2013
DOI: 10.1016/j.quascirev.2012.12.006
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Reconstruction of palaeoprecipitation based on pollen transfer functions – the record of the last 16 ka from Laguna Potrok Aike, southern Patagonia

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Cited by 53 publications
(41 citation statements)
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“…Ohlwein and Wahl (2012) offer a state-of-the art review of these methods. There are numerous recent applications, including those for pollen sequences in Siberia (Klemm et al, 2013), South Africa (Truc et al, 2013) and southern Patogonia (Schäbitz et al, 2013), and even for amoebae in reconstructing past hydrology (Payne et al, 2011) or midges in deducing palaeotemperatures (Velle et al, 2010).…”
Section: Fossils As Representations Of Quaternary Climatementioning
confidence: 99%
“…Ohlwein and Wahl (2012) offer a state-of-the art review of these methods. There are numerous recent applications, including those for pollen sequences in Siberia (Klemm et al, 2013), South Africa (Truc et al, 2013) and southern Patogonia (Schäbitz et al, 2013), and even for amoebae in reconstructing past hydrology (Payne et al, 2011) or midges in deducing palaeotemperatures (Velle et al, 2010).…”
Section: Fossils As Representations Of Quaternary Climatementioning
confidence: 99%
“…In northwest China, which includes typical arid and semi-arid regions, we have had only had a limited understanding of past precipitation changes. Therefore, the inclusion of climatic indicators, such as ice cores [6], lake sediment [7], loess [8], biologic indicators [9], and tree-rings, are needed as proxies to better understand the long-term variations in precipitation in northwest China [10].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, and despite its great interest for paleoclimatic reconstruction as the sole continental landmass entirely within the area of influence of the Southern Westerly Wind (SWW) belt (Kilian and Lamy, 2012) date only five CF have been published for continental southern South America (Patagonia): two pollen-based CF for precipitation estimation (Tonello et al, 2009;Schäbitz et al, 2013); one chironomid-based CF for air temperature estimation (Massaferro and Larocque-Tobler, 2013); one thecamoebian-based CF for water table depth reconstruction in peat bogs (Van Bellen et al, 2014), and an ostracod-based CF for chlorine content estimation (Cusminsky et al, 2011).…”
Section: Introductionmentioning
confidence: 99%