NTU Course
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Network Ecology

Offered in 112-2
  • Serial Number

    59153

  • Course Number

    EEB5104

  • Course Identifier

    B44 U2160

  • No Class

  • 2 Credits
  • Elective

    INSTITUTE OF ECOLOGY AND EVOLUTIONARY BIOLOGY

      Elective
    • INSTITUTE OF ECOLOGY AND EVOLUTIONARY BIOLOGY

  • HSI-CHENG HO
  • Thu 6, 7
  • 生科3C

  • Type 2

  • 24 Student Quota

    NTU 20 + non-NTU 4

  • No Specialization Program

  • Chinese
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes
  • NTU Enrollment Status

    Enrolled
    0/20
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    Networks in ecology encompasses almost anything that can be represented by a set of points joined by edges. For example, a food web represents the feeding relationships within a community, which underpins the structure of material and energy flows among organisms and, in turn, fosters biodiversity and ecological functions. This course consists of weekly two?hour lectures, covering fundamental concepts about ecological networks of various forms, as well as the relevant theories, quantitative and simulative techniques, implications, and applications. While the emphasis is on general concepts, case studies will also be introduced and discussed, supplemented with recent key studies.
  • Course Objective
    From the course, students are expected to comprehend fundamental concepts in Network Ecology, as well as relevant empirical and theoretical research methods. In particular, they should learn the ways of doing simple network analysis, making interpretation of network properties at different levels of organisation, and become familiar with contextualising recent publications in the field.
  • Course Requirement
    Students should have taken General Biology and Ecology (both required). Possessing basic calculus and/or linear algebra understanding will be an advantage for comprehending this course, as the course covers some fundamental mathematics of network dynamics.
  • Expected weekly study hours after class
  • Office Hour
    *This office hour requires an appointment
  • Designated Reading
  • References
    The content of weekly lectures is based on a synthesis of several textbooks: ? Food Webs: Integration of Patterns and Dynamics. Gary A. Polis and Kirk O. Winemiller. 1996. ? Ecological Networks: Linking Structure to Dynamics in Food Webs. Mercedes Pascual and Jennifer A. Dunne. 2005. ? Food Webs. Kevin McCann. 2011. ? Quantitative Analysis of Ecological Networks. Mark R. T. Dale and Marie-Josee Fortin. 2021. Buying textbooks is not mandatory, as all needed contents will be covered in slides and shared with students.
  • Grading
    20%

    Practise

    20%

    Attendance and participation

    30%

    Take-home midterm and final exams

    30%

    Group paper discussion (including reading assignments)

  • Adjustment methods for students
    Adjustment MethodDescription
    Teaching methods

    Assisted by video

    Others

    Negotiated by both teachers and students

  • Course Schedule
    2/22Week 1Lecture: Networks in Ecology Practice: EcoBuilder
    2/29Week 2Lecture: Node- and edge-based network properties, and motifs Practice: Data formats of networks, component-based metrics (e.g., trophic level), and R package "Cheddar"
    3/7Week 3Lecture: Holistic network structures Practice: R packages "bipartite" & "igraph" Activity: Assign reading groups & papers
    3/14Week 4Lecture: Network structural analysis Practice: R packages "bipartite", "igraph" and null models
    3/21Week 5Lecture: Concepts and attributes of dynamic networks Practice: Flow analysis with R package "fluxweb" and a bit of L-V simulation with "deSolve"
    3/28Week 6Lecture: Aspects of network stability. Practice: Robustness and stability analyses with R packages "bipartite", "NetworkExtinction", and "fluxweb"
    4/4Week 7Holiday, no lecture. Assign: Take-home midterm exam
    4/11Week 8Lecture: Multilayer networks Practice: R pacakge "motifr" and other network visualising packages Hand in: Reading assignment 1
    4/18Week 9Activity: Group paper discussion 1 Hand in: Take-home midterm exam
    4/25Week 10Lecture: Food-web models (1) Practice: R pacakge "trophic"
    5/2Week 11Lecture: Lecture: Food-web models (2) Practice: Mid-term revisit
    5/9Week 12Lecture: Lecture: Food-web models (3) Practice: Self-promoted random exercise
    5/16Week 13Lecture: Real-world applications of ecological network studies Practice: Self-promoted random exercise
    5/23Week 14Lecture: Spatio-temporal aspects of food webs (by invited speaker Merin Reji Chacko, in English) Practice: Course-relevant analyses designed by Merin Assign: Take-home final exam Hand in: Reading assignment 2
    5/30Week 15Activity: Group paper discussion 2
    6/6Week 16Lecture: Summary, synthesis, and feedback Hand in: Take-home final exam