Predicting Climate Change Impacts to the Canadian Boreal Forest

dc.contributor.authorNelson, Trisalyn A.
dc.contributor.authorCoops, Nicholas C.
dc.contributor.authorWulder, Michael A.
dc.contributor.authorPerez, Liliana
dc.contributor.authorFitterer, Jessica
dc.contributor.authorPowers, Ryan
dc.contributor.authorFontana, Fabio
dc.date.accessioned2020-10-13T23:51:48Z
dc.date.available2020-10-13T23:51:48Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.description.abstractClimate 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.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis 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).en_US
dc.identifier.citationNelson, 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.en_US
dc.identifier.urihttps://doi.org/10.3390/d6010133
dc.identifier.urihttp://hdl.handle.net/1828/12201
dc.language.isoenen_US
dc.publisherDiversityen_US
dc.subjectclimate changeen_US
dc.subjectbiodiversityen_US
dc.subjectborealen_US
dc.subjectspace-time analysisen_US
dc.subjectfPARen_US
dc.subjectDHIen_US
dc.titlePredicting Climate Change Impacts to the Canadian Boreal Foresten_US
dc.typeArticleen_US

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