Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions
Abstract Trees accumulate biomass by sequestrating atmospheric carbon and allocate it to different tree components. A biomass component ratio is the ratio of biomass in a tree component to total tree biomass. Modeling the ratios for Zelkova serrata, an important native reforestation tree species in...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-87129-7 |
| _version_ | 1818842746040877056 |
|---|---|
| author | Chieh-Yin Chen Shu-Hui Ko Tzeng Yih Lam |
| author_facet | Chieh-Yin Chen Shu-Hui Ko Tzeng Yih Lam |
| author_sort | Chieh-Yin Chen |
| collection | DOAJ |
| description | Abstract Trees accumulate biomass by sequestrating atmospheric carbon and allocate it to different tree components. A biomass component ratio is the ratio of biomass in a tree component to total tree biomass. Modeling the ratios for Zelkova serrata, an important native reforestation tree species in Taiwan, helps in understanding its biomass allocation strategy to design effective silvicultural treatments. In this study, we applied Component Ratio Method (CRM) to relate biomass component ratios of main stem, large branch, twig, and foliage to tree attributes of Z. serrata from a 9-year-old plantation. Nonlinear and linear CRM models were fitted with Seemingly Unrelated Regression to account for model correlations. Linear CRM models with dbh as the predictor had the best fit with model correlations as high as 80%. About 46% and 40% of total tree biomass was allocated to main stem and large branch, respectively. However, main stem biomass decreased by 1.9% with every 1-cm increase in dbh, but large branch biomass increased by 2.2% instead. Results suggest that dominant Z. serrata trees tend to branch and fork, while smaller trees invest in larger main stem. An early pruning treatment should focus on dominant trees to maintain crown ratio and ensure wood quality. |
| first_indexed | 2024-12-19T04:46:52Z |
| format | Article |
| id | doaj.art-73d74ad0c19a4636973101e2ce3e1bd2 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T04:46:52Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-73d74ad0c19a4636973101e2ce3e1bd22022-12-21T20:35:27ZengNature PortfolioScientific Reports2045-23222021-04-011111910.1038/s41598-021-87129-7Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressionsChieh-Yin Chen0Shu-Hui Ko1Tzeng Yih Lam2The Experimental Forest, College of Bioresources and Agriculture, National Taiwan UniversityTaiwan Forestry Research InstituteSchool of Forestry and Resource Conservation, National Taiwan UniversityAbstract Trees accumulate biomass by sequestrating atmospheric carbon and allocate it to different tree components. A biomass component ratio is the ratio of biomass in a tree component to total tree biomass. Modeling the ratios for Zelkova serrata, an important native reforestation tree species in Taiwan, helps in understanding its biomass allocation strategy to design effective silvicultural treatments. In this study, we applied Component Ratio Method (CRM) to relate biomass component ratios of main stem, large branch, twig, and foliage to tree attributes of Z. serrata from a 9-year-old plantation. Nonlinear and linear CRM models were fitted with Seemingly Unrelated Regression to account for model correlations. Linear CRM models with dbh as the predictor had the best fit with model correlations as high as 80%. About 46% and 40% of total tree biomass was allocated to main stem and large branch, respectively. However, main stem biomass decreased by 1.9% with every 1-cm increase in dbh, but large branch biomass increased by 2.2% instead. Results suggest that dominant Z. serrata trees tend to branch and fork, while smaller trees invest in larger main stem. An early pruning treatment should focus on dominant trees to maintain crown ratio and ensure wood quality.https://doi.org/10.1038/s41598-021-87129-7 |
| spellingShingle | Chieh-Yin Chen Shu-Hui Ko Tzeng Yih Lam Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions Scientific Reports |
| title | Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions |
| title_full | Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions |
| title_fullStr | Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions |
| title_full_unstemmed | Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions |
| title_short | Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions |
| title_sort | modeling biomass allocation strategy of young planted zelkova serrata trees in taiwan with component ratio method and seemingly unrelated regressions |
| url | https://doi.org/10.1038/s41598-021-87129-7 |
| work_keys_str_mv | AT chiehyinchen modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions AT shuhuiko modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions AT tzengyihlam modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions |