The big picture: using wildflower strips for pest control
Combining primary and secondary data, in vivo and in silico experiments, and the development of data science and decision-making tools, to forearm the farming sector and additional stakeholders.
Conjectures of ‘perfect storms’ and ‘ghastly futures’ are based largely on recent limited observations, narratives and simple indices of environmental degradation rather than comprehensive systems-based analysis. A robust scientific understanding of which abiotic and biotic stresses, individually and combined, are most likely to disrupt agricultural goods and services is lacking, meaning that systems adaptations for safeguarding the resilience of UK agriculture cannot be recommended with confidence. The Resilient Farming Futures ISP meets this challenge head-on and will combine primary and secondary data, in vivo and in silico experiments, and the development of data science and decision-making tools, to forearm the farming sector and additional stakeholders.
Science Director
Agricultural Scientist
Statistician
SCIENTIFIC TECHNICIAN
Ecologist
RESEARCHER
Catchment Systems
Ecosystems Modeller
Molecular Microbiologist - Bioinformatician
Agronomist
Molecular Plant Pathologist
Plant Pathologist; Aerobiologist
SOIL CARBON MODELLER - AGROECOSYSTEMS MODELLER
Plant Pathologist
Executive Assistant to the Science Director
Atmospheric Chemist
Weed Ecology Technician
Soil Scientist
ENVIRONMENTAL SCIENTIST
Project Leader - North Wyke Farm Platform
Mathematical Modeller
AGRI-ENVIRONMENT MODELLER
Agri-Informatician
Weed Ecology Technician
Scientific Technician - Hydrology
PRINCIPAL RESEARCH SCIENTIST
Systems Agronomist
Environmental Scientist
Scientific Specialist
Hydrologist