Climatic determinants of berry crops in the boreal forest of the southwestern Yukon

Berry crops in the southwestern Yukon were quantified from 1997 to 2008 at 10 locations along 210 km of the Alaska and Haines highways. We tested the hypothesis that the size of berry crops could be predicted from spring and summer temperature and rainfall of years t, t–1 (1 year prior), and t–2 (2...

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Published in:Botany
Main Authors: Krebs, C. J., Boonstra, R., Cowcill, K., Kenney, A. J.
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2009
Subjects:
Online Access:http://dx.doi.org/10.1139/b09-013
http://www.nrcresearchpress.com/doi/full-xml/10.1139/B09-013
http://www.nrcresearchpress.com/doi/pdf/10.1139/B09-013
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spelling crcansciencepubl:10.1139/b09-013 2024-09-09T19:39:06+00:00 Climatic determinants of berry crops in the boreal forest of the southwestern Yukon Krebs, C. J. Boonstra, R. Cowcill, K. Kenney, A. J. 2009 http://dx.doi.org/10.1139/b09-013 http://www.nrcresearchpress.com/doi/full-xml/10.1139/B09-013 http://www.nrcresearchpress.com/doi/pdf/10.1139/B09-013 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Botany volume 87, issue 4, page 401-408 ISSN 1916-2790 1916-2804 journal-article 2009 crcansciencepubl https://doi.org/10.1139/b09-013 2024-06-27T04:11:00Z Berry crops in the southwestern Yukon were quantified from 1997 to 2008 at 10 locations along 210 km of the Alaska and Haines highways. We tested the hypothesis that the size of berry crops could be predicted from spring and summer temperature and rainfall of years t, t–1 (1 year prior), and t–2 (2 years prior). Six common species were studied in the boreal forest of the Kluane region: Arctostaphylos rubra (Rehd. & Wils.) Fern., Arctostaphylos uva-ursi (L.) Spreng. s.l., Empetrum nigrum L., Vaccinium vitis-idaea L., Geocaulon lividum (Richards) Fern, and Shepherdia canadensis (L.) Nutt.. For the first five species we counted berries on fixed 40 cm × 40 cm quadrats to obtain an index of berry production for the Kluane region for each of the 12 years, and for S. canadensis we counted berries on two tagged branches of 10 bushes at each location. Stepwise multiple regressions were utilized to predict the size of berry crops for each species. For all species, predictive equations could explain statistically 80%–96% of the variation in berry crops. Different weather variables characterized each plant species, and there was no common weather regression that could explain the variation in berry crops in all species. Rainfall and temperature from years t–1 and t–2 were typically the significant predictors. There was no indication of a periodicity in berry production, and 43%–60% of the quadrats counted had large berry crops at one year intervals, while other quadrats never had a high crop during the study interval. Article in Journal/Newspaper Empetrum nigrum Alaska Yukon Canadian Science Publishing Yukon Nutt ENVELOPE(108.217,108.217,-66.633,-66.633) Botany 87 4 401 408
institution Open Polar
collection Canadian Science Publishing
op_collection_id crcansciencepubl
language English
description Berry crops in the southwestern Yukon were quantified from 1997 to 2008 at 10 locations along 210 km of the Alaska and Haines highways. We tested the hypothesis that the size of berry crops could be predicted from spring and summer temperature and rainfall of years t, t–1 (1 year prior), and t–2 (2 years prior). Six common species were studied in the boreal forest of the Kluane region: Arctostaphylos rubra (Rehd. & Wils.) Fern., Arctostaphylos uva-ursi (L.) Spreng. s.l., Empetrum nigrum L., Vaccinium vitis-idaea L., Geocaulon lividum (Richards) Fern, and Shepherdia canadensis (L.) Nutt.. For the first five species we counted berries on fixed 40 cm × 40 cm quadrats to obtain an index of berry production for the Kluane region for each of the 12 years, and for S. canadensis we counted berries on two tagged branches of 10 bushes at each location. Stepwise multiple regressions were utilized to predict the size of berry crops for each species. For all species, predictive equations could explain statistically 80%–96% of the variation in berry crops. Different weather variables characterized each plant species, and there was no common weather regression that could explain the variation in berry crops in all species. Rainfall and temperature from years t–1 and t–2 were typically the significant predictors. There was no indication of a periodicity in berry production, and 43%–60% of the quadrats counted had large berry crops at one year intervals, while other quadrats never had a high crop during the study interval.
format Article in Journal/Newspaper
author Krebs, C. J.
Boonstra, R.
Cowcill, K.
Kenney, A. J.
spellingShingle Krebs, C. J.
Boonstra, R.
Cowcill, K.
Kenney, A. J.
Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
author_facet Krebs, C. J.
Boonstra, R.
Cowcill, K.
Kenney, A. J.
author_sort Krebs, C. J.
title Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
title_short Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
title_full Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
title_fullStr Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
title_full_unstemmed Climatic determinants of berry crops in the boreal forest of the southwestern Yukon
title_sort climatic determinants of berry crops in the boreal forest of the southwestern yukon
publisher Canadian Science Publishing
publishDate 2009
url http://dx.doi.org/10.1139/b09-013
http://www.nrcresearchpress.com/doi/full-xml/10.1139/B09-013
http://www.nrcresearchpress.com/doi/pdf/10.1139/B09-013
long_lat ENVELOPE(108.217,108.217,-66.633,-66.633)
geographic Yukon
Nutt
geographic_facet Yukon
Nutt
genre Empetrum nigrum
Alaska
Yukon
genre_facet Empetrum nigrum
Alaska
Yukon
op_source Botany
volume 87, issue 4, page 401-408
ISSN 1916-2790 1916-2804
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
op_doi https://doi.org/10.1139/b09-013
container_title Botany
container_volume 87
container_issue 4
container_start_page 401
op_container_end_page 408
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