滴灌下生物质改良材料对盐渍土水盐氮运移的调控效应

为探究生物质改良材料对滴灌盐渍土水、盐、肥运移过程的调控效应，采用土箱模拟试验，研究了水肥一体化滴灌条件下，生物炭和腐殖酸两种改良材料对盐渍土水、盐、氮运移和再分布过程及其时空分布特征的影响规律。结果表明：在滴灌条件下，盐渍土壤水盐的时空动态变化表现出明显的水分入渗驱动的盐分运移过程和蒸发扩散驱动的水盐再分布过程；铵态氮含量在时间上表现出先增大、后减小的变化趋势，在空间上的运移再分布特征较弱；硝态氮含量初始时空分布表现出与水盐相似的运移特征，受铵态氮硝化作用的多重影响，后期空间分布与铵态氮空间分布相似；生物炭通过提高土壤饱和导水率，增大了入渗阶段土壤水、盐、氮的运移速率和分布范围；腐殖酸通过提高土壤田间持水率增大了再分布过程土壤水、盐、氮的分布范围和强度，同时其对尿素的水解和硝化过程表现出更强的抑制效果。应用生物质改良材料在改变土壤物理性状进而调控滴灌土壤水盐运移的同时，还影响土壤氮素转化运移过程及其分布，这为水肥一体化滴灌盐渍农田的节水、控盐、减肥治理提供了理论基础。     

内蒙古高原紫花苜蓿土壤氮素丰缺指标和推荐施氮量

为了给内蒙古高原紫花苜蓿（Medicago sativa L.）测土施氮奠定科学基础，本研究采用“零散实验数据整合法”和“养分平衡-地力差减法”新应用公式，开展了该自然区域紫花苜蓿土壤氮素丰缺指标和推荐施氮量研究。结果表明：内蒙古高原生长第1年紫花苜蓿土壤碱解氮第1~6级丰缺指标为≥48，20~48，8~20，4~8，2~4和<2 mg·kg^-1，土壤全氮第1~5级丰缺指标为≥1.4，0.8~1.4，0.4~0.8，0.2~0.4和<0.2 g·kg^-1，土壤有机质第1~6级丰缺指标为≥17，10~17，6~10，3~6，2~3和<2 g·kg^-1。当紫花苜蓿目标产量9~18 t·hm^-2、氮肥利用率40%时，内蒙古高原紫花苜蓿第1~6级土壤推荐施氮量分别为0，68~135，135~270，203~405，270~540和338~675 kg·hm^-2。     

动物饲料国际贸易、养殖密度与环境氮磷平衡的关系

粮食和饲料的国际贸易促进了许多国家农业生产系统的专业化和集约化。专业化动物养殖越来越多地依赖进口大豆和玉米,虽然提高了动物生产力,但也促使作物和动物生产系统在空间上的分离。本文综述了几十年来全球范围内大豆和玉米的贸易变化,并将其与养殖密度和整个食品系统中营养平衡的变化联系起来。这一变化与不同的营养管理条例的差异和动物饲养密度的空间变化有关。深入解析这些变化有助于理解动物饲料国际贸易、养殖密度与氮磷平衡之间的复杂关系。     

Determination of critical nitrogen dilution curve based on leaf area index for winter wheat in the Guanzhong Plain,Northwest China

Excessive use of nitrogen(N) fertilizers in agricultural systems increases the cost of production and risk of environmental pollution. Therefore, determination of optimum N requirements for plant growth is necessary. Previous studies mostly established critical N dilution curves based on aboveground dry matter(DM) or leaf dry matter(LDM) and stem dry matter(SDM), to diagnose the N nutrition status of the whole plant. As these methods are time consuming, we investigated the more rapidly determined leaf area index(LAI) method to establish the critical nitrogen(N_c) dilution curve, and the curve was used to diagnose plant N status for winter wheat in Guanzhong Plain in Northwest China. Field experiments were conducted using four N fertilization levels(0, 105, 210 and 315 kg ha-1) applied to six wheat cultivars in the 2013–2014 and 2014–2015 growing seasons. LAI, DM, plant N concentration(PNC) and grain yield were determined. Data points from four cultivars were used for establishing the N_c curve and data points from the remaining two cultivars were used for validating the curve. The N_c dilution curve was validated for N-limiting and non-N-limiting growth conditions and there was good agreement between estimated and observed values. The N nutrition index(NNI) ranged from 0.41 to 1.25 and the accumulated plant N deficit(N_(and)) ranged from 60.38 to –17.92 kg ha~(-1) during the growing season. The relative grain yield was significantly affected by NNI and was adequately described with a parabolic function. The N_c curve based on LAI can be adopted as an alternative and more rapid approach to diagnose plant N status to support N fertilization decisions during the vegetative growth of winter wheat in Guanzhong Plain in Northwest China.     

