在生物量调查的基础上,对太行山东坡4、8、12年生和16年生杏树林生态系统碳储量及其分配特征进行了研究。结果表明:杏树各器官碳含量在447.3488.1 g /kg;树干碳含量随林龄的增长而显著降低(P<0.05),不同林龄间树根、树枝和树叶碳含量无显著差异;土壤层(0100 cm)碳含量随林龄的增长而增大;随土层深度的增加而降低。林龄对杏树林乔木层、土壤层和生态系统碳储量均有显著影响。4、8、12年生和16年生杏树林生态系统碳储量分别为27.810、72.647、82.450 Mg /hm~2和102.336 Mg /hm~2;土壤层碳储量占总碳储量的90.1%99.6%,且主要集中于040 cm。乔木层碳储量分配随着林龄的增长而增加,土壤碳储量分配则减小。结果揭示了土壤层是杏树林生态系统的主要碳库;杏树人工林生态系统在生长过程中能显著地积累有机碳。研究结果可为经济林经营管理及碳汇功能评价提供参考。
英文摘要:
Carbon storage and its allocation of 4-,8-,12-,and 16-year-old Armeniaca vulgaris plantation ecosystems on the eastern slope of Taihang Mountain were studied based on a biomass survey. The results showed that the carbon contents in different organs of apricots ranged from to 447.3 to 488.1 g /kg. The carbon content of stems decreased significantly with stand age,whereas no significant differences in carbon content were observed among the roots,branches,and leaves of the apricot plantations with different ages. The carbon content in the soil layer (0100 cm) increased significantly with increasing stand age,but decreased with increasing soil depth (P<0.05). The carbon storage in the arbor layer,soil layer, and whole ecosystem of the apricot plantations was obviously age dependent. The values of total carbon storage in the 4-,8-, 12-,and 16-year-old apricot plantation ecosystems were 27.810,72.647,82.450 Mg /hm~2 and 102.336 Mg /hm~2, respectively. The carbon storage in the soil layer accounted for > 90.1%of the carbon storage in the apricot plantation ecosystem,which was accumulated at higher levels in the 040 cm soil layer. The carbon storage and distribution patterns in the apricot plantations varied obviously with the stand age. In addition,carbon storage allocation increased in the arbor layer but decreased in the soil layer with increasing stand age. Our results suggested that the soil layer was the major carbon pool,and also impliedthat the plantation ecosystems at these stand ages could accumulate organic carbon continuously. Quantifying carbon storage and distribution patterns of apricot plantationscould help design sustainable forest management strategies for achieving its potential in mitigating climate change.