Dr. Christoph Gornott

Working Group Leader
Gornott
 

  

Dr. Christoph Gornott ist Agrarwissenschaftler und Leiter der Arbeitsgruppe „Anpassung in Agrarsystemen“ am Potsdam Institut für Klimafolgenforschung (PIK). Diese Arbeitsgruppe forscht interdisziplinär zur Verbesserung der Widerstandsfähigkeit der Landwirtschaft. Dr. Christoph Gornott forscht insbesondere zum Einfluss des Klimas auf die Landwirtschaft und wie diese auf sich ändernde Klimabedingungen reagieren kann. Seine Forschung richtet sich vor allem auf Maßnahmen zur Erntevorhersage (Risikomonitoring), Klimaanpassungsmaßnahmen (Risikomanagement) und Versicherungslösungen (Risikotransfer) in Afrika südlich der Sahara. Am PIK hat er mehr als 20 Forschungsprojekte von der EU, dem BMZ, der GIZ, dem BMU, dem BMBF und Anderen eingeworben. Er arbeitet eng mit Institutionen zusammen, die in der Entwicklungszusammenarbeit tätig sind, sowie mit anderen internationalen und regionalen Interessengruppen. Das Studium der Agrarökonomie und -wissenschaften absolvierte er an der Humboldt Universität zu Berlin. Davor arbeitete er als Landwirt auf verschiedenen Milchviehbetrieben in Norddeutschland.

Kontakt

Potsdam-Institut für Klimafolgenforschung (PIK)
T +49 (0)331 288 2655
gornott[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

ORCID

My research covers sustainable agriculture, climate change, land use and suitability, and food security with a focus on tropical and subtropical agricultural systems. The aim of this research is to stabilize and improve food security, incomes and livelihoods for farming households.

In my research, I study the impacts of climate change on agricultural systems and how resilient adaptation measures can stabilize these systems. This helps to understand the connection between agriculture and food security, and sustainable economic development. My research on the evaluation of climate change adaptation and the design of insurance solutions supports international and national policy making. It also helps farmers in tropical regions to cope with climate-related risks and supports establishing climate-smart agricultural systems.

I also develop agricultural forecasting approaches which provide information about crop yields within the current growing season by statistical methods driven. This research supports decision-making in the agricultural sector, based on near- and medium-term forecasts. The work includes understand forthcoming agricultural climate risks and an analysis of tropical agricultural systems. Therefore I use different methods like statistical and econometric methods, process-based models as well as machine-learning approaches. This includes the handling of different types of input and output data with different spatial resolutions and time frames like remote sensing earth observation data, weather and climate data, land use maps,

My key research foci are:

  • Analyzing implications of climate change and environmental factors on agricultural systems to understand the measures needed for a resilient development and sustainable development.
  • Evaluation of agricultural adaptation options to climate change according to bio-physical, socio-economic and institutional indicators to help farmers stabilize their food production and food security.
  • Designing insurance solutions as climate adaptation options which support a resilient agricultural development.
  • Developing agricultural forecasting approaches which provide information on crop yields within the current growing season and give recommendations for sustainable agricultural interventions by considering system boundaries.

