As part of the Knowledge and Data Management team, I lead CABI’s geospatial activities, from data collection to end-product delivery. I work with CABI’s scientists to ensure that we use the right methods and tools to analyse data, gain insights, and communicate our findings. I promote the use of Geographic Information Systems to ensure the organisation and it partners understand the value of geospatial data and its role in project and product development.
Rising temperatures have led to pests, diseases and weeds establishing in areas of the world that were previously uninhabitable. Furthermore, growth in global trade and new trade pathways increase the risk of accidental movement of pests. Earth Observation (EO) and climatic data can help by improving predictions about where potential agricultural pests and diseases may be a threat. Information produced by models can help decision makers understand and prepare for future risks. Working with a consortium of researchers, this project will use EO data to improve the data layers used in models that predict where pests can establish, including irrigation, areas under protected agriculture and climatic canopy conditions, demonstrating the improvements made to species distribution estimations for key pests and biological control agents.
It is projected that food demand will more than double by 2050 due to climate changes. Food security in Pakistan is particularly reliant on its ability to produce wheat and rice, however, an invasive species of weed, the “Famine Weed” (Parthenium hysterophorus), has been identified as a critical threat to agriculture and human prosperity in Pakistan.