Impacts of a large-scale reforestation program on carbon storage dynamics in Guangdong, China
Impacts of a large-scale reforestation program on carbon storage dynamics in Guangdong, China
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DOI：
10.1016/j.foreco.2007.09.081
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发表时间：
2008-03
影响因子：
3.7
通讯作者：
Chuanyan Zhou;Xiaohua Wei;Guoyi Zhou;Junhua Yan;Xu Wang;Chunlin Wang;Haigui Liu;Xinyi Tang;Qianmei Zhang
中科院分区：
文献类型：
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作者：
Chuanyan Zhou;Xiaohua Wei;Guoyi Zhou;Junhua Yan;Xu Wang;Chunlin Wang;Haigui Liu;Xinyi Tang;Qianmei Zhang
上世纪80年代初，广东省中国实施了一项为期10年的大规模植树造林计划，以应对经济快速发展导致的环境退化。量化这一森林恢复方案对碳储存的贡献，将为制定未来省级森林恢复和管理战略提供重要信息和指导。利用广东省森林资源调查数据库，结合野外采样数据，估算了1994-2003年10年间主要恢复林类型以及OBPA(阔叶林、竹林、生产林和环境乔木)的碳储量动态。在计算碳储量时考虑了森林的不同层次：主要森林类型和竹林的乔木层、林下植被和凋落物层；生产林的乔木层和凋落物层；以及疏林和周围树木只有乔木层。结果表明，在10年的时间里，退耕还林工程使总碳储量增加了41.67Tg，森林碳密度增加了1.58mgCha−1，乔木层的碳储量最大。凋落物和林下层的碳储量约占总碳储量的38%~44%，说明在估算亚热带森林区域森林植被碳储量时，凋落物和林下层的碳储量不容忽视。结果表明，针叶林对总碳的贡献最大，其次是阔叶林、OBPA和针阔混交林。在所有主要森林类型中，马尾松林分的碳贮量最大(59.65~65.87Tg)，而合欢林的碳贮量最大(从59.65 Tg到65.87Tg)。福斯伯格林分最低(0.05~0.37Tg)。在10年期间，成熟林、成熟林和后成熟林的碳贮量呈增加趋势，而幼龄林和中龄林的碳贮量分别下降和相对稳定。我们的分析还表明，阔叶林(0.19-1.36Mgha−1年期−1)的碳积累速率是广东主要森林类型中最高的，这对未来森林恢复树种的选择具有重要意义。
In the early 1980s, the province of Guangdong, China implemented a 10-year, large-scale reforestation program to counter environment degradation as a result of rapid economic development. Quantification of the contribution of this forest restoration program to carbon storage will provide critical information and guidance for designing future forest restoration and management strategies at the provincial level. The Guangdong Provincial Forest Inventory Database, together with our field sampling data was used to estimate carbon storage dynamics over the 10-year period of 1994–2003 for key restoration forest types as well as OBPA (open forest, bamboo forest, production forest and ambient trees). Various layers of forests were considered in calculating carbon storage: tree layers, understory vegetation and litterfall layers for the key forest types and bamboo forests; tree layers and litterfall layers for production forests; and only tree layers for open forest and ambient trees. Our results show that over the 10-year period, the reforestation program has increased total carbon storage by 41.67Tg and forest carbon density by 1.58MgCha−1. Carbon storage in tree layers was the greatest among all layers studied. Carbon storage in litterfall and understory layers amounted to approximately 38%–44% of the total carbon storage, demonstrating that litterfall and understory layers can not be neglected in estimating regional forest vegetation carbon storage in the sub-tropical forests. It was determined that coniferous forests provided the greatest contribution to total carbon, followed by broadleaved forests, OBPA, and mixed coniferous and broadleaved forests in decreasing order of magnitude. Among all key forest types, stands of P. massoniana had the greatest amount of carbon storage (from 59.65 to 65.87Tg) while Albizia falcataria (Linn.) Fosberg forest stands had the lowest (from 0.05 to 0.37Tg). Over the 10-year period, carbon storage pools in maturescent forests, mature forests and post-mature forests were on the increasing trend, while those in young forests and middle-aged forests were declining and relatively stable, respectively. Our analysis also shows that the carbon accumulation rate in broadleaved forests (0.19–1.36Mgha−1year−1) was the highest among the key forest types in Guangdong, which has important implications for selection of future forest restoration species.