2014
DOI: 10.3390/d6010133
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Predicting Climate Change Impacts to the Canadian Boreal Forest

Abstract: Climate change is expected to alter temperature, precipitation, and seasonality with potentially acute impacts on Canada's boreal. In this research we predicted future spatial distributions of biodiversity in Canada's boreal for 2020, 2050, and 2080 using indirect indicators derived from remote sensing and based on vegetation productivity. Vegetation productivity indices, representing annual amounts and variability of greenness, have been shown to relate to tree and wildlife richness in Canada's boreal. Relati… Show more

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Cited by 27 publications
(24 citation statements)
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References 76 publications
(89 reference statements)
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“…To quantify productivity variance, we used modelled future productivity maps by Nelson et al. () briefly described below. These mapping and productivity predictions were carried out using boreal ecodistricts as the spatial unit (592 polygons in all, with a minimum size of about 100,000 ha).…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…To quantify productivity variance, we used modelled future productivity maps by Nelson et al. () briefly described below. These mapping and productivity predictions were carried out using boreal ecodistricts as the spatial unit (592 polygons in all, with a minimum size of about 100,000 ha).…”
Section: Methodsmentioning
confidence: 99%
“…Model fits were then used with the IPCC climate change scenarios (A1B, A2, B1) to forecast DHI values for the years 2020, 2050 and 2080 (Nelson et al. ). In total, there were 27 future vegetation productivity maps created (3 climate change scenarios × 3 DHI components × 3 different future dates).…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Changes in the water level in these river systems because of the loss of glaciers in the rocky Mountains may also decrease N. loriana habitat (Schindler 2001). thus global climate change may eventually have a negative impact on this species (Nelson et al 2014).…”
Section: Conservation Issuesmentioning
confidence: 99%