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Variability in soil characteristics in the field–bund transition area increases water loss potential in paddy fields 田埂过渡区土壤特性的变化增加了稻田失水的可能性
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-25 DOI: 10.1016/j.still.2024.106339
Xinni Ju , Dongli She , Hongde Wang , Xiaoqin Sun , Xuan Huang , Lei Gao , Yongqiu Xia
Water loss in paddy fields occurs through various pathways, and previous studies have primarily focused on water seepage in the field, often overlooking the potential for the field-bund area. In this study, 3 typical paddy fields in the plain river network area of southeastern China were selected to clarify the differences in the soil structure and hydraulic characteristics at different positions within the field–bund area: the field, inner bund, middle bund and outer bund. The interactions between basic soil properties and hydraulic characteristics were also evaluated. The results revealed that the outer bund presented the lowest soil porosity (6.92 %), followed by the field (7.52 %), middle bund (7.77 %), and inner bund (8.09 %). The soil pores in the field presented the smallest mean diameter and fractal dimension and the highest degree of anisotropy. The deep layer of the bund contained more macropores, and the soil pores exhibited greater spatial distribution heterogeneity. The bottom layer in the field and bund presented the lowest average Ks value of only 0.05 mm min−1, indicating the presence of a plow pan and a notable tendency for lateral seepage. Differences in the soil structure and hydraulic parameters between the field and bund created a driving force for lateral seepage and rendered the field–bund area a hotspot for water loss. For the analysis of the underlying water loss mechanism, the structural equation model represented 65 % of the total variance in the hydraulic parameters. The micropore characteristics had the greatest positive direct effect on the hydraulic parameters, with a standardized path coefficient of 0.39 (p < 0.001). The soil physical properties were not directly related to the hydraulic parameters but exerted an indirect effect through aggregate stability and micropore and macropore characteristics, with a total indirect standardized path coefficient of −0.41.
稻田失水的途径多种多样,以往的研究主要集中于田间渗水,往往忽视了田埂区的失水潜力。本研究选取了中国东南平原河网地区的 3 块典型水田,以阐明田埂区内不同位置(田块、内埂、中埂和外埂)土壤结构和水力特征的差异。此外,还评估了土壤基本特性与水力特征之间的相互作用。结果显示,外滩的土壤孔隙率最低(6.92%),其次是田地(7.52%)、中滩(7.77%)和内滩(8.09%)。田间土壤孔隙的平均直径和分形维度最小,各向异性程度最高。外滩深层含有较多的大孔隙,土壤孔隙的空间分布异质性较大。田地和外滩的底层平均 Ks 值最低,仅为 0.05 毫米/分钟-1,表明存在犁盘,横向渗流趋势明显。田地和外滩之间土壤结构和水力参数的差异为横向渗流提供了动力,并使田地-外滩区域成为失水热点。在分析基本失水机制时,结构方程模型占水力参数总变异的 65%。微孔特征对水力参数的直接正向影响最大,标准化路径系数为 0.39(p < 0.001)。土壤物理特性与水力参数没有直接关系,但通过集料稳定性、微孔和大孔特性产生了间接影响,间接标准化路径系数为-0.41。
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引用次数: 0
Temporal variations of N and P losses via surface runoff from Chinese farmland after fertilisation 中国农田施肥后氮和磷通过地表径流流失的时间变化
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-24 DOI: 10.1016/j.still.2024.106338
Luoqi Zhao , Denggao Fu , Ting Li , Xinqi Yuan , Sichen Wang , Change Liu , Changqun Duan
The loss of nitrogen (N) and phosphorus (P) via surface runoff induced by fertilisation leads to water pollution and aggravates water scarcity. Studies estimating N and P losses from farmland have focused on the efficacy of agricultural management actions at reducing the amount of N and P lost. However, a gap remains in understanding the dynamics of N and P losses from farmland, especially differences among types of farmland, crop and fertiliser. Thus, the temporal variations of N and P losses via surface runoff from farmland induced by fertilisation were estimated using 5530 groups of paired observations collected in China. The results showed that N and P losses via surface runoff from paddy fields associated with fertilisation were greater than losses from upland fields. However, after > 90 days post-fertilisation, the effects of fertilisation on N and P loss from paddy fields were non-significant, while the effects of fertilisation on N and P losses from upland fields remained significant. Organic fertilisation decreased N losses from upland and paddy fields, but at more than 60 days post-fertilisation, N and P losses from upland fields were greater with organic than chemical or combined fertilisation. Increasing the fertilisation rate led to higher N and P losses from upland and paddy fields and extended the occurrence time of N and P loss from paddy fields. Overall, this study demonstrates the dynamic processes associated with fertilisation underlying N and P losses from farmland via surface runoff.
施肥导致氮(N)和磷(P)通过地表径流流失,造成水污染,加剧水资源短缺。对农田氮和磷损失进行估算的研究侧重于农业管理措施在减少氮和磷损失量方面的功效。然而,在了解农田氮和磷损失的动态方面仍存在差距,尤其是不同类型的农田、作物和肥料之间的差异。因此,我们利用在中国收集的 5530 组配对观测数据,估算了施肥引起的农田氮、磷通过地表径流流失的时间变化。结果表明,施肥引起的水田地表径流的氮和磷损失量大于高地的损失量。然而,施肥 90 天后,施肥对水稻田氮和磷损失的影响不显著,而施肥对高地氮和磷损失的影响仍然显著。有机肥减少了高地和水稻田的氮损失,但在施肥后 60 多天,有机肥比化肥或化肥与化肥混合施肥对高地氮和磷的损失更大。提高施肥量会导致高地和水稻田的氮和磷损失增加,并延长水稻田氮和磷损失的发生时间。总之,这项研究证明了与施肥相关的动态过程,是农田通过地表径流损失氮和磷的基础。
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引用次数: 0
Successive utilization of carbon from different biogenic sources leads to continuous enhancement of soil respiration 对不同生物源碳的连续利用导致土壤呼吸作用持续增强
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-22 DOI: 10.1016/j.still.2024.106327
Yunfei Zhao , Xia Wang , Silong Jiang , Jinhong Wu , Menghan Yuan , Yazhen Li , Jia Li , Wenhui Duan , Junwu Wang
Climate change affects soil organic carbon (SOC) by altering plant carbon inputs and microbial metabolic processes. On the Tibetan Plateau, which is rich in SOC and sensitive to climate change, investigations on the absolute SOC content affecting soil respiration (Rs) were extensive. However, the relationship between Rs and the SOC composition remains largely unclear. Employing a combination of data collection, large-scale field surveys, and analysis, with lignin phenols and amino sugars indicating plant and microbial SOC components, we observed an increase in Rs (3.747 kg C ha−1 yr−1) correlating with rising SOC stocks (0–30 cm; 8.6 kg C ha−1 yr−1). Our results showed that Rs is predominantly driven by plant-derived carbon, especially cinnamyl phenol carbon, which is significantly influenced by vegetation characteristics and soil properties. Although microbial-derived carbon has a minimal overall impact on Rs, fungal necromass carbon critically regulates Rs, underscoring the complex interactions between microbial- and plant-derived components under diverse environmental conditions. The rapid, short-term accumulation of plant-derived carbon significantly enhanced Rs and led to substantial microbial carbon accumulation. As the levels of microbial-derived carbon increase, the Rs process tends to utilize this carbon, potentially altering and reducing the SOC composition and stability, respectively, thereby leading to a continuous increase in soil respiration. These findings offer new insights into Rs and SOC dynamics within the grassland ecosystem of the Tibetan Plateau and provide a scientific basis for predicting the response of soil carbon to climate change.
气候变化通过改变植物碳输入和微生物代谢过程来影响土壤有机碳(SOC)。青藏高原的土壤有机碳含量丰富,对气候变化十分敏感,因此对影响土壤呼吸作用(Rs)的土壤有机碳绝对含量进行了大量研究。然而,Rs 与 SOC 组成之间的关系在很大程度上仍不清楚。我们采用数据收集、大规模实地调查和分析相结合的方法,用木质素酚和氨基糖表示植物和微生物的 SOC 成分,观察到 Rs 的增加(3.747 千克碳/公顷-1 年-1)与 SOC 储量的增加(0-30 厘米;8.6 千克碳/公顷-1 年-1)相关。我们的研究结果表明,Rs 主要由植物源碳驱动,尤其是肉桂基酚碳,它受到植被特征和土壤特性的显著影响。虽然微生物衍生碳对 Rs 的总体影响很小,但真菌坏死物质碳对 Rs 起着关键的调节作用,这说明在不同的环境条件下,微生物和植物衍生成分之间存在着复杂的相互作用。植物源碳的短期快速积累显著提高了 Rs,并导致微生物碳的大量积累。随着微生物衍生碳含量的增加,Rs 过程倾向于利用这些碳,可能会分别改变和降低 SOC 的组成和稳定性,从而导致土壤呼吸作用的持续增加。这些发现为研究青藏高原草地生态系统中的Rs和SOC动态提供了新的视角,并为预测土壤碳对气候变化的响应提供了科学依据。
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引用次数: 0
Effect of bio-tillage on the least limiting water range of clayey red soil 生物耕作对粘质红壤最小极限水分范围的影响
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-22 DOI: 10.1016/j.still.2024.106337
Jinqiang Wang , Rongkai Gao , Qi Long , Limin Chen , Waqar Ali , Zhengchao Tian , Jiazhou Chen
Poor soil physical properties related to the least limiting water range (LLWR) limit the productivity of clayey red soil (Ultisol) under a subtropical monsoon climate in southern China. This study evaluated the effects of bio-tillage on LLWR and identified the key factors influencing LLWR through a field experiment. The treatments included no plant, two cultivars of oilseed rape (Brassica napus L. cv. Huashuang 4 and Brassica napus L. cv. Xinan 28), one-year-old and perennial lucerne (Medicago sativa L. cv. Ladino), and one-year-old and perennial vetiver (Vetiveria zizanioides L. cv. Wild), used as cover crops prior to summer maize. Key parameters measured included plant root morphological traits, and soil bulk density, field capacity (FC), wilting point (PWP), available water content (AWC), penetration resistance (PR) and air-filled porosity (AFP) were determined. The two rape cultivars exhibited the shallowest root distribution (limited to 20 cm depth) and the lowest root surface density (RSD, ∼16.61 cm²·cm⁻³) and root volume density (RVD, ∼0.58 cm³·cm⁻³). In contrast, lucerne and vetiver demonstrated greater root development, with deeper root penetration (>60 cm), and higher RSD and RVD, with vetiver showing the highest values (RSD ∼24.01 cm²·cm⁻³, RVD ∼0.96 cm³·cm⁻³). Lucerne and vetiver treatments increased AWC and AFP but reduced PR. Soil planted with vetiver had lower FC (0.35–0.48 cm3·cm−3) and PR (1362–3297 kPa) than soil planted with lucerne, while soil planted with lucerne had a lower PWP (0.25–0.35 cm3·cm−3) than soil planted with vetiver. All crops improved LLWR at 0–20 cm depth, but vetiver increased LLWR below the depth of 20 cm due to its higher root length density (RLD) and RSD. Path analysis revealed that PR had the strongest direct negative effect on LLWR (coefficients from −1.0528 to −1.7642), while redundancy analysis showed a strong correlation between LLWR and the RSD (12.00 %) and RLD (11.33 %) of perennial vetiver, with weaker correlation to root diameter (7.00 %). Bio-tillage reduced PR through root growth, enhancing LLWR particularly at depth of 20–40 cm, with perennial vetiver showing the most significant improvement due to its deeper rooting depth and denser root distribution.
