Module title: Case Studies in Applied Ecology

SCQF level: 11:
SCQF credit value: 10.00
ECTS credit value: 5

Module code: ENV11115
Module leader: Patrick White
School School of Applied Sciences
Subject area group: Animal and Plant Science


2019/0, Trimester 1, Face-to-Face,
Occurrence: 001
Primary mode of delivery: Face-to-Face
Location of delivery: SIGHTHILL
Member of staff responsible for delivering module: Patrick White
Module Organiser:

Learning, Teaching and Assessment (LTA) Approach:
Each case-study will address LOs 1, 2, 3 & 4, allowing embedding of these outcomes via learning within several different, and industry relevant, contexts. A case study will consist of an introductory lecture introducing a management problem (LO 1), 1-2 computer-based practicals analysing data relevant to that problem (LOs 2 & 3), and finally a class presenting some wider results and discussing their validity and management implications (LO 4). Achievement of each learning outcome will be assessed by the practical and interpretive assessment. Lecture sessions will be recorded and made available for both campus and distance students via the module Moodle site together with links to additional reading material to support independent study. The PC sessions will follow online guided worksheets and issues arising in the class setting will be communicated to distance students using recordings or FAQs.

Formative Assessment:
During each of six tutorials, students are given exercises which they are expected to complete in class or at home that week. They are then provided with a set of model answers and discussion points prior to the next tutorial and an opportunity to discuss any of the answers and materials in the next class. The questions offered are aligned closely to match the format and tone of the questions asked in the summative assessment (section 15c).

Summative Assessment:
Skill-development is assessed in the form of a take-home quantitative assessment. This takes the format of questions asked during the previous tutorials and will require application of the skills developed in data management, analyses and interpretation to new ecological data and applied ecology scenarios.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 6
Face To Face Practical classes and workshops 12
Face To Face Tutorial 6
Independent Learning Guided independent study 76
Total Study Hours100
Expected Total Study Hours for Module100

Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Practical Skills Assessment 100 1-4 15 HOURS= 0, WORDS= 2000
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Description of module content:

The module will present 3 case studies within wildlife management and conservation. Case-studies will be introduced with a lecture that gives the background to a conservation/management issue and the techniques that could be utilised to provide new information. Each case-study will have computer practicals during which students would be presented with a dataset that is either from, similar to, or a subset from the appropriate case-study and follow a tutorial that explains how they can analyse and present these data in R. Students will be expected to follow tutorials in class time and outside of class, and additionally complete a short piece of work analysing some ecological data, presenting results and interpreting those results in an applied context. Finally, in a discursive tutorial we will go through the results and interpretation, and discuss how the results might inform new management decisions.

Case-studies will cover a range of management issues, and will be based on real scenarios that can be drawn from research experience of staff or drawn from the literature. Indicative areas are: the impacts of predator removal on nest success of birds, habitat selection analyses to inform habitat management, monitoring populations using distance sampling, and camera-trap surveying.

Learning Outcomes for module:

Upon completion of this module you will be able to:
LO1: Evaluate ways in which wildlife management problems are identified and framed, and how this relates to generating study aims and testable hypotheses.
LO2: Defend the need for, and means of, obtaining high quality data in wildlife management and perform appropriate analyses on wildlife data.
LO3: Demonstrate ability to present data and analytical results clearly and concisely to a professional standard.
LO4: Competently derive management and further research recommendations based on the results from data analysis.

Indicative References and Reading List - URL:
Contact your module leader