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    张建亮, 崔国发, 黄祥童, 郭子良, 周海城. 国家一级保护植物长白松种群结构与动态预测[J]. 北京林业大学学报, 2014, 36(3): 26-33. DOI: 10.13332/j.cnki.jbfu.2014.03.004
    引用本文: 张建亮, 崔国发, 黄祥童, 郭子良, 周海城. 国家一级保护植物长白松种群结构与动态预测[J]. 北京林业大学学报, 2014, 36(3): 26-33. DOI: 10.13332/j.cnki.jbfu.2014.03.004
    ZHANG Jian-liang, CUI Guo-fa, HUANG Xiang-tong, GUO Zi-liang, ZHOU Hai-cheng. Population structure and dynamic prediction of Pinus sylvestrisformis listed at first-class state protected plant in Changbai Mountain National Nature Reserve, northeastern China[J]. Journal of Beijing Forestry University, 2014, 36(3): 26-33. DOI: 10.13332/j.cnki.jbfu.2014.03.004
    Citation: ZHANG Jian-liang, CUI Guo-fa, HUANG Xiang-tong, GUO Zi-liang, ZHOU Hai-cheng. Population structure and dynamic prediction of Pinus sylvestrisformis listed at first-class state protected plant in Changbai Mountain National Nature Reserve, northeastern China[J]. Journal of Beijing Forestry University, 2014, 36(3): 26-33. DOI: 10.13332/j.cnki.jbfu.2014.03.004

    国家一级保护植物长白松种群结构与动态预测

    Population structure and dynamic prediction of Pinus sylvestrisformis listed at first-class state protected plant in Changbai Mountain National Nature Reserve, northeastern China

    • 摘要: 为了明确天然长白松种群的生存状况, 采用典型抽样法对吉林长白山国家级自然保护区的天然长白松种群 进行调查, 分析种群数及年龄结构,并运用时间序列模型预测未来种群数量动态。结果表明:自然保护区中长白松 种群个体数估计为36 293,分布在蒙古栎林、臭冷杉-长白松林、白桦林、白桦-臭冷杉林、红松-长白松林和长白落 叶松-鱼鳞云杉林等6 种植物群落类型中。白桦林群落中的长白松种群个体分异程度明显,年龄结构表现为I、 II、III、IV 和V 龄级个体同时存在, I 龄级个体最多(占64.29%),V 龄级以上个体相对缺乏的组成格局。白桦-臭 冷杉林群落中有少量的I、II 龄级个体,其他4 种植物群落类型中长白松种群均表现出V龄级以上的个体占优势, I、II、III龄级个体缺乏的结构特征;白桦林群落中长白松种群经历30 年或60 年后,II、III 龄级个体有恢复的潜 力,90 年以及150 年后,长白松IV龄级以上个体表现出增加势态,种群稳定发展。其他植物群落类型中长白松种群 随时间推移,呈现出V龄级以上大龄级个体增多,IV龄级以内小龄级个体补充不足的衰退趋势;对长白松种群的保 护,应根据自然保护区中6 种不同植物群落特点及长白松种群结构特征,通过相应措施创造适合各年龄阶段长白 松个体生长发育的环境条件,维持种群的稳定和增长。

       

      Abstract: Pinus sylvestrisform is population was investigated by the typical sampling survey method in Changbai Mountain National Nature Reserve to reveal the living conditions of natural P. sylvestrisformis, which was listed at first class national protected plant, and population size and age structure was analyzed. Meanwhile, the population dynamics in the future was predicted by using time sequence model. Results showed that there were 36 293 individuals estimated in the nature reserve, distributing in the following 6 plant communities: Quercus mongolica, Abies nephrolepis-P. sylvestrisformis, Betula platyphylla, B. platyphylla-A. nephrolepis, P. koraiensis-P. Sylvestrisformis and Larix olgensis-Picea jezoensis. The differential degree among P. sylvestrisformis individuals was obvious in the B. Platyphylla community. As to age structure, individuals of age classI, II, III, IV and V existed together. Most of individuals were at age class I, accounting for 64.29% of total, but the ones above V relatively lacked in the B. Platyphylla community. There were a small amount of individuals of age class I and II lived in B. latyphylla-A. nephrolepis community. In the rest of the 4 plant communities, individuals above age class Vwere dominant, while those of class I, II and III were insufficient. After 30 or 60 years, the P. sylvestrisformis individuals of age classII, III in the B. platyphylla community would gain the potential recovery capability. Future more, 90 or 150 years later, those above class IV would increase, and the population would keep stable. For other 5 plant communities, the P. Sylvestrisformis population would present the decline trend, showing increase of individuals of age class V and above, while the decrease of class IV and below. To well protect P. Sylvestrisformis population and maintain its stability and growth, specific conservation measurements should be put into effect by creating environments suitable for individuals of every age class, considering to the characteristics not only 6 plant communities but also the P. Sylvestrisformis population construction.

       

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