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
Catchment Systems
Farming Footprints and Adaptations Team Leader
Statistician
SCIENTIFIC TECHNICIAN
Ecologist
Ecosystems Modeller
Molecular Microbiologist - Bioinformatician
Agronomist
Molecular Plant Pathologist
Plant Pathologist; Aerobiologist
SOIL CARBON MODELLER - AGROECOSYSTEMS MODELLER
Plant Pathologist
Executive Assistant & Project Manager
Atmospheric Chemist
Weed Ecology Technician
Knowledge Exchange Manager
ENVIRONMENTAL SCIENTIST
Mathematical Modeller
Agri-Informatician
Weed Ecology Technician
Soil Health and Management Team Leader
Environmental Scientist
Hydrologist
Agricultural Scientist
PLANT PATHOLOGIST
AGRI-ENVIRONMENT MODELLER
Plant Lipid Biochemist
Scientific Technician - Hydrology
Scientific Specialist
Post-doctoral researcher