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应用生态学报 ›› 2023, Vol. 34 ›› Issue (8): 2073-2081.doi: 10.13287/j.1001-9332.202308.010

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砾石对马尾松人工林土壤有机碳密度评估的影响

简尊吉1, 雷蕾1,2,3, 倪妍妍1,4, 朱建华1,2,3, 曾立雄1,2,3*, 肖文发1,2,3   

  1. 1中国林业科学研究院森林生态环境与自然保护研究所/国家林业和草原局森林生态环境重点实验室, 北京 100091;
    2南京林业大学南方现代林业协同创新中心, 南京 210037;
    3林草碳汇研究院, 北京 100091;
    4中国科学院武汉植物园, 武汉 430074
  • 收稿日期:2023-03-21 接受日期:2023-05-31 出版日期:2023-08-15 发布日期:2024-02-15
  • 通讯作者: *E-mail: zlxcaf@163.com
  • 作者简介:简尊吉, 男, 1991年生, 博士。主要从事人工林地力与生产力提升、森林碳汇计量与评估等研究。E-mail: jianzunji2014@163.com
  • 基金资助:
    “十三五”国家重点研发计划项目(2016YFD0600201)

Effects of gravel on the evaluation of soil organic carbon density in Pinus massoniana plantations

JIAN Zunji1, LEI Lei1,2,3, NI Yanyan1,4, ZHU Jianhua1,2,3, ZENG Lixiong1,2,3*, XIAO Wenfa1,2,3   

  1. 1Ecology and Nature Conservation Institute, Chinese Academy of Forestry/Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Beijing 100091, China;
    2Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;
    3Academy of Forestry and Grassland Carbon Sink, Beijing 100091, China;
    4Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
  • Received:2023-03-21 Accepted:2023-05-31 Online:2023-08-15 Published:2024-02-15

摘要: 砾石(>2 mm)是估算土壤碳库的主要参数之一。为评估砾石对马尾松人工林土壤容重和有机碳密度的影响,本研究基于不同方法(剔除砾石前后)估算马尾松人工林分布区131个样地0~10、10~20和20~40 cm土层土壤容重和有机碳密度,并检验不同方法间的差异。结果表明: 剔除砾石后各土层容重分别为0.58~1.57、0.60~1.67和0.59~1.75 g·cm-3,显著低于剔除砾石前容重,砾石总体上将容重提高了6.5%~6.8%;剔除砾石前各土层土壤有机碳密度分别为8.93~65.97、7.63~59.08和8.79~94.53 t·hm-2,高于剔除砾石后估算的土壤有机碳密度,忽视砾石总体上使土壤有机碳密度被高估4.9%~11.8%;随砾石含量增加,不同方法间土壤容重和有机碳密度的相对偏差增加,当砾石含量高于20%时,0~40 cm土层估算的土壤有机碳密度在忽视砾石与剔除砾石间差异显著,前者比后者高29.7%~47.4%。综上,砾石显著影响土壤容重和有机碳密度,推荐用剔除砾石容重且考虑砾石作为修正因子的方法来估算土壤有机碳密度(尤其是砾石含量高于20%时),以避免土壤碳库被高估。

关键词: 砾石, 容重, 有机碳密度, 相对偏差, 人工林

Abstract: Gravel (>2 mm) is one of the main parameters for estimating soil carbon pool. To assess the effects of gravel on soil bulk density (BD) and organic carbon density (SOCD) in Pinus massoniana plantations, we estimated the BD and SOCD at the 0-10, 10-20 and 20-40 cm soil depths of 131 plots under two different conditions, with and without removing gravel. The BD of each soil layer after removing gravel was 0.58-1.57, 0.60-1.67, and 0.59-1.75 g·cm-3, respectively, which was significantly lower than that before removing gravel. Gravel increased the BD by 6.5%-6.8%. The SOCD of each soil layer before removing gravel was 8.93-65.97, 7.63-59.08, and 8.79-94.53 t·hm-2, respectively, which was higher than that after removing gravel. Overall, by neglecting the effect of gravel, SOCD was overestimated by 4.9%-11.8%. As gravel content increased, the relative deviation in the estimated BD and SOCD among different methods increased. When the gravel content was higher than 20%, the estimated SOCD at soil layer of 0-40 cm showed a significant difference between neglecting gravel and removing gravel, with the former being 29.7%-47.4% higher than the latter. In conclusion, gravel markedly affected the estimations of BD and SOCD. It was recommended that SOCD should be estimated by the method that not only uses the BD after removing gravel but also considers gravel as a correction factor (especially when gravel content is above 20.0%) to avoid overestimation of soil carbon pool.

Key words: gravel, bulk density, organic carbon density, relative deviation, plantation.