Peer reviewed

  • Laudien, Schauberger, Gleixner, Gornott, 2020: Assessment of weather-yield relations of starchy maize at different scales in Peru to support the NDC implementation, Agricultural and Forest Meteorology, Volume 295.
  • Schauberger, Jägermeyer, Gornott, 2020: A systematic review of local to regional yield forecasting approaches and frequently used data resources, European Journal of Agronomy.
  • Chemura, Schauberger, Gornott, 2020: Impacts of climate change on agro-climatic suitability of major food crops in Ghana, PLoS ONE 15(6): e0229881.
  • Shukla, Agarwal, Gornott, Sachdeva, Joshi, 2019: Farmer typology to understand differentiated climate change adaptation in Himalaya, Nature Scientific Reports.
  • Brüssow, Gornott, Faße, Grote, 2019: The Link between Smallholders’ Perception of Climatic Changes and Adaptation in Tanzania, Climatic Change.
  • Schwalbert, Amado, Nieto, Corassa, Rice, Peralta, Schauberger, Gornott, Ciampitti, 2019: Mid-season county-level corn yield forecast for US Corn Belt integrating satellite imagery and weather variables, Crop Science.
  • Belesova, Gornott, Milner, Sié, Sauerborn, Wilkinson, 2019: Mortality Impact of Low Annual Crop Yields in a Subsistence Farming Population of Burkina Faso under the Current and a 1.5°C Warmer Climate in 2100, Science of the Total Environment (691), 538-548.
  • Graef, Mutabazi, Sieber, Asch, Makoko, Bonatti, Brüntrup, Gornott, Herrmann, Herrmann, Kaburire, Kahimba, Kimaro, Kuntosch, König, Lagwen, Lana, Lambert, Levy, Löhr, Maeda, Mbwana, Mchau, Mnimbo, Munder, Mwinuka, Ngwenya, Nickson, Nkonya, Saidia, Schäfer, Schindler, Silayo, Uckert, Wambura, William, 2019: Multi-Disciplinary North-South Collaboration in Participatory Action Research on Food Value Chains: a German-Tanzanian Case Study on Perceptions, Experiences and Challenges. Systemic Practice and Action Research (32), Issue 4, 359–378.
  • Albers, Gornott, Hüttel, 2017: How do inputs and weather drive wheat yield volatility? The example of Germany, Food Policy (70), 50-61.
  • Lana, Vasconcelos, Gornott, Schaffert, Bonatti, Volk, Graef, Kersebaum, Sieber: Is dry soil planting an adaptation strategy for maize cultivation in a semi-arid region? Food Security (10), Issue 4, 897–910.
  • Schauberger, Gornott, Wechsung, 2017: Global evaluation of a semiempirical model for yield anomalies and application to within-season yield forecasting, Global Change Biology (23), Issue 11, 4750-4764.
  • Conradt, Gornott, Wechsung, 2016: Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis, Agricultural and Forest Meteorology (216), 68–81.
  • Gornott & Wechsung, 2016: Statistical regression models for assessing climate impacts on crop yields: A validation study for winter wheat and silage maize in Germany, Agricultural and Forest Meteorology (217), 89–100. 
  • Gornott & Wechsung, 2015: Level normalized modeling approach of yield volatility for winter wheat and silage maize on different scales within Germany, Jornal für Kulturpflanzen (67) 6, 205–223.


Other

  • Murken, Cartsburg, Chemura, Didovets, Gleixner, Koch, Lehmann, Liersch, Lüttringhaus,  Rivas Lopez, Noleppa, Roehrig, Schauberger, Shukla, Tomalka, Yalew, Gornott,  2020: Climate risk analysis for identifying and weighing adaptation strategies in Ethiopia’s agricultural sector.  A report prepared by the Potsdam Institute for Climate Impact Research  for the Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH on  behalf of the German Federal Ministry for Economic Cooperation and  Development, 150 pp. https://doi.org/10.2312/pik.2020.003
  • Tomalka, Lange, Röhrig, Gornott, 2020: Climate Risk Profile for Burkina Faso and Niger. A joint publication by the Potsdam Institute for Climate Impact Research, the German Federal Ministry for Economic Cooperation and Development, the Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH and the KfW Development Bank, 12 pp., Climate Risk Profiles for Sub-Saharan Africa Series.
  • Röhrig, Lange, Aschenbrenner, Chemura, Murken, Grams, Klockemann, Romanato, Haider, Gornott, 2019: Climate Risk Profile for Ghana. A joint publication by the Potsdam Institute for Climate Impact Research, the German Federal Ministry for Economic Cooperation and Development, the Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH and the KfW Development Bank, 12 pp.
  • Murken, Aschenbrenner, Chemura, Hattermann, Koch, Lehmann, Liersch, Röhrig, Schauberger, Yalew, Gornott, 2019: Climate risk analysis for identifying and weighing adaptation strategies in Ghana’s agricultural sector. A report prepared by the Potsdam Institute for Climate Impact Research for the Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH on behalf of the German Federal Ministry for Economic Cooperation and Development, 94 pp, https://doi.org/10.2312/pik.2020.001.
  • Lüttringhaus, Noleppa, Gornott, Lotze-Campen, 2019: Climate change impacts on European crop production – A literature review, HFFA Research Paper 01 / 2019.
  • Gornott, 2018: Improving crop modeling approaches for supporting farmers to cope with weather risks, Dissertation at Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, http://dx.doi.org/10.18452/19266.
  • Liersch, Gornott, 2015: Effects of climate change on sustainable food and nutrition security – with case studies in Kenya, Pakistan and Peru, Report Welthungerhilfe.

