Prof. Kirschke erforscht die ökonomischen Dimensionen von Landwirtschaft, Klimapolitik und ländlicher Entwicklung — insbesondere wie Agrarbetriebe auf Umwelt- und Klimavorgaben reagieren und welche Kosten und Potenziale damit verbunden sind. Sein aktueller Fokus liegt auf der Modellierung von Treibhausgasminderungsstrategien im Agrarsektor (Stickstoff-Düngemittel, Methan, Lachgas) sowie auf der Analyse von Governance-Strukturen bei komplexen Umweltproblemen wie Stickstoffbelastung von Gewässern. Daneben untersucht er zunehmend Citizen-Science-Projekte und deren Wirkung auf Wissenschaft, Gesellschaft und Politik. Seine Arbeiten verbinden Feldexperimente, ökonometrische Modellierung und Politikbewertung — relevant für Agrar- und Energiewirtschaft, Umweltbehörden und Klimapolitik.
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Prof. Dr. Dr. h.c. Dieter Kirschke
HU-FIS-Profil ↗Zeitraum: 01/2000 - 12/2010 Projektleitung: Prof. Dr. Dr. h.c. Dieter Kirschke
Zeitraum: 01/2000 - 12/2010 Projektleitung: Prof. Dr. Dr. h.c. Dieter Kirschke
Zeitraum: 01/2000 - 12/2010 Projektleitung: Prof. Dr. Dr. h.c. Dieter Kirschke
Global Environmental Change · DOI
Climatic Change · DOI
Coffee has proven to be highly sensitive to climate change. Because coffee plantations have a lifespan of about thirty years, the likely effects of future climates are already a concern. Forward-looking research on adaptation is therefore in high demand across the entire supply chain. In this paper we seek to project current and future climate suitability for coffee production ( Coffea arabica and Coffea canephora ) on a global scale. We used machine learning algorithms to derive functions of climatic suitability from a database of geo-referenced production locations. Use of several parameter combinations enhances the robustness of our analysis. The resulting multi-model ensemble suggests that higher temperatures may reduce yields of C. arabica, while C. canephora could suffer from increasing variability of intra-seasonal temperatures. Climate change will reduce the global area suitable for coffee by about 50 % across emission scenarios. Impacts are highest at low latitudes and low altitudes. Impacts at higher altitudes and higher latitudes are still negative but less pronounced. The world’s dominant production regions in Brazil and Vietnam may experience substantial reductions in area available for coffee. Some regions in East Africa and Asia may become more suitable, but these are partially in forested areas, which could pose a challenge to mitigation efforts.
Water · DOI
The nitrogen pollution of freshwater heavily affects social–ecological systems. To reduce negative effects, research calls for an integrated approach, including a coherent and diverse set of governance instruments. Thus far, however, the effects of (non-)integration have been blurry. Taking Germany as an example, this study sheds light on the actual complexity of the problem along five dimensions of complexity (goals, variables, dynamics, interconnections, and uncertainties). It also sheds light on related governance instruments (rules, information, and economic incentives) and their impacts on problem-solving (implementation of specific measures). Analyses include expert interviews on complexity, European water and agricultural policies, and official data on the planning and implementation of measures to reduce nitrogen concentrations. Results show Germany’s path of sustaining a complex problem by using a non-coherent and low diversity governance approach, avoiding rigorous rules, and barely using economic instruments to deal with nitrogen surpluses. A stronger integration of water and agricultural policies, as well as a better use of economic instruments, are suggested to enhance water quality in the future.