Volume 56, Issue 1 pp. 229-232

A Statistical Approach Based on Accumulated Degree-days to Predict Decomposition-related Processes in Forensic Studies* ,†

Jean-Philippe Michaud M.Sc.

Jean-Philippe Michaud M.Sc.

Département de biologie, Université de Moncton, Moncton, New Brunswick, E1A 3E9, Canada.

Royal Canadian Mounted Police, 1104 14th St. SE, High River, Alberta, T1V 1W2, Canada.

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Gaétan Moreau Ph.D.

Gaétan Moreau Ph.D.

Département de biologie, Université de Moncton, Moncton, New Brunswick, E1A 3E9, Canada.

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First published: 20 September 2010
Citations: 62
Additional information and reprint requests:
Gaétan Moreau, Ph.D.
Département de biologie
Université de Moncton
Moncton, New Brunswick, E1A 3E9
Canada
E-mail: [email protected]

Supported by FESR, NBIF, and NSERC Grants.

Presented in part at the North American Forensic Entomology Association Meeting, July 16–18, 2009, in Miami, FL.

Abstract

Abstract: Using pig carcasses exposed over 3 years in rural fields during spring, summer, and fall, we studied the relationship between decomposition stages and degree-day accumulation (i) to verify the predictability of the decomposition stages used in forensic entomology to document carcass decomposition and (ii) to build a degree-day accumulation model applicable to various decomposition-related processes. Results indicate that the decomposition stages can be predicted with accuracy from temperature records and that a reliable degree-day index can be developed to study decomposition-related processes. The development of degree-day indices opens new doors for researchers and allows for the application of inferential tools unaffected by climatic variability, as well as for the inclusion of statistics in a science that is primarily descriptive and in need of validation methods in courtroom proceedings.

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