Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China
Studying the growth models of secondary forests is crucial for forest management in the context of climate change, particularly in the subtropical regions of China, where broadleaf secondary forests are both ecologically complex and abundant. This study employs an age-independent difference model, u...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24015139 |
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| author | Kailun Zou Qigang Xu Peng He Xianzhao Liu |
| author_facet | Kailun Zou Qigang Xu Peng He Xianzhao Liu |
| author_sort | Kailun Zou |
| collection | DOAJ |
| description | Studying the growth models of secondary forests is crucial for forest management in the context of climate change, particularly in the subtropical regions of China, where broadleaf secondary forests are both ecologically complex and abundant. This study employs an age-independent difference model, utilizing national continuous forest inventory data from Jiangxi and Hunan provinces to develop growth models for secondary forests. Climate variables are incorporated to simulate forest growth under different climate scenarios. The results indicate that both the growth potential and rate of secondary forests increase as secondary succession progresses. Mean Coldest Month Temperature (MCMT) and Mean Annual Precipitation (MAP) are significant climate factors, with forest volume increasing as MCMT and MAP rise, while carbon storage is primarily influenced by MCMT. In the context of climate change, the growth rate of secondary forests in the subtropical regions of China has significantly declined. Furthermore, the impact of climate change on forest volume and carbon storage exhibits spatiotemporal heterogeneity, with the degree of impact increasing from east (Jiangxi Province) to west (Hunan Province), resulting in a greater decline in growth rates in the west. This research provides scientific support for the management of secondary forests under future climate change scenarios. |
| format | Article |
| id | doaj-art-c68c612e501b4da9a4dccd5743e8c9d0 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-c68c612e501b4da9a4dccd5743e8c9d02025-01-31T05:10:42ZengElsevierEcological Indicators1470-160X2025-01-01170113056Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in ChinaKailun Zou0Qigang Xu1Peng He2Xianzhao Liu3State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forest Management and Growth Modelling, National State Forestry and Grassland Administration, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, PR ChinaEast China Academy of Inventory and Planning of NFGA, Hangzhou 311500, PR ChinaCentral South Academy of Inventory and Planning of NFGA, Hunan 410018, PR ChinaState Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forest Management and Growth Modelling, National State Forestry and Grassland Administration, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, PR China; Corresponding author.Studying the growth models of secondary forests is crucial for forest management in the context of climate change, particularly in the subtropical regions of China, where broadleaf secondary forests are both ecologically complex and abundant. This study employs an age-independent difference model, utilizing national continuous forest inventory data from Jiangxi and Hunan provinces to develop growth models for secondary forests. Climate variables are incorporated to simulate forest growth under different climate scenarios. The results indicate that both the growth potential and rate of secondary forests increase as secondary succession progresses. Mean Coldest Month Temperature (MCMT) and Mean Annual Precipitation (MAP) are significant climate factors, with forest volume increasing as MCMT and MAP rise, while carbon storage is primarily influenced by MCMT. In the context of climate change, the growth rate of secondary forests in the subtropical regions of China has significantly declined. Furthermore, the impact of climate change on forest volume and carbon storage exhibits spatiotemporal heterogeneity, with the degree of impact increasing from east (Jiangxi Province) to west (Hunan Province), resulting in a greater decline in growth rates in the west. This research provides scientific support for the management of secondary forests under future climate change scenarios.http://www.sciencedirect.com/science/article/pii/S1470160X24015139Broadleaf secondary forestForest successionClimate changeAge-independent difference model |
| spellingShingle | Kailun Zou Qigang Xu Peng He Xianzhao Liu Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China Ecological Indicators Broadleaf secondary forest Forest succession Climate change Age-independent difference model |
| title | Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China |
| title_full | Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China |
| title_fullStr | Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China |
| title_full_unstemmed | Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China |
| title_short | Climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in China |
| title_sort | climate sensitive growth model for volume and carbon storage of subtropical broadleaf secondary forests in china |
| topic | Broadleaf secondary forest Forest succession Climate change Age-independent difference model |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X24015139 |
| work_keys_str_mv | AT kailunzou climatesensitivegrowthmodelforvolumeandcarbonstorageofsubtropicalbroadleafsecondaryforestsinchina AT qigangxu climatesensitivegrowthmodelforvolumeandcarbonstorageofsubtropicalbroadleafsecondaryforestsinchina AT penghe climatesensitivegrowthmodelforvolumeandcarbonstorageofsubtropicalbroadleafsecondaryforestsinchina AT xianzhaoliu climatesensitivegrowthmodelforvolumeandcarbonstorageofsubtropicalbroadleafsecondaryforestsinchina |