Predicting Climate Change Impacts to the Canadian Boreal Forest
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 sens...
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Online Access: | http://hdl.handle.net/1828/12201 https://doi.org/10.3390/d6010133 |
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ftuvicpubl:oai:dspace.library.uvic.ca:1828/12201 2023-05-15T16:35:30+02:00 Predicting Climate Change Impacts to the Canadian Boreal Forest Nelson, Trisalyn A. Coops, Nicholas C. Wulder, Michael A. Perez, Liliana Fitterer, Jessica Powers, Ryan Fontana, Fabio 2014 application/pdf http://hdl.handle.net/1828/12201 https://doi.org/10.3390/d6010133 en eng Diversity Nelson, T. A., Coops, N. C., Wulder, M. A., Perez, L., Fitterer, J., Powers, R., & Fontana, F. (2014). Predicting Climate Change Impacts to the Canadian Boreal Forest. Diversity, 6(1), 133-157. https://doi.org/10.3390/d6010133. https://doi.org/10.3390/d6010133 http://hdl.handle.net/1828/12201 climate change biodiversity boreal space-time analysis fPAR DHI Article 2014 ftuvicpubl https://doi.org/10.3390/d6010133 2022-05-19T06:13:16Z 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. Relationships between historical satellite-derived productivity and climate data were applied to modelled scenarios of future climate to predict and map potential future vegetation productivity for 592 regions across Canada. Results indicated that the pattern of vegetation productivity will become more homogenous, particularly west of Hudson Bay. We expect climate change to impact biodiversity along north/south gradients and by 2080 vegetation distributions will be dominated by processes of seasonality in the north and a combination of cumulative greenness and minimum cover in the south. The Hudson Plains, which host the world’s largest and most contiguous wetland, are predicted to experience less seasonality and more greenness. The spatial distribution of predicted trends in vegetation productivity was emphasized over absolute values, in order to support regional biodiversity assessments and conservation planning. This work was supported by GEOIDE and was undertaken as an extension of the BioSpace: Biodiversity monitoring with Earth Observation data project jointly funded by the Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP), Canadian Forest Service (CFS) Pacific Forestry Centre (PFC), and the University of British Columbia (UBC). Faculty Reviewed Article in Journal/Newspaper Hudson Bay University of Victoria (Canada): UVicDSpace Canada Hudson Hudson Bay Pacific Diversity 6 1 133 157 |
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Open Polar |
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University of Victoria (Canada): UVicDSpace |
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ftuvicpubl |
language |
English |
topic |
climate change biodiversity boreal space-time analysis fPAR DHI |
spellingShingle |
climate change biodiversity boreal space-time analysis fPAR DHI Nelson, Trisalyn A. Coops, Nicholas C. Wulder, Michael A. Perez, Liliana Fitterer, Jessica Powers, Ryan Fontana, Fabio Predicting Climate Change Impacts to the Canadian Boreal Forest |
topic_facet |
climate change biodiversity boreal space-time analysis fPAR DHI |
description |
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. Relationships between historical satellite-derived productivity and climate data were applied to modelled scenarios of future climate to predict and map potential future vegetation productivity for 592 regions across Canada. Results indicated that the pattern of vegetation productivity will become more homogenous, particularly west of Hudson Bay. We expect climate change to impact biodiversity along north/south gradients and by 2080 vegetation distributions will be dominated by processes of seasonality in the north and a combination of cumulative greenness and minimum cover in the south. The Hudson Plains, which host the world’s largest and most contiguous wetland, are predicted to experience less seasonality and more greenness. The spatial distribution of predicted trends in vegetation productivity was emphasized over absolute values, in order to support regional biodiversity assessments and conservation planning. This work was supported by GEOIDE and was undertaken as an extension of the BioSpace: Biodiversity monitoring with Earth Observation data project jointly funded by the Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP), Canadian Forest Service (CFS) Pacific Forestry Centre (PFC), and the University of British Columbia (UBC). Faculty Reviewed |
format |
Article in Journal/Newspaper |
author |
Nelson, Trisalyn A. Coops, Nicholas C. Wulder, Michael A. Perez, Liliana Fitterer, Jessica Powers, Ryan Fontana, Fabio |
author_facet |
Nelson, Trisalyn A. Coops, Nicholas C. Wulder, Michael A. Perez, Liliana Fitterer, Jessica Powers, Ryan Fontana, Fabio |
author_sort |
Nelson, Trisalyn A. |
title |
Predicting Climate Change Impacts to the Canadian Boreal Forest |
title_short |
Predicting Climate Change Impacts to the Canadian Boreal Forest |
title_full |
Predicting Climate Change Impacts to the Canadian Boreal Forest |
title_fullStr |
Predicting Climate Change Impacts to the Canadian Boreal Forest |
title_full_unstemmed |
Predicting Climate Change Impacts to the Canadian Boreal Forest |
title_sort |
predicting climate change impacts to the canadian boreal forest |
publisher |
Diversity |
publishDate |
2014 |
url |
http://hdl.handle.net/1828/12201 https://doi.org/10.3390/d6010133 |
geographic |
Canada Hudson Hudson Bay Pacific |
geographic_facet |
Canada Hudson Hudson Bay Pacific |
genre |
Hudson Bay |
genre_facet |
Hudson Bay |
op_relation |
Nelson, T. A., Coops, N. C., Wulder, M. A., Perez, L., Fitterer, J., Powers, R., & Fontana, F. (2014). Predicting Climate Change Impacts to the Canadian Boreal Forest. Diversity, 6(1), 133-157. https://doi.org/10.3390/d6010133. https://doi.org/10.3390/d6010133 http://hdl.handle.net/1828/12201 |
op_doi |
https://doi.org/10.3390/d6010133 |
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Diversity |
container_volume |
6 |
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1 |
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133 |
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157 |
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1766025733497421824 |