Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations
Self-thinning due to density-dependent mortality usually occurs during the forest development. To improve predictions of such processes during forest successions under climate change, reliable stand-level models are needed. In this study, we developed an integrated system of tree- and stand-level mo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Italian Society of Silviculture and Forest Ecology (SISEF)
2022-02-01
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| Series: | iForest - Biogeosciences and Forestry |
| Subjects: | |
| Online Access: | https://iforest.sisef.org/contents/?id=ifor3792-014 |
| _version_ | 1818940401760862208 |
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| author | Zhang X Cao QV Qu Y Zhang J |
| author_facet | Zhang X Cao QV Qu Y Zhang J |
| author_sort | Zhang X |
| collection | DOAJ |
| description | Self-thinning due to density-dependent mortality usually occurs during the forest development. To improve predictions of such processes during forest successions under climate change, reliable stand-level models are needed. In this study, we developed an integrated system of tree- and stand-level models by deriving tree diameter and survival models from stand growth and survival models based on climate-sensitive self-thinning rule of Chinese fir plantations in subtropical China. The resulting integrated system, having a unified mathematical structure, should provide consistent estimates at both tree and stand levels. Predictions were reasonable at both stand and tree levels. Because stand-level values aggregated from the tree model outputs are different from those predicted directly from the stand models, the disaggregation approach was applied to provide numerical consistency between models of different resolutions. Compared to the unadjusted approach, predictions from the disaggregation approach were slightly worse for tree survival but slightly better for tree diameter. Because the stand models were developed under the climate-sensitive self-thinning trajectory, the integrated system could offer reasonable predictions that could aid in managing Chinese fir plantations under climate change. |
| first_indexed | 2024-12-20T06:39:04Z |
| format | Article |
| id | doaj.art-749ada43f5d24d2aa7aa6843bcd2b8e1 |
| institution | Directory Open Access Journal |
| issn | 1971-7458 |
| language | English |
| last_indexed | 2024-12-20T06:39:04Z |
| publishDate | 2022-02-01 |
| publisher | Italian Society of Silviculture and Forest Ecology (SISEF) |
| record_format | Article |
| series | iForest - Biogeosciences and Forestry |
| spelling | doaj.art-749ada43f5d24d2aa7aa6843bcd2b8e12022-12-21T19:49:54ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74582022-02-011511710.3832/ifor3792-0143792Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantationsZhang X0Cao QV1Qu Y2Zhang J3Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091 - P. R. ChinaSchool of Renewable Natural Resources, Louisiana State University - USAKey Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091 - P. R. ChinaKey Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091 - P. R. ChinaSelf-thinning due to density-dependent mortality usually occurs during the forest development. To improve predictions of such processes during forest successions under climate change, reliable stand-level models are needed. In this study, we developed an integrated system of tree- and stand-level models by deriving tree diameter and survival models from stand growth and survival models based on climate-sensitive self-thinning rule of Chinese fir plantations in subtropical China. The resulting integrated system, having a unified mathematical structure, should provide consistent estimates at both tree and stand levels. Predictions were reasonable at both stand and tree levels. Because stand-level values aggregated from the tree model outputs are different from those predicted directly from the stand models, the disaggregation approach was applied to provide numerical consistency between models of different resolutions. Compared to the unadjusted approach, predictions from the disaggregation approach were slightly worse for tree survival but slightly better for tree diameter. Because the stand models were developed under the climate-sensitive self-thinning trajectory, the integrated system could offer reasonable predictions that could aid in managing Chinese fir plantations under climate change.https://iforest.sisef.org/contents/?id=ifor3792-014Chinese FirSelf-thinning RuleDisaggregationStand ModelTree Model |
| spellingShingle | Zhang X Cao QV Qu Y Zhang J Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations iForest - Biogeosciences and Forestry Chinese Fir Self-thinning Rule Disaggregation Stand Model Tree Model |
| title | Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations |
| title_full | Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations |
| title_fullStr | Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations |
| title_full_unstemmed | Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations |
| title_short | Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations |
| title_sort | deriving tree growth models from stand models based on the self thinning rule of chinese fir plantations |
| topic | Chinese Fir Self-thinning Rule Disaggregation Stand Model Tree Model |
| url | https://iforest.sisef.org/contents/?id=ifor3792-014 |
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