Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets
Climate has a considerable influence on tree growth. Forest managers benefit from the empirical study of the historic relationship between climatic variables and tree growth to support forest management frameworks that are to be applied under scenarios of climate change. Through this research, we ha...
Published in: | Canadian Journal of Forest Research |
---|---|
Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Canadian Science Publishing
2021
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/full-xml/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/pdf/10.1139/cjfr-2020-0257 |
id |
crcansciencepubl:10.1139/cjfr-2020-0257 |
---|---|
record_format |
openpolar |
spelling |
crcansciencepubl:10.1139/cjfr-2020-0257 2024-04-28T08:28:47+00:00 Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets Searls, T. Zhu, X. McKenney, D.W. Mazumder, R. Steenberg, J. Yan, G. Meng, F.-R. 2021 http://dx.doi.org/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/full-xml/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/pdf/10.1139/cjfr-2020-0257 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Forest Research volume 51, issue 7, page 1039-1049 ISSN 0045-5067 1208-6037 Ecology Forestry Global and Planetary Change journal-article 2021 crcansciencepubl https://doi.org/10.1139/cjfr-2020-0257 2024-04-02T06:55:55Z Climate has a considerable influence on tree growth. Forest managers benefit from the empirical study of the historic relationship between climatic variables and tree growth to support forest management frameworks that are to be applied under scenarios of climate change. Through this research, we have utilized long-term permanent sample plot records, historic climate data sets, and linear mixed modelling techniques to evaluate the historic influence of climatic variables on the growth rates of major boreal tree species in Newfoundland and Labrador, Canada. For the commercially significant spruce and fir forests of the province, we found growing degree-days (GDD) to negatively correlate with tree productivity in warmer regions, such as much of Newfoundland (±1350 GDD), but positively correlate with growth in cooler regions, such as those in Labrador (±750 GDD). With respect to precipitation, environmental moisture was not on average a limiting factor to species productivity in the province. These dynamics have implications for the productivity of the spruce–fir forests of the study area when considered alongside contemporary climate projections for the region, which generally entail both a warmer and wetter growing environment. Article in Journal/Newspaper Newfoundland Canadian Science Publishing Canadian Journal of Forest Research 1 11 |
institution |
Open Polar |
collection |
Canadian Science Publishing |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Ecology Forestry Global and Planetary Change |
spellingShingle |
Ecology Forestry Global and Planetary Change Searls, T. Zhu, X. McKenney, D.W. Mazumder, R. Steenberg, J. Yan, G. Meng, F.-R. Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
topic_facet |
Ecology Forestry Global and Planetary Change |
description |
Climate has a considerable influence on tree growth. Forest managers benefit from the empirical study of the historic relationship between climatic variables and tree growth to support forest management frameworks that are to be applied under scenarios of climate change. Through this research, we have utilized long-term permanent sample plot records, historic climate data sets, and linear mixed modelling techniques to evaluate the historic influence of climatic variables on the growth rates of major boreal tree species in Newfoundland and Labrador, Canada. For the commercially significant spruce and fir forests of the province, we found growing degree-days (GDD) to negatively correlate with tree productivity in warmer regions, such as much of Newfoundland (±1350 GDD), but positively correlate with growth in cooler regions, such as those in Labrador (±750 GDD). With respect to precipitation, environmental moisture was not on average a limiting factor to species productivity in the province. These dynamics have implications for the productivity of the spruce–fir forests of the study area when considered alongside contemporary climate projections for the region, which generally entail both a warmer and wetter growing environment. |
format |
Article in Journal/Newspaper |
author |
Searls, T. Zhu, X. McKenney, D.W. Mazumder, R. Steenberg, J. Yan, G. Meng, F.-R. |
author_facet |
Searls, T. Zhu, X. McKenney, D.W. Mazumder, R. Steenberg, J. Yan, G. Meng, F.-R. |
author_sort |
Searls, T. |
title |
Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
title_short |
Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
title_full |
Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
title_fullStr |
Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
title_full_unstemmed |
Assessing the influence of climate on the growth rate of boreal tree species in northeastern Canada through long-term permanent sample plot data sets |
title_sort |
assessing the influence of climate on the growth rate of boreal tree species in northeastern canada through long-term permanent sample plot data sets |
publisher |
Canadian Science Publishing |
publishDate |
2021 |
url |
http://dx.doi.org/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/full-xml/10.1139/cjfr-2020-0257 https://cdnsciencepub.com/doi/pdf/10.1139/cjfr-2020-0257 |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Canadian Journal of Forest Research volume 51, issue 7, page 1039-1049 ISSN 0045-5067 1208-6037 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfr-2020-0257 |
container_title |
Canadian Journal of Forest Research |
container_start_page |
1 |
op_container_end_page |
11 |
_version_ |
1797587203452305408 |