Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model

We investigated the effects of thinning intensity on the carbon allocation of <i>Cunninghamia lanceolata</i> Lamb. Hook by analyzing the stand growth and carbon content of a plantation under three thinning intensities (I: 70%; II: 50%; III: 30%) and with no thinning treatment. Using the...

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Autores principales:	Hao Yang, Ziyan Liao, Angang Ming, Ning Miao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	CROBAS <i>Cunninghamia lanceolata</i> carbon allocation differential evolution process-based model thinning intensity Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/54cb5d8df02c442da2e6b53dd7b65947
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spelling	oai:doaj.org-article:54cb5d8df02c442da2e6b53dd7b659472021-11-25T17:39:14ZExploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model10.3390/f121115901999-4907https://doaj.org/article/54cb5d8df02c442da2e6b53dd7b659472021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1590https://doaj.org/toc/1999-4907We investigated the effects of thinning intensity on the carbon allocation of <i>Cunninghamia lanceolata</i> Lamb. Hook by analyzing the stand growth and carbon content of a plantation under three thinning intensities (I: 70%; II: 50%; III: 30%) and with no thinning treatment. Using the carbon balance framework of the CROwn BASe (CROBAS) model and multi-source inventory data, we calibrated the parameters of the CROBAS-<i>C. lanceolata</i> (CROBAS-CL) model to simulate the carbon content in the plantation. We validated the CROBAS-CL model by comparing the predicted stand diameter at breast height (DBH) and stand height (H) with the measured values. Finally, the predicted stand carbon was compared with the soil carbon to assess the dynamics and allocation of ecosystem carbon content. Overall, our findings suggest that the predicted stand carbon of CROBAS-CL satisfies the statistical test requirements: the deviation of height and DBH predicted by the CROBAS-CL model from the measured height and DBH are less than 0.087 m and 0.165 cm, respectively. These results confirm that the model is useful for a dynamic prediction of stand carbon in <i>C. lanceolata</i> plantations. Based on the results of the proposed model, we determine that Thinning III (30% thinning intensity) is beneficial for the growth of <i>C. lanceolata</i> plantations and improving soil carbon sequestration. Additionally, the simulated carbon storage of an individual tree in the <i>C. lanceolata</i> plantation gradually increased with the tree age. Our study provides a strong reference for the efficient operation and management of <i>C. lanceolata</i> plantations in southwestern China.Hao YangZiyan LiaoAngang MingNing MiaoMDPI AGarticleCROBAS<i>Cunninghamia lanceolata</i>carbon allocationdifferential evolutionprocess-based modelthinning intensityPlant ecologyQK900-989ENForests, Vol 12, Iss 1590, p 1590 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CROBAS <i>Cunninghamia lanceolata</i> carbon allocation differential evolution process-based model thinning intensity Plant ecology QK900-989
spellingShingle	CROBAS <i>Cunninghamia lanceolata</i> carbon allocation differential evolution process-based model thinning intensity Plant ecology QK900-989 Hao Yang Ziyan Liao Angang Ming Ning Miao Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
description	We investigated the effects of thinning intensity on the carbon allocation of <i>Cunninghamia lanceolata</i> Lamb. Hook by analyzing the stand growth and carbon content of a plantation under three thinning intensities (I: 70%; II: 50%; III: 30%) and with no thinning treatment. Using the carbon balance framework of the CROwn BASe (CROBAS) model and multi-source inventory data, we calibrated the parameters of the CROBAS-<i>C. lanceolata</i> (CROBAS-CL) model to simulate the carbon content in the plantation. We validated the CROBAS-CL model by comparing the predicted stand diameter at breast height (DBH) and stand height (H) with the measured values. Finally, the predicted stand carbon was compared with the soil carbon to assess the dynamics and allocation of ecosystem carbon content. Overall, our findings suggest that the predicted stand carbon of CROBAS-CL satisfies the statistical test requirements: the deviation of height and DBH predicted by the CROBAS-CL model from the measured height and DBH are less than 0.087 m and 0.165 cm, respectively. These results confirm that the model is useful for a dynamic prediction of stand carbon in <i>C. lanceolata</i> plantations. Based on the results of the proposed model, we determine that Thinning III (30% thinning intensity) is beneficial for the growth of <i>C. lanceolata</i> plantations and improving soil carbon sequestration. Additionally, the simulated carbon storage of an individual tree in the <i>C. lanceolata</i> plantation gradually increased with the tree age. Our study provides a strong reference for the efficient operation and management of <i>C. lanceolata</i> plantations in southwestern China.
format	article
author	Hao Yang Ziyan Liao Angang Ming Ning Miao
author_facet	Hao Yang Ziyan Liao Angang Ming Ning Miao
author_sort	Hao Yang
title	Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
title_short	Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
title_full	Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
title_fullStr	Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
title_full_unstemmed	Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model
title_sort	exploring the effects of thinning on <i>cunninghamia lanceolata</i> lamb. carbon allocation in southwestern china using a process-based model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/54cb5d8df02c442da2e6b53dd7b65947
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Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model

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