秸秆还田对宁南旱作农田土壤水分及作物生产力的影响

在宁南旱区通过研究秸秆还田对土壤水分及作物生产力的影响,为该区土壤扩蓄增容及作物水分利用效率的提高提供理论依据。在3年秸秆还田定位试验中,设置了不同秸秆还田量处理（谷子秸秆按3000、6000、9000kg·hm-2粉碎还田;玉米秸秆按4500、9000、13500kg·hm-2粉碎还田,对照为秸秆不还田）,对不同处理条件下的土壤含水量、作物水分利用效率和作物产量等指标进行了分析。结果表明,随秸秆还田量由高到低,在试验第3年（2009年）玉米播种期0～200cm土层的土壤贮水量分别较CK提高8.8%、9.9%和6.8%;成熟期0～200cm土层的土壤贮水量分别较CK提高14.8%、13.9%和12.8%;产量分别较CK显著提高30.7%、29.2%和12.5%（P〈0.05）;作物水分利用效率分别较CK显著提高41.1%、35.9%和21.3%（P〈0.01）。在宁南半干旱区采用秸秆还田能较好地保蓄土壤水分,利于土壤水库的扩蓄增容,且对提高作物产量和作物水分利用效率有显著效果。     

元谋干热河谷植被恢复对土壤酶活性的影响特征

选取5种植被恢复模式,研究了不同模式对土壤酶活性的影响以及土壤肥力与土壤酶活性的关系。结果表明,植被恢复后土壤蔗糖酶、过氧化氢酶和碱性磷酸酶活性相比光板地都有明显提高,顺序依次为酸角〉小桐子〉印楝;同种植被的土壤酶活性表现出根际大于非根际的特性;不同的植被恢复模式和种植方式对酶活性都有较大的影响,等高垄沟模式具有较好的保土保肥能力,创造了良好的微生物环境,增强了土壤酶活性;植被恢复模式下酶活性与土壤肥力之间的关系密切,特别是有机质、全氮与土壤蔗糖酶、过氧化氢酶和碱性磷酸酶的相关性较好。因此,用土壤酶活性来评价植被恢复的效果是可靠的。     

不同磷酸盐对污染土壤中镉生物有效性的影响

采用盆栽试验,在镉二级和三级污染的红壤和褐土上添加不同磷酸盐（磷酸二氢铵、磷酸二氢钾、磷酸二氢钙）后种植小油菜40d,测定植株生物量、镉吸收量、土壤有效态镉含量、pH值,分析不同磷酸盐对污染土壤中镉生物有效性的影响。结果表明,3种磷酸盐使污染红壤和褐土上小油菜生物量分别提高了18.7%～291.1%和31.5%～991.2%,在红壤上提高顺序为磷酸二氢钙〉磷酸二氢钾〉磷酸二氢铵,而在褐土上则表现为磷酸二氢钙≈磷酸二氢钾〉磷酸二氢铵。3种磷酸盐影响下小油菜吸收镉量,在镉二级污染水平的红壤上表现为显著提高8.3%～60.6%,而在镉三级污染水平的红壤上则表现为显著降低了4.6%～58.4%。污染红壤有效态镉含量在加入3种磷酸盐后提高了17.0%～122.7%,提高顺序为磷酸二氢钙〉磷酸二氢钾〉磷酸二氢铵;而磷酸二氢铵使污染褐土有效态镉含量降低了2.4%～13.4%。3种磷酸盐使红壤pH值提高了0.24～0.99。可见,不同土壤类型、不同镉污染水平下,3种磷酸盐对土壤镉的生物有效性的影响存在差异,其机制有待进一步研究。     

磺胺嘧啶在黑土及其不同粒径组分中的吸附行为研究

采用批平衡吸附试验法,研究了磺胺嘧啶在黑土及其不同粒径中的吸附行为。结果表明,磺胺嘧啶的吸附不同程度地偏离线性模型,但均可用Freundlich模型和Langmuir模型进行良好地线性拟合。黑土（〈0.2mm）及其不同粒径（粘粒：〈0.002mm、粉粒：0.002~0.02mm、砂粒：0.02~0.2mm）的Freundlich容量因子Kf值分别为29.6、53.1、32.9L.kg-1和21.6L.kg-1,说明磺胺嘧啶在黑土及其不同粒径中的吸附行为存在差异。将吸附参数Kf进行碳标化处理后,Koc值除粉粒外,其他基本一致。随着溶液pH的持续增加（1.0~10.0）,黑土及其不同粒径中的磺胺嘧啶的吸附参数lgKf呈现先急剧降低然后稍微回升的趋势,由此推测,阳离子交换作用可能是磺胺嘧啶土壤吸附的重要机制。过氧化氢处理去除土壤有机质后,黑土的Kd值从1.92L.kg-1降为1.22L.kg-1,磺胺嘧啶的吸附量由16.5mg.kg-1降低到11.2mg.kg-1,说明有机质含量也是影响磺胺嘧啶吸附行为的重要因素。     

