Titel: Climate Adaptation Strategies Assessment on the Northern-German Agriculture System: A Crop Model Study
Sprache: Englisch
Autor*in: Fajardo Puente, Andrea Catalina
GND-Schlagwörter: Sustainable agricultureGND
Global Climate Observing SystemGND
Erscheinungsdatum: 2021
Tag der mündlichen Prüfung: 2022-03-08
Agriculture is a sector that is highly sensitive to climate. Heatwave events in Germany, like in 2018, show us the relevance of having crop production systems focusing on climate mitigation and adaptation to produce more stable yields in the future. Crop models like the Environmental Policy Integrated Climate (EPIC) allow testing management strategies and their potential effects on yields, nitrogen emissions, and total organic carbon in the long term under three CO2 emissions scenarios that include the Representative Concentration Pathways (RCP) of 2.6, 4.5, and 8.5.
This research uses a version of the EPIC model that includes an automatic irrigation option based on a specific field capacity fraction that allows a more realistic irrigation scheme in the model. These values range from no irrigation (0%) to 100% (full irrigation). This option allows a more realistic irrigation scheme in the model. The co-benefit with modified crop calendars and the inclusion of soybeans were also assessed.
Lastly, it was analyzed the correlation strength between crop yields and temperature and precipitation indicators. This exploratory assessment helps explain the reason for the increase of crop yield penalties in the future.
Although this study was conducted in a small area in northern Germany, the results are still relevant for regions with similar climatic conditions. They may apply similar adaptation strategies in the future to cope with climate change.
URL: https://ediss.sub.uni-hamburg.de/handle/ediss/9540
URN: urn:nbn:de:gbv:18-ediss-99611
Dokumenttyp: Dissertation
Betreuer*in: Uwe, Schneider
Enthalten in den Sammlungen:Elektronische Dissertationen und Habilitationen

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