1. 江西农业大学林学院, 鄱阳湖流域森林生态系统保护与修复国家林业和草原局重点实验室,南昌,330045
2. 江西省森林培育重点实验室,南昌,330045
3. 北京林业大学生态与自然保护学院,北京,100083
[ "刘晓君(1988—),女,山东泰安人,博士,讲师,主要从事土壤侵蚀与养分流失、森林生态学研究。E-mail:lxj-2016@jxau.edu.cn" ]
纸质出版:2021
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刘晓君, 高盼, 潘俊, 等. 红壤区植被恢复团聚体POC变化归因分析[J]. 水土保持学报, 2021,35(2):217-224.
LIU Xiaojun, GAO Pan, PAN Jun, et al. Factor Analysis of Particulate Organic Carbon Changes in Soil Aggregates with Vegetation Restoration in Degraded Red Soil Regions[J]. 2021, 35(2): 217-224.
刘晓君, 高盼, 潘俊, 等. 红壤区植被恢复团聚体POC变化归因分析[J]. 水土保持学报, 2021,35(2):217-224. DOI: 10.13870/j.cnki.stbcxb.2021.02.029.
LIU Xiaojun, GAO Pan, PAN Jun, et al. Factor Analysis of Particulate Organic Carbon Changes in Soil Aggregates with Vegetation Restoration in Degraded Red Soil Regions[J]. 2021, 35(2): 217-224. DOI: 10.13870/j.cnki.stbcxb.2021.02.029.
研究植被恢复条件下土壤水稳性团聚体颗粒有机碳的分布特征及影响因素,为退化红壤区生态系统重建与土壤质量改善提供理论依据。在江西省泰和县植被恢复与重建基地,选取立地条件基本一致的马尾松纯林、湿地松纯林、木荷纯林、马尾松补植木荷、湿地松补植木荷、湿地松—木荷原始混交林6种恢复模式,于2019年通过调查取样和试验分析,探索不同植被恢复模式土壤各粒级水稳性团聚体颗粒有机碳(POCagg)、土壤物理化学性质变化特征及相互关系。结果表明:(1)退化红壤以水稳性大团聚体(>0.25 mm)为主(百分比含量为87%),木荷纯林、马尾松补植木荷林土壤大团聚体含量最低。表层(0—10 cm)土壤POCagg受恢复模式影响最显著(P<0.05),以湿地松纯林POCagg含量为最高(14.44 g/kg);(2)土壤物理化学性质因恢复模式的不同而呈显著性差异,其中湿地松补植木荷林下土壤有机质(SOM)、木荷纯林下土壤全氮(TN)、湿地松纯林下土壤全磷(TP)含量分别为最高;(3)人工针叶纯林中团聚体组成对POCagg影响最大,团聚体组成、SOM和TN是影响POCagg的重要因素(P<0.01),且土层越深关联度显著增加(P<0.01);其中微团聚体(<0.25 mm)POCagg受其直接或间接效应均较高,TN在<0.053 mm粒级团聚体POCagg的影响最大。木荷纯林能明显改善土壤结构和肥力,且湿地松对林下土壤养分尤其是POCagg固持能力较高。结合退化红壤区生态修复实践,以湿地松纯林作为先锋树种进行植被恢复,抚育过程中补植木荷可能会更好地改善土壤性质。
The aim of this study was to quantitative analyze the effect of influence factors on particulate organic carbon in soil water-stable aggregates (POCagg) with different vegetation recovery patterns in degraded red soil area. It could provide theoretical basis for ecosystem reconstruction and soil quality improvement in degraded red soil area. The vegetation restoration and reconstruction base in Taihe County
Jiangxi Province was selected to explore the POCagg variation
establish the correlation of POCagg and other physicochemical properties. The research object included six vegetation restoration patterns which were Pinus massoniana Lamb. pure forest (PM)
Pinus elliottii pure forest (PE)
Schima superba Gardn. et Champ. pure forest (SS)
Pinus massoniana replanting Schima superba (RMS)
Pinuse lliottii replanting Schima superba (RES) and virgin mixed forest of Pinus elliottii replanting Schima superba (MES). The results showed that:(1) The degraded soil was mainly of water-stable macro-aggregate (>0.25 mm
accounting for 87%). The contents of macro-aggregates in SS and RMS were the lowest. POCagg in the surface soil (0—10 cm) was most significantly affected by the recovery patterns (P<0.01)
which was the highest (14.44 g/kg) in topsoil of PE. (2) The soil physical and chemical properties showed significant differences due to the recovery patterns
among which the contents of organic matter (SOM)
total nitrogen (TN) and total phosphorus (TP) were the highest in the topsoil of RES
SS and PE
respectively. (3) The aggregate composition in artificial coniferous pure forest had the greatest influence on POCagg. The grey correlation analysis showed that aggregate composition
SOM and TN were the important factors influencing POCagg (P<0.01)
and the correlation increased significantly in deeper soil layer (P<0.01). Path analysis showed that the direct and indirect effects of each factor on POC in micro-aggregates (<0.25 mm) were significant. TN in <0.053 mm aggregates had the greatest effects on POCagg. SS could significantly improve soil structure and fertility
and PE had higher retention capacity for soil nutrients
especially POCagg. Combined with the practice of ecological restoration in degraded red soil area
it should improve soil properties better by planting PE as a pioneer and then replanting SS in the tending process.
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