MSc Project: Estimating Species Abundance Using Trap Data
Announcement Number: 71003
Published on: 25/11/2024
Type of Position: Master's thesis project
Location: Uppsala, Sweden (Department of Ecology, SLU)
Duration: 4-6 months (flexible)
Start Date: From 02/01/2025
Application Deadline: 15/01/2025
Contact: yuval.zelnik@slu.se
Language Requirement: English
Abstract
Estimating animal populations is fundamental for understanding ecological processes and improving conservation strategies. However, practical limitations from field measurements, such as trap data, often lead to incomplete or biased estimates. This project aims to address these challenges by combining spatial random-walk models and data synthesis from existing literature to improve the accuracy of density estimates for ground arthropods. Using mathematical analysis, simulations, and literature review, the project will develop tools to reliably estimate species densities from trapping data.
Project Description
Accurate population estimates are crucial for biodiversity monitoring, habitat assessment, and conservation planning. Traditional methods like traps or visual surveys often provide data reflecting "activity-density," which can be influenced by factors like animal behavior or trap placement, leading to biases.
This MSc project aims to:
- Develop and test a spatial random-walk model: Explore how factors such as animal density, movement activity, and trap design influence capture probabilities.
- Compile activity data from published studies: Focus on ground arthropods common in agricultural landscapes.
- Create a method to convert trap data into density estimates: Apply general or case-specific approaches to refine population estimation methods.
- Validate the model: Use existing datasets to compare density estimates from this framework against other established methods.
The project combines mathematical modeling, computer simulations, and literature synthesis to enhance population estimation methods for ground arthropods.
Supervisors:
- Dr. Yuval Zelnik: Researcher at the Department of Ecology, SLU
- Prof. Giulia Vico: Head of the Plant Ecology Unit, Department of Ecology, SLU
Requirements
The project integrates theoretical modeling with the analysis of animal behavior from existing studies. The following skills and knowledge would be beneficial:
- Programming Skills: Proficiency in tools like Matlab, Python, or R for simulations.
- English Proficiency: Particularly for reading and analyzing scientific literature.
- Mathematical Knowledge: Familiarity with calculus, probability theory, and related concepts.
- Ecology Background: Understanding of population ecology and animal behavior is desirable.
Application Procedure
To apply, email your CV and a cover letter to yuval.zelnik@slu.se, explaining your interest in the project and highlighting relevant experience and skills.
About the Organization:
The Department of Ecology at SLU combines basic ecological research with applied studies in conservation, wildlife management, forestry, and crop protection. https://www.slu.se/en/departments/ecology/
