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覆盖作物轮作改善砂姜黑土生物孔隙结构的多尺度研究OA

Cover Crop Rotations Enhance Biopore Structure in Shajiang Black Soil:A Multi-scale Investigation

中文摘要英文摘要

为全面揭示土壤生物孔隙分布特征,本研究采用高分辨率X 射线CT技术,从三个尺度(直径10 cm、高20 cm的大土柱,直径5 cm、高5 cm的小土柱,以及3~5 mm的团聚体)探究不同轮作模式对砂姜黑土0~20 cm土层生物孔隙结构特征的影响,并对比分析不同尺度下生物孔隙结构特征差异.结果表明:与小麦-玉米轮作相比,小麦-羊角豆轮作显著提高了三个尺度下的生物孔隙度,增幅分别为 237%、243%和 119%(P<0.05);小麦-决明子轮作分别提升了 111%、217%和114%(P<0.05).大土柱尺度下生物孔隙平均直径(1 444~3 374 μm)和最大直径(4 792~8 854 μm)均显著高于其他尺度,能够完整捕获粗大生物孔隙并揭示其垂直分布特征,但无法有效识别细生物孔隙(<60 μm);小土柱尺度适用于中细生物孔隙(30~60 μm)识别,常用于评估土壤的水气传输特性;团聚体尺度则能检测极细生物孔隙(6~30 μm),且其生物孔隙比例较高(21.6%~34.4%).综上,覆盖作物轮作在三个尺度下均能够有效改善砂姜黑土生物孔隙结构,建议未来研究中联用多尺度CT观测手段,以更全面揭示生物孔隙的空间分布与演变规律.

[Objective]Biopores constitute a critical component of the soil pore network,exhibiting significantly greater efficiency in facilitating the transport of water,solutes,and gases compared to nonbiopores.However,quantitative analysis of biopores at a single scale exhibits significant limitations in resolving morphological characteristics,elucidating developmental dynamics,and evaluating functional attributes.[Method]To comprehensively characterize soil biopores distribution patterns,this study integrated a 5-year rotational field experiment on lime concretion black soil with high-resolution X-ray computed tomography(CT)scanning.The investigation was conducted at three distinct scales:(1)large column scale(10 cm diameter×20 cm height soil columns),(2)small column scale(5 cm diameter×5 cm height soil cores),and(3)aggregate-scale(3-5 mm aggregates).We systematically examined the effects of different cropping systems-conventional wheat-maize rotation(WM)versus cover crop rotations(wheat-Cassia occidentalis:WY,and wheat-Cassia tora Linn.:WJ)-on biopore characteristics within the 0-20 cm soil layer.Furthermore,we critically evaluated the applicability of each scale for biopore network analysis.[Results]This study developed an improved biopores segmentation protocol comprising three key steps:(1)initial classification of pores into connected and isolated networks,(2)application of 3D distance transform watershed algorithms to separate biopores and nonbiopores,and(3)implementation of a Random Forest classifier leveraging morphological feature parameters(blobness,sphericity,compactness,and plateness)for scale-specific biopores segmentation across all three observational scales.Compared to the WM treatment,the WY treatment significantly increased bioporosity by 237%,243%,and 119%at the large column,small column,and aggregate scales(P<0.05),respectively.Similarly,the WJ treatment resulted in an increase of bioporosity by 111%,217%,and 114%at the large column,small column,and aggregate scales(P<0.05),respectively.At the large column scale,biopores exhibited significantly larger diameters than those at small column and aggregate scales,with mean diameters ranging from 1 444-3 374 μm and maximum diameters reaching from 4 792-8 854 μm(P<0.05).This scale effectively captured the biopores network architecture and directly revealed vertical continuity patterns throughout the 0-20 cm plow layer.However,large column scale analysis showed limited detection capability for fine biopores(<60 μm in diameter),reflecting inherent resolution constraints of the methodology.The small column effectively identified medium-to-fine biopores(30-60 μm)and primarily correlates with soil physical properties governing hydraulic conductivity and gas transport.Microscale aggregate analysis can resolve ultra-fine biopores(60-30 μm in diameter),with quantitative characterization revealing these biopores occupy 21.6%-34.4%of total aggregate porosity.Aggregate scale analysis provides critical insights into root-soil architecture interactions and reveals fundamental mechanisms of soil organic carbon physical protection within microhabitats.[Conclusion]This study demonstrated that cover cropping significantly enhanced soil biopore networks across multiple scales.We propose that future research adopt integrated multiscale approaches to fully unravel the spatial distribution and temporal evolution of these biopore systems.

丁天宇;郭自春;花可可;张红霞;彭新华

土壤与农业可持续发展全国重点实验室(中国科学院南京土壤研究所),南京 211135||中国科学院大学,北京 100049土壤与农业可持续发展全国重点实验室(中国科学院南京土壤研究所),南京 211135安徽省农业科学院土壤肥料研究所,合肥 230031土壤与农业可持续发展全国重点实验室(中国科学院南京土壤研究所),南京 211135北方干旱半干旱耕地高效利用全国重点实验室(中国农业科学院农业资源与农业区划研究所),北京 100081

农业科技

砂姜黑土覆盖作物生物孔隙土柱团聚体X射线CT扫描

Shajiang black soilCover cropBioporeSoil columnAggregateX-ray CT scanning

《土壤学报》 2026 (3)

755-766,12

国家重点研发计划项目(2023YFD1900201)、国家自然科学基金项目(42007007)和江苏省碳达峰碳中和专项科技创新基金项目(BE2023398)共同资助 Supported by the National Key Research and Development Program of China(No.2023YFD1900201),the National Natural Science Foundation of China(No.42007007),the Science and Technology Innovation Project of Jiangsu Province for the Carbon Emissions Peaking and Carbon Neutrality(No.BE2023398)

10.11766/trxb202504260193

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