ONLINE COURSE – Bioacoustics for ecologists: Hardware, Survey design and Data analysis (BIAC02) This course will be delivered live
22nd March 2022 - 24th March 2022£350
This course will introduce and explain the different applications for bioacoustics to answer ecological questions. Starting with a detailed overview of the correct and most efficient methods of data collecting in the field, this course will then go on to show delegates cutting edge methods for analysing and interpreting different types of bioacoustic data.
By the end of this 5-day practical course, attendees will have the capacity to set up and deploy recording devices, download acoustic data, how to analyse this data and report the results.
Bioacoustic methods are becoming increasingly recognised as a valuable approach for ecological surveying. Bioacoustics can be used to effectively replace some current techniques whilst increasing the quality of the data collected or can be used in unison to compliment them. They are particularly useful for developing long-term, permanent datasets that can be independently reviewed, particularly for rare species with low detectability, or when working in difficult environments.
The course will provide a practical introduction to bioacoustics methods, with a mix of lectures and practical workshops, and some optional fieldwork. It will start with a basic introduction to sound and recording theory, before developing hands-on skills in setting-up and deploying a range of acoustic and ultrasonic audio recorders. Workshops will then cover the download and analysis of audio data, mainly using Kaleidoscope Pro and Audacity software. The processed audio data will then be analysed and presented using R, the free software environment for statistical computing and graphics (http://www.r-project.org/).
Example data sets will mostly cover applications for bat and bird surveys, as well as the use of Acoustic Indices as biodiversity metrics. If you are working in different areas of ecology using bioacoustics please feel free to contact firstname.lastname@example.org so we can advise if the learning outcomes are transferable to your field of research.
This course is suitable for anyone working with bioacoustics from those in academia, conservation biologists and persons in industry and government.
Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 5 days
Contact hours – Approx. 35 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.
Dr. Carlos Abrahams
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. 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 concepts. Specifically, generalised linear regression models, statistical significance, hypothesis testing.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models & generate simple exploratory and diagnostic plots.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links.
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Tuesday 22nd Classes from 09:30 – 17:30
SESSION 1 – INTRO TO ACOUSTIC DATA (AND METADATA)
1. Acoustic Data and Metadata – what does it look like?
Data sources – survey methods/approaches, recorder hardware, file types etc
Metadata recording and systems
Case study examples – terrestrial & freshwater (& marine)
2. Introduction to spectrograms
Visualizing sound – understanding spectrograms, identifying species
Bats – peakfreq, IPI, max, min, duration, shape etc..
Birds – Nathan Pieplow keys – time/frequency characteristics, song/call shapes
Measuring parameters manually and programatically
3. Introduction to audio software – for species ID and vocalizations
Analysis tools for acoustic data
Software tools – Kaleidoscope, Audacity, R (others: Raven/Lite, Batscan, Batsound, Batscope, iBatsID, Analook, SonoChiro, Sonobat, Luscinia, BirdNet, MATLAB, PAMGUARD, etc)
Viewing/listening/measuring, recognizers, clustering
Manual and automated call detection and ID methods
Limitations and emerging opportunities in acoustic data analysis
4. Workshop – sound editing, measuring and management using Audacity
SESSION 2 – ANALYSING BAT DATA USING KALEIDOSCOPE
5. Workshop –Kaleidoscope bat ID processing (Paul H-L)
Wednesday 23rd – Classes from 09:30 – 17:30
SESSION 3 – ANALYSING ACOUSTIC DATA USING R
6. Workshop – R (Seewave/Soundecology) (creat/view/analyse spectrograms)
SESSION 4 – INTERPRETING ACOUSTIC DATA
7. Data collation, analysis and interpretation
Moving from sound to data to meaning (creating tidy data/metadata and using this)
Data and recognizer quality – false positives/negatives and validating auto-IDs…
Localizing calls with amplitude levels or microphone arrays
Mention of Soundscapes and Acoustic indices – more on this later
8. Soundscapes and Acoustic indices
What different indices
Pros and cons of each
Using and comparing scores
9. Example workflows from previous studies
Carlos capercaillie and TBH work
BCT/CIEEM guidance on call assessment
Other published research and recommendations
Wednesday 24th – Classes from 09:30 – 17:30
SESSION 5 –ACOUSTIC INDICES USING R/KALEIDOSCOPE
10. Workshop – Kaleidoscope (analyse Acoustic Indices)
11. Workshop – R (Seewave/Soundecology) (analyse Acoustic Indices)
SESSION 6 –SPATIAL ACOUSTIC DATA AND COURSE ROUND-UP
12. Workshop – presenting spatial data using Google Earth and R
EMtouch kml output – Google Earth
Spatial analysis with R
13. Review and roundup/conclusions
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)