Effect of farm management on topsoil organic carbon and aggregate stability in water: A case study from Southwest England,UK

There are few reliable data sets to inspire confidence in policymakers that soil organic carbon (SOC) can be measured on farms. We worked with farmers in the Tamar Valley region of southwest England to select sampling sites under similar conditions (soil type, aspect and slope) and management types. Topsoils (2–15 cm) were sampled in autumn 2015, and percentage soil organic matter (%SOM) was determined by loss on ignition and used to calculate %SOC. We also used the stability of macroaggregates in cold water (WSA) (‘soil slaking’) as a measure of ‘soil health’ and investigated its relationship with SOC in the clay‐rich soils. %SOM was significantly different between management types in the order woodland (11.1%) = permanent pasture (9.5%) > ley‐arable rotation (7.7%) = arable (7.3%). This related directly to SOC stocks that were larger in fields under permanent pasture and woodland compared with those under arable or ley‐arable rotation whether corrected for clay content (F = 8.500, p < .0001) or not (F = 8.516, p < .0001). WSA scores were strongly correlated with SOC content whether corrected for clay content (SOC_adj R² = .571, p < .0001) or not (SOC_unadj R² = 0.490, p = .002). Time since tillage controlled SOC stocks and WSA scores, accounting for 75.5% and 51.3% of the total variation, respectively. We conclude that (1) SOC can be reliably measured in farmed soils using accepted protocols and related to land management and (2) WSA scores can be rapidly measured in clay soils and related to SOC stocks and soil management.     

土壤调理粉剂处理下茶园土壤重金属污染特征及潜在风险评价

本文以贵州安顺不同土壤调理粉剂处理下“瀑布毛峰”茶园土壤为供试样品,通过样品测试与理化分析,对CK处理(0 kg/hm²)、A处理(600 kg/hm²)、B处理(750 kg/hm²)和C处理(900 kg/hm²)下茶园土壤重金属含量特征及污染水平进行探讨。结果表明：不同土壤调理粉剂处理下,研究区域土壤重金属Cr、Hg、Pb、Cu、Zn、Ni、As和Cd的变异程度各异,且土壤中这8种重金属含量也各不相同,其中pH、Cr、Pb和Ni含量在C处理中最高,As、Hg和Cd含量在A处理中最高,Cu和Zn含量在B处理中最高;对各重金属元素进行相关性分析可知,Ni与Pb之间存在极显著相关性,表明两者之间的同源性极高,其余元素之间相关性特征不明显;由综合污染指数（P_综）得出A处理为轻度污染,CK处理、B处理和C处理均为中度污染,不同处理土壤中Cr均在国家Ⅱ级标准(GB15618—2008)规定范围内,样点达标率为100%,在所选定的污染评价因子中,Cu的贡献率最高,为土壤主要影响因子,其次是Cd和Ni;研究区土壤重金属单项潜在生态风险指数($E_{r}^{i}$)中Hg属于强生态风险,其余7种重金属处于轻微潜在生态风险等级;综合潜在生态风险指数(RI)平均值为196.79,总体处于中等潜在生态风险水平,Hg对RI的贡献率最大,是最主要的生态风险元素。     

棉田土壤养分分析与土壤墒情监测系统应用

【目的】研究土壤养分的空间变异程度及分布规律,为该区域科学施肥提供依据。【方法】以新疆生产建设兵团第八师石河子总场六分场数字农业示范田为研究区域,应用土壤墒情监测系统、GIS与地统计学的方法,对棉田土壤含水量与温度进行实时采集、分析并存储在服务器里面,分析石河子总场土壤含水量和温度变化规律、棉田土壤养分空间分布特点及变异规律。【结果】(1)根据监测数据分析,随着灌水量增加和棉花生育期推进,上层0~30 cm比下层40~60 cm的土壤含水量变化趋势明显。0~20 cm土层土壤补偿水比较充分,各个监测点土壤含水量基本维持在比较适宜的范围内。土壤各层温度受大气温度影响并随着土层深度的加深而减弱,随着土层深度的逐渐加深滞后时间相对延长;受棉株逐渐长高变大以后遮阴等造成的影响,7月以后各土层温度逐渐持平,波动不大。(2)土壤全氮、速效磷和速效钾均呈现出中等程度变异;(3)土壤速效钾的块金值在25%~75%(块金值为0.497)表现为中等空间自相关性外,土壤全氮、速效磷指标的块金系数小于25%表现为强烈的空间自相关性。【结论】应用土壤墒情实时监测系统指导棉田灌溉,较往年没有任何减产减质的情况下,棉花灌溉在全生育期内比以往灌溉次数下降了1~3次,节约水资源约20%左右。研究区域内土壤全氮、速效磷和速效钾变异呈现中等程度变异特征,全氮、速效磷表现为极强空间自相关性,速效钾表现为中等强度的空间相关性。     

土壤管理措施对坡耕地侵蚀退化耕层的恢复作用

【目的】紫色土坡耕地土壤侵蚀严重,研究土壤管理措施对不同侵蚀程度坡耕地耕层侵蚀恢复作用,为紫色土坡耕地耕层质量调控和坡耕地持续利用提供理论及实践依据。【方法】采用单因素方差分析（One-way ANOVA）检验各指标的差异显著性,研究不施肥（CK）、施化肥（F）、施生物炭+化肥（BF）3种土壤管理措施对侵蚀0 cm（S_-0）、侵蚀5 cm（S_-5）、侵蚀10 cm（S_-10）、侵蚀15 cm（S_-15）、侵蚀20 cm（S_-20） 5个不同侵蚀程度坡耕地耕层土壤属性的恢复作用。【结果】（1）随侵蚀程度增加,土壤砂粒含量由38.1%—42.4%逐渐增至44.2%—46.4%,土壤黏粒含量由12.6%—14.8%逐渐减少至9.6%—11.0%;与S_-0、S_-5、S_-10相比,S_-15、S_-20土壤容重显著增大;S_-10侵蚀程度下,土壤抗剪强度最大,在8.71—9.56 kg·cm^-2之间;F、BF处理下S_-15侵蚀程度的土壤稳定入渗率、平均入渗率降幅均最大。（2）不同管理措施下坡耕地耕层土壤属性差异显著,BF处理下土壤砂粒含量小、黏粒含量最大,0—10 cm、10—20 cm土层土壤容重显著低于CK（P<0.05）,土壤总孔隙度、毛管孔隙度均显著高于CK、F处理;BF处理下土壤初始入渗率、稳定入渗率、平均入渗率均最大,CK处理最小;与CK处理相比,BF处理土壤抗剪强度显著增大。（3）随侵蚀程度增加,土壤可蚀性K值显著下降,与S_-0相比,S_-20侵蚀程度下土壤可蚀性K值下降0.1960%—0.2192%;BF处理下土壤可蚀性K值最大,F处理次之,CK最小;S_-10侵蚀程度下F、BF处理的K值均较CK增加幅度最大,分别增加0.0684%、0.1404%。【结论】施加生物炭+化肥在改善土壤物质组成、结构特征、提高土壤蓄渗性能等方面较单施化肥效果更为显著,可有效减轻紫色土坡耕地耕层土壤侵蚀,对侵蚀10 cm条件下的坡耕地耕作层（0—20 cm）土壤的改良效果最佳。     

土壤铅和镉溶出伏安法检测中影响因素及其削弱方法研究进展

溶出伏安法具有分析速度快、成本低、灵敏度高等优点被广泛应用于检测土壤重金属含量，但在检测土壤重金属时，溶出伏安检测精度会受到多方面因素的影响。该文在介绍溶出伏安法工作原理的基础上，从伏安参数、试验条件和土壤物质成分三方面阐述溶出伏安法检测土壤Pb2+和Cd2+为的影响因素，解析各因素的影响机理，归纳影响削弱方法的研究进展。研究结论为：方波脉冲阳极溶出伏安法最常用于检测土壤Pb2+和Cd2+，伏安参数包括脉冲幅值、电压增量和脉冲频率，试验条件包括沉积时间、沉积电压和支持电解质种类及其pH值，土壤成分主要干扰因素包括非目标重金属和有机质。针对伏安参数和试验条件的影响可以设计优化试验有效削弱。针对非目标重金属和有机质的干扰影响，目前研究还没有提出有效的削弱方法。最后，展望了溶出伏安法检测土壤重金属的未来发展方向。     

不同比例缓释肥、烟草专用复合肥配施对植烟土壤肥力及烤烟产质量的影响

为探究不同比例缓释肥、烟草专用复合肥配施对植烟土壤肥力及烤烟产质量的影响,在宣威市热水镇植烟区设置了5种不同肥料配比组合和对照,对植烟土壤及烤后烟叶进行取样分析。结果表明：不同比例缓释肥配施烟草专用复合肥使土壤综合肥力指数(IFI)相较于CK（单施烟草专用复合肥）提高了12.50%~23.21%,以60%~100%缓释肥等比替代复合肥(T3、T4、T5)表现最优。从烤烟综合品质来看,不同比例缓释肥替代烟草专用复合肥使烤烟综合品质平均得分相较于CK提高了0.19%~6.64%,其中以80%缓释肥替代复合肥处理(T4)表现最优。烤后烟叶经济效益也以T4最优,公顷产值达到59995.80元,高于对照和其他处理。综上所述,缓释肥和复合肥比例为80%:20%,能较好的提高烟叶综合品质,烤后烟叶能获得较好的经济效益,并在一定程度上改善土壤养分结构。     

冻融循环下红色砒砂岩水泥土力学性能试验研究

为实现砒砂岩作为一种自然资源的潜在利用价值,提高砒砂岩有效利用,将鄂尔多斯市准格尔旗的红色砒砂岩加入不同掺量水泥制成砒砂岩水泥土,进行不同围压、不同冻融循环次数条件下的不固结不排水三轴试验,得到了砒砂岩水泥土的各力学参数的变化规律,并通过超景深三维显微镜对砒砂岩水泥土的细观结构进行观测.结果表明:砒砂岩水泥土的应力-应变曲线呈应变软化趋势,随水泥掺量的增加其黏聚力和内摩擦角呈线性增长的趋势.砒砂岩水泥土的内摩擦角受冻融循环影响较小,而黏聚力受冻融循环影响较大.水泥掺量越多,砒砂岩水泥土的抗冻性越好,但其脆性特征越明显.对细观结构的观测进一步验证了冻融使得低掺量水泥的固化土细观结构发生较大改变,导致内部空隙增大,而水泥土随水泥掺量的增加其内部结构更加致密,从而提高了水泥土的抗冻性.     

不同种植模式对土壤质量及马铃薯生长的影响

为探究轮作藜麦、玉米及连作对马铃薯根系生理及根系发育的影响及其机制,比较了3种种植模式(轮作藜麦、轮作玉米及连作)对马铃薯根际土壤微环境、根系生理、根系发育及植株生长的影响,以期为减轻马铃薯连作障碍、筛选较好的轮作模式提供理论依据。结果表明:(1)轮作藜麦、玉米明显降低土壤pH,提高土壤中有机质、碱解氮和有效磷含量,增强土壤肥力相关酶的活性,增加土壤细菌、放线菌数量和细菌与真菌数量比值(B/F),降低真菌数量,改善马铃薯根际土壤微环境,对植株生长发育起到促进作用,表现在马铃薯的株高、茎粗、地上部干重、根干重、单株薯重均有一定程度的增加。(2)轮作藜麦、玉米使得马铃薯根系超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性上升,超氧阴离子产生速率下降,丙二醛(MDA)含量减少,渗透调节物质含量增加,表明通过轮作藜麦和玉米使得连作对马铃薯植株造成的胁迫得到了一定程度缓解。(3)轮作藜麦、玉米显著提高了马铃薯根系总根长、根表面积、根体积、根平均直径和根尖数,说明轮作藜麦及玉米促进了马铃薯根系的生长发育,这与轮作藜麦及玉米改善土壤理化性质、生物学性质及促进马铃薯地上部分的发育相对应。比较轮作藜麦及轮作玉米的整体表现,以轮作玉米调控马铃薯连作障碍的效果较好。     

南方酸化红壤钾素淋溶对施石灰的响应

为探究石灰施用的长期和短期效应对酸化红壤钾素的影响，依托始于1990年的国家红壤肥力与肥料效益监测长期定位试验，选取化肥氮磷配施(NP)、氮磷钾配施(NPK)、氮磷钾配施+半量秸秆还田(NPKS)及其增加常量石灰（NPL、NPKL、NPKSL）6个处理。室内土柱淋溶试验设置0 L、0.5 L、1 L和1.5 L石灰施用量，监测田间和淋溶后0 ~ 50 cm土层速效钾和缓效钾含量、pH及淋溶液中钾离子（K⁺）含量的变化。结果表明：1）施用石灰4年后，与NPKS、NPK、NP相比，各处理均增加了相应土层的缓效钾含量；NPKSL和NPL处理分别增加了0 ~ 40 cm和0~10 cm速效钾含量，增幅分别为2.06 % ~ 36.39 %和27.26 %。2）石灰施用量相同，各处理土壤累积K⁺淋溶量由大到小依次为NPKS处理、NPK处理和NP处理。施用石灰减少了NPKS和NPK处理淋溶液中累积K⁺含量，降幅为18.10 % ~ 57.70 %，且K⁺淋溶率也下降。3）施石灰提高了表层土壤pH；土壤中钾素盈余情况下，石灰当季施用量每增加1 000 kg·hm^-2，K⁺淋溶损失率降低11.7%；施用石灰和施肥是显著影响平均淋溶K⁺量和K⁺累积淋溶量的主效应。可见，施用石灰的短期和长期效应均能提高表层土壤pH；减少速效钾在剖面的运移，增加剖面下层缓效钾的含量；土壤淋溶K⁺量、累积K⁺淋溶量和K⁺淋溶率均随土壤中速效钾含量的增加而增加，随施用石灰而降低。合理的石灰用量能够有效降低酸化红壤K⁺淋溶损失风险。     

Assessing the effects of vegetation and precipitation on soil erosion in the Three-River Headwaters Region of the Qinghai-Tibet Plateau,China

Soil erosion in the Three-River Headwaters Region (TRHR) of the Qinghai-Tibet Plateau in China has a significant impact on local economic development and ecological environment. Vegetation and precipitation are considered to be the main factors for the variation in soil erosion. However, it is a big challenge to analyze the impacts of precipitation and vegetation respectively as well as their combined effects on soil erosion from the pixel scale. To assess the influences of vegetation and precipitation on the variation of soil erosion from 2005 to 2015, we employed the Revised Universal Soil Loss Equation (RUSLE) model to evaluate soil erosion in the TRHR, and then developed a method using the Logarithmic Mean Divisia Index model (LMDI) which can exponentially decompose the influencing factors, to calculate the contribution values of the vegetation cover factor (C factor) and the rainfall erosivity factor (R factor) to the variation of soil erosion from the pixel scale. In general, soil erosion in the TRHR was alleviated from 2005 to 2015, of which about 54.95% of the area where soil erosion decreased was caused by the combined effects of the C factor and the R factor, and 41.31% was caused by the change in the R factor. There were relatively few areas with increased soil erosion modulus, of which 64.10% of the area where soil erosion increased was caused by the change in the C factor, and 23.88% was caused by the combined effects of the C factor and the R factor. Therefore, the combined effects of the C factor and the R factor were regarded as the main driving force for the decrease of soil erosion, while the C factor was the dominant factor for the increase of soil erosion. The area with decreased soil erosion caused by the C factor (12.10×10³ km²) was larger than the area with increased soil erosion caused by the C factor (8.30×10³ km²), which indicated that vegetation had a positive effect on soil erosion. This study generally put forward a new method for quantitative assessment of the impacts of the influencing factors on soil erosion, and also provided a scientific basis for the regional control of soil erosion.