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LF216-15 Biological Oceanography

Department
Life Sciences
Level
Undergraduate Level 2
Module leader
Richard Puxty
Credit value
15
Module duration
5 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

Introductory description

The overall aims of the module are to introduce the students to the major marine habitats, the ecologically significant groups of organisms, and the biological processes in the oceans that play a crucial role in regulating the global fluxes of major elements

Module aims

The module also aims to introduce students to the contemporary techniques for the study of biodiversity and ocean productivity and how they are contributing to significant advances in our knowledge of biological ocean processes. Finally, the module aims to examine how anthropogenic influences are influencing the marine environment and, thereby, the climate.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

The ocean and coastal environment
Remote sensing
Major phytoplankton groups
Microbial Loop
Photosynthetic picoplankton
Molecular approaches
Biogeochemical cycles I (C,S,P)
Biogeochemical cycles II (N,Fe) -N2 fixation
Marine microbial interactions
Marine Biodiversity
From shallow to deep sea environments with hydrothermal vents
Coral reefs and MPAs
Marine Biotechnology
Anthropogenic effects on the oceans

Learning outcomes

By the end of the module, students should be able to:

  • understand the physicochemical nature of the oceans in relation to the physiology of the major groups of oceanic organisms contributing to biogeochemical cycling
  • understand the techniques used for identifying novel major groups of microorganisms
  • analyse and explain the major oceanic food chains and concepts such as “the microbial loop.”
  • critically evaluate the ocean as the main driver of global biogeochemical cycles
  • explore the types of interactions that occur and evolutionary theories that have developed from studying these habitats
  • compare the key features of classical and specialized marine habitats, and the nature of marine biodiversity.
  • Critically evaluate the use of marine protected areas as a mechanism for managing biological resources.
  • Utilise scientific computing to critically evaluate large, complex datasets, specifically remote sensing.
  • Critically evaluate the effect of anthropogenic forces on marine biodiversity and ecosystem function
  • Apply principles of biotechnology to sustainable exploitation of marine resources

Indicative reading list

Part A: Biological Oceanography Some material from the second year Microbiology text book (Biology of
Microorganisms, 15th edn. - Madigan, Bender, Buckley, Sattley, Stahl) will be useful for this module.
Lalli, C. M. and Parsons, T. R. Biological Oceanography: An Introduction, 2nd edn. (Butterworth Heinemann, 1997).
Munn, C. Marine Microbiology, 2nd edn. (Garland Science, 2011). Part B: Ecological Principles and Processes
Krebs, C.J. Ecology: the experimental analysis of distribution and abundance. 6th Edition. Pearson Benjamin
Cummings, San francisco
Townsend, C. R., Begon, M. and Harper, J. L. (2008) Essentials of Ecology, 3rd Edition. Blackwell Publ., Oxford.
Mayhew, P. J. (2006). Discovering Evolutionary Ecology; Bringing Together Ecology and Evolution. Oxford University
Press.
Spellerberg, I. (2005). Monitoring Ecological Change, 2nd Edition. Cambridge University Press.

Subject specific skills

-Analysis of netcdf remote sensing in the MATLAB environment
-Statistical analysis of time-series data
-Ecological metrics

Transferable skills

  • Self directed learning adult learning critical appraisal of source material
  • Handling and analysis of large datasets through scientific computing

Study time

Type Required
Lectures 15 sessions of 1 hour (10%)
Supervised practical classes 10 sessions of 1 hour (7%)
Private study 50 hours (33%)
Assessment 75 hours (50%)
Total 150 hours

Private study description

-Self directed learning and revision for end of year exam
-Online tutorials in MATLAB
-Preparation of materials for in-module assessment

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group D1
Weighting Study time Eligible for self-certification
In-Module Assessment: Ocean remote sensing 30% 30 hours Yes (extension)

Analysis of primary data dervied from NASA satellites. Data will be analysed using scientific computing in the Matlab environment. The assessment is a series of short answer questions requiring data analysis, small pieces of scientific coding and figure/map production. A longer essay type question (500 words) that is a complete analysis of a time series dataset.

Examination 70% 45 hours No

Section A: short answer questions. Section B: longer questions (may be essays, data-led or scenario-based).

Assessment group R1
Weighting Study time Eligible for self-certification
In-person Examination - Resit 100% No

Section A: short answer questions. Section B: longer questions (may be essays, data-led or scenario-based).

Feedback on assessment

For the in-module assessment, students will be given their marks for each question followed by a example answer sheet showing where marks were gained and lost. Generic written feedback will also be given to the class.

Cohort level feedback for Y2 examinations.

Past exam papers for LF216

Courses

This module is Optional for:

  • UBSA-3 Undergraduate Biological Sciences
    • Year 2 of C100 Biological Sciences
    • Year 2 of C100 Biological Sciences
    • Year 2 of C102 Biological Sciences with Cell Biology
    • Year 2 of C103 Biological Sciences with Environmental Resources
    • Year 2 of C104 Biological Sciences with Microbiology
    • Year 2 of C105 Biological Sciences with Molecular Genetics
    • Year 2 of C107 Biological Sciences with Virology
  • Year 2 of ULFA-C1A1 Undergraduate Biological Sciences (MBio)
  • Year 2 of ULFA-C113 Undergraduate Biological Sciences (with Placement Year)
  • Year 2 of ULFA-C1A5 Undergraduate Biological Sciences with Industrial Placement (MBio)