基于纳米碳添加的减量施肥模式对寒地水稻产量及氮肥效率的影响

为解决减量施肥造成北方寒地水稻肥料供给不足和产量低的问题,以纳米碳增效剂为材料,采用仪器快速检测和植株常规测定分析方法,研究纳米碳添加的常规施肥和减量施肥模式对水稻产量性状和肥料利用效率的影响。结果表明：与常规施肥(CK)相比,纳米碳添加的常规施肥模式(SM-A)、减施氮肥10%(SM-B)和减施氮肥20%(SM-C)对水稻植株形态特征、光合生理特性、产量性状和肥料利用效率产生显著的影响,其中以SM-B增幅最大,SM-A次之,SM-C最小;SM-A、SM-B和SM-C增加经济效益分别为563.56、1374.20和-1391.08元/hm ²,以SM-B增效值最高。本研究表明,SM-B能改善生育期光合生理特性,提高植株产量和肥料利用效率,是寒地水稻较为理想的减量施肥安全利用模式。     

Environmental performances of giant reed (Arundo donax L.) cultivated in fertile and marginal lands: A case study in the Mediterranean

Perennial rhizomatous grasses (PRGs) tend to have a high yield combined with a low environmental impact. Cultivation in marginal or poorly cultivated land is recommended in order not to compromise food security and to overcome land use controversies. However, the environmental impacts of using different types of soil are still unclear. We thus assessed the environmental impact of two giant reed (GR) systems cultivated in a fertile soil (FS) and in a marginal soil (MS) through a cradle-to-plant gate LCA. We analyzed energy balance, GHG emissions (including LUC, not including iLUC), and the main impacts on air, water and soil quality. In both systems the annualized soil carbon sequestration was more than twofold the total GHG emitted, equal to −6464 kg CO₂eq ha⁻¹ in FS and −5757 kg CO₂eq ha⁻¹ in MS. Overall, soil characteristics affected not only GR yield level, but also its environmental impact, which seems to be higher in the MS system both on a hectare and tonne basis. The production of GR biomass in marginal soil could thus lead to higher environmental impacts and a more extensive land requirement.     

干旱区不同降雨模式对藻结皮覆被区土壤碳释放的影响

[目的]探究干旱区不同降雨模式对藻结皮覆被区土壤碳释放的影响,为精确估算干旱区生态系统土壤碳释放量提供科学依据。[方法]以乌兰布和沙漠为例,通过人工增雨和改变降雨频率来模拟全球气候变化,对藻结皮覆被区土壤碳释放量进行长期野外监测。[结果]降雨能够刺激藻结皮覆被区土壤呼吸速率迅速大幅度提升,并在1 h内达到峰值,12 h左右降至较低水平。但随着干湿交替次数的不断增大,土壤再湿润后所产生的呼吸脉冲逐渐减弱,最后1次降雨与第1次相比土壤呼吸峰值降低了40%～60%。在降雨后16 h累积碳释放量、总碳释放量都随着降雨量的增大而增大,但当降雨量增大到一定程度后,其对土壤碳释放量的促进作用不再明显。就单次降雨而言,低频率、大雨量的降雨事件所引起的碳释放量明显高于高频率、小雨量的降雨事件。但总降雨量一致的情况下,则是高频率的小降雨事件所释放的总碳量最高,其次为低频率的大降雨事件,正常降雨频率下最小。[结论]气候变化所引起的降雨量增加和降雨频率的变化将会增加藻结皮覆被区的碳排放量,在预测碳收支时,也应将藻结皮的碳排放量变化作为考虑因素之一。     

Soil organic carbon stock variability in the Northern Gangetic Plains of India: interaction between agro‐ecological characteristics and cropping systems

Soil organic carbon (SOC) content and its spatial distribution in the Northern Gangetic Plain (NGP) Zone of India were determined to establish the cause–effect relationship between agro‐ecological characteristics, prevailing crop management practices and SOC stock. Area Spread Index (ASI) approach was used to collect soil samples from the NGP areas supporting predominant cropping systems. Exponential ordinary kriging was found most suitable geo‐statistical model for developing SOC surface maps of the NGP. Predicted surface maps indicated that 43.7% area of NGP had 0.5–0.6% SOC, while the rest of the area was equally distributed with high (0.61–0.75%) and low (< 0.5%) SOC content levels. Averaged across cropping systems, maximum SOC content was recorded in Bhabar and Tarai Zone (BTZ), followed by Central Plain Zone (CPZ), Mid‐Western Plain Zone (MWPZ), Western Plain Zone (WPZ) and South‐Western Plain Zone (SWPZ) of the NGP. The SOC stock was above the optimum threshold (> 12.5 Mg/ha) in 97.8, 57.6 and 46.4% areas of BTZ, CPZ and MWPZ, respectively. Only 9.8 and 0.4% area of WPZ and SWPZ, respectively, had SOC stock above the threshold value. The variation in SOC stock was attributed largely to carbon addition through recycling of organic sources, cropping systems, tillage intensity, crop or residue cover and land‐use efficiency, nutrient‐use pattern, soil texture and prevailing ecosystem. Adoption of conservation agriculture, balanced use of nutrients, inclusion of legumes in cropping systems and agro‐forestry were suggested for enhancing SOC stock in the region.     

