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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ftmdpi:oai:mdpi.com:/1424-2818/6/1/133/ 2023-08-20T04:07:04+02:00 Predicting Climate Change Impacts to the Canadian Boreal Forest Trisalyn Nelson Nicholas Coops Michael Wulder Liliana Perez Jessica Fitterer Ryan Powers Fabio Fontana agris 2014-03-03 application/pdf https://doi.org/10.3390/d6010133 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/d6010133 https://creativecommons.org/licenses/by/3.0/ Diversity; Volume 6; Issue 1; Pages: 133-157 climate change biodiversity boreal space-time analysis fPAR DHI Text 2014 ftmdpi https://doi.org/10.3390/d6010133 2023-07-31T20:36:11Z 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. Text Hudson Bay MDPI Open Access Publishing Canada Hudson Hudson Bay Diversity 6 1 133 157 |
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Open Polar |
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MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
climate change biodiversity boreal space-time analysis fPAR DHI |
spellingShingle |
climate change biodiversity boreal space-time analysis fPAR DHI Trisalyn Nelson Nicholas Coops Michael Wulder Liliana Perez Jessica Fitterer Ryan Powers Fabio Fontana 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. |
format |
Text |
author |
Trisalyn Nelson Nicholas Coops Michael Wulder Liliana Perez Jessica Fitterer Ryan Powers Fabio Fontana |
author_facet |
Trisalyn Nelson Nicholas Coops Michael Wulder Liliana Perez Jessica Fitterer Ryan Powers Fabio Fontana |
author_sort |
Trisalyn Nelson |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2014 |
url |
https://doi.org/10.3390/d6010133 |
op_coverage |
agris |
geographic |
Canada Hudson Hudson Bay |
geographic_facet |
Canada Hudson Hudson Bay |
genre |
Hudson Bay |
genre_facet |
Hudson Bay |
op_source |
Diversity; Volume 6; Issue 1; Pages: 133-157 |
op_relation |
https://dx.doi.org/10.3390/d6010133 |
op_rights |
https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.3390/d6010133 |
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Diversity |
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6 |
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1 |
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133 |
op_container_end_page |
157 |
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