Estimating animal populations is crucial for understanding ecological processes and implementing effective conservation measures. However doing so is not straight-forward, given practical limitations from field measurements such as trap data. This project will tackle this issue, by combining theoretical spatial models with data synthesis from published results, to estimate true species densities. To do this we will combine mathematical analysis, computer simulations, and literature review to identify movement properties of ground arthropods.
This project combines a theoretical approach to ecological processes, together with estimating animal behavior from results of published studies. Therefore the following skills and knowledge would be helpful:
1) Programming skills (e.g. Matlab, Python, R), and using these for simulations.
2) Proficiency in English, especially for reading scientific articles.
3) Basic knowledge of mathematical tools, such as calculus and probability theory.
4) Familiarity with animal behavior and population ecology.
For more information, see the full add in:
https://student.slu.se/en/study-support/slu-career/slus-career-portal/2024/msc-project-estimating-species-abundance-using-trap-data/
To apply, please send an email to yuval.zelnik@slu.se with your CV and cover letter explaining why you are interested in this project, and detailing how your experience and skills fit with it.
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