不同基质活性炭对阿特拉津吸附特性研究

为了解决阿特拉津给土壤带来的污染问题以及寻找吸附效果较好的活性炭基质,本研究利用高效液相色谱(HPLC)技术检测了阿特拉津溶液和悬浮液经煤、木、果和竹质4种生物炭处理后的残留量,并对其在阿特拉津溶液和土壤中的吸附动态进行检测。结果表明,煤质活性炭对初始浓度为100 mg/L和10 mg/L的阿特拉津溶液和悬浮液的吸附效果较好,其吸附率为5.651%~68.42%;当阿特拉津初始浓度为100 mg/L时,煤质活性炭在40 min时对阿特拉津溶液的吸附率高达23.49%;与对照组相比,当阿特拉津的初始浓度为100 mg/L时,土壤中阿特拉津经煤质活性炭处理42天后的残留浓度最低,活性炭吸附率达到91.39%。综上,煤质活性炭能有效降解溶液及土壤中阿特拉津含量,这将为阿特拉津污染土壤的改良研究奠定基础。     

川西高山树线交错带海拔梯度上土壤有机碳稳定性特征

高山树线交错带是高海拔地带对环境变化最为敏感的生态系统之一，土壤有机碳库及其稳定性在生态系统变化中具有显著指示作用。通过物理-化学方法对土壤不同活性有机碳进行连续分级分离，研究土壤有机碳不同组分在海拔环境梯度下分布特征及稳定性。结果表明，高山树线交错带土壤有机碳主要集中在物理分级组分（≥0.02 mm），且粒径越大有机碳含量越高，即主要以颗粒态有机碳形式存在，占比均高于98%；在<0.02 mm有机-无机复合体中有机碳采用化学分级分离，这部分有机碳占比低于土壤总有机碳2%，且主要以腐殖质（胡敏素）形式存在（占土壤总有机碳0.6%~0.8%），腐殖质占有机碳比例远低于一般土壤；随着海拔升高，土壤有机碳总量上升，颗粒态有机碳（物理分级组分）比例升高，胡敏素类腐殖质比例下降。因此，川西高海拔树线交错带的高寒土壤有机碳，主要以不稳定有机碳（POC）形式存在，随着温度上升（海拔降低）将导致土壤矿质化和腐殖化加剧，有机碳总量下降，土壤不稳定性组分（物理分级组分）降低，土壤稳定性（腐殖化比例）上升。     

不同原料好氧堆肥过程中碳转化特征及腐殖质组分的变化

为探讨不同畜禽粪便（牛粪和羊粪）为主料，添加不同作物秸秆（玉米秸秆和小麦秸秆）为辅料在堆肥过程中的碳转化特征及腐殖质组分的变化规律，采用条垛式好氧堆肥研究了不同原料组合（T1：牛粪+玉米秸秆；T2：牛粪+小麦秸秆；T3：羊粪+玉米秸秆；T4：羊粪+小麦秸秆）在堆肥过程中总有机碳（TOC）、可溶性有机碳（DOC）和腐殖酸含量的碳转化特征以及胡敏酸（HA）和富里酸（FA）的含量变化规律。结果表明：所有处理的TOC含量随堆肥过程的推进而下降，至堆肥结束时T1~T4处理的TOC含量分别下降了22.1%、21.5%、23.6、23.7%；DOC含量也随堆肥过程的推进而降低，至堆肥第15天时降低至最低，T1~T4处理分别降低至6.57、5.47、4.73 g·kg^-1和4.93 g·kg^-1，但不同处理的变化规律明显不同：以牛粪为主料的T1和T2处理在第10天以前几乎无变化，而以羊粪为主料的T3和T4处理从一开始就迅速下降至最低值，至堆肥第15天时T1~T4处理的降幅分别为32.4%、36.5%、51.8%和39.3%；总腐殖酸(THA)含量的增加始于堆肥的第10天，第15天时达到最高值，最高值分别为25.5%、22.5%、29.8%和30.0%，整个堆肥过程中T3和T4处理显著高于T1和T2处理（P＜0.05）。随堆肥过程的推进，游离腐殖酸(FHA)含量逐渐降低，堆肥结束时降幅为7.6%~18.0%； HA含量逐渐增加，至堆肥结束时增幅为65.4%~197.8%，堆肥过程提高了胡敏酸态碳。T3和T4处理的FHA和HA含量在整个堆肥过程中始终高于牛粪组合T1和T2处理。FA含量随堆肥进程推进逐渐下降，至堆肥结束时降幅为44.9%~54.9%。羊粪中较高含量的纤维素、半纤维素和HA可能是堆肥产品中THA和HA含量较高的主要原因，在以牛粪为主料的堆肥配料中适当加入羊粪可以提高堆肥产品的腐殖酸含量和胡敏酸态碳。     

