Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

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Quantitative Ecology
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Undergraduate
Course Code:
191ΕΩ5Ε
Semester:
Η
Course Title:
Quantitative Ecology
Credits
5
Course Type:
Skills development
Prerequisite Courses:
Statistics
Language of Instruction and Examinations:
Greek
Is the course offered to Erasmus students:
No
  • (2) Learning Outcomes
  • Learning Outcomes

After the successful completion of the course the student should be able to:

Use the principles of Quantitative Ecology and Biological Diversity science to explain patterns of population and community distribution

Use the principles of Quantitative Ecology to estimate species richness in biotic communities

Estimate the distributions of species abundances in communities.

  • General Competences
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology
  • Decision-making
  • Working independently
  • Team work
  • Working in an international environment
  • Working in an interdisciplinary environment
  • Production of new research ideas
  • Respect for the natural environment
  • Production of free, creative and inductive thinking
  • (3) Syllabus
  • Introduction to Biological Diversity
  • Databases,
  • Community Species Richness
  • Estimation Methods (Rarefaction, Jackknife, Bootstrap),
  • Diversity Indices, Evenness Indices, Alpha – Beta – Gama Diversity,
  • Species – Area Relationship.
  • Species Richness and Abundance Relationship in Communities,
  • Statistical Models, Log Series, Lognormal Series,
  • Niche Apportionment Models, Geometric Series, Broken Stick Model, Dominance preemption – Random Fraction – Dominance decay
  • (4) Teaching and Learning Methods - Evaluation
  • Delivery:

Face-to-face

  • Use of Information and Communication Technology:

Use of statistical language (R) in teaching and in Labs. Use of platform open eclass, a complete Course Management System that supports Asynchronous eLearning Services. Instructor notes, homework.

  • Teaching Methods:
Activity Semester workload
Lectures
26
Laboratory exercises
13
Lectures
60
Lectures
23
Final exam
3
Course total
125
  • Student Performance Evaluation:

Language of evaluation:

Greek.

Method of evaluation:

Final project: problem solving through statistical software (20%)

End of semester exam: written problem solving (80%)

  • (5) Attached Bibliography
  • Καρανδεινός Μ.Γ. 2007. Ποσοτικές Οικολογικές Μέθοδοι. Πανεπιστημιακές Εκδόσεις Κρήτης
  • Στάμου Γ. 2009. Οικολογία. Ζήτη

– Συναφή επιστημονικά περιοδικά:

Environmental and Ecological Statistics. Springer. https://link.springer.com/journal/10651