2015
DOI: 10.5539/eer.v5n1p49
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Modelling the Potential Impact of Climate Change on Agricultural Production in the Province of British Columbia

Abstract: The goal of this research was to model the potential impact of climate change on food production, in the Fraser Valley and Peace River regions of British Columbia (BC), using historical crop yield and climate data. We identified eight indicator crops of importance for these regions of BC and utilized historical Census of Agriculture and climate data (temperature and precipitation) to model future potential impacts of climate change on agriculture. We developed three climate change scenarios for these eight ind… Show more

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Cited by 2 publications
(1 citation statement)
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“…This is primarily due to the conditions of the area being favourable to early-maturing crops, such as canola, with longer days and extended frost-free periods resulting in increased yields (Peace River Regional District, 2014). British Columbia informs a large amount of its provincial scale decision making from areas that are under the dedicated Agricultural Land Reserve (ALR) scheme (Perez et al, 2015). Established in 1973 the ALR spans the entire province, mapped in figure 1, and serves to protect roughly 5 million hectares of farmland by incentivising farming in the area and limiting non-agricultural uses (Androkovich et al, 2008).…”
Section: Case Study Locationsmentioning
confidence: 99%
“…This is primarily due to the conditions of the area being favourable to early-maturing crops, such as canola, with longer days and extended frost-free periods resulting in increased yields (Peace River Regional District, 2014). British Columbia informs a large amount of its provincial scale decision making from areas that are under the dedicated Agricultural Land Reserve (ALR) scheme (Perez et al, 2015). Established in 1973 the ALR spans the entire province, mapped in figure 1, and serves to protect roughly 5 million hectares of farmland by incentivising farming in the area and limiting non-agricultural uses (Androkovich et al, 2008).…”
Section: Case Study Locationsmentioning
confidence: 99%