Shallow Water Survey Techniques | SOES3051

Module overview

Biologists are often required to provide quantitative analyses of field data typically collected under imperfectly controlled conditions and across heterogeneous habitats. This module will develop generic skills in (1) the design of data collection protocols, particularly for shallow water marine environments and (2) the testing of hypotheses with appropriate statistical techniques.

The course will develop an understanding of the core principles of survey design and data analysis that underpin all quantitative sampling methods. The fieldwork component will develop the student's skills in shallow water biological survey using a range of methods best suited to the environment being surveyed, ranging from transect surveys, photoquadrats, drop-down video, benthic sledge and Remotely Operated Vehicle (ROV) to CTDs and fluorimeters. Data developed from the survey will be analysed with appropriate visualisation software and both univariate (building on previous statistical course) and multivariate statistical software.

Aims and Objectives

Learning Outcomes

Having successfully completed this module you will be able to:

Carry out a practical, pragmatic and effective field survey that collects quantified data suitable for statistical analysis to test a hypothesis.
Further develop your writing skills in a final report providing full details of data collection analysis and conclusions.
Further develop presentation skills to outline your work in a preliminary oral presentation outlining the expected direction of the final report.
Work confidently in spreadsheets and statistical packages to analyse and present statistical analyses.

Syllabus

The course will start by introducing principles of marine survey design. Various types of survey techniques suitable for shallow marine survey that provide quantified data will be covered along with appropriate statistical analysis. Students will then put the theory into practice by undertaking field survey(s). Students will gain experience of using appropriate statistical software packages for data analysis and develop both presentation and writing skills.

Learning and Teaching

Teaching and learning methods

1. Formal lectures will provide the survey design and data analysis framework that will form the focus of the course.

2. 'Hands on' involvement in planning and running of surveys will provide real world experience of the realities of developing quantified data from a shallow water marine environment in the UK.

3. Post survey day debrief will allow students' time for reflection and learning.

Study time
Type	Hours
Fieldwork	20
Lecture	5
Supervised time in studio/workshop	30
Independent Study	85
Practical classes and workshops	10
Total study time	150

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Presentation	30%
Report	70%