|Course Type||Course Code||No. Of Credits|
Semester to which offered (I/ III/ V) :III semester
Course Title: Applied Population Ecology
Credits: 2 Credits
Course Code (new): SHE2ED304
Type of Course: Elective: Yes Cohort MAED
Course Coordinator and Course Faculty: Dr. Suresh Babu (CC); Dr. Monica Kaushik (Visiting Assistant Professor)
Email of course coordinator: firstname.lastname@example.org
Pre-requisites: Students who successfully complete the core course ‘Ecology, Ecosystem and Biodiversity (EEB)’ and ‘Ecological Statistics (ES)’ can opt for this course.
Population ecology is the study of patterns and causes of changes in population sizes across spaces and time of one or more species. Management, conservation and monitoring of species are dependent on the population parameters. Population assessment can also help identify threats and evaluates the performance of conservation initiatives. Thus, study of biological population is crucial for most wildlife conservation and research programs.
A wide variety of estimators can be used to monitor populations, provided they are reliable and replicable. In absence of robust estimators, it becomes difficult to infer whether the change (or lack of it) in the estimator is due to the real populations’ changes or some other factor viz. variation in methodology, field personnel, experience, season etc. Empirical estimation of the probability of detection of the species of interest has undergone most if the recent development in the field of population ecology.
We will be using software platforms in this class. Students will be informed about the practical session and the computer-based exercises will be done using personal laptops or the computer lab facility.
Basic question, statistics and modelling
(i)Asking right questions in monitoring and assessment
(ii) Statistical distribution and sampling
(iii) Modelling basics and information theoretic approach
(i) Distance Sampling
(ii) Occupancy sampling
Population models for conservation (PVA)
Species distribution models (SDM)
On successful completion of this course, students will be able to:
Indicative reading list
Class will be a mixture of discussion, lecture, and computer demonstrations. Students will be assessedbased on two short quizzes one after the module 2nd and one after the 4th module. An exercise on distance sampling would be carried in groups including data collection from two field techniques and their comparison through collected data. This would be a group exercise and would be marked based on an overall assessment for the entire group. There will be assignments for the modeling basic, occupancy sampling and species distribution modeling. Each of these assignments will be carry 20% of the marks.