在中国南方亚热带季风气候条件下,与最小极限水分范围(LLWR)相关的不良土壤物理特性限制了粘质红壤(Ultisol)的生产力。本研究通过田间试验评估了生物耕作对 LLWR 的影响,并确定了影响 LLWR 的关键因素。处理包括不种植、两种油菜栽培品种(Brassica napus L. cv. Huashuang 4 和 Brassica napus L. cv. Xinan 28)、一年生多年生丝兰(Medicago sativa L. cv. Ladino)和一年生多年生香根草(Vetiveria zizanioides L. cv. Wild),作为夏玉米种植前的覆盖作物。测量的主要参数包括植物根系形态特征、土壤容重、田间容重(FC)、枯萎点(PWP)、可用含水量(AWC)、渗透阻力(PR)和充气孔隙度(AFP)。两个油菜品种的根系分布最浅(仅限于 20 厘米深),根系表面密度(RSD,∼16.61 cm²-cm-³)和根系体积密度(RVD,∼0.58 cm³-cm-³)最低。相比之下,苜蓿和香根草的根系发展更快,根系穿透更深(60 厘米),RSD 和 RVD 也更高,其中香根草的数值最高(RSD ∼ 24.01 cm²-cm-³,RVD ∼ 0.96 cm³-cm-³)。苜蓿和香根草处理增加了AWC和AFP,但降低了PR。种植香根草的土壤的FC(0.35-0.48 cm3-cm-3)和PR(1362-3297 kPa)低于种植苜蓿的土壤,而种植苜蓿的土壤的PWP(0.25-0.35 cm3-cm-3)低于种植香根草的土壤。所有作物都提高了 0-20 厘米深度的 LLWR,但由于香根草的根长密度(RLD)和 RSD 较高,香根草提高了 20 厘米深度以下的 LLWR。路径分析显示,PR 对 LLWR 的直接负效应最强(系数从 -1.0528 到 -1.7642 不等),而冗余分析显示,LLWR 与多年生香根草的 RSD(12.00 %)和 RLD(11.33 %)有很强的相关性,而与根直径(7.00 %)的相关性较弱。生物耕作通过根系生长降低了PR,提高了LLWR,尤其是在20-40厘米的深度,其中多年生香根草的改善最为显著,因为其扎根深度更深,根系分布更密集。
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引用次数: 0
Air injection in paddy soil reduces N2O and NH3 emissions and regulates the nitrogen cycle 在稻田土壤中注入空气可减少 N2O 和 NH3 排放并调节氮循环
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-22 DOI: 10.1016/j.still.2024.106329
Jichao Tang , Quanyi Hu , Chengfang Li , Cougui Cao , Xuelin Zhang , Ying Zhang , Wenfeng Tan , Bo Cheng , Dongliang Xiong , Tianqi Liu , Yakov Kuzyakov
Rice (Oryza sativa L.) is a staple food and a significant source of pollutant gases, such as nitrous oxide (N2O) and ammonia (NH3). While aeration irrigation can significantly increase rice yield, its impact on N2O and NH3 emissions, particularly the nitrogen (N) cycling mechanisms, remains unclear. Here, we analyzed the effects of soil air injection (SAI) on N2O and NH3 emissions, soil properties, rice N uptake and microbial N cycling, compared with soil without air injection (the control). SAI increased soil oxygen diffusion rate (SODR) by 31–107 %, raised soil pH by 0.4–0.9 units, enhanced total N uptake by rice by 8.3 %, and reduced N2O emissions by 17 % and NH3 volatilization by 16 %. The increase in SODR enhanced the N content in rice leaves, which subsequently suppressed NH3 volatilization. The reduction in N2O emissions was mainly attributed to the decline in norC gene abundance, while the increased abundances of amoB and GDH1 genes contributed to the suppression of NH3 volatilization. The abundance of norC was negatively correlated with Actinobacteria, whereas amoB and GDH1 abundances were positively correlated with Thaumarchaeota and Proteobacteria, respectively. Actinobacteria abundance initially increased and then decreased with rising SODR, while Thaumarchaeota abundance consistently increased as SODR rose. Additionally, the increase in soil pH promoted the abundance of Proteobacteria. In conclusion, SAI increased N uptake in rice leaves and influenced key N-cycling microorganisms (Actinobacteria, Thaumarchaeota, and Proteobacteria) and genes (norC, amoB and GDH1) by enhancing SODR and soil pH, thereby reducing N2O and NH3 emissions.
