Improving the efficiency of sediment charcoal image analysis
Bibliographic Data
| ID | 12267990 |
|---|---|
| Authors | Charles Umbanhowar Jr (0000-0002-1743-509X, Departments of Biology and Environmental Studies, St. Olaf College, Northfield, MN, USA, corresponding author), James Umbanhowar (0000-0002-8251-9388, University of North Carolina at Chapel Hill), James A Umbanhowar (Department of Biology and Environment, Ecology and Energy Program, University of North Carolina, Chapel Hill, NC, USA) |
| Year | 2021 |
| Volume | 31 |
| Issue | 7 |
| Pages | 1229-1233 |
| Publication date | 2021-03-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Holocene (JOURNAL) |
| Journal identifiers | ISSN: 0959-6836 • E-ISSN: 1477-0911 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/09596836211003226 |
| OpenAlex | W3137943461 |
| Language | EN |
| References cited | 33 |
Imaging of charcoal particles extracted from lake sediments provides an important way to understand past fire regimes. Imaging of large numbers of particles can be time consuming. In this note we explore the effects of subsampling and extrapolation of area on estimates of sum charcoal area, using resampling of real and simulated data sets and propose a protocol in which all particles are counted with only the first 100 encountered being imaged. Extrapolated estimates of sum total area of charcoal for 40 real samples were nearly identical to actual values, and error introduced due to subsampling was low (Coefficient of variation <0.2) for all but samples originally containing fewer than 50 particles. Similarly, error was low for simulated data (CV <0.02). Extrapolation provided better estimates of charcoal area than did a regression-based approach. Our results suggest that imaging a fixed number of pieces of charcoal ( n = 100) and counting any additional pieces represents a time efficient way to estimate charcoal area while at the same time retaining useful information on particle size and shape
Charcoal · Extrapolation · Mineralogy · Regression · Resampling · Sediment · Statistics · Chemistry · Environmental Science · Fire dynamics and safety research · Fire effects on ecosystems · Mathematics · Wind and Air Flow Studies · Geology · Paleontology · Soil Science
Understanding the origin and analysis of sediment-charcoal records with a simulation model
Fire history reconstruction in grassland ecosystems
Great Plains vegetation dynamics in response to fire and climatic fluctuations during the Holocene at Fox Lake, Minnesota (USA)
Informing sedimentary charcoal-based fire reconstructions with a kinematic transport model
Pollen and charcoal in lake sediments compared with historically documented forest fires in southern Switzerland since AD 1920
Fossil charcoal quantification using manual and image analysis approaches
Long-distance transport of macroscopic charcoal by an intensive crown fire in the Swiss Alps - implications for fire history reconstruction
Interaction of fire, climate and vegetation change at a large landscape scale in the Big Woods of Minnesota, USA
Area–volume relationships for fossil charcoal and their relevance for fire history reconstruction
Relationships between charcoal particles in air and sediments in west-central Siberia
Regional fire history based on charcoal analysis of sediments from nine lakes in western Mongolia
Experimental production and analysis of microscopic charcoal from wood, leaves and grasses
Lacustrine charcoal peaks provide an accurate record of surface wildfires in a North European boreal forest
| Highly cited | No |
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