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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Published in:Diversity
Main Authors: Nelson, Trisalyn A., Coops, Nicholas C., Wulder, Michael A., Perez, Liliana, Fitterer, Jessica, Powers, Ryan, Fontana, Fabio
Format: Article in Journal/Newspaper
Language:English
Published: Diversity 2020
Subjects:
geo
Online Access:http://hdl.handle.net/1828/12201
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spelling 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
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic envir
geo
spellingShingle 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
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