MT5767 Modelling Wildlife Population Dynamics
Academic year
2024 to 2025 Semester 1
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
15
SCQF level
SCQF level 11
Planned timetable
10.00 am Mon (odd weeks), Wed, Fri
Module Staff
Dr Alison Johnston
Module description
This module will introduce students to methods for constructing mathematical models of wildlife population dynamics and of fitting these models to diverse data from wildlife surveys. It will begin with an introduction to the key demographic processes that govern population dynamics, and how these can be represented within discrete-time age- and stage-structured models. Types of relevant wildlife survey data will then be considered, before turning to the approaches for fitting these data to the population models. Both classical and Bayesian approaches will be considered. Practical experience will be gained through tutorials and through two assignments.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST PASS MT3507 OR PASS MT3508
Assessment pattern
Coursework = 100%
Re-assessment
Coursework = 100%
Learning and teaching methods and delivery
Weekly contact
2.5 lectures (x 10 weeks), 1 practical (x 10 weeks)
Scheduled learning hours
35
Guided independent study hours
114
Intended learning outcomes
- Construct age- and stage-structured population models of wildlife populations
- Understand key demographic processes such as density dependence and how they affect population growth
- Describe the main sources of data used to inform population models
- Fit models to these data using both classical and Bayesian methods