Modeling boreal forest response to climate variability in central Canada
This study examines the importance of short-term climate variability when simulating forest succession using ecological process models. A version of the FORSKA2 forest gap model was modified for use with daily climate data and applied along a transect of sites crossing the boreal region in central C...
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Université d'Ottawa / University of Ottawa
2009
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Online Access: | https://dx.doi.org/10.20381/ruor-19092 http://www.ruor.uottawa.ca/handle/10393/28112 |
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ftdatacite:10.20381/ruor-19092 2023-05-15T18:40:27+02:00 Modeling boreal forest response to climate variability in central Canada Stratton, Tana Lowen 2009 https://dx.doi.org/10.20381/ruor-19092 http://www.ruor.uottawa.ca/handle/10393/28112 en eng Université d'Ottawa / University of Ottawa Climate Change. Agriculture, Forestry and Wildlife. Text Thesis article-journal ScholarlyArticle 2009 ftdatacite https://doi.org/10.20381/ruor-19092 2021-11-05T12:55:41Z This study examines the importance of short-term climate variability when simulating forest succession using ecological process models. A version of the FORSKA2 forest gap model was modified for use with daily climate data and applied along a transect of sites crossing the boreal region in central Canada, including the aspen-parkland and forest-tundra ecotones where impacts of climatic change on forest ecosystems could be particularly significant. The model's sensitivity to forcing with daily climate observations compared to monthly mean and long term averages of monthly mean climate data was investigated. Inclusion of daily climate (minimum and maximum temperature and total precipitation) improved the simulations of key characteristics of present-day forest along the transect, and was particularly important at the ecotones. The results demonstrate that changes in variability associated with future change in mean climate are likely to be important when trying to predict boreal forest responses to projected future climate change. Ideally, the use of projected daily climate data or data based on the statistical characteristics of daily climate is highly recommended for future impact studies. A number of approaches to further improve the functioning of the model are also presented. Thesis Tundra DataCite Metadata Store (German National Library of Science and Technology) Canada Parkland ENVELOPE(-120.570,-120.570,55.917,55.917) |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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language |
English |
topic |
Climate Change. Agriculture, Forestry and Wildlife. |
spellingShingle |
Climate Change. Agriculture, Forestry and Wildlife. Stratton, Tana Lowen Modeling boreal forest response to climate variability in central Canada |
topic_facet |
Climate Change. Agriculture, Forestry and Wildlife. |
description |
This study examines the importance of short-term climate variability when simulating forest succession using ecological process models. A version of the FORSKA2 forest gap model was modified for use with daily climate data and applied along a transect of sites crossing the boreal region in central Canada, including the aspen-parkland and forest-tundra ecotones where impacts of climatic change on forest ecosystems could be particularly significant. The model's sensitivity to forcing with daily climate observations compared to monthly mean and long term averages of monthly mean climate data was investigated. Inclusion of daily climate (minimum and maximum temperature and total precipitation) improved the simulations of key characteristics of present-day forest along the transect, and was particularly important at the ecotones. The results demonstrate that changes in variability associated with future change in mean climate are likely to be important when trying to predict boreal forest responses to projected future climate change. Ideally, the use of projected daily climate data or data based on the statistical characteristics of daily climate is highly recommended for future impact studies. A number of approaches to further improve the functioning of the model are also presented. |
format |
Thesis |
author |
Stratton, Tana Lowen |
author_facet |
Stratton, Tana Lowen |
author_sort |
Stratton, Tana Lowen |
title |
Modeling boreal forest response to climate variability in central Canada |
title_short |
Modeling boreal forest response to climate variability in central Canada |
title_full |
Modeling boreal forest response to climate variability in central Canada |
title_fullStr |
Modeling boreal forest response to climate variability in central Canada |
title_full_unstemmed |
Modeling boreal forest response to climate variability in central Canada |
title_sort |
modeling boreal forest response to climate variability in central canada |
publisher |
Université d'Ottawa / University of Ottawa |
publishDate |
2009 |
url |
https://dx.doi.org/10.20381/ruor-19092 http://www.ruor.uottawa.ca/handle/10393/28112 |
long_lat |
ENVELOPE(-120.570,-120.570,55.917,55.917) |
geographic |
Canada Parkland |
geographic_facet |
Canada Parkland |
genre |
Tundra |
genre_facet |
Tundra |
op_doi |
https://doi.org/10.20381/ruor-19092 |
_version_ |
1766229800561672192 |