Students of Forestry, IngÖk. NaLa, SRM, Environmental Engineering etc.

Master’s Thesis: Climate Data Analysis (Ecoclimatology)

06.02.2026, Abschlussarbeiten, Bachelor- und Masterarbeiten

This Master’s thesis focuses on the analysis, modeling, and interpretation of high‑resolution climate data from forest edge environments. Using long‑term measurements of temperature, moisture, and radiation, the work aims to identify and quantify microclimatic patterns related to different forest edge structures.

Background:
Forest edges, as transitional zones, strongly shape the microclimate and thus influence forest health, biodiversity, and stress responses. Multi-layered, structurally complex forest edges can protect the forest interior from heat and drought, whereas simply structured edges tend to intensify microclimatic extremes. However, how different forest edge structures influence these microclimatic effects is still insufficiently understood.

Methodology and Data Basis:
- Data analysis, interpolation, modeling, and visualization of climate data
- Climate data provided as CSV tables from measurements since April 2025 (continuous 30-minute intervals)
- Air and soil temperature, air and soil moisture, solar radiation intensity
- Weather stations and open-area reference stations
- Forest structure data from field surveys and remote sensing

Research Question:
Which microclimatic effects can be identified for (different) forest edge structures?

Requirements:
- Solid knowledge of R (statistics, modeling)
- Interest in climate and data analysis
- Interest in forests and forest structure

Time period:
From now on / February 2026 after first meeting

Interested? Contact:
Daniel Stauffer-Bescher
daniel.stauffer-bescher@tum.de

Professorship of Ecoclimatology
TUM School of Life Sciences
Technical University of Munich

Freising, 06.02.2026

Kontakt: daniel.stauffer-bescher@tum.de

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