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:
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.
Factor Analysis of Particulate Organic Carbon Changes in Soil Aggregates with Vegetation Restoration in Degraded Red Soil Regions
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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