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: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/54cb5d8df02c442da2e6b53dd7b65947 |
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| Sumario: | 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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