水溶性有机质对南京城郊菜地土壤Pb吸附解吸行为的影响

通过批处理试验研究了不同来源的水溶性有机质（DOM）对南京城郊菜地土壤铅（Pb）吸附解吸行为的影响。研究结果表明,DOM抑制了土壤对Pb的吸附,随着DOM浓度的增加,土壤对Pb的吸附量减少,当DOM体积从0增加到21 mL时,土壤对Pb的吸附量分别减少5.34%（鸡粪）、24.12%（牛粪）和0.35%（有机肥）。不同来源的DOM也影响土壤对Pb的吸附程度。当添加低浓度的DOM（添加体积小于6 mL）时,土壤对Pb的吸附量顺序为鸡粪DOM〈牛粪DOM≈有机肥DOM;当添加高浓度的DOM（添加体积大于6 mL）时,土壤对Pb的吸附量顺序为牛粪DOM〈鸡粪DOM〈有机肥DOM。反之亦然,DOM促进了土壤Pb的解吸,解吸量随添加DOM浓度的增大而增加。不同来源的DOM对土壤Pb解吸程度的影响也有所差异。对于低污染土壤,Pb的解吸量顺序为鸡粪DOM〉牛粪DOM〉有机肥DOM;对于高污染土壤,Pb的解吸量顺序为鸡粪DOM〉有机肥DOM〉牛粪DOM。Pb吸附动力学曲线揭示,添加DOM延缓了土壤Pb吸附平衡到达的时间。本研究表明,DOM增加了土壤Pb的环境风险。     

放牧与围栏内蒙古针茅草原土壤微生物生物量碳、氮变化及微生物群落结构PLFA分析

以内蒙古贝加尔针茅草原、大针茅草原和克氏针茅草原为研究对象,采用氯仿熏蒸法和磷脂脂肪酸（PLFA）分析方法研究了放牧与围栏条件下内蒙古针茅草原土壤微生物生物量和群落结构特征的变化情况。研究表明放牧与围栏草地土壤微生物生物量和群落结构差异显著。氯仿熏蒸法分析结果表明内蒙古针茅草原土壤微生物生物量碳的含量介于166.6-703.5mg·kg^-1之间,微生物生物量氮含量介于30.34-92.15mg·kg^-1之间,其中贝加尔针茅草原土壤微生物生物量碳、氮最高,大针茅草原次之,克氏针茅草原则最低。放牧条件下,贝加尔针茅草原、大针茅草原土壤微生物生物量碳、氮显著低于围栏草地,克氏针茅草原则无显著变化。PLFA分析结果显示,内蒙古针茅草原土壤微生物群落PLFAs种类、含量丰富,共检测出28种PLFA生物标记磷脂脂肪酸,并且以直链饱和脂肪酸和支链饱和脂肪酸为主,相对含量占总量的2/3左右,其中贝加尔针茅草原土壤微生物含量最丰富,其围栏样地土壤的PLFA含量达到27.3nmol·g-1,大针茅草原和克氏针茅草原依次降低。围栏条件下,各类型草原土壤细菌脂肪酸与总PLFA含量均显著高于放牧草地,真菌脂肪酸含量则因草原类型不同各有差异;放牧导致各类型草原革兰氏阳性细菌PLFAs/革兰氏阴性细菌PLFAs（GPPLFAs/GNPLFAs）比值显著降低,而除了克氏针茅草原,细菌PLFAs/真菌PLFAs比值则显著升高。PLFAs主成分分析表明,放牧和围栏处理对内蒙古针茅草原土壤微生物群落结构产生影响,且围栏处理的影响程度大于放牧处理。经相关分析表明,氯仿熏蒸法和PLFA分析方法之间有很好的一致性,且土壤微生物PLFAs与土壤有机质、全磷、硝态氮显著相关。     

施用生物黑炭对新疆灰漠土肥力与玉米生长的影响

通过田间小区对比试验,研究生物黑炭作为改良剂与堆肥等其他生物质改良剂相比对新疆低产土壤——灰漠土的改良和玉米增产的效果。结果表明,施入20t·hm^-2和40t·hm^-2的生物黑炭,能显著提高土壤有机质含量,与基础土壤相比,提高了22．77％和49．80％,明显高于秸秆还田、羊粪和腐植酸有机肥等对土壤有机质的提升效果。施用生物黑炭提高了玉米单穗重、千粒重、产量以及生物量,降低了玉米的根冠比,促进玉米根系生长,而追施氮肥对玉米产量的影响差异不显著。因此,施用生物黑炭能够大幅度提高土壤有机质含量,对灰漠土土壤质量和作物产量以及农艺性状的提高具有重要作用。     