水稻(Oryza sativa L.)是一种主食,也是一氧化二氮(N2O)和氨气(NH3)等污染气体的重要来源。虽然通气灌溉能显著提高水稻产量,但其对 N2O 和 NH3 排放的影响,尤其是氮(N)循环机制,仍不清楚。在此,我们分析了与未注入空气的土壤(对照)相比,土壤空气注入(SAI)对 N2O 和 NH3 排放、土壤性质、水稻氮吸收和微生物氮循环的影响。土壤空气注入使土壤氧气扩散率(SODR)提高了 31-107%,土壤 pH 值提高了 0.4-0.9 个单位,水稻对氮的总吸收量提高了 8.3%,N2O 排放量减少了 17%,NH3 挥发量减少了 16%。SODR 的增加提高了水稻叶片中的氮含量,从而抑制了 NH3 的挥发。N2O 排放量的减少主要归因于 norC 基因丰度的下降,而 amoB 和 GDH1 基因丰度的增加则抑制了 NH3 的挥发。norC 的丰度与放线菌呈负相关,而 amoB 和 GDH1 的丰度则分别与潮气菌和变形菌呈正相关。放线菌的丰度最初随着 SODR 的升高而增加,然后减少,而潮气菌的丰度则随着 SODR 的升高而持续增加。此外,土壤 pH 值的增加也促进了变形菌的丰度。总之,SAI 通过提高 SODR 和土壤 pH 值,增加了水稻叶片对氮的吸收,并影响了关键的氮循环微生物(放线菌、潮气菌和变形菌)和基因(norC、amoB 和 GDH1),从而减少了 N2O 和 NH3 的排放。
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引用次数: 0
Performance of different wheat varieties and their associated microbiome under contrasting tillage and fertilization intensities: Insights from a Swiss long-term field experiment 不同小麦品种及其相关微生物群在不同耕作和施肥强度下的表现:瑞士长期田间试验的启示
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-20 DOI: 10.1016/j.still.2024.106328
Sarah Symanczik , Maike Krauss , Natacha Bodenhausen , Stéphane Declerck , Marcé Doubell , Hanna Faist , Angela Sessitsch , Friederike Trognitz , Dominika Kundel
Winter wheat is an important global cereal crop. However, conventional farming practices, characterised by intensive tillage and high fertilizer inputs, pose significant threats to the environment. In response, more conservative management practices are being applied aiming to maintain wheat production while promoting a beneficial microbiome. Here, we evaluated the suitability of three different wheat varieties for less intensive agricultural systems, focusing on reduced tillage and fertilizer intensity. The study was conducted over two consecutive years in a Swiss long-term field experiment comparing conventional versus reduced tillage and full fertilization versus half fertilization. In addition, we investigated the composition of plant-associated microbial communities using amplicon sequencing of phylogenetic marker genes, specifically targeting bacteria and fungi in rhizosphere samples and fungi in root samples. Our results revealed that in our study wheat variety most strongly predicted grain yield and quality, independent of tillage and fertilization intensity. Specifically, wheat varieties demonstrated higher yields and N uptake in plots subjected to conventional ploughing and full fertilization compared to those under reduced tillage and half fertilization. We found no significant effect of wheat variety on the composition of microbial communities. However, tillage emerged as the primary factor influencing microbial community composition in the rhizosphere, while fertilization intensity significantly impacted fungal communities in the root system. These findings underscore the complex interplay between agronomic practices, plant genetics, and microbial dynamics in agroecosystems, emphasizing the need for holistic and adaptive approaches and their further development to ensure sustainable crop production.
冬小麦是全球重要的谷物作物。然而,以密集耕作和高肥料投入为特点的传统耕作方法对环境构成了严重威胁。为此,人们正在采用更加保守的管理方法,旨在保持小麦产量的同时促进有益微生物群的发展。在这里,我们评估了三个不同小麦品种在低强度农业系统中的适用性,重点是减少耕作和化肥强度。这项研究在瑞士的一个长期田间试验中连续进行了两年,比较了传统耕作与减少耕作、全施肥与半施肥。此外,我们还利用系统发育标记基因的扩增子测序技术调查了植物相关微生物群落的组成,特别是针对根圈样本中的细菌和真菌以及根部样本中的真菌。研究结果表明,在我们的研究中,小麦品种对谷物产量和质量的预测作用最强,与耕作和施肥强度无关。具体而言,与减少耕作和半量施肥的地块相比,采用常规耕作和全量施肥的地块中小麦品种的产量和氮吸收率更高。我们发现,小麦品种对微生物群落的组成没有明显影响。然而,耕作是影响根圈微生物群落组成的主要因素,而施肥强度则对根系中的真菌群落有显著影响。这些发现强调了农业生态系统中农艺实践、植物遗传学和微生物动态之间复杂的相互作用,强调需要采取整体和适应性方法,并进一步发展这些方法,以确保作物的可持续生产。
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引用次数: 0
Integration soil contact model – A flexible pressure-sinkage method for simulating low speed vehicles with wheels and tracks 集成土壤接触模型 - 用于模拟带车轮和履带的低速车辆的灵活压力下沉方法
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-18 DOI: 10.1016/j.still.2024.106312
S. Kulju , J. Ala-Ilomäki
An integration soil contact model and a modular terramechanics simulator VieteriSim for vehicles running on wheels and tracks were developed. The presented computational method extends the soil contact model by introducing a user defined pressure-sinkage relationship according to a theoretical function or an experimental data set, a numerical integration of pressure over a contact area with a desired resolution and vector based rolling resistance coefficient calculation. The convergence of the model and the capability of the computational method are demonstrated by simulating a cut-to-length timber forwarder running on a soft terrain with and without bogie tracks.
针对在车轮和轨道上行驶的车辆,开发了一种集成土壤接触模型和模块化地形力学模拟器 VieteriSim。所提出的计算方法扩展了土壤接触模型,根据理论函数或实验数据集引入了用户定义的压力-下沉关系,以所需的分辨率对接触面积上的压力进行数值积分,并基于矢量计算滚动阻力系数。模型的收敛性和计算方法的能力通过模拟在松软地形上行驶的带转向架履带和不带转向架履带的定尺木材运输车得到了验证。
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引用次数: 0
Pearl millet yield reduction by soil erosion and its recovery potential through fertilizer application on an Arenosol in the Sahel 萨赫勒地区阿伦诺尔土壤侵蚀造成的珍珠粟减产及其施肥恢复潜力
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-16 DOI: 10.1016/j.still.2024.106324
Tomohiro Nishigaki , Kenta Ikazaki , Hitoshi Shinjo , Ueru Tanaka , Dougbedji Fatondji , Shinya Funakawa
Despite the heightened contribution of soil erosion to soil degradation in the Sahel, its impact, particularly topsoil loss, on crop productivity remains unclear. To address this issue, we investigated the effects of simulated erosion by removing topsoil on the grain yield of pearl millet in the Sahel. Three-year field experiments conducted on an Arenosol in Niger examined different levels of topsoil removal (0, 1.0, 2.5, 5.0, and 10 cm) and fertilization (unfertilized and fertilized) on the grain yield of pearl millet. Results showed that topsoil removal of 2.5 cm or more significantly reduced grain yield, with effects projected to become apparent in 5–6 years based on erosion rates previously reported. Under normal rainfall conditions in the first and third years, 2.5-cm topsoil removal under unfertilized conditions resulted in a yield reduction of 37 % cm⁻¹, surpassing the values reported in other humid to semi-arid regions of sub-Saharan Africa. Conversely, the grain yield remained unaffected following a 1-cm topsoil removal. Fertilizer application compensated for the grain yield loss in the plots of 2.5- and 5.0-cm topsoil removal but not effectively in the 10-cm removal plot. In conclusion, the loss of the thin Ap horizon markedly reduced plant-available water and nutrients in soils, leading to a decreased grain yield of pearl millet in the Sahel. Given the Ap horizon thinness and soil erosion prevalence in the Sahel, recognizing the topsoil loss in the early stages of soil erosion and implementing countermeasures are imperative to avoid a sharp decline in grain yield.
