2015
DOI: 10.15356/0373-2444-2015-1-119-128
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Database of Subfossil Pollen Spectra from Territory of Russia and Adjacent Countries as a Tool for Paleoecological Research

Abstract: Поступила в редакцию 03.11.2013 г.Субфоссильные спорово-пыльцевые спектры являются необходимым инструментом в палеоэкологических исследованиях, позволяющим усовершенствовать интерпретацию палинологических данных, уточнить реконструкции растительности и климата, а также расширить применение методов математической статистики. Российская палинологическая база данных субфоссильных спектров, созданная по инициативе Российской палинологической комиссии, предоставляет в открытом доступе в сети Интернет (http://pollen… Show more

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“…The approach is based on analogue matching of fossil pollen assemblages to modern pollen data sets and was originally developed by Overpeck et al (1985) and extended by Nakagawa et al (2002); full details are presented in Novenko et al (2014, 2015). The modern calibration dataset consisted of 720 surface pollen samples from a wide variety of landscapes in Europe and West Siberia (30–55°N, 45–65°E) from the European Pollen Database (Davis et al, 2013) and the Russian Pollen Database (Chepurnaya and Novenko, 2015). We estimated the proportion of forest cover within a radius of 20 km using MODIS satellite images and Vegetation Continuous Fields estimates of modern tree cover (Hansen et al, 2005) for each location.…”
Section: Methodsmentioning
confidence: 99%
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“…The approach is based on analogue matching of fossil pollen assemblages to modern pollen data sets and was originally developed by Overpeck et al (1985) and extended by Nakagawa et al (2002); full details are presented in Novenko et al (2014, 2015). The modern calibration dataset consisted of 720 surface pollen samples from a wide variety of landscapes in Europe and West Siberia (30–55°N, 45–65°E) from the European Pollen Database (Davis et al, 2013) and the Russian Pollen Database (Chepurnaya and Novenko, 2015). We estimated the proportion of forest cover within a radius of 20 km using MODIS satellite images and Vegetation Continuous Fields estimates of modern tree cover (Hansen et al, 2005) for each location.…”
Section: Methodsmentioning
confidence: 99%
“…Database (Chepurnaya and Novenko, 2015). For each location we estimated the proportion of forest cover within a radius of 20 km using MODIS satellite images and Vegetation Continuous Fields estimates of modern tree cover (Hansen et al, 2005).…”
Section: And the Russian Pollenmentioning
confidence: 99%