2020
DOI: 10.1016/j.earscirev.2020.103119
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Towards quantification of Holocene anthropogenic land-cover change in temperate China: A review in the light of pollen-based REVEALS reconstructions of regional plant cover

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Cited by 104 publications
(91 citation statements)
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“…Pollen records are widely used for the reconstruction of vegetation composition (e.g. Bartlein et al, 1984;Li et al, 2019). However, such records need to be interpreted carefully, as different taxa have different pollen productivities and dispersal abilities.…”
Section: Introductionmentioning
confidence: 99%
“…Pollen records are widely used for the reconstruction of vegetation composition (e.g. Bartlein et al, 1984;Li et al, 2019). However, such records need to be interpreted carefully, as different taxa have different pollen productivities and dispersal abilities.…”
Section: Introductionmentioning
confidence: 99%
“…While the REVEALS model estimates regional vegetation composition within a 50–100‐km radius using pollen records from large sites or multiple small sites, the LOVE model estimates local vegetation composition within the relevant source area of pollen (RSAP; Sugita, 1994) of small sites. Thus far, RPPs have been estimated and used in LRA applications primarily in temperate woodland and grassland [see syntheses of RPPs for Europe by Broström et al (2008) and Mazier et al (2012), and for China by Li et al (2018), and REVEALS applications by, fope example, Trondman et al (2016), Dawson et al (2018) and Li et al (2020)}. Many research questions of interest to palaeoecologists require quantified plant cover values, but the REVEALS and LOVE models have not been applied in subtropical China due to the lack of values for pollen productivity.…”
Section: Introductionmentioning
confidence: 99%
“…Notably, the viewpoint of a mid‐Holocene mega‐thermal and a cooling trend during the late Holocene in China was inferred mainly from records of pollen and mammalian fossils from monsoonal mainland China (Shi et al ., 1994). Recently reported results have demonstrated that pollen data, especially those during the late Holocene from regions intensively occupied by humans, could be profoundly influenced by human activity (Jenny et al ., 2019; Li et al ., 2020b,c). Notably, monsoonal mainland China is a region with a long history of intensive human activity.…”
Section: Discussionmentioning
confidence: 99%