尽管土壤侵蚀加剧了萨赫勒地区的土壤退化,但其对作物产量的影响(尤其是表土流失)仍不明确。为了解决这个问题,我们研究了通过去除表土模拟水土流失对萨赫勒地区珍珠粟产量的影响。在尼日尔的阿雷诺索尔进行了为期三年的田间试验,研究了不同程度的表土去除(0、1.0、2.5、5.0 和 10 厘米)和施肥(未施肥和施肥)对珍珠粟产量的影响。结果表明,表土移除 2.5 厘米或更高会显著降低谷物产量,根据之前报告的侵蚀率,预计 5-6 年后影响就会显现。在第一年和第三年降雨正常的情况下,在未施肥的条件下,去除 2.5 厘米的表土会导致减产 37%cm-¹,超过了撒哈拉以南非洲其他潮湿至半干旱地区的报告值。相反,移除 1 厘米表土后,谷物产量仍未受到影响。在表土被移除 2.5 厘米和 5.0 厘米的地块中,施肥弥补了谷物产量的损失,但在表土被移除 10 厘米的地块中,施肥并不能有效弥补谷物产量的损失。总之,Ap 薄层的消失明显降低了土壤中植物可利用的水分和养分,导致萨赫勒地区珍珠粟的谷物产量下降。鉴于萨赫勒地区的 Ap 地层薄和土壤侵蚀普遍存在,在土壤侵蚀的早期阶段认识到表土流失并采取对策是避免谷物产量急剧下降的当务之急。
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引用次数: 0
Quantifying the shear behavior of fine-grained soil with herbaceous plant roots under freeze-thaw conditions using X-ray CT scan 利用 X 射线 CT 扫描量化带有草本植物根系的细粒土壤在冻融条件下的剪切行为
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-15 DOI: 10.1016/j.still.2024.106326
Baiyang Song , Dai Nakamura , Takayuki Kawaguchi , Shunzo Kawajiri , Dahu Rui
This study investigates the reinforcement effect of Kentucky bluegrass roots on slope soil under freeze-thaw conditions, with a focus on the Hokkaido region of Japan. Using direct shear tests combined with X-ray CT scanning, we analyzed the impact of root parameters (such as root mass and volume) on the shear strength of root-soil composites. The results revealed that freeze-thaw cycle did not cause significant root breakage or diminish the root system's ability to stabilize the soil compared to non-freeze-thaw conditions. Root-soil samples demonstrated notable ductility during shear deformation, with shear stress continuing to increase after reaching peak values. In contrast, soil samples stabilized after reaching peak shear stress without further increase. Although no significant differences in shear behavior were observed between root-soil and soil samples in the initial shearing stage, the freeze-thaw cycle led to some consolidation in root-soil samples, reducing their resistance to elastic deformation. Moreover, longer root growth periods resulted in a more pronounced increase in shear stress. CT scan image reconstruction allowed us to quantify root system parameters, such as root volume and distribution near the shear plane, which showed a strong correlation with maximum shear stress. Our findings demonstrate the effectiveness of herbaceous plant roots, particularly Kentucky bluegrass, in maintaining soil stability under freeze-thaw conditions.
本研究以日本北海道地区为重点,调查了肯塔基蓝草根在冻融条件下对边坡土壤的加固作用。通过直接剪切试验和 X 射线 CT 扫描,我们分析了根系参数(如根系质量和体积)对根系-土壤复合材料剪切强度的影响。结果表明,与非冻融条件相比,冻融循环不会导致根系明显断裂,也不会削弱根系稳定土壤的能力。根系-土壤样本在剪切变形过程中表现出明显的延展性,剪切应力在达到峰值后继续增加。相比之下,土壤样本在达到剪切应力峰值后会趋于稳定,不会继续增加。虽然在剪切初始阶段,根土样本和土壤样本的剪切行为没有明显差异,但冻融循环导致根土样本出现一定程度的固结,从而降低了它们对弹性变形的抵抗力。此外,根系生长时间越长,剪切应力增加越明显。通过 CT 扫描图像重建,我们可以量化根系参数,如根的体积和在剪切面附近的分布,这些参数与最大剪切应力有很强的相关性。我们的研究结果证明了草本植物根系,尤其是肯塔基蓝草,在冻融条件下保持土壤稳定性的有效性。
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引用次数: 0
Gully erosion susceptibility mapping considering seasonal variations of NDVI using a machine learning approach in the Mollisol region of China 利用机器学习方法绘制考虑到 NDVI 季节性变化的中国软土地区沟壑侵蚀易发性地图
IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Pub Date : 2024-10-15 DOI: 10.1016/j.still.2024.106322
Ruilu Gao , Maofang Gao , Shuihong Yao , Yanru Wen
Gully erosion is the most severe form of soil erosion, and mapping gully erosion susceptibility accurately and automatically is crucial for guiding policy decisions. Topography and vegetation cover were general factors for assessing gully susceptibility, yet little attention has been paid to the spatiotemporal variations in vegetation. This study aims to predict gully-prone areas using stable factors (topography, hydrology, soil, etc.) considering the monthly variability in vegetation based on a machine learning approach in the Mollisol region of China. A total of 1890 gully and non-gully points were extracted to establish an inventory database. Twelve treatments were conducted including the stable factors and individual NDVI from January to December, respectively. All potential factors were evaluated for contributing to the gully erosion prediction, and a set of rules based on accuracy, AUC, and kappa were used to evaluate the model performance. The results demonstrated that NDVI varied widely between gully and non-gully areas and the importance of NDVI varied in diverse months. NDVI in August was the most important explanatory factor (25 %) to gully occurrence mapping, followed by the plan curvature (14 %), and elevation (13 %), respectively. The gully-prone areas predicted by NDVI in August exhibited higher accuracy, followed by that in May and June. This was attributed to the greater difference in NDVI between the gully and non-gully areas in June (0.30), May (0.23), and August (0.16). Overall, the very low, low, moderate, high, and very high gully susceptibility levels occupied 35 %, 23 %, 18 %, 14 %, and 10 % of the study area, respectively. This study advances our understanding of spatial-temporal heterogeneity in NDVI among gully and non-gully areas that need to be considered in gully mapping. Further, an automatic and accurate gully mapping approach can provide valuable information to identify areas where urgent and appropriate measures should be applied.
沟壑侵蚀是最严重的土壤侵蚀形式,准确、自动地绘制沟壑侵蚀易发性地图对于指导决策至关重要。地形和植被覆盖是评估沟蚀易发性的一般因素,但人们很少关注植被的时空变化。本研究旨在基于机器学习方法,利用稳定因子(地形、水文、土壤等)并考虑植被的月度变化,预测中国软土地层地区的沟谷易发区。共提取了 1890 个沟谷和非沟谷点,建立了清单数据库。在 1 月至 12 月期间分别进行了 12 次处理,包括稳定因子和单个 NDVI。评估了所有潜在因子对冲沟侵蚀预测的贡献,并使用一套基于准确度、AUC 和 kappa 的规则来评价模型性能。结果表明,沟壑区和非沟壑区的 NDVI 差异很大,不同月份 NDVI 的重要性也不同。8 月份的 NDVI 是绘制沟谷发生图最重要的解释因子(25%),其次分别是平面曲率(14%)和海拔(13%)。用 8 月份的 NDVI 预测沟壑易发区的准确度较高,其次是 5 月和 6 月。这是因为 6 月(0.30)、5 月(0.23)和 8 月(0.16)的沟壑区和非沟壑区的 NDVI 差异较大。总体而言,极低、低、中、高和极高的沟壑易感等级分别占研究区域的 35%、23%、18%、14% 和 10%。这项研究加深了我们对沟壑区和非沟壑区 NDVI 时空异质性的理解,在绘制沟壑地图时需要考虑这些异质性。此外,自动和准确的沟壑绘图方法可提供宝贵的信息,以确定应采取紧急和适当措施的区域。
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Soil & Tillage Research
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