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Professor Patrick Doncaster

Professor of Ecology

Research interests

  • Population ecology 
  • Conservation management of forest and freshwater lake ecosystems
  • Conservation technology and tools for data analysis

More research

Connect with Patrick

Email: [email protected]

Tel: +44 23 8059 4352

ORCID

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Research interests (for researchers only) 
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ORCID ID 
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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

Patrick Doncaster is in the School of Biological Sciences, Faculty of Environmental and Life Sciences.

Patrick's research includes theory and fieldwork on the movements of individuals within and between local populations, and their adaptations to crowded environments. He studies forest biodiversity and the interactions between humans and predators and their shared prey, acoustic ecology and applications of open-source conservation technology, early warning signals of tipping points in living systems under anthropogenic stress, and mechanisms for climate-change mitigation. He uses and develops robust methods of evidence-based analysis.

 

MATERIALS

Statistics for Biologists

- Lexicon of statistics

- Means and variances

- Confidence intervals and R code for plotting them

- Terminology of analysis of variance

- Examples of analysis of variance and covariance

- Orthogonal contrasts for balanced analysis of variance

- Statistical power for balanced analysis of variance

- R for analysis of variance and covariance

 

Population Ecology and Evolution

- Lexicon of evolutionary genetics

- Lexicon of reproductive modes

- Model for population growth

- Timeline of human evolution and cultural development

 

Conservation Biology

- Organisations and conventions on environmental issues

- Logical framework for valuing natural capital

- How we as individuals can contribute to stopping biodiversity loss

 

TOOLS

- Datasets and programs for study designs with Analysis of Variance

- R codes for study designs with Analysis of Variance

- Programs for statistical analysis

- Programs for analysing interaction from radio-tracking data

 

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Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

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