Grant: Discovery Grants Program - Individual
Université de Moncton
$41,350.00
Spatial and temporal structure of decomposer successional dynamics on cadavers and carrion
FY 2023-24
Summary
The decomposition of large vertebrate carcasses and human cadavers is a complex operation that has largely been studied within the framework of forensic science because of the legal applications of the information derived from an understanding of this phenomenon. However, the applied nature of forensics has meant that little effort has historically been devoted to exploring the fundamental aspects of decomposition and only recently has the ecological study of this phenomenon gained momentum. However, one ecological aspect that has not been addressed in forensics, other than from a theoretical perspective, is how the ecological succession of decomposers on cadavers and carcasses is structured in space and time. If investigated for their spatiotemporal properties, multivariate successional datasets are likely to provide new insights for fundamental and applied branches of decomposition ecology as their analysis could shed light on the nature of the variability of successional processes in space and time and provide a robust means of establishing the seral position of species. The objectives of this research program are (I) to test a series of predictions about the spatiotemporal structure of successional dynamics of decomposers on large vertebrate carcasses, (II) to identify preferential aggregation of insects as a function of carcass decay, (III) to use machine learning algorithms to link arthropods to the postmortem interval or period of insect activity on human cadavers and (IV) to improve our mechanistic and probabilistic understanding of succession on necromass. This research program involves field studies and modeling based on existent databases of forensic insects on human and surrogate animal carcasses. I expect to make substantial new contributions through this research program, to advance our understanding of the relative role of causal mechanisms during ecological succession on necromass, and to document the effects different factors have at different scales on successional dynamics. I also expect to test some fundamental assumptions of forensic entomology, to improve modeling of ecological succession, and to provide practical knowledge and guidelines for death scene investigations.
Program
Discovery Grants Program - Individual
Recipient
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2023-05946
Name nom
Moreau, Gaétan
Department département
Biologie
Organization id
73
Institution établissement
Université de Moncton
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
41350
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Spatial and temporal structure of decomposer successional dynamics on cadavers and carrion
Keyword
Decomposition; Ecological succession; Entomology; Forensic science; Human cadavers; Insect ecology; Large vertebrate carcasses; Scale; Spatial patterns; Species dispersal
Application summary
The decomposition of large vertebrate carcasses and human cadavers is a complex operation that has largely been studied within the framework of forensic science because of the legal applications of the information derived from an understanding of this phenomenon. However, the applied nature of forensics has meant that little effort has historically been devoted to exploring the fundamental aspects of decomposition and only recently has the ecological study of this phenomenon gained momentum. However, one ecological aspect that has not been addressed in forensics, other than from a theoretical perspective, is how the ecological succession of decomposers on cadavers and carcasses is structured in space and time. If investigated for their spatiotemporal properties, multivariate successional datasets are likely to provide new insights for fundamental and applied branches of decomposition ecology as their analysis could shed light on the nature of the variability of successional processes in space and time and provide a robust means of establishing the seral position of species. The objectives of this research program are (I) to test a series of predictions about the spatiotemporal structure of successional dynamics of decomposers on large vertebrate carcasses, (II) to identify preferential aggregation of insects as a function of carcass decay, (III) to use machine learning algorithms to link arthropods to the postmortem interval or period of insect activity on human cadavers and (IV) to improve our mechanistic and probabilistic understanding of succession on necromass. This research program involves field studies and modeling based on existent databases of forensic insects on human and surrogate animal carcasses. I expect to make substantial new contributions through this research program, to advance our understanding of the relative role of causal mechanisms during ecological succession on necromass, and to document the effects different factors have at different scales on successional dynamics. I also expect to test some fundamental assumptions of forensic entomology, to improve modeling of ecological succession, and to provide practical knowledge and guidelines for death scene investigations.