Impact of Climate Change and Phosphorus Deficiency on Maize Productivity by 2050
- Beschreibung
Discover how to safeguard Europe's maize yields from intensifying climate threats —elevated CO₂, +1–5°C warming, droughts, and phosphorus (P) limitations—through hands-on DSSAT v4.8+ training (https://dssat.net/). This global crop simulation model integrates weather, soil nutrient dynamics, genetics, and management to simulate 45+ crops, building skills for top journals and sustainable agrotech careers.
Using real field data from P-deficient trials, calibrate CERES-Maize/IXIM modules and future climate scenarios (e.g., RCP4.5/8.5) to 2050, quantify multi-stressor interactions on phenology, LAI, biomass, and grain yield while evaluating sustainable P strategies.
- Beschreibung des interdisziplinären Teils des Projekts
- (1) Crop Modelling and Simulation: Apply DSSAT's CERES-Maize/IXIM modules for precise simulations of maize growth processes, integrating weather, soil nutrients, genetics, and management interactions, (2) Nutrient Dynamics under Stress: Quantify phosphorus (P) optimization strategies—simulating results of P, N and C contents in maize—on P-deficient soils, addressing limitations that amplify climate vulnerability, (3) Climate Change Impact Assessment: Project future climate change scenarios (+CO₂, temperature extremes, drought) to 2050, evaluating yield stability, adaptation thresholds, and food security implications.
- Projektzeitraum
- Sommersemester 2026
- Bewerbungszeitraum
- 07. bis 20.04.2026
- Durchführung
- semesterbegleitend
- Details zu Projektzeitraum und Durchführung
Flexible hybrid format: online DSSAT execution + optional in-person lab sessions at Institute of Crop Science. Total workload: 90–120 hours (3–4 ECTS), structured via biweekly milestones—model setup (Weeks 1–2), calibration/validation (Weeks 3–5), scenario simulations (Weeks 6–8), statistical analysis/reporting (Weeks 9–10), and poster production/presentation (Weeks 11–12). Schedule is adjustable based on group progress and availability.
- Studienfach
- offen für alle Studienfächer
- Betreuende
- Shinhye Lee
- Institut
- Institut für Kulturpflanzenwissenschaften (340) (Crop Modeling, Climate Adaptation, Maize Nutrient Dynamics)
- Sprache
- englisch
- Teilnehmendenanzahl
- min. 1, max. 2
- Arbeitsaufwand
-
ca. 120 Stunden pro Teilnehmende:r
| 4
ECTS-Punkte
Arbeitsaufwand (Stunden und ggf. ECTS) sind ungefähre Angaben. Die tatsächlich vergebenen ECTS-Punkte ergeben sich aus der tatsächlich geleisteten Arbeit.
- Für dieses Projekt ist kein Motivationsschreiben des Studierenden erforderlich
- Projektart
- empirisch
- Lernziele
-
Die Teilnehmende lernen in diesem Projekt:
- Calibrate and validate DSSAT for maize under phosphorus deficiency and climate stressors.
- Simulate and compare future climate change scenarios, including changes in CO₂ concentration, temperature extremes, and drought, and evaluate the effect of adaptation measures such as phosphorus rates.
- Analyze and visualize model outputs, including phenology, leaf area index, biomass, and yield, using statistical methods in R.
- Interpret and communicate results in the form of a scientific poster and present them at a seminar.
- Anmerkungen für Studierende
For inquiries, feel free to email: shinhye.lee@uni-hohenheim.de
- Schlagworte
- Crop Modelling, data analysis, Agronomy, climate change, sustainable agriculture, Phosphorus deficiency, CO₂