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Grant: Alliance Grants

University of Prince Edward Island

$20,000.00

Development of a customized pest prediction system for Prince Edward Island

FY 2023-24

Summary
Insect development is often tied to temperature and its outbreaks may become more prevalent as temperatures increase. Pests in agriculture can include weeds, plant diseases (fungi, bacteria, and viruses), rodents, and nematodes, as well as plant-feeding insects and mites, and are estimated to damage up to one-third of overall agricultural productivity. This is especially true for Prince Edward Island, where the agricultural pests (e.g., wireworm) have shown a significant growth in both population and geographical distributions in recent years, due to the changing climatic conditions. A better understanding of pest incursion in the face of future climate change is not only highly valuable for species conservation; it can also be paramount for the preservation of natural resources and for local communities that rely on those resources. Therefore, this project aims to develop a customized pest prediction system for Prince Edward Island (PEI) through the partnership with the PEI Department of Agriculture and Land (DAL). This will help bridge the gap in pest prediction in PEI by using the latest high-resolution seasonal climate data and long-term climate change scenarios. The results from this project can provide the research scientists in PEI DAL and local farmers in PEI with science-based information to support their current pest management practices and to help them develop long-term adaptation measures for future climate change.
Program
Alliance Grants
Location
Prince Edward Island, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
580898-2022
Name nom
Wang, Xander X
Department département
Climate Change and Adaptation, School
Organization id
88
Institution établissement
University of Prince Edward Island
Province en
Prince Edward Island
Province fr
Île-du-Prince-Édouard
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
20000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
1200
Research subject group en
Agricultural engineering
Research subject group fr
Agricultural engineering
Research subject en
Génie rural
Research subject fr
Génie rural
Application title
Development of a customized pest prediction system for Prince Edward Island
Keyword
Bioclimate model; Climate change; Climate change impact assessment; Data portal; Pest prediction; Seasonal climate prediction
Application summary
Insect development is often tied to temperature and its outbreaks may become more prevalent as temperatures increase. Pests in agriculture can include weeds, plant diseases (fungi, bacteria, and viruses), rodents, and nematodes, as well as plant-feeding insects and mites, and are estimated to damage up to one-third of overall agricultural productivity. This is especially true for Prince Edward Island, where the agricultural pests (e.g., wireworm) have shown a significant growth in both population and geographical distributions in recent years, due to the changing climatic conditions. A better understanding of pest incursion in the face of future climate change is not only highly valuable for species conservation; it can also be paramount for the preservation of natural resources and for local communities that rely on those resources. Therefore, this project aims to develop a customized pest prediction system for Prince Edward Island (PEI) through the partnership with the PEI Department of Agriculture and Land (DAL). This will help bridge the gap in pest prediction in PEI by using the latest high-resolution seasonal climate data and long-term climate change scenarios. The results from this project can provide the research scientists in PEI DAL and local farmers in PEI with science-based information to support their current pest management practices and to help them develop long-term adaptation measures for future climate change.
University of Prince Edward Island - $20,000 Grant (2… | Canada Spends