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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chieh-Yin Chen, Shu-Hui Ko, Tzeng Yih Lam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/73d74ad0c19a4636973101e2ce3e1bd2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:73d74ad0c19a4636973101e2ce3e1bd2
record_format	dspace
spelling	oai:doaj.org-article:73d74ad0c19a4636973101e2ce3e1bd22021-12-02T14:37:46ZModeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions10.1038/s41598-021-87129-72045-2322https://doaj.org/article/73d74ad0c19a4636973101e2ce3e1bd22021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87129-7https://doaj.org/toc/2045-2322Abstract 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.Chieh-Yin ChenShu-Hui KoTzeng Yih LamNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
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
title	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_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_sort	modeling biomass allocation strategy of young planted zelkova serrata trees in taiwan with component ratio method and seemingly unrelated regressions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/73d74ad0c19a4636973101e2ce3e1bd2
work_keys_str_mv	AT chiehyinchen modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions AT shuhuiko modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions AT tzengyihlam modelingbiomassallocationstrategyofyoungplantedzelkovaserratatreesintaiwanwithcomponentratiomethodandseeminglyunrelatedregressions
_version_	1718390957806714880

Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions

Ejemplares similares