A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations.
A systematic evaluation of nonlinear mixed-effect taper models for volume prediction was performed. Of 21 taper equations with fewer than 5 parameters each, the best 4-parameter fixed-effect model according to fitting statistics was then modified by comparing its values for the parameters total heig...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4596836?pdf=render |
| _version_ | 1818214526475042816 |
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| author | Mei Guangyi Sun Yujun Xu Hao Sergio de-Miguel |
| author_facet | Mei Guangyi Sun Yujun Xu Hao Sergio de-Miguel |
| author_sort | Mei Guangyi |
| collection | DOAJ |
| description | A systematic evaluation of nonlinear mixed-effect taper models for volume prediction was performed. Of 21 taper equations with fewer than 5 parameters each, the best 4-parameter fixed-effect model according to fitting statistics was then modified by comparing its values for the parameters total height (H), diameter at breast height (DBH), and aboveground height (h) to modeling data. Seven alternative prediction strategies were compared using the best new equation in the absence of calibration data, which is often unavailable in forestry practice. The results of this study suggest that because calibration may sometimes be a realistic option, though it is rarely used in practical applications, one of the best strategies for improving the accuracy of volume prediction is the strategy with 7 calculated total heights of 3, 6 and 9 trees in the largest, smallest and medium-size categories, respectively. We cannot use the average trees or dominant trees for calculating the random parameter for further predictions. The method described here will allow the user to make the best choices of taper type and the best random-effect calculated strategy for each practical application and situation at tree level. |
| first_indexed | 2024-12-12T06:21:35Z |
| format | Article |
| id | doaj.art-0a352a6001a84d089d08751c267140c1 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T06:21:35Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-0a352a6001a84d089d08751c267140c12022-12-22T00:34:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e014009510.1371/journal.pone.0140095A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations.Mei GuangyiSun YujunXu HaoSergio de-MiguelA systematic evaluation of nonlinear mixed-effect taper models for volume prediction was performed. Of 21 taper equations with fewer than 5 parameters each, the best 4-parameter fixed-effect model according to fitting statistics was then modified by comparing its values for the parameters total height (H), diameter at breast height (DBH), and aboveground height (h) to modeling data. Seven alternative prediction strategies were compared using the best new equation in the absence of calibration data, which is often unavailable in forestry practice. The results of this study suggest that because calibration may sometimes be a realistic option, though it is rarely used in practical applications, one of the best strategies for improving the accuracy of volume prediction is the strategy with 7 calculated total heights of 3, 6 and 9 trees in the largest, smallest and medium-size categories, respectively. We cannot use the average trees or dominant trees for calculating the random parameter for further predictions. The method described here will allow the user to make the best choices of taper type and the best random-effect calculated strategy for each practical application and situation at tree level.http://europepmc.org/articles/PMC4596836?pdf=render |
| spellingShingle | Mei Guangyi Sun Yujun Xu Hao Sergio de-Miguel A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. PLoS ONE |
| title | A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. |
| title_full | A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. |
| title_fullStr | A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. |
| title_full_unstemmed | A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. |
| title_short | A Mixed-Effects Model with Different Strategies for Modeling Volume in Cunninghamia lanceolata Plantations. |
| title_sort | mixed effects model with different strategies for modeling volume in cunninghamia lanceolata plantations |
| url | http://europepmc.org/articles/PMC4596836?pdf=render |
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