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Module Title
LH Conservation: theory into practice
School
School of Geog Earth & Env Sci
Department
Geography
Module Code
03 36264
Module Lead
Jon Sadler
Level
Honours Level
Credits
20
Semester
Semester 2
Pre-requisites
Co-requisites
Restrictions
None
Exclusions
Description
This module provides students with the opportunity to apply ecological theory to conservation practise. Using a combination of lectures, practical classes and fieldwork we will explore what is meant by evidence-based conservation and the importance of ecological measurements and surveys within this. It will be argued that human-nature relationships are key to understanding the complexities of conservation and one needs to utilise results from both the natural and social sciences. The module will use a variety of current issues and case studies to illustrate key ecological concepts within the context of conservation. Topics will include habitat management and restoration; metapopulations and gradient theory; species-based conservation, sampling, and rewilding. Students will be able to choose to focus on conservation management plan or an ecological (taxa-focused) project using either field or secondary data sources for their main assessment.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate knowledge of key ecological theories and apply them to conservation practice
Identify key strategies used to design, protect, and manage habitats.
Demonstrate competence in ecological measurement techniques and be able to apply them to project design or management evaluation
Be able to identify and evaluate threats to biodiversity
Understand how policy and legislation are used within conservation
Be able to critically assess and choose appropriate management techniques for conservation of habitats and species
Understand how human-nature relationships are critical for conservation
Assessment
36264-01 : 5000 word Assignment : Coursework (100%)
Assessment Methods & Exceptions
Assessment: Students choose either a) 5000 word management plan (100%) or b) 5000 word ecological data project (100%)