不同施氮水平对柳枝稷光合特性及抗旱性的影响

为了探究宁夏银北盐碱地区柳枝稷高产优质高效栽培过程中最佳的施氮量及其对柳枝稷叶片光合特性及抗旱性的影响,本研究采用大田试验,以Cave-in-Rock品种柳枝稷为供试材料,设无氮添加(0 kg·hm-2,N0)、施低氮(60 kg·hm-2,N60)、中氮(120 kg·hm-2,N120)和高氮(240 kg·hm-2,N240)共4个施氮水平,分析比较了各生育时期内柳枝稷叶片光合特性、渗透调节物质及抗氧化酶活性的变化,同时采用隶属函数法综合评价了盐碱地柳枝稷的抗旱性.结果表明,随着不同施氮水平的增加,柳枝稷各生育时期内叶片叶绿素相对含量(SPAD)、净光合速率(Pn)、气孔导度(Gs)和细胞间隙CO2浓度(Ci)整体呈现先升后降的趋势,均在施中氮(N120)处理下达到峰值.与无氮添加(N0)处理相比,施低氮(N60)、中氮(N120)和高氮(N240)处理下柳枝稷叶片的SPAD值平均增加了4.73％、18.71％和8.86％,净光合速率(Pn)平均提高了5.55％、17.02％和12.41％,气孔导度(Gs)平均升高了7.87％、56.18％和39.33％,细胞间隙CO2浓度(Ci)平均增加了7.86％、30.71％和13.81％.柳枝稷叶片蒸腾速率(Tr)在高氮(N240)处理下达到最大值,叶片水分利用效率(WUE)随着不同施氮水平的增加而逐渐下降.隶属函数分析结果表明,施中氮(N120)处理下柳枝稷各抗旱指标隶属函数值的均值最大.因此,本试验条件下有利于提高柳枝稷叶片光合能力和抗旱性的适宜施氮水平为120 kg·hm-2.     

养分管理对安溪茶园土壤肥力及茶叶品质的影响

安溪是铁观音的主产区,茶园养分管理滞后已成为该地区茶叶生产的瓶颈,本研究旨在为该地区茶园的养分管理提供科学依据。试验于2015年在安溪县采集了50个茶园的茶青与土壤样品,测定了土壤5项主要肥力指标和茶青中9种主要次生代谢物含量;并根据茶农氮肥用量调研数据,初步将茶园养分管理划分为:少量、中量和过度型等三种方式。限制性主坐标轴分析发现,此分类方式可解释34.4%(P0.001)茶园土壤肥力参数的总体差异,说明此分类方式能反映出不同茶园养分管理的总体水平;并且,养分管理对表层土壤有效磷的影响最为显著。进一步分析表明,养分管理对茶青综合品质的影响可解释品质总差异的7.48%(P0.001);大部分茶青次生代谢物在中量型管理下含量最高。说明养分管理影响安溪茶园土壤的肥力状况,施肥量过高或过低均不利于高品质茶叶的生产,该地区的建议施氮量约为200～400 kg·hm~(–2)·a~(–1)。     

包膜含缩节胺氯化钾对棉花产量及土壤钾素的影响

棉花是具无限生长特性的喜钾作物，为解决其生育期内多次追施钾肥和叶面喷施缩节胺的用工问题，实现轻简化种植目标，研究包膜含缩节胺氯化钾对棉花产量、经济效益和土壤钾素变化特征的影响。试验设5个处理，分别为一次基施180 kg?hm-2包膜含缩节胺氯化钾（CRKMC）、减少30%钾素用量（126 kg?hm-2）的包膜含缩节胺氯化钾（70%CRKMC）、基施180 kg·hm^-2普通包膜氯化钾（CRK）、分次施用180 kg?hm-2普通氯化钾（KCl）和对照（CK，不施钾肥），后三个处理叶面喷施三次缩节胺。结果表明：等量施钾条件下，CRKMC和CRK较KCl籽棉产量分别增加8.81%和9.36%，经济效益分别增加15.53%和12.86%，70%CRKMC较KCl增产6.53%，增加净收入13.64%。CRKMC抑制棉花盛花期前的株高，提高后期株高、茎粗和叶绿素含量，使生物量较KCl增加18.56%~24.98%，提高钾素吸收量，表观利用率增加25.06~38.83个百分点。CRKMC中的钾素和缩节胺在土壤中呈“先慢后快而后趋于平缓”的规律，释放高峰出现在盛花期至始絮期，显著提高蕾期以后土壤中的速效钾含量。因此，土壤基施包膜含缩节胺氯化钾，可合理协调棉花生长势指标，满足钾素吸收需求，减少30%用量仍有较高的经济效益和钾素利用率，实现了缩节胺和钾素在同一时空条件下的一体化调控，有助于棉花减肥、高产和轻简化种植。     

