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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2021-11-01
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author | Hao Yang Ziyan Liao Angang Ming Ning Miao |
author_facet | Hao Yang Ziyan Liao Angang Ming Ning Miao |
author_sort | Hao Yang |
collection | DOAJ |
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. |
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spelling | doaj.art-54cb5d8df02c442da2e6b53dd7b659472023-11-22T23:25:58ZengMDPI AGForests1999-49072021-11-011211159010.3390/f12111590Exploring the Effects of Thinning on <i>Cunninghamia lanceolata</i> Lamb. Carbon Allocation in Southwestern China Using a Process-Based ModelHao Yang0Ziyan Liao1Angang Ming2Ning Miao3Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, ChinaCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chinese Academy of Sciences, Chengdu 610041, ChinaExperimental Center of Tropical Forestry, Chinese Academy of Forestry, Pingxiang 532600, ChinaKey Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, ChinaWe 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.https://www.mdpi.com/1999-4907/12/11/1590CROBAS<i>Cunninghamia lanceolata</i>carbon allocationdifferential evolutionprocess-based modelthinning intensity |
spellingShingle | 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 Forests CROBAS <i>Cunninghamia lanceolata</i> carbon allocation differential evolution process-based model thinning intensity |
title | 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_short | 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 |
topic | CROBAS <i>Cunninghamia lanceolata</i> carbon allocation differential evolution process-based model thinning intensity |
url | https://www.mdpi.com/1999-4907/12/11/1590 |
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