Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Marine Ecology: Theory and Applications
Code ENVS383
Coordinator Dr M Spencer
Earth, Ocean and Ecological Sciences
M.Spencer@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2023-24 Level 6 FHEQ Second Semester 15

Aims

This module develops the connections between ecological theory and management of marine communities and ecosystems. The theory will mainly focus on mathematical models of the dynamics of populations and communities, and will include practical work with software. The second half of the module aims to give a rounded overview of the current understanding of vulnerability of marine taxa to human activities and climate change, and enable students to evaluate consequences of loss of species on ecosystem structure and functioning, as well as on human wellbeing.


Learning Outcomes

(LO1) Evaluate the major ecological theories underlying the dynamics of marine populations and communities

(LO2) Relate problems in marine conservation and resource exploitation to these ecological concepts

(LO3) Use appropriate methods to assess the consequences of environmental change and management for marine communities and ecosystems

(LO4) Recognise the importance of ecological theory in underpinning scientific advice to management

(S1) Problem solving skills

(S2) Numeracy


Syllabus

 

This module will include topics such as deterministic and stochastic models of populations and communities, measuring change in communities and ecosystems, threatened species and extinction risk, species diversity and ecosystem function, and threat assessment. The quantitative skills needed for the first half will be covered at the start of the module.


Teaching and Learning Strategies

Theory will be delivered through face-to-face lectures. In the first half of the module, this will be complemented by computer practicals, which will promote active learning and digital fluency, and in which students will apply the theory to data, using the R programming language. There will also be workshops in the first part of the module, in which students will revise the necessary quantitative skills. In the second half of the module, the theory will be put into practice in discussion sessions, which will promote active learning, inclusivity and confidence. Teaching will be research-connected and informed by the research areas of the staff involved.


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 13

        16

29
Timetable (if known)              
Private Study 121
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Written Exam reassessment opportunity Standard CoPA penalty for late submission applies Assessment is anonymous  120    75       
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Short report There is a resit opportunity Standard CoPA penalty for late submission applies Assessment is anonymous    25       

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.