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首页> 外文期刊>Agroforestry Systems >Assessment of soil organic carbon stocks and fractions under different agroforestry systems in subtropical hill agroecosystems of north-east India
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Assessment of soil organic carbon stocks and fractions under different agroforestry systems in subtropical hill agroecosystems of north-east India

机译:印度东北亚热带丘陵农业生态系统中不同农林业系统下土壤有机碳储量和组分的评估

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Soil total organic carbon (TOC) is not sensitive enough to measure the short and medium term changes due to land use change practices, and thus meaningful fractions of soil organic carbon (SOC) should be measured. The objective of this study was to evaluate four agroforestry systems (AFSs) in order to test the hypothesis that agroforestry systems promote an increase in the soil organic carbon stocks and fractions, thus improving soil quality. For this, four 26 years old agroforestry systems consisting of multipurpose tree species (MPTs) (Michelia oblonga Wall, Parkia roxburghii G. Don, Alnus nepalensis D. Don, and Pinus kesiya Royle ex- Gordon) maintained at ICAR Research Complex, Umiam, Meghalaya, India were tested and compared with control plot for SOC stocks, microbial biomass carbon (MBC), readily oxidizable carbon (ROC), non-labile carbon (CNL), particulate organic carbon (POC), and carbon management index (CMI). The soil samples were collected at five depths: 0–15, 15–30, 30–45, 45–60, and 60–75 cm. The TOC, POC, ROC, CNL and MBC in soils of agroforestry land use, on average, increased significantly by 26.3, 60.1, 27.1, 46.4 and 34 %, respectively in relative to control plot. However, the AFS consisting A. nepalensis recorded the highest mean SOC stocks (60.2 Mg ha−1), TOC (3.60 g 100 g−1), POC (5.42 g kg−1), ROC (10.16 g kg−1) and MBC (548 mg kg−1) than other AFSs. Furthermore, the CMI was highest under A. nepalensis (129.6) followed by M. oblonga (119.4), whereas P. kesiya showed the lowest value (91.1). The SOC stocks and fractions were, on average, 35.3 and 70 %, respectively higher in upper soil layer (0–15 cm) compared to subsurface soil layers (15–75 cm) in all the AFSs. The strong and positive correlation (P < 0.05) between labile soil carbon fractions with TOC (r = 0.680** for POC; r = 0.683** for ROC and r = 0.758** for MBC) indicates that the changes in TOC content of soils is mainly influenced by the labile C pools and are the sensitive indicators of soil quality improvements. The AFSs, A. nepalensis in particular, can, therefore, be recommended as an alternative soil management strategy for food production, and for the maintenance of soil quality and agricultural sustainability through increased SOC sequestration in the highly fragile agro-ecosystems of northeast India.
机译:土壤总有机碳(TOC)不够灵敏,无法测量由于土地利用变化而造成的短期和中期变化,因此,应该测量土壤有机碳(SOC)的有意义的比例。这项研究的目的是评估四种农林业系统(AFS),以检验农林业系统促进土壤有机碳储量和级分增加从而改善土壤质量的假设。为此,在Umiam的ICAR研究中心维护了四个具有26年历史的,由多用途树种(MPT)组成的农林业系统(Michelia oblonga Wall,Parkia roxburghii G. Don,Alnus nepalensis D. Don和Pinus kesiya Royle ex-Gordon),测试了印度梅加拉亚邦(Meghalaya)的SOC库存,微生物生物量碳(MBC),易氧化碳(ROC),非不稳定碳(CNL),颗粒有机碳(POC)和碳管理指数(CMI),并与对照图进行了比较。 。收集了五个深度的土壤样品:0-15、15-30、30-45、45-60和60-75 cm。与对照样地相比,农林业土地利用土壤中的TOC,POC,ROC,CNL和MBC平均分别显着增加了26.3%,60.1%,27.1%,46.4%和34%。但是,由A.nepalensis组成的AFS记录了最高的平均SOC储量(60.2 Mg ha-1),TOC(3.60 g 100 g-1),POC(5.42 g kg-1),ROC(10.16 g kg-1)和MBC(548 mg kg-1)比其他AFS多。此外,在尼泊尔黑麦草(A. nepalensis)下(129.6),其次是CMI最高,其次是长圆形支原体(11.94),而印度桃木(P. kesiya)的CMI最低(91.1)。在所有AFS中,上层土壤层(0-15 cm)的SOC储量和级分平均分别比地下土壤层(15-75 cm)高35.3和70%。不稳定土壤碳组分与TOC之间的强正相关(P <0.05)(POC r = 0.680 **; ROC r = 0.683 **和MBC r = 0.758 **)表明,TOC含量的变化土壤主要受不稳定的碳库影响,是土壤质量改善的敏感指标。因此,在印度东北部高度脆弱的农业生态系统中,通过增加SOC的固存,可以推荐AFS,特别是尼泊尔A. A.作为土壤生产的替代土壤管理策略,以保持土壤质量和农业可持续性。

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