A signal-to-noise index to quantify the potential for peak detection in sediment-charcoal records期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

A signal-to-noise index to quantify the potential for peak detection in sediment-charcoal records

Authors:	Ryan F. Kelly Philip E. Higuera Feng Sheng Hu

Affiliation:	^a Department of Plant Biology, University of Illinois, Urbana, IL, USA ^b Department of Forest Ecology and Biogeosciences, University of Idaho, Moscow, ID, USA ^c Program in Ecology, Evolution, and Conservation Biology, University of Illinois, Urbana, IL, USA

Abstract:	Charcoal peaks in lake-sediment records are commonly used to reconstruct fire histories spanning thousands of years, but quantitative methods for evaluating the suitability of records for peak detection are largely lacking. We present a signal-to-noise index (SNI) that quantifies the separation of charcoal peaks (signal) from other variability in a record (noise). We validate the SNI with simulated and empirical charcoal records and show that an SNI > 3 consistently identifies records appropriate for peak detection. The SNI thus offers a means to evaluate the suitability of sediment-charcoal records for reconstructing local fires. MATLAB and R functions for calculating SNI are provided.

Keywords:	Signal-to-noise index (SNI) Charcoal analysis Fire history Lake sediment Paleoecology
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