米槠人工林土壤微生物群落组成对凋落物输入的响应

全球气候变化显著影响森林凋落物数量,进而会对土壤微生物群落造成影响。本研究以亚热带米槠人工林为研究对象,探究不同凋落物量输入处理(凋落物去除、凋落物加倍、对照)下,森林土壤微生物群落组成的变化。结果表明:与去除凋落物相比,凋落物加倍后0~10 cm土壤铵态氮(NH4^+-N)、硝态氮(NO3^--N)、全氮(TN)、有效磷(AP)含量分别显著增加了30.30%、49.66%、12.77%和13.90%。与对照相比,凋落物加倍与去除处理土壤微生物生物量碳(MBC)和氮(MBN)含量分别显著增加和下降(P<0.05),但凋落物加倍与去除处理间无显著差异。凋落物加倍处理下土壤丛枝菌根真菌(AMF)、革兰氏阳性菌[G(+)]、革兰氏阴性菌[G(-)]、放线菌(ACT)、真菌(F)丰度和总磷脂脂肪酸(TPLFA)含量分别比去除凋落物处理的土壤高68.35%、63.35%、82.65%、69.02%、40.56%和65.85%,而土壤革兰氏阳性菌与阴性菌比值、真菌与细菌比值则分别降低11.64%和26.67%。冗余度分析表明,铵态氮是影响该人工林土壤微生物群落组成的最主要环境因子。可见凋落物输入量变化改变了土壤养分有效性,进而显著影响了土壤微生物群落组成,这对进一步深入探究全球气候变化对亚热带森林土壤养分循环的影响具有重要意义。     

Soil Organic Carbon and Soil Physical Characteristics as Affected by Land Uses under Semiarid Irrigated Conditions

ABSTRACT

Rice-Wheat rotation is the dominant land use in the state of Punjab, resulting in over exploitation of ground water resources. Thus, it is necessary to evaluate other land uses that requires less water and are sustainable. The present investigation was planned with four land uses viz., fallow (FLU), rice-wheat (ALU), grasses (GLU) and pear (PLU) with respect to their effect on soil organic carbon and soil physical characteristics in surface and subsurface depth in district Ludhiana, Punjab. The soil organic carbon (SOC) content was higher by 10, 30.9 and 24.9% under rice-wheat, grasses, and pear than that under fallow. The grasses showed higher soil moisture characteristics curve (SMCC) and lower bulk density (Db) than that under rice-wheat. The larger mean weight diameter (MWD) were observed under pear, grasses and fallow than that under rice-wheat by 0.21, 0.51 and 0.41 mm, respectively. The saturated hydraulic conductivity (K_s) was higher in magnitude by 56.1, 55.4 and 28%, respectively under PLU, GLU and FLU over ALU. Of the evaluated land uses, pear and grasses proved to be more sustainable by retaining more moisture, maintaining better soil physical characteristics and SOC under semiarid irrigated conditions in the state on long term gradual response.     

Soil protection for a sustainable future: options for a soil monitoring network for Ireland

The increased recognition of the importance of soil is reflected in the UN Post‐2015 Development Agenda with sustainable development goals that directly and indirectly relate to soil quality and protection. Despite a lack of legally binding legislation for soil protection, the European Commission remains committed to the objective of soil protection. However, the achievement of a legally binding framework for soil protection relies on the implementation of a soil monitoring network (SMN) that can detect changes to soil quality over time. As beneficiaries do not pay for the provision of soil information, the options for soil monitoring are limited. The use of existing data sets should be considered first. Using Ireland as an example, this research explored the opportunities for a SMN for Ireland considering three existing national data sets. The options for a SMN are considered in terms of their spatial and stratified distribution, the parameters to be measured and an economic analysis of the options proposed. This research finds that for Ireland, either a 10 or a 16 km² grid interval stratified by land use and drainage class offers the best potential in relation to the spatial distribution of existing data sets to reflect local data at a national level. With existing data, the stratified SIS data using the 16 km² grid offers the best value for money, with baseline costs for analysis, excluding field costs, of between €706 481 and €2.8 million. Acknowledging the impossibility of measuring all parameters with ideal frequency, this study proposes a two‐tier system for optimized monitoring frequency. Parameters must anticipate future policy requirements. Finally, the implementation of a SMN must be accompanied by standardized methods, defined thresholds and action mandates to maintain soil quality within allowable limits.