Erin Bayne, PhD MSc BSc (Hons)

About

In addition to my responsibilities as a professor, I am academic director of the WildTrax information system which is used for the open-access sharing and processing of remote camera and ARU data, academic co-director of the Alberta Biodiversity Monitoring Institute's Science Centre, academic co-director of the Boreal Avian Modelling center, and director of the University of Alberta Field Research Office. My lab has participated in the Land Reclamation International Graduate School (LRIGS) and Computational Biodiversity Science and Services (BIOS²) programs sponsored by NSERC CREATE. Current lab members can access information on our internal website

Research

BIOL 330 - Introduction to Biological Data

Expands on prior introductions to the scientific method and examines the steps involved in the planning, collection, organization, analysis and presentation of biological data. Classes will explore the types of data used to answer a variety of biological questions and will review several different sampling designs, assess the benefits and limitations of various data types for scientific inference, and integrate the statistical methods that are common to other introductory courses. Labs will teach students how spreadsheets and relational databases can be used to manipulate, analyze, and present the results of scientific research. Prerequisites: BIOL 208 and STAT 151 or SCI 151.

BIOL 471 - Landscape Ecology

Landscapes are holistic entities whose patterns influence ecological processes. Topics highlighted in this course include landscape components, morphology and dynamics; detecting spatial/temporal change in landscapes; issues of scales; movements of organisms, disturbances, and nutrients across landscape mosaics; and restoration, planning and management in a landscape context. Labs emphasize GIS applications to characterizing landscape patterns and heterogeneity in space and time, distributing and moving organisms across landscapes, and restoring or planning landscapes for conservation objectives. Prerequisites: MATH 115 or SCI 100; STAT 151 or SCI 151; one of BIOL 331, 332 or BOT 332. Previous GIS course is useful. Credit cannot be obtained for both BIOL 471 and 571.

BIOL 571 - Landscape Ecology and Applications

Landscapes are holistic entities whose patterns influence ecological processes. Topics highlighted in this course include landscape components, morphology and dynamics; detecting spatial/temporal change in landscapes; issues of scales; movements of organisms, disturbances, and nutrients across landscape mosaics; and restoration, planning and management in a landscape context. Labs emphasize GIS applications to characterizing landscape patterns and heterogeneity in space and time, distributing and moving organisms across landscapes, and restoring or planning landscapes for conservation objectives. Lectures and labs are the same as for BIOL 471, but with an additional research project and evaluation appropriate to graduate studies. Prerequisite: consent of instructor. Credit cannot be obtained for both BIOL 471 and 571.

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