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Regional vegetation changes in the tropical Andes expressed as arboreal pollen (AP%), standardised ordination scores (DCA z-scores), and aquatic vegetation ratios (D/SS); files used for plots

Name: Regional vegetation changes in the tropical Andes expressed as arboreal pollen (AP%), standardised ordination scores (DCA z-scores), and aquatic vegetation ratios (D/SS); files used for plots
Keywords: 13. Climate action, 15. Life on land

Research datakeyboard_double_arrow_right Dataset , Other dataset type 01 Jan 2016 Netherlands English Publisher:PANGAEA

Authors: Urrego, Dunia H; Hooghiemstra, Henry; Rama-Corredor, O; Martrat, Belén; Grimalt, Joan O; Thompson, L;

doi: 10.1594/pangaea.858525

Regional vegetation changes in the tropical Andes expressed as arboreal pollen (AP%), standardised ordination scores (DCA z-scores), and aquatic vegetation ratios (D/SS); files used for plots

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Abstract

We compare eight pollen records reflecting climatic and environmental change from the tropical Andes. Our analysis focuses on the last 50 ka, with particular emphasis on the Pleistocene to Holocene transition. We explore ecological grouping and downcore ordination results as two approaches for extracting environmental variability from pollen records. We also use the records of aquatic and shoreline vegetation as markers for lake level fluctuations, and precipitation change. Our analysis focuses on the signature of millennial-scale variability in the tropical Andes, in particular, Heinrich stadials and Greenland interstadials. We identify rapid responses of the tropical vegetation to this climate variability, and relate differences between sites to moisture sources and site sensitivity.

Supplement to: Urrego, Dunia H; Hooghiemstra, Henry; Rama-Corredor, O; Martrat, Belén; Grimalt, Joan O; Thompson, L (2015): Rapid millennial-scale vegetation changes in the tropical Andes. Climate of the Past Discussions, 11(3), 1701-1739

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Netherlands

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University of Amsterdam
Netherlands

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Millennial-scale vegetation changes in the tropical Andes using ecological grouping and ordination methods
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