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杉木人工林生物量及其分配的动态变化

俞月凤1,2,3,宋同清1,2**,曾馥平1,2,彭晚霞1,2,温远光4,黄承标4,吴庆标4,曾昭霞1,2,于扬1,2,3   

  1. (1中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125; 2 中国科学院环江喀斯特生态系统观测研究站, 广西环江 547100; 3中国科学院大学, 北京 100049; 4广西大学林学院, 南宁 530004)
  • 出版日期:2013-07-10 发布日期:2013-07-10

Dynamic changes of biomass and its allocation in Cunninghamia lanceolata plantations of different stand ages.

YU Yue-feng1,2,3, SONG Tong-qing1,2**, ZENG Fu-ping1,2, PENG Wan-xia1,2, WEN Yuan-guang4, HUANG Cheng-biao4, WU Qing-biao4, ZENG Zhao-xia1,2, YU Yang1,2,3   

  1. (1Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; 2Huanjiang Observation and Research Station of Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, Guangxi, China; 3University of Chinese Academy of Sciences, Beijing 100049, China; 4Forestry College of Guangxi University, Nanning 530004, Guangxi, China)
  • Online:2013-07-10 Published:2013-07-10

摘要:

根据5个年龄(6、16、23、32和50年生)共15块1000 m2样地的调查资料,利用15株不同年龄和径阶的杉木样木数据,建立以胸径(D)为单变量的生物量回归方程。采用样木回归分析法(乔木层)和样方收获法(灌木层、草本层、地上凋落物)获取不同林龄杉木人工林的生物量,并分析了其组成、分配特征及不同林龄生物量的变化趋势。结果表明:林分总生物量除16~23年生因间伐略有下降外均随林龄而增加,6、16、23、32和50年生杉木人工林生物量分别为62.73、172.51、141.65、192.30、247.32 Mg·hm-2,其中活体植物占95.76%~98.39%;层次分配方面乔木层占绝对优势,为89.77%~96.55%,其随林龄的变化与总生物量一致,其次为地上凋落物,占1.61%~4.24%,灌木层和草本层生物量较小,分别占0.01%~4.26%和0.27%~4.07%,分别以6和23年生最大;乔木层器官分配以干所占比例最高,占54.89%~75.97%,根占11.91%~12.66%,均随林龄而增加,枝、叶分别占11.86%~15.19%和4.80%~13.17%,均随林龄而下降;灌木层器官分配除50年生杉木人工林枝相对生物量小于叶,23和50年生杉木人工林根相对生物量大于枝外,其大小顺序为枝>根>叶;草本层分配以6和23年生杉木人工林地上相对生物量最大,其他林龄相反;杉木人工林乔木层各器官、各层次及总生物量具有良好的优化增长模型,其32年生人工林总生物量与其他森林类型相比,处于中上等,是一个光合效率高、固碳潜力大的速生丰产优良造林树种。
 

关键词: 代谢指数, 分支指数, 相关生长关系, 沙柳丛生枝

Abstract:

Based on the investigation data from a total of 15 plots (20 m×50 m) in Cunninghamia lanceolata plantations of different stand ages (6, 16, 23, 32, and 50 years old) in Guangxi of South China, and by using the data of 15 sample trees of different ages and diameter at breast height (DBH), the biomass regression equation with DBH as the single variable was established. The biomass in the tree layer and in the shrub, herb, and litter layers of the plantations was calculated by regression analysis and quadrat harvest method, respectively, and the change trends of the biomass and its allocation in the plantations of different stand ages were analyzed. Except that the stands of 16 and 23 years old had a slight decrease in biomass due to intermediated thinning, the total biomass of the other stands increased with stand age. The biomass of the stands of 6, 16, 23, 32, and 50 years old was 62.73, 172.51, 141.65, 192.30, and 247.32 Mg·hm-2, respectively, of which, living biomass made up 95.76%-98.39%. Tree layer predominated in biomass, occupying 89.77%-96.55% of the total biomass, and the change trend of tree layer biomass with stand age was as the same as that of the total biomass. The biomass of litter layer was the second, occupying 1.61%-4.24%; while the biomass of shrub and herb layers was the least, accounting for 0.01%-4.26% and 0.27%-4.07%, respectively. The biomass in shrub layer was the largest in 6 years old stand, while that in herb layer was the largest in 23 years old stand. In tree layer, trunk had the greatest proportion of biomass, accounting for 54.89%-75.97%, followed by root, accounting for 11.91%-12.66%. The biomass of both trunk and root was increased with stand age. The proportion of branch and leaf biomass was 11.86-15.19%, and 4.80%-13.17%, respectively, and decreased with stand age. In shrub layer, the biomass allocation was in the order of branch > root > leaf, except for leaf > branch in 50 years old stand, and root > branch in 23 and 50 years old stands. In herb layer, as compared with underground part, aboveground part had greater biomass in 6 and 23 years old stands, but was the opposite in other age stands. The biomass of tree organs and in different layers as well as the whole biomass could be well fitted by growth models. As compared with other plantations, 32 years old C. lanceolata plantation had a mediumhigh level total biomass, suggesting that C. lanceolata would be a fast-growing and high-yielding forestation tree species with high photosynthetic efficiency and high carbon sequestration potential.
 

Key words: metabolic exponent, allometry relationship., Salix psammophila branch, branching exponent