruction studies (e.g. Mazier et al, ; Mehl & Hjelle, ; Roberts et al, ).…”
Section: Discussionsupporting
confidence: 62%
“…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%
“…) (pollen records from small forest hollows), in Denmark (Nielsen and Odgaard ; Overballe‐Petersen et al. ), and in southern Sweden (Fredh ; Mazier et al in press). These tests suggest that the REVEALS model and LRA approach are robust methods to infer regional and local vegetation cover using pollen records from large and small sites, respectively.…”
Section: Introductionmentioning
confidence: 99%