天津农学院学报 ›› 2021, Vol. 28 ›› Issue (1): 6-11.doi: 10.19640/j.cnki.jtau.2021.01.002

• 研究与简报 • 上一篇    下一篇

栓皮栎伐桩萌苗生物量积累动态及其影响因素的研究

吴桐, 郭会云, 郑依腾, 马闯通信作者, 吉凯, 高贺毅   

  1. 天津农学院 园艺园林学院,天津 300392
  • 收稿日期:2020-08-13 出版日期:2021-03-31 发布日期:2021-04-02
  • 通讯作者: 马闯(1984—),男,讲师,博士,主要从事近自然林经营。E-mail:machuangtjau@126.com。
  • 作者简介:吴桐(1999—),女,本科在读,主要从事森林培育研究。E-mail:aying1999@foxmail.com。
  • 基金资助:
    国家青年科学基金项目(31600499);国家大学生创新创业训练计划资助项目(201910061112);河北省重点研发计划项目(20326810D)

Study on biomass accumulation dynamics of stump sprouting of Quercus variabilis and its influence factors

Wu Tong, Guo Huiyun, Zheng Yiteng, Ma ChuangCorresponding Author, Ji Kai, Gao Heyi   

  1. College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2020-08-13 Online:2021-03-31 Published:2021-04-02

摘要: 伐桩萌苗的生物量是反映次生林地更新水平的重要标志,探明影响其积累的主要因素对森林经营和保护具有重要意义。以天津北部山区栓皮栎林为对象,研究其采伐后近5年的伐桩萌苗生长规律,构建生物量积累的异速生长方程,分析气候变化对其生长的影响。结果发现:该地区栓皮栎采伐后5年萌苗直径(1.61±0.44)cm,长度(143.02±9.81)cm,累计茎干干物质量为(75.49±10.51)g/株,前3年生物量积累较慢,随后快速增加;构建异速生长方程表明,直径与茎干重两组变量符合y=ax2+bx+c模型,而长度与茎干重符合y=ax2+c模式,均达到显著性;Pearson相关分析表明,伐桩萌苗生长与降雨呈正相关,而与温度呈负相关,表明高温少雨是限制该地区栓皮栎伐桩萌苗生物量积累的因素。在今后的次生林经营中,要注意采用水肥管理、人工促萌、复壮等技术,促进次生林更新。

关键词: 栓皮栎, 伐桩萌苗, 异速生长方程, Pearson相关分析

Abstract: The biomass of stump sprouting is a key indicator to reflect the regeneration of secondary forest. It is significant to find out the main factors affecting biomass accumulation for forest management and protection. Quercus variabilis forest in the northern mountainous area of Tianjin was selected as the research object. The growth dynamic of stump sprouting was studied in recent 5 years after cutting with fitting the allometric growth equation of biomass accumulation, and the influence of climate on the growth was analyzed. The results showed that the diameter and length of sprouting seedlings five years after cutting were (1.61±0.44)cm and(143.02±9.81)cm, respectively. The total stem dry matter weight was(75.49±10.51)g / plant. The biomass accumulated slowly in the first three years, and then increased speedly. The allometric growth equation showed that diameter and stem dry weight were in accordance with the model as y=ax2+bx+c, while length and stem dry weight were in accordance with y=ax2+c model, both of which were significant. Pearson correlation analysis showed that the growth of stump sprouting seedlings was positively correlated with rainfall, whereas negatively correlated with temperature, indicating that high temperature and less rainfall were the factors limiting the biomass accumulation of Q. variabilis stump sprout in this area. In the future, the management of water and fertilizer should be strengthened, and the technology of artificial sprouting and rejuvenation should be adopted to promote the regeneration of secondary forest.

Key words: Quercus variabilis, stump sprout, allometric growth equation, Pearson correlation analysis

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