施用蛋鸡粪的龙眼园土壤质量现状评价

本文调查了蛋鸡养殖场粪便产生量及处理利用现状等基本资料,选点采集养殖场配套龙眼园的土壤样品,通过分析测定有机质、全氮、全磷、铜、锌等指标,探讨了施用蛋鸡粪对龙眼园土壤质量的影响,并对龙眼园土壤环境现状进行评价。结果表明,该养殖场龙眼园土壤粪便当量负荷为19.14t·hm-2,未超过以氮计的土壤粪便当量负荷警戒值。四个季节施用蛋鸡粪的龙眼园土壤中有机质、全氮、全磷、铜、锌等指标均高于未施用蛋鸡粪的橡胶园土壤,但无显著差异;施用过蛋鸡粪的龙眼园土壤有机质、全氮、全磷、铜、锌全年平均含量分别为18.71g·kg-1、0.97g·kg-1、0.79g·kg-1、19.65mg·kg-1和43.05mg·kg-1,均显著高于未施用过蛋鸡粪的橡胶园土壤。四个季节龙眼园土壤和橡胶园土壤铜、锌单项污染指数均小于1,属于安全级别。由于龙眼园施用的蛋鸡粪仅占养殖场蛋鸡粪产生总量的2%,而且采用直接施用鲜鸡粪的方式,因此仍存在环境污染的隐患。本文所得结果可为评估蛋鸡养殖场环境污染风险及与果园结合的蛋鸡养殖模式的合理性提供依据。     

Short‐term degradation of semiarid grasslands—results from a controlled‐grazing experiment in Northern China

The assessment of grassland degradation due to overgrazing is a global challenge in semiarid environments. In particular, investigations of beginning steppe degradation after a change or intensification of the land use are needed in order to detect and adjust detrimental land‐use management rapidly and thus prevent severe damages in these sensitive ecosystems. A controlled‐grazing experiment was established in Inner Mongolia (China) in 2005 that included ungrazed (UG) and heavily grazed plots with grazing intensities of 4.5 (HG4.5) and 7.5 (HG7.5) sheep per hectare. Several soil and vegetation parameters were investigated at all sites before the start of the experiment. Topsoil samples were analyzed for soil organic C (SOC), total N (N_tot), total S (S_tot), and bulk density (BD). As vegetation parameters, aboveground net primary productivity (ANPP), tiller density (TD), and leaf‐area index (LAI) were determined. After 3 y of the grazing experiment, BD increased and SOC, N_tot, S_tot, ANPP, and LAI significantly decreased with increasing grazing intensity. These sensitive parameters can be regarded as early‐warning indicators for degradation of semiarid grasslands. Vegetation parameters were, however, more sensitive not only to grazing but also to temporal variation of precipitation between 2006 and 2008. Contrary, soil parameters were primarily affected by grazing and resistant against climatic variations. The assessment of starting conditions in the study area and the application of defined grazing intensities is essential for the investigation of short‐term degradation in semiarid environments.     

Effects of biochar compared to organic and inorganic fertilizers on soil quality and plant growth in a greenhouse experiment

Our contemporary society is struggling with soil degradation due to overuse and climate change. Pre‐Columbian people left behind sustainably fertile soils rich in organic matter and nutrients well known as terra preta (de Indio) by adding charred residues (biochar) together with organic and inorganic wastes such as excrements and household garbage being a model for sustainable agriculture today. This is the reason why new studies on biochar effects on ecosystem services rapidly emerge. Beneficial effects of biochar amendment on plant growth, soil nutrient content, and C storage were repeatedly observed although a number of negative effects were reported, too. In addition, there is no consensus on benefits of biochar when combined with fertilizers. Therefore, the objective of this study was to test whether biochar effects on soil quality and plant growth could be improved by addition of mineral and organic fertilizers. For this purpose, two growth periods of oat (Avena sativa L.) were studied under tropical conditions (26°C and 2600 mm annual rainfall) on an infertile sandy soil in the greenhouse in fivefold replication. Treatments comprised control (only water), mineral fertilizer (111.5 kg N ha^–1, 111.5 kg P ha^–1, and 82.9 kg K ha^–1), compost (5% by weight), biochar (5% by weight), and combinations of biochar (5% by weight) plus mineral fertilizer (111.5 kg N ha^–1, 111.5 kg P ha^–1, and 82.9 kg K ha^–1), and biochar (2.5% by weight) plus compost (2.5% by weight). Pure compost application showed highest yield during the two growth periods, followed by the biochar + compost mixture. biochar addition to mineral fertilizer significantly increased plant growth compared to mineral fertilizer alone. During the second growth period, plant yields were significantly smaller compared to the first growth period. biochar and compost additions significantly increased total organic C content during the two growth periods. Cation‐exchange capacity (CEC) could not be increased upon biochar addition while base saturation (BS) was significantly increased due to ash addition with biochar. On the other hand, compost addition significantly increased CEC. Biochar addition significantly increased soil pH but pH value was generally lower during the second growth period probably due to leaching of base cations. Biochar addition did not reduce ammonium, nitrate, and phosphate leaching during the experiment but it reduced nitrification. The overall plant growth and soil fertility decreased in the order compost > biochar + compost > mineral fertilizer + biochar > mineral fertilizer > control. Further experiments should optimize biochar–organic fertilizer systems.