 

As sole project lead

  • Agrica Sahel (2021-2023): Development of agricultural forecast systems and evaluation of adaptation strategies in the Sahel region, funded by BMZ with 1 800 000 Euro.
  • InACRI (2020-2022): Implementation of agricultural insurances in Kenya, funded by BMBF with 500 000 Euro.
  • CC&H (2020-2022): Climate change and health in Burkina Faso and Kenya, funded by DFG with 220 000 Euro.
  • Geo.X (2019-2022): Coffee value chains in Ethiopia and Vietnam, funded by Helmholtz Association with 200 000 Euro.
  • SNRD (2019-2019): Climate change and labor in sub-Saharan Africa, funded by GIZ with 6 000 Euro.
  • Agrica West Africa (2018-2020): Agricultural modeling and evaluation of adaptation strategies in Niger and Burkina Faso, funded by GIZ and BMZ with 585 000 Euro.
  • Agrica (2018-2020): Evaluation of adaptation strategies in Ethiopia, funded by GIZ and BMZ with 640 000 Euro.
  • GhanAgrica (2018-2020): Agricultural modeling and evaluation of adaptation strategies for Ghana at national and district level, funded by GIZ and BMZ with 320 000 Euro.
  • ClimSec (2018-2020): Climate change and security, development of an early warning system in Ethiopia, Mali and Burkina Faso, funded by the German Foreign Office with 200 000 Euro.
  • AgRATI Demonstrator (2018-2019): Implementation of agricultural insurance solutions in India, funded by Climate-KIC with 300 000 Euro.
  • AgRATI Accelerator (2017-2018): Implementation of agricultural insurance solutions in Tanzania, funded by Climate-KIC with 50 000 Euro.
  • CLIMSU (2017-2018): Evaluation of sugar value chains in Brazil, funded by Climate-KIC with 150 000 Euro.
  • YLIT (2017-2017): Development of index insurances for Tanzania, funded by Climate-KIC with 30 000 Euro.


Shared project lead

  • H2020_Insurance (2017-2020): Development of agricultural insurance solutions, EU-funded with 5 000 000 Euro.
  • CAT Peru, together with GAF AG (2017-2018): Improvement of agricultural information systems in Peru, funded by GIZ, IKI and BMUB with 500 000 Euro.
  • CYE - Crop Yield Estimates India, together with GAF AG (2017-2018): Development of yield indexes for India, funded by Munich Re with 240 000 Euro.
  • Food Security, Migration and Conflict (FSMC), together with ZALF (2017-2017): Migration dynamics in East Africa, funded by the Leibniz Association with 24 000 Euro.
  • CYE – Crop Yield Estimates Tanzania, together with GAF AG (2016-2017): Development of yield indexes for Tanzania, funded by Munich Re with 120 000 Euro.


Work package lead

  • Green Vision Central Asia (2020-2024): Development of yield forecast systems, funded by the German Foreign Office with 2 300 000 Euro.
  • EPICC (2018-2021): Climate services for Peru, India and Tanzania, funded by IKI and BMUB with 4 800 000 Euro.
  • GeoCare (2017-2019): Advancement of yield forecasts for Germany focusing on big data in agriculture, funded by BLE with 280 000 Euro.
  • Trans-SEC (2013-2018): Innovative strategies for safeguarding food security using technology and knowledge transfer, funded by BMBF, BMZ and GlobE with 7 500 000 Euro.

Invited member of Global Risk Assessment Framework (GRAF) Working Group by UNDRR

Member of the expert panel of the Clearing House for Risk Transfer from the Executive Committee of the Warsaw International Mechanism for Loss and Damage (UNFCCC)

Organized Side Event at the Conference of the Parties (COP): official UNFCCC Side at COP25 in Madrid (2019); Side Event in the EU Pavilion at COP 25 in Madrid (2019), COP 24 in Katowice (2018), COP 23 in Bonn (2017), COP 22 in Marrakesh (2016)

Selected as word-leading supplier for agricultural loss assessments by Munich Re

Policy advice in the field of climate change impacts on the agricultural sector for several ministries and international organizations