Serial Number
59153
Course Number
EEB5104
Course Identifier
B44 U2160
No Class
- 2 Credits
Elective
INSTITUTE OF ECOLOGY AND EVOLUTIONARY BIOLOGY
INSTITUTE OF ECOLOGY AND EVOLUTIONARY BIOLOGY
Elective- HSI-CHENG HO
- View Courses Offered by Instructor
COLLEGE OF LIFE SCIENCES INSTITUTE OF ECOLOGY AND EVOLUTIONARY BIOLOGY
- 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
Enrolled0/20Other Depts0/0Remaining0Registered0- Course DescriptionNetworks 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 ObjectiveFrom 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 RequirementStudents 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
- ReferencesThe 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 Method Description Teaching methods Assisted by video
Others Negotiated by both teachers and students
- Course Schedule
2/22Week 1 2/22 Lecture: Networks in Ecology Practice: EcoBuilder 2/29Week 2 2/29 Lecture: 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 3 3/7 Lecture: Holistic network structures Practice: R packages "bipartite" & "igraph" Activity: Assign reading groups & papers 3/14Week 4 3/14 Lecture: Network structural analysis Practice: R packages "bipartite", "igraph" and null models 3/21Week 5 3/21 Lecture: Concepts and attributes of dynamic networks Practice: Flow analysis with R package "fluxweb" and a bit of L-V simulation with "deSolve" 3/28Week 6 3/28 Lecture: Aspects of network stability. Practice: Robustness and stability analyses with R packages "bipartite", "NetworkExtinction", and "fluxweb" 4/4Week 7 4/4 Holiday, no lecture. Assign: Take-home midterm exam 4/11Week 8 4/11 Lecture: Multilayer networks Practice: R pacakge "motifr" and other network visualising packages Hand in: Reading assignment 1 4/18Week 9 4/18 Activity: Group paper discussion 1 Hand in: Take-home midterm exam 4/25Week 10 4/25 Lecture: Food-web models (1) Practice: R pacakge "trophic" 5/2Week 11 5/2 Lecture: Lecture: Food-web models (2) Practice: Mid-term revisit 5/9Week 12 5/9 Lecture: Lecture: Food-web models (3) Practice: Self-promoted random exercise 5/16Week 13 5/16 Lecture: Real-world applications of ecological network studies Practice: Self-promoted random exercise 5/23Week 14 5/23 Lecture: 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 15 5/30 Activity: Group paper discussion 2 6/6Week 16 6/6 Lecture: Summary, synthesis, and feedback Hand in: Take-home final exam