Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest
Tree improvement programs can improve forest management by increasing timber yields in some areas, thereby facilitating conservation of other forest lands. In this study, we used a meta-analytic approach to quantify yields of alternative white (<i>Picea glauca</i> (Moench) Voss) and hybr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Forests |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4907/11/6/609 |
| _version_ | 1797566815089459200 |
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| author | Suborna Ahmed Valerie LeMay Alvin Yanchuk Andrew Robinson Peter Marshall Gary Bull |
| author_facet | Suborna Ahmed Valerie LeMay Alvin Yanchuk Andrew Robinson Peter Marshall Gary Bull |
| author_sort | Suborna Ahmed |
| collection | DOAJ |
| description | Tree improvement programs can improve forest management by increasing timber yields in some areas, thereby facilitating conservation of other forest lands. In this study, we used a meta-analytic approach to quantify yields of alternative white (<i>Picea glauca</i> (Moench) Voss) and hybrid spruce (<i>Picea engelmannii</i> Parry ex Engelmann x <i>Picea glauca</i> (Moench) Voss) stocks across planting sites in the boreal and hemiboreal forests of Canada. We extracted meta-data from published tree improvement program results for five Canadian provinces covering 38 planting sites and 330 white and hybrid spruce provenances. Using these meta-data and a random-coefficients nonlinear mixed-effects modelling approach, we modelled average height over time trajectories for varying planting site characteristics, as well as climate transfer distances between planting sites and provenances. Climatic transfer distances had strong effects on the height trajectory parameters. In particular, the asymptote parameter had a nonlinear increasing trend with planting site versus provenance mean annual temperature differences. We incorporated the height trajectory meta-analysis model into an existing growth and yield model to predict volume yields. Overall, this research provides a mechanism to quantify yields of alternative provenances at a particular planting site, as a component of decision support models for evaluating evaluate forest management investment into improved planting stocks alternatives under current and possible future climates. |
| first_indexed | 2024-03-10T19:32:42Z |
| format | Article |
| id | doaj.art-71923587827647399823f0a670ef3fd5 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-10T19:32:42Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-71923587827647399823f0a670ef3fd52023-11-20T02:00:12ZengMDPI AGForests1999-49072020-05-0111660910.3390/f11060609Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal ForestSuborna Ahmed0Valerie LeMay1Alvin Yanchuk2Andrew Robinson3Peter Marshall4Gary Bull5Department of Forest Resources Management, University of British Columbia, Rm 2045, 2424 Main Mall, Vancouver, BC V6T 1Z4, CanadaDepartment of Forest Resources Management, University of British Columbia, Rm 2045, 2424 Main Mall, Vancouver, BC V6T 1Z4, CanadaBritish Columbia Ministry of Forests, Lands and Natural Resources Operations, PO Box 9518, STN Prov Govt, Victoria, BC V8W9C2, CanadaCEBRA, School of BioSciences, School of Mathematics & Statistics, University of Melbourne, Melbourne VIC 3010, AustraliaDepartment of Forest Resources Management, University of British Columbia, Rm 2045, 2424 Main Mall, Vancouver, BC V6T 1Z4, CanadaDepartment of Forest Resources Management, University of British Columbia, Rm 2045, 2424 Main Mall, Vancouver, BC V6T 1Z4, CanadaTree improvement programs can improve forest management by increasing timber yields in some areas, thereby facilitating conservation of other forest lands. In this study, we used a meta-analytic approach to quantify yields of alternative white (<i>Picea glauca</i> (Moench) Voss) and hybrid spruce (<i>Picea engelmannii</i> Parry ex Engelmann x <i>Picea glauca</i> (Moench) Voss) stocks across planting sites in the boreal and hemiboreal forests of Canada. We extracted meta-data from published tree improvement program results for five Canadian provinces covering 38 planting sites and 330 white and hybrid spruce provenances. Using these meta-data and a random-coefficients nonlinear mixed-effects modelling approach, we modelled average height over time trajectories for varying planting site characteristics, as well as climate transfer distances between planting sites and provenances. Climatic transfer distances had strong effects on the height trajectory parameters. In particular, the asymptote parameter had a nonlinear increasing trend with planting site versus provenance mean annual temperature differences. We incorporated the height trajectory meta-analysis model into an existing growth and yield model to predict volume yields. Overall, this research provides a mechanism to quantify yields of alternative provenances at a particular planting site, as a component of decision support models for evaluating evaluate forest management investment into improved planting stocks alternatives under current and possible future climates.https://www.mdpi.com/1999-4907/11/6/609tree improvementgrowth and yieldclimatic transfer distancesmeta-modelrandom-coefficients modelling |
| spellingShingle | Suborna Ahmed Valerie LeMay Alvin Yanchuk Andrew Robinson Peter Marshall Gary Bull Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest Forests tree improvement growth and yield climatic transfer distances meta-model random-coefficients modelling |
| title | Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest |
| title_full | Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest |
| title_fullStr | Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest |
| title_full_unstemmed | Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest |
| title_short | Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest |
| title_sort | meta modelling to quantify yields of white spruce and hybrid spruce provenances in the canadian boreal forest |
| topic | tree improvement growth and yield climatic transfer distances meta-model random-coefficients modelling |
| url | https://www.mdpi.com/1999-4907/11/6/609 |
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