广东省阳江市国有花滩林场四种典型人工林土壤碳储量特征
The Characteristic of Soil Carbon Storage of Four Typical Plantations in Huatan National Forestry Farm in Yangjiang City, Guangdong Province, China
DOI: 10.12677/WJF.2023.124026, PDF,    科研立项经费支持
作者: 黎燕莲, 陈远富, 梁 顿：广东省阳江市国有花滩林场，广东 阳春；莫其锋*, 刘 悦, 吴妙兰, 顾晓娟：华南农业大学林学与风景园林学院，广东 广州
关键词: 碳储量；碳稳定性；易氧化有机碳；人工林；粤西； Carbon Storage； Carbon Stability； Readily Oxidizable Organic Carbon； Plantation； Western Guangdong
摘要: 人工林在森林碳汇中发挥着巨大的作用和潜力。为比较和评估不同树种人工林对土壤碳储量及其稳定性的影响，本文以广东省阳江市国有花滩林场四种典型人工林为研究对象，采集1米深度土层的土壤测定其总有机碳(TOC)和易氧化有机碳(ROC)含量及其储量，并通过土壤易氧化有机碳占总有机碳的比例评估四种林分的土壤碳稳定性。结果发现，四种林分土壤TOC储量表现为加勒比松 > 马占相思 > 尾叶桉 > 灰木莲，土壤ROC储量表现为灰木莲 > 加勒比松 > 马占相思 > 尾叶桉，土壤ROC/TOC比值则表现为灰木莲 > 加勒比松 > 马占相思 > 尾叶桉，这表明四种林分中，尾叶桉人工林土壤碳稳定性最高，灰木莲土壤碳稳定性最低。本研究结果可为评估粤西地区不同树种人工林土壤固碳潜力及其稳定性提供科学数据参考。
Abstract: Plantation plays a great role and potential in forest carbon (C) sink. In order to compare and evaluate the effects of different tree species on soil C storage and its stability, this paper took four typical plantations in the Huatan National Forestry Farm in Yangjiang City, Guangdong Province as research objects, and collected soil at a depth of 1 m to determine the total organic C (TOC) and easily oxidized organic C (ROC) contents and storage, to evaluate the soil C stability of the four stands by the ratios of ROC to TOC. The results showed that the TOC storage of the four stands were Pinus caribaea > Acacia mangium > Eucalyptus urophylla > Magnolia sumatrana, the soil ROC storage were Magnolia sumatrana > Pinus caribaea > Acacia mangium > Eucalyptus urophylla, and the ROC/TOC ratios were Magnolia sumatrana > Pinus caribaea > Acacia mangium > Eucalyptus urophylla. This indicated that the soil C stability of the four stands was the highest in Eucalyptus urophylla plantation and the lowest in Magnolia sumatrana plantation. The results of this study can provide scientific data reference for evaluating soil C sequestration and its stability in different plantations in western Guangdong.
文章引用：黎燕莲, 莫其锋, 刘悦, 陈远富, 吴妙兰, 顾晓娟, 梁顿. 广东省阳江市国有花滩林场四种典型人工林土壤碳储量特征[J]. 林业世界, 2023, 12(4): 203-209. https://doi.org/10.12677/WJF.2023.124026

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