Collecting data in the field is nowadays greatly facilitated by the advance of technology such as the development of devices that can automatically record and store environmental information, or miniaturized GPSs that can follow the movements of animals. In this course we will provide advanced hands-on training on some of the most used technological tools in field biology: movement tracking devices (e.g. GPS loggers, geolocators), environmental data loggers (e.g. to record temperature or water depth), acoustic devices (e.g. Audiomoths), camera traps, identification apps and drones. At the end of the course the participants will 1) understand the usefulness of each tool in the context of field biology; 2) know the basic principles of the use of these tools in fieldwork; 3) be able to download the data to a computer. Data analysis will not be addressed in this course, although a list of available software to deal with data handling and analysis for each tool will be provided.
This course can have a recognition of 6 ECTs for FCUL PhD students enrolling in it as part of their first doctoral year. These students need to deliver two reports after the course. For students only requiring 5 ECTs recognized in their specific PhD programmes the last 3.5 hours of the course are not mandatory, they need to deliver only the main report and the certificate will be on 'Topics in technology in field biology’. Such report(s) are also advised for other students requesting creditation of the course in their institutions.
Minimal formation of students: some experience in fieldwork is desirable; basic knowledge on Excel
MSc or PhD students in Biology, Environmental Sciences, Ecology, Agricultural and Forestry or related areas, postdocs and professionals working in related topics
Day 1 (FCUL) – 2h (morning or afternoon, TBD)
Brief presentations of each tool
Plans for fieldwork
Days 2-5 (HRA) 34h (ca. 8.5h per day)
Days 2 -4 will be organized in modules. Each module will consist of a practical session where the trainees will have the opportunity to use the tools in a real-case example, collect data, learn how to transfer the data to the computer and, when applicable, visualize the data with a dedicated software. End of day 4 and day 5 the participants will have the opportunity to do a practical work using one of the tools (in groups).
Participants should arrive the night before of the start and leave by the end of day 5/early morning the following day.
8-10: Module 1: Tracking devices: deployment
10-12: Module 2: Data loggers: placement in the field
14-16: Module 3: Camera traps: placement in the field
16-18: Module 4: Acoustic devices: placement in the field
8-10: Module 5: ID apps
10-12: Module 6: Drones: operating
14-16: Module 7: Drones: data download
16-18: Module 8: Tracking devices: data visualization*
6-8: Module 8: Collection of devices (data loggers, acoustic devices and camera traps)
8-9: Module 9: Data loggers: data visualization*
10-11: Module 10: Camara traps: data visualization*
11-12: Module 11: Acoustic devices: data visualization*
14-16: Group work: Device deployment
8-14: Group work: Device collection and data download
14-16: Final session
Free for 1st year PhD students in Doctoral programmes at FCUL (e.g. Biologia), Biodiversity, Genetics and Evolution (BIODIV UL; UP), Biology and Ecology of Global Changes (BEAG UL, UA) and Sustainability Science (UL, several institutions), when the course counts credits for their formation, in which case the delivery of a final report done after the course is mandatory; the course is also free for more advanced PhD students of the BIODIV programme (ULisboa or UPorto); 50 € for more advanced PhD students of cE3c; 80 € for PhD students of the PEERS network (CFE); 125 € for FCUL Master students and unemployed; 180 € for BTI, BI and other PhD students; 250 € for Professional and postdocs.
When the maximum number of students is reached, 8 vacancies will be available for non-paying 1st year PhD students mentioned above, being, by order of preference students from: 1) cE3c; 2) BIODIV (not from cE3c); 3) FCUL (not from cE3c); 4) Sustainability Science (not from cE3c or FCUL); 5) BEAG (not from cE3c or FCUL).
Candidates should send a short CV and a motivation letter to email@example.com e firstname.lastname@example.org. The cv and letter should be named as 1st-lastNAME-CV.pdf and 1st-lastNAME-ML.pdf (that is personalize the name of each file with your first and last name).
In the email please add the following information:
Professional activity: Professional/Postdoc, BTI, BI (or other non-post-doc research grant), PhD student (with/ without scholarship), Lic. (Bachelor)/Master student
PhD student of the 1st year of a Doctoral programme at FCUL, BIODIV (FCUL/FCUP), or BEAG (FCUL or UA)?
If yes to the above question, PhD student doing the Course to count credits for 1st year?:
PhD student of cE3c or CEF (Centro de Ecologia Funcional)?:
Name of the PhD programme: