Dr Catherine Dandie: Postdoctoral Fellow
Dr Dandie’s primary research interests include nitrogen cycling in agricultural soils and researching microbial source processes of nitrous oxide emissions.
- 9 July 2009 | Updated 14 October 2011
Current activities
Dr Catherine Dandie joined CSIRO in 2009 as a Postdoctoral Fellow to undertake research in the area of nitrous oxide emissions from soil - identification of source, quantification of fluxes and derivation of predictive relationships.
Supervisors for this project include Dr Jeff Baldock, Dr Evelyn Krull and Dr Steven Wakelin in CSIRO Land and Water.
Research topics of special interest have included:
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quantification of denitrification functional genes in agricultural soil and linkage with denitrification rate/nitrous oxide emissions
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bioremediation of organic contaminants in soil
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use of autofluorescent proteins to monitor survival and efficacy of microbial agents in soil.
Academic qualifications
Dr Dandie has been awarded a:
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Bachelor of Biotechnology (Honours) from Flinders University of South Australia in 1996. Thesis: Development of Bioluminescent Reporter Systems for Environmental Pollutants
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Doctor of Philosophy (Environmental Microbiology) from Flinders University of South Australia in 2003. Thesis: Characterisation and Monitoring of Bacterial Inoculants for Bioremediation of Contaminated Soils.
Professional activities
Dr Dandie:
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is a member of the International Society for Microbial Ecology (ISME)
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is on the editorial board of Water, Air and Soil Pollution
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provides referee services for several journals including Journal of Applied Microbiology/Letters in Applied Microbiology, Biology and Fertility of Soils, Biodegradation.
Read more about CSIRO Land and Water.
Profile
Name: Dr Catherine Dandie
Title: Office of the Chief Executive Postdoctoral Fellow
Qualifications:
- B Biotech (Hons)
- PhD
Expertise:
- microbiology and molecular biology of soils
- extraction and analysis of environmental pollutants
Current project:
- nitrous oxide emissions from soil - identification of source
- quantification of fluxes and derivation of predictive relationships