红壤侵蚀地植被恢复后土壤水分特征及其凋落物碳归还模式

朱丽琴; 黄荣珍; 李凤; 赵薇; 翟翠红; 欧阳慧

doi:10.13961/j.cnki.stbctb.2015.05.066

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红壤侵蚀地植被恢复后土壤水分特征及其凋落物碳归还模式

试验研究

- 红壤侵蚀地植被恢复后土壤水分特征及其凋落物碳归还模式
- Soil Moisture Characteristics and Litter Carbon Return Patterns After Vegetation Restoration in Eroded Area of Red Soil
- 水土保持通报 2015年35卷第5期页码：1-6
- 作者机构：
  
  1. 南昌工程学院江西省水文水资源与水环境重点实验室,江西,南昌,330099
  2. 南昌市水务局,江西,南昌,330004
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目"生态恢复对红壤严重侵蚀地土壤水库重建的影响与机制"(31160179);江西省自然科学基金项目(20151BAB204033);江西省和南昌工程学院研究生创新专项基金项目"红壤侵蚀地不同植被恢复模式土壤水库库容对土壤有机碳的响应"。
- DOI：10.13961/j.cnki.stbctb.2015.05.066
  中图分类号：
- 纸质出版：2015
- 稿件说明：
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朱丽琴, 黄荣珍, 李凤, 等. 红壤侵蚀地植被恢复后土壤水分特征及其凋落物碳归还模式[J]. 水土保持通报, 2015,35(5):1-6.

ZHU Liqin, HUANG Rongzhen, LI Feng, et al. Soil Moisture Characteristics and Litter Carbon Return Patterns After Vegetation Restoration in Eroded Area of Red Soil[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 1-6.
朱丽琴, 黄荣珍, 李凤, 等. 红壤侵蚀地植被恢复后土壤水分特征及其凋落物碳归还模式[J]. 水土保持通报, 2015,35(5):1-6. DOI： 10.13961/j.cnki.stbctb.2015.05.066.

ZHU Liqin, HUANG Rongzhen, LI Feng, et al. Soil Moisture Characteristics and Litter Carbon Return Patterns After Vegetation Restoration in Eroded Area of Red Soil[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 1-6. DOI： 10.13961/j.cnki.stbctb.2015.05.066.

摘要

[目的

]

研究退化恢复地土壤水分物理性质和凋落物碳归还的关系

理解不同植被恢复措施的理水调水功能。[方法

]

采用野外调查与室内分析相结合的方法

研究了南方红壤侵蚀地典型植被恢复模式(柑橘林、封育林、木荷×马尾松林混交林、阔叶林)土壤(0-80 cm土层)水分特征及其凋落物碳归还。[结果

]

(1)不同植被恢复模式土壤含水量随土壤水吸力的增大而减小

其剖面平均含水量在15与2.5 kPa水吸力条件下相比

下降幅度的大小依次为:柑橘林(45.92%) >封育林(45.10%) >木荷×马尾松林混交林(38.79%) >阔叶林(31.20%);(2)土壤含水量随土层深度的增加而降低

各植被恢复模式在不同水吸力条件下底层(60-80 cm)土壤含水量与表层(0-10 cm)的相比

柑橘林的变化幅度为30.11%~9.72%

封育林为31.81%~24.46%

木荷×马尾松林混交林为24.46%~5.49%

阔叶林为8.21%~0.24%;在不同土层或不同水吸力条件下

阔叶林土壤含水量下降的幅度均最小;(3)不同模式凋落物碳归还总量大小依次为:木荷×马尾松林混交林(1915.79 kg/hm

) >阔叶林(1414.84 kg/hm

) >封育林(1212.32 kg/hm

) >柑橘林(633.88 kg/hm

)

阔叶林阔叶碳归还量和饱和含水量均大于木荷×马尾松林混交林

阔叶碳归还量和饱和含水量表现出更大的一致性。[结论

]

阔叶林土壤保水持水性能最佳

且阔叶碳归还对土壤饱和含水量的影响大于其他组分。

Abstract

[Objective] Studying the relationship between soil hydro-physical properties and litter carbon return in restored degraded land is beneficial to understanding the hydrological functions associated with different restoration measures.[Methods] Soil moisture characteristics in different soil layers(0-80 cm) and litter carbon were examined in four typical vegetation types in eroded area of red soil

i.e. Citrus reticulata Banco forest

enclosed forest

Schima superba-Pinus massoniana mixed forest and broad-leaved forest

based on field investigations and laboratory tests.[Results] (1) The soil water content decreased with the increases of soil water suction. The average soil water content with a treatment of 1500 kPa water suction

compared with the treatment of 2.5 kPa water treatment

was reduced more in Citrus reticulata Banco forest[(45.92%) than in other vegetation types(enclosed forest(45.10%)

Schima superba-Pinus massoniana mixed forest(38.79%)

broad-leaved forest(31.20%)].(2) The soil water content decreased with the increases in soil depth. Among different water suction treatments

soil water content in the bottom soil layer(60-80 cm) varied between 30.11% to 9.72% in Citrus reticulata Banco forest

31.81% to 24.46% in enclosed forest

24.46% to 5.49% in Schima superba-Pinus massoniana mixed forest and 8.21% to 0.24% in broad-leaved forest. The reductions in soil water content in broad-leaved forest were smallest among four vegetation types.(3) The total litter carbon significantly varied among four vegetation types

i.e. Schima superba-Pinus massoniana mixed forest(1915.79 kg/hm2) >broad-leaved forest(1414.84 kg/hm2) >forbidden forest(1212.32 kg/hm2) >Citrus reticulata Banco forest(633.88 kg/hm2). The carbon return of broad leaf and saturated water content in broad-leaved forest were larger than those in Schima superba-Pinus massoniana mixed forest

showing greater consistency.[Conclusion] Soil water-preserving and holding capacity in broad-leaved forest is the best. The carbon return of broad leaf had greater impacts on soil water content than other factors.

关键词

Keywords

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