Organic input quality is more important than its quantity: C turnover coefficients in different cropping systems

Annual C input to soil is a major factor affecting soil organic carbon (SOC) dynamics. However different types of C-sources can have different behaviour, in relation to their chemical characteristics and how they interact with soil. Root-derived C, in particular, should be more efficient than other organic materials as a result of the physicochemical and biological characteristics of the surrounding environment, leading to a reduction in the C decomposition rate.To test this hypothesis, we considered a long-term experiment underway in Northern Italy since 1962, comparing permanent meadow and 6 different crop rotations over a wide range of nutrient inputs, in both organic and inorganic forms. C inputs from amendments were measured and those from crops were calculated using allometric functions and crop and residues yields. The time evolution of SOC was studied through a single-pool, first-order kinetic model, allowing the estimation of humification coefficients for residues, roots, farmyard manure and cattle slurries.The highest value of the humification coefficient was estimated for farmyard manure, which confirmed its high efficiency in stabilising SOC content. Root C presented a humification coefficient 1.9 times higher than above-ground plant materials while slurries were intermediate, with a humification coefficient roughly half that of farmyard manure and even lower that of roots.The quality of C input thus seems of fundamental importance for evaluating the sustainability of different cropping systems in terms of SOC dynamics.     

一种汽车车内一氧化碳监控系统

汽车车内由于CO导致的意外安全事故常常被忽略。汽车发动机和空调在运行过程中产生的CO进入车内,极易被忽视而诱发中毒的事故。利用单片机传感器技术设计一种汽车车内CO浓度监控系统,当车内CO浓度达到200 ppm时系统发出第一次报警,当车内CO浓度达到300 ppm,系统发出第二次报警提示,并开启天窗通风,保证车内人员安全。     

北方草地及农牧交错区草地植被碳储量及其影响因素

【目的】 草地生态系统在全球碳平衡中有重要的意义,草地植被碳库及其变化机制研究是植被生态学的重要命题。本文研究北方草地和农牧交错区草地植被碳密度及其空间格局,解析不同区域草地植被碳密度的关键影响因素,分析了气候、土壤、放牧等因素对地上地下植被碳库的相对贡献。【方法】 基于2002—2009年北方草地及农牧交错带草地植被调查数据,结合同期MODIS/NDVI遥感影像和1﹕100万草地类型图,建立了我国主要草地类型的生物量估算模型;整合野外考察数据和前人研究结果,探讨了研究区地上地下生物碳库及其空间格局;基于研究区255个县级行政单元,分析了不同类型草地植被碳库与气候要素、土壤要素及家畜承载量的关系,应用一般线性模型（GLM）解析了不同影响因素对草地碳密度的相对贡献。【结果】 （1）北方草地与农牧交错区草地地上平均生物碳密度为36.9 g C·m^-2,地下生物碳密度为362.9 g C·m^-2,地下生物碳密度高于地上10倍,均呈从东到西递减的趋势,频率分布图基本服从对数正态分布,不同草地类型的生物碳密度存在明显差异;（2）整个研究区及草原亚区、荒漠亚区、农牧交错亚区内,地上生物量与年降水量（MAP）呈极显著正相关、与年均气温（MAT）均呈极显著负相关,与土壤黏粒含量（Clay%）呈显著正相关、与土壤砂粒含量（Sand%）呈显著负相关,整个研究区家畜承载量与草地地上生物量之间呈极显著正相关;（3）一般线性模型（GLM）分析结果表明,年平均降水量（MAP）、年均气温（MAT）、土壤黏粒含量（Clay%）、放牧强度对地上生物量空间变异的解释率分别达到29.6%（P<0.001）、5.8%（P<0.001）、0.8%（P<0.05）、1.3%（P<0.001）;地下生物量的空间变异主要来自于年降水量（MAP）、年均气温（MAT）、土壤砂粒含量（Sand%）,对方差的解释率分别达到12.1%（P<0.001）、6.8%（P<0.001）、1.9%（P<0.005）,放牧强度没有明显贡献。【结论】 气候条件尤其是年降水量是草地生物量碳库的主要影响因素,但对地上生物量影响更为明显;土壤质地对植被生物碳库也有显著贡献,尤其对地下生物量的影响更加显著;放牧强度只能解释地上生物量变化的1.3%、对地下生物量没有显著贡献,这一发现意味着气候对生物量碳库的贡献远大于放牧影响。