Predicting Climate Change Impacts to the Canadian Boreal Forest
Reviewed 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 re...
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fttriple:oai:gotriple.eu: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 2020-10-13 http://hdl.handle.net/1828/12201 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. 12201 http://hdl.handle.net/1828/12201 undefined UVic’s Research and Learning Repository envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple 2023-01-22T16:34:58Z Reviewed 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 Article in Journal/Newspaper Hudson Bay Unknown Canada Hudson Hudson Bay Pacific Diversity 6 1 133 157 |
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envir geo 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 |
envir geo |
description |
Reviewed 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 |
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 |
2020 |
url |
http://hdl.handle.net/1828/12201 |
geographic |
Canada Hudson Hudson Bay Pacific |
geographic_facet |
Canada Hudson Hudson Bay Pacific |
genre |
Hudson Bay |
genre_facet |
Hudson Bay |
op_source |
UVic’s Research and Learning Repository |
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. 12201 http://hdl.handle.net/1828/12201 |
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container_title |
Diversity |
container_volume |
6 |
container_issue |
1 |
container_start_page |
133 |
op_container_end_page |
157 |
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1766025723825356800 |