BIOL 410 - Population and Community Ecology
Syllabus
Lectures
Tutorials
BIOL 410 - Population and Community Ecology
Plant and animal communities are often the biological scale at which conservation, management and resource use decisions are made. As such, there is an applied impetus to understand how interactions between organisms and their environment influence the location, density and dynamics of populations, and how interactions between species influences the composition and dynamics of ecological communities. This course is designed to provide students with an understanding of the theoretical foundations of population and community ecology, as well introducing the concepts and tools needed to address applied problems related to population management, conservation, and exploitation. Where possible, topical examples from plant and animal populations in B.C. will be used illustrate fundamental population and community concepts as well as applied management challenges and options. A primary focus of the course will be to introduce students to a range of quantitative frameworks that can be used to gain insight into the key factors that regulate populations and communities, and which can also be used to better understand their dynamics through time and space. This necessary quantitative focus of this course will require students to be comfortable using mathematical representations of populations and communities, and using quantitative tools
Syllabus
BIOL 410 Population Model Assignment
Lectures
Tutorials
.
BIOL 410 - Population and Community Ecology
NRES 798 - Statistical Methods for Ecologists
This course will provide an overview of current statistical methods commonly used by ecologists from various disciplines. The aim of the course is to provide students with the tools necessary to design statistically robust experiment, evaluate the structure of data resulting from observational and experimental studies, and analysis their ecological data using appropriate statistical methods. While the examples used will focus on ecological data, this course is appropriate for any students who want to develop a strong foundation in advanced univariate statistics.