Evaluation of growth functions used in the Swedish Forest Planning System Heureka
The performance of growth models implemented in the Swedish Forest Planning System Heureka was evaluated. Four basal area growth models were evaluated by comparing their predictions to data from five-year growth records for 1711 permanent sample plots of the National Forest Inventory (NFI-data). Als...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Finnish Society of Forest Science
2014-01-01
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| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/1013 |
| _version_ | 1818808092701229056 |
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| author | Fahlvik, Nils Elfving, Björn Wikström, Peder |
| author_facet | Fahlvik, Nils Elfving, Björn Wikström, Peder |
| author_sort | Fahlvik, Nils |
| collection | DOAJ |
| description | The performance of growth models implemented in the Swedish Forest Planning System Heureka was evaluated. Four basal area growth models were evaluated by comparing their predictions to data from five-year growth records for 1711 permanent sample plots of the National Forest Inventory (NFI-data). Also, two alternative implementations of Heureka, including a combined stand- and tree-level basal area growth model and a single tree-level model, respectively, were evaluated using data from 57 blocks in a thinning experiment (GG-data) involving Scots pine ( L.) and Norway spruce ( (L.) Karst) in which the trees were monitored for 30 years after the first thinning. The predicted volume growth was also compared to observed values. Growth models based on data from 1970âs and 1980âs overestimated growth in the NFI test plots from the early 2000âs by about 3%. Stand-level models had larger precision than tree-level models. Basal area growth was underestimated in dense NFI-plots and overestimated in non-thinned GG-plots, illustrating an un-solved modelling problem. Basal area growth was overestimated by 2â5% also in the GG-plots over the whole observation period. Volume growth was however accurately predicted for pine and underestimated by 2% for spruce. The relative prediction error did not increase with increasing length of prediction period. Thinning response models calibrated with GG-data worked well in the total application and produced growth levels for different thinning alternatives in line with observations.Pinus sylvestrisPicea abies |
| first_indexed | 2024-12-18T19:36:04Z |
| format | Article |
| id | doaj.art-b7f80f1144ad4ad7802262d00c7d23a3 |
| institution | Directory Open Access Journal |
| issn | 2242-4075 |
| language | English |
| last_indexed | 2024-12-18T19:36:04Z |
| publishDate | 2014-01-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj.art-b7f80f1144ad4ad7802262d00c7d23a32022-12-21T20:55:36ZengFinnish Society of Forest ScienceSilva Fennica2242-40752014-01-0148210.14214/sf.1013Evaluation of growth functions used in the Swedish Forest Planning System HeurekaFahlvik, NilsElfving, BjörnWikström, PederThe performance of growth models implemented in the Swedish Forest Planning System Heureka was evaluated. Four basal area growth models were evaluated by comparing their predictions to data from five-year growth records for 1711 permanent sample plots of the National Forest Inventory (NFI-data). Also, two alternative implementations of Heureka, including a combined stand- and tree-level basal area growth model and a single tree-level model, respectively, were evaluated using data from 57 blocks in a thinning experiment (GG-data) involving Scots pine ( L.) and Norway spruce ( (L.) Karst) in which the trees were monitored for 30 years after the first thinning. The predicted volume growth was also compared to observed values. Growth models based on data from 1970âs and 1980âs overestimated growth in the NFI test plots from the early 2000âs by about 3%. Stand-level models had larger precision than tree-level models. Basal area growth was underestimated in dense NFI-plots and overestimated in non-thinned GG-plots, illustrating an un-solved modelling problem. Basal area growth was overestimated by 2â5% also in the GG-plots over the whole observation period. Volume growth was however accurately predicted for pine and underestimated by 2% for spruce. The relative prediction error did not increase with increasing length of prediction period. Thinning response models calibrated with GG-data worked well in the total application and produced growth levels for different thinning alternatives in line with observations.Pinus sylvestrisPicea abieshttps://www.silvafennica.fi/article/1013 |
| spellingShingle | Fahlvik, Nils Elfving, Björn Wikström, Peder Evaluation of growth functions used in the Swedish Forest Planning System Heureka Silva Fennica |
| title | Evaluation of growth functions used in the Swedish Forest Planning System Heureka |
| title_full | Evaluation of growth functions used in the Swedish Forest Planning System Heureka |
| title_fullStr | Evaluation of growth functions used in the Swedish Forest Planning System Heureka |
| title_full_unstemmed | Evaluation of growth functions used in the Swedish Forest Planning System Heureka |
| title_short | Evaluation of growth functions used in the Swedish Forest Planning System Heureka |
| title_sort | evaluation of growth functions used in the swedish forest planning system heureka |
| url | https://www.silvafennica.fi/article/1013 |
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