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4种长苞铁杉群落木质残体生物量及碳储量特征

Characteristics of Woody Debris Biomass and Carbon Storage of Four Types of Tsuga longibracteata Communities

  • 摘要:
    目的 揭示天宝岩国家级自然保护区内长苞铁杉群落木质残体在碳循环中的基础作用,为长苞铁杉群落保护与森林可持续经营提供依据。
    方法 以天宝岩国家级自然保护区4种长苞铁杉群落(长苞铁杉纯林、长苞铁杉 + 阔叶树混交林、长苞铁杉 + 猴头杜鹃混交林和长苞铁杉 + 毛竹混交林)为研究对象,对林内不同树种、不同存在形式(细木质残体、倒木、枯立木和树桩)开展动态调查(2012年、2014年、2016年),估算木质残体生物量和碳储量并分析其动态变化。
    结果 表明:(1)4种群落内不同树种木质残体均是长苞铁杉的生物量占比最大(31.57%~77.77%);(2)4种长苞铁杉群落同一林型不同年份相同存在形式的木质残体类型生物量差异均不显著(p>0.05),同一林型不同年份的木质残体类型均是倒木生物量最高(长苞铁杉纯林:5.82~9.48 t·hm−2;长苞铁杉 + 阔叶树混交林:10.90~17.83 t·hm−2;长苞铁杉 + 猴头杜鹃混交林:7.20~10.37 t·hm−2;长苞铁杉 + 毛竹混交林:6.11~9.77 t·hm−2);3次调查结果中长苞铁杉纯林枯立木生物量与其他3种群落枯立木生物量均差异显著(p<0.05);(3)4种长苞铁杉群落均是长苞铁杉的碳储量最多,且随着年份的增长,其碳储量总体呈现增长趋势(长苞铁杉纯林:3.64~4.62 t·hm−2;长苞铁杉 + 阔叶树混交林:4.67~4.71 t·hm−2;长苞铁杉 + 猴头杜鹃混交林:2.29~2.53 t·hm−2;长苞铁杉 + 毛竹混交林:3.10~4.79 t·hm−2);(4)4种长苞铁杉群落木质残体中均是倒木的碳储量最高,除长苞铁杉 + 毛竹混交林倒木碳储量是先减少后增加外,其他3种长苞铁杉群落倒木的碳储量均呈现上升趋势,且4种群落中,长苞铁杉 + 阔叶树混交林的倒木碳储量最高,为4.91~7.68 t·hm−2;3次调查结果中,长苞铁杉纯林枯立木碳储量与其他3种混交林枯立木碳储量均具有显著差异(p<0.05)。
    结论 p4种长苞铁杉群落中,不同形式木质残体中均是倒木的生物量和碳储量最高;不同树种木质残体均是长苞铁杉的生物量和碳储量最高。长苞铁杉纯林内枯立木生物量、碳储量与其他群落内枯立木差异显著(p<0.05)。

     

    Abstract:
    Objective This study aims to reveal the fundamental role of woody debris in the carbon cycle within the Tsuga longibracteata communities in Tianbaoyan National Nature Reserve (TNNR). The findings will provide a basis for the conservation and sustainable management of the Tsuga Longibracteata community.
    MethodsFour forest types of Tsuga longibracteata communities in TNNR were investigated, including T. longibracteata pure forest, T. longibracteata + broadleaf mixed forest, T. longibracteata + Rhododendron simiarum mixed forest and T. longibracteata + Phyllostachys edulis mixed forest. The study conducted a dynamic investigation of different tree species and forms of woody debris (fine woody debris, log, snag, and stump) in the forest from 2012 to 2016. The biomass and carbon storage of woody debris were estimated, and their dynamic changes were analyzed.
    ResultsThe results showed that: (1) Woody debris biomass accounted for the largest proportion (31.57%-77.77%) among the four population colonies and different tree species.; (2) The differences in the same form of woody debris types within the same forest type in different years were not significant in the four T. longibracteata communities (p>0.05). Log had the highest biomass in different years (T. longibracteata pure forest: 5.82-9.48 t·hm−2; T. longibracteata + broadleaf mixed forest: 10.90-17.83 t·hm−2; T. longibracteata + R. simiarum mixed forest: 7.20-10.37 t·hm−2; T. longibracteata + P. edulis mixed forest: 6.11-9.77 t·hm−2). There were significant differences in stump biomass between the T. longibracteata pure forest and the other three populations across the three surveys (p<0.05). (3) T. longibracteata communities had the largest carbon storage, which showed an overall growth trend with increasing year (T. longibracteata pure forest: 3.64-4.62 t·hm−2; T. longibracteata + broadleaf mixed forest: 4.67-4.71 t·hm−2; T. longibracteata + R. simiarum mixed forest: 2.29-2.53 t·hm−2; T. longibracteata + P. edulis mixed forest: 3.10-4.79 t·hm−2).; (4) Log had the highest carbon storage among the four types of T. longibracteata communities woody debris, except for T. longibracteata + P. edulis mixed forest. The carbon storage of log increased in the other three T. longibracteata communities. Among the four populations, the carbon storage of the T. longibracteata + broadleaf mixed forest was the highest, ranging from 4.91-7.68 t·hm−2. The carbon storage of snag significantly differed between the pure forest of T. longibracteata and the other three mixed forests (p<0.05).
    Conclusion Among the four T. longibracteata communities, log has the highest biomass and carbon storage among different forms of woody debris. Woody debris from different tree types has the highest biomass and carbon storage in T. longibracteata. The biomass and carbon storage of snag in the T. longibracteata pure forest are significantly different from those in other communities (p<0.05).

     

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