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

被引：168

作者：

Kelly, Ryan F. ^{[1
]}

Higuera, Philip E. ^{[2
]}

Barrett, Carolyn M. ^{[3
]}

Hu, Feng Sheng ^{[1
,3
]}

机构：

[1] Univ Illinois, Dept Plant Biol, Urbana, IL 61801 USA

[2] Univ Idaho, Dept Forest Ecol & Biogeosci, Moscow, ID 83843 USA

[3] Univ Illinois, Program Ecol Evolut & Conservat Biol, Urbana, IL 61801 USA

来源：

QUATERNARY RESEARCH | 2011年 / 75卷 / 01期

基金：

美国国家科学基金会;

关键词：

Signal-to-noise index (SNI); Charcoal analysis; Fire history; Lake sediment; Paleoecology; YELLOWSTONE-NATIONAL-PARK; CLIMATE-CHANGE; FIRE REGIMES; BOREAL FORESTS; SOURCE AREA; HISTORY; DEPOSITION; DISPERSAL; HOLOCENE; RANGE;

D O I：

10.1016/j.yqres.2010.07.011

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

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. Published by Elsevier Inc. on behalf of University of Washington.

引用

页码：11 / 17

页数：7

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