MOVEMENT ECOLOGY (MOVE04) online (live and recorded)
21st February 2022 - 25th February 2022£450
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.
This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
TIME ZONE – GMT – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind (please email firstname.lastname@example.org for full details or to discuss how we can accommodate you).
The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS) in ecology and evolution. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, from micro-organisms to vertebrates, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology), physics and mathematics/statistics, to be able to identify for any specific research question the most appropriate study species, logging technology (incl. attachment methods), and statistical/mathematical modelling approach. We will specifically address the challenges and opportunities at each of the steps of the proposed ‘question-driven approach’, combining theory with computer-based practicals in R. We will also address the challenges of applying the results of the analyses to applied management problems and communicate the findings to non-experts.
Research postgraduates, practicing academics and primary investigators in ecology and management and environmental professionals in government and industry. The course will also be of interest to researchers in geography, mathematics and computer science working on movement analyses.
Venue – Delivered remotely
Availability – TBC
Duration – 5 days
Contact hours – Approx. 37 hours
ECT’s – Equal to 3 ECT’s
Language – English
PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact email@example.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.
Introductory lectures on the concepts and refreshers on R usage. Intermediate-level lectures interspersed with hands-on mini practicals and longer projects. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
Assumed quantitative knowledge
A basic understanding of statistical, mathematical and physical concepts. Specifically, generalised linear regression models, including mixed models; basic knowledge of trigonometry, basic knowledge of calculus; basic knowledge of physics as relevant for biological systems.
Assumed computer background
Good familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models (up to GLM); generate simple exploratory and diagnostic plots. Knowledge of more advanced models, such as mixed models, will be helpful, as will a basic recollection of mathematical analysis.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed and sufficient RAM to load and analyse moderately large datasets. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links:
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Conceptual component: Introduction to movement ecology, movement and behaviour, spatial and movement path analysis.
Practical component: Movement path analysis I – from steps and turns to movement path segmentation; Movement path analysis II – movement modes (home rage, dispersal, migration, nomadism) and the squared displacement method.
Home Range Analysis
Conceptual component: Ecological definitions and interpretations of home ranges, home range estimation, comparisons between estimators and the question-driven approach.
Practical component: Utilization distribution; comparison of contrasting kernel home range estimation methods, isopleth creation, core area & home range overlap.
Dynamic Interactions and Temporal Metrics of Movement
Conceptual component: Movements of interacting animals – static and dynamic interactions; scales of movement – first-passage and residence time analysis.
Practical component: Static and dynamic interaction indices; estimation of first-passage and residence time metrics
Introduction to Resource Selection, and Effects of Scale
Conceptual component: Theories of resource and habitat selection, history of approaches, and current methodologies and caveats including definitions of availability and scale effects for RSF and other movement metrics
Practical component: Data projections and R as a GIS; Scale-integrated models of movement, availability sampling, and RSF estimation and interpretation
Step-Selection Functions and Instantaneous Availability
Conceptual component: Introduction to step selection, decision-making processes, null and alternative models for definitions of availability within SSF, movement-integrated step-selection analysis
Practical component: Creation of available step data, estimation of SSF using multiple packages and approaches, simulation of utilization and occurrence distributions.
“This course was very good and useful for me while doing a PhD! The three instructors showed each different aspects of movement ecology from collecting data ourselves to analysing this data with different methods related to behaviours, movements paths and home ranges. I really liked the hands-on experience of collecting both accelerometer and magnetometer data ourselves and analysing this data in specialised software developed by one of the instructors. The individual support we got during the practicals was very helpful and I feel like I have a better understanding of all the concepts and methods relating to movement ecology after this course. Additionally, we learned more about the maths aspect behind specific movement models, which was challenging as I do not have a maths background, but it was well explained, and I am more comfortable with applying these statistic models now. I did have the change to apply them to my own data which was very useful! Lastly the group was great, and I have learned a lot from meeting other people which work in similar fields. Together with the instructors and the course director – who were all very friendly and professional – they made the week into a productive and fun week.”
Marine Biologist, Bio-Inspired Flight Lab, University of Bristol, UK (Attended MOVE course)