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Curtis is an economist at Fera with interests in the application of quantitative economic models to issues of trade, biosecurity risk, natural capital, and the circular economy.
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Curtis is involved in several projects, which include a comparison of costs and benefits of plant health management strategies and an assessment of non-woodland tree establishment programmes.
Curtis has a Bachelor of Arts with Honours degree in Applied Economics from Queen’s University (Kingston, Canada) and a Master of Science degree in Agricultural and Natural Resource Economics from the University of Alberta (Edmonton, Canada).
Whether you need to survey land to monitor crop health or yields, identify tree species, assess vegetation cover, or map large sites to determine ground conditions and resource availability, our Remote Sensing and Geographical Information Systems (GIS) scientists can use cutting-edge UAV and sensor technology to supply all the imagery and analysis you need.
Fera scientists use Geographical Information Systems (GIS) and
geographic analysis to visualise, analyse and interpret data in a
spatial manner to help governments, policymakers and planners
understand relationships, patterns and trends.
· Bacterial Plant Diseases Programme, Caliber (2021-2022): trade model analysis incorporating risk of invasive plant pests and pathogens; farm level economic decision model to use next generation sequencing for virus detection.
· Defra Shared Outcomes Fund: Trees Outside Woodlands (2022 – 2023): an economic cost assessment of tree establishment trials in urban and agricultural landscapes across five local authorities.
· Economic cost of Highly Pathogenic Avian Influenza (HPAI) outbreaks (2022): assessment of economic impacts of recent avian influenza outbreak.
· EU China SAFE (2021 – 2022): trade impact assessment of safe versus contaminated meat products; stakeholder perceptions of a virtual EU-China virtual laboratory.
· Land 360 (2022): economic modelling of farm-level land use options, including arable crops, dedicated energy crops, woodland creation, and biodiversity improvement.
· Defra Future Proofing Plant Health (2021 – 2023): web-based tool to assess economically optimal control strategies for oak processionary moth (OPM).
McKnight, C., Qiu, F., Luckert, M., & Hauer, G. (2021). Prices for a second-generation biofuel industry in Canada: Market linkages between Canadian wheat and US energy and agricultural commodities. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 69(3), 337-351. https://doi.org/https://doi.org/10.1111/cjag.12295
McKnight, C., Qiu, F., Luckert, M., & Hauer, G. (2022). Price volatility spillovers between Canadian and US, agricultural and fuel markets. Biofuels, 1-9. https://doi.org/10.1080/17597269.2022.2116770
Fera Science Symposium 2021 – “An Economics Perspective of Natural Capital & Soil”
FERA Science Symposium 2022 – “Monetizing Biodiversity and Carbon: Implications for land use change”
If you need to survey an area of land for development, crop or vegetation monitoring, land condition assessment or any other spatial or mapping study – you can save considerable time, money & resources with Fera’s Unmanned Aerial Vehicle (UAV) services.
We help societies to become more resilient or achieve the three pillars of sustainability through combining bottom and top-down decision making approaches under rapid socio-economic changes. Fera can help you to understand the likely impacts and cost-effectiveness of your decisions and actions, so you can make well-informed choices on how to deploy the economic resources available.
Fera is in a unique position to combine academic research, big data, forecasting models and information from a host of sources to inform practical environmental solutions and policy decisions across the public and private sector.
· Bacterial Plant Diseases Programme, Caliber (2021-2022): trade model analysis incorporating risk of invasive plant pests and pathogens; farm level economic decision model to use next generation sequencing for virus detection.
· Defra Shared Outcomes Fund: Trees Outside Woodlands (2022 – 2023): an economic cost assessment of tree establishment trials in urban and agricultural landscapes across five local authorities.
· Economic cost of Highly Pathogenic Avian Influenza (HPAI) outbreaks (2022): assessment of economic impacts of recent avian influenza outbreak.
· EU China SAFE (2021 – 2022): trade impact assessment of safe versus contaminated meat products; stakeholder perceptions of a virtual EU-China virtual laboratory.
· Land 360 (2022): economic modelling of farm-level land use options, including arable crops, dedicated energy crops, woodland creation, and biodiversity improvement.
· Defra Future Proofing Plant Health (2021 – 2023): web-based tool to assess economically optimal control strategies for oak processionary moth (OPM).
McKnight, C., Qiu, F., Luckert, M., & Hauer, G. (2021). Prices for a second-generation biofuel industry in Canada: Market linkages between Canadian wheat and US energy and agricultural commodities. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 69(3), 337-351. https://doi.org/https://doi.org/10.1111/cjag.12295
McKnight, C., Qiu, F., Luckert, M., & Hauer, G. (2022). Price volatility spillovers between Canadian and US, agricultural and fuel markets. Biofuels, 1-9. https://doi.org/10.1080/17597269.2022.2116770
Fera Science Symposium 2021 – “An Economics Perspective of Natural Capital & Soil”
FERA Science Symposium 2022 – “Monetizing Biodiversity and Carbon: Implications for land use change”
If you need to survey an area of land for development, crop or vegetation monitoring, land condition assessment or any other spatial or mapping study – you can save considerable time, money & resources with Fera’s Unmanned Aerial Vehicle (UAV) services.
We help societies to become more resilient or achieve the three pillars of sustainability through combining bottom and top-down decision making approaches under rapid socio-economic changes. Fera can help you to understand the likely impacts and cost-effectiveness of your decisions and actions, so you can make well-informed choices on how to deploy the economic resources available.
Fera is in a unique position to combine academic research, big data, forecasting models and information from a host of sources to inform practical environmental solutions and policy decisions across the public and private sector.
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