浮尘对冬小麦叶片光合作用及细胞膜透性的影响

我国是浮尘发生频繁的国家。浮尘作为一种灾害性天气不仅直接危害作物,而且通过减少直接辐射,减缓冰雪融化,减少河水流量,改变土壤性质等间接影响作物的生长发育。因此,深入研究浮尘对作物的影响具有重要意义。但目前,国内外的学者主要偏重研究人为粉尘和工业污染物对野生植物及绿化植物的影响,较少关注自然降尘对作物的影响;特别是在长期浮尘胁迫下冬小麦叶片的气孔导度、净光合速率、细胞质膜相对透性等生理指标的变化很少有研究。通过模拟降尘和盆栽试验,研究了拔节期和盛花期的降尘对冬小麦叶片温度（Tleaf）、叶绿素含量（Chl）、游离脯氨酸含量（Pro）、净光合速率（Pn）、气孔导度（Gs）、胞间CO2浓度（Ci）、细胞膜透性的影响（MP）。结果表明,降尘使拔节期和盛花期冬小麦的净光合速率分别下降52%和43.9%,差异均显著（P〈0.05）;降尘还增大细胞膜透性,破坏了冬小麦自身调节系统,使拔节期和盛花期的叶绿素含量分别下降14.4%和20.4%,达到极显著差异（P〈0.01）;降尘还使拔节期叶片的气孔导度下降到对照的26.9%（P〈0.05）,同时叶面温度升高,脯氨酸含量增加38.2%。     

耕作方式对太湖地区冬小麦生长季N_2O排放的影响

采用静态暗箱-气相色谱法对2009年11月至2010年6月冬小麦（Triticum aestivum L.）生长季N2O排放通量进行田间原位观测,研究不同耕作方式（免耕、少耕、传统耕作）对太湖地区稻麦轮作系统麦季土壤N2O排放的影响。结果表明：有植株参与下免耕、少耕和传统耕作的冬小麦生长季N2O平均排放通量分别为63.75μg·m-2·h-1、39.94μg·m-2.h-1和48.83μg·m-2·h-1,无植株参与下分别为73.48μg·m-2·h-1、52.97μg·m-2·h-1和63.60μg·m-2·h-1,麦季N2O排放通量的季节变化与5 cm、10 cm土壤温度呈显著或极显著线性正相关（r=0.400＊～0.654＊＊,n=28）。小麦种植对N2O的排放影响较大,无植株参与的N2O季节总排放量显著高于有植株参与的处理（P〈0.05）;耕作方式显著影响冬小麦农田N2O季节总排放量（P〈0.05）,有植株参与下麦季N2O总排放量少耕较免耕和传统耕作分别减少37.3%和17.9%,无植株参与下分别减少28.0%和16.7%。研究表明太湖地区冬小麦采用少耕措施可减少麦季N2O的排放。     

耕作方式对太湖地区冬小麦生长季N2O排放的影响

采用静态暗箱-气相色谱法对2009年11月至2010年6月冬小麦(Triticum aestivum L.)生长季N2O排放通量进行田间原位观测,研究不同耕作方式(免耕、少耕、传统耕作)对太湖地区稻麦轮作系统麦季土壤N2O排放的影响。结果表明:有植株参与下免耕、少耕和传统耕作的冬小麦生长季N2O平均排放通量分别为63.75μg·m-2·h-1、39.94μg·m-2.h-1和48.83μg·m-2·h-1,无植株参与下分别为73.48μg·m-2·h-1、52.97μg·m-2·h-1和63.60μg·m-2·h-1,麦季N2O排放通量的季节变化与5 cm、10 cm土壤温度呈显著或极显著线性正相关(r=0.400*～0.654**,n=28)。小麦种植对N2O的排放影响较大,无植株参与的N2O季节总排放量显著高于有植株参与的处理(P<0.05);耕作方式显著影响冬小麦农田N2O季节总排放量(P<0.05),有植株参与下麦季N2O总排放量少耕较免耕和传统耕作分别减少37.3%和17.9%,无植株参与下分别减少28.0%和16.7%。研究表明太湖地区冬小麦采用少耕措施可减少麦季N2O的排放。     

基于MODIS数据的河南省冬小麦产量遥感估算模型

小麦是世界上最重要的粮食作物,小麦生产对中国的粮食保障起着十分重要的作用,及时、准确、大范围对小麦产量进行监测预报,对于农学经济发展和粮食政策制定具有极为重要的现实意义。对作物产量进行遥感监测的原理是建立在其遥感特征基础之上的,通过建立作物长势指标与遥感信息的定量关系,可实现对作物产量的监测预报。文章基于2009年MODIS遥感数据和气象数据,利用Arcgis和ENVI提取纯小麦像元,并提取纯小麦像元对应的NDVI、NPP和LAI,获取分县NDVI、NPP和LAI均值,利用统计软件对产量数据和分县遥感参数均值进行数据整理和分析,建立了河南省冬小麦产量估算模型。以往研究多采用遥感图像上某像元和地面调查点进行研究,具有很大的不确定性,文章以县为单位,对冬小麦平均单产和县域内冬小麦种植像元遥感参数的均值进行相关研究,提高了模型模拟精度。同时文章选用多种遥感参数和多项气象因子建立估产模型,避免了针对一个参数进行估产的局限性。在最佳时相的选择上,根据冯美辰（2010）以往的研究结果,从4月以后,5月8日和4月20Et植被指数和产量相关性最大,4月份之前冬小麦处于返青到拔节期,对产量来说还有很多不确定闪素,因此文章选用5月8El和4月20日进行冬小麦估产研究。结果表明,5月8日的估产模型优于4月20日,加入气象冈子的遥感气象估产模型优于只采用遥感参数进行估产的遥感模型。利用2010年产量数据对模型精度进行检验,遥感气象模型预测精度在70．2％N99．7％之间,平均精度为90．7％;遥感模型预测精度在68．1％到95．5％之间,平均精度为83．9％。表明遥感气象模型模拟精度更高,其精度可以满足大面积估产要求,可以对产量预报提供科学参考。     

Development and test of a crop growth model for application within a Global Change decision support system

When examining potential impacts of Global Change on water resources on the regional scale, spatial and temporal changes in crop water and nitrogen demand are of fundamental significance. State-of-the-art crop growth models are powerful tools to assess the response of crops to altered environmental conditions and cultivation practices. In this paper, the process-based, object-oriented and generic DANUBIA crop growth model is presented. To evaluate the performance of the model, a validation analysis is carried out by comparing modelled data with various field measurements of sugar beet, spring barley, maize, winter wheat and potato crops. Model performance statistics show that crop growth is efficiently simulated. The closest agreement between measured and modelled biomass and leaf area index is achieved for sugar beet and winter wheat. Additionally, the response of the model to changed nitrogen availability caused by cultivation practices is analysed and reveals good results. The results suggest that the model is a suitable tool for numerically assessing the consequences of Global Change on biomass production, water and nitrogen demand, taking into account the complex interplay of water, carbon and nitrogen fluxes in agro-ecosystems.     

规模化牛场废水灌溉对土壤水分和冬小麦产量品质的影响

通过田间小区试验,设置不同的牛场废水灌溉次数,研究了冬小麦牛场废水灌溉过程中土壤水分和冬小麦产量品质的变化特征,结果表明,灌溉牛场废水土壤水分迁移和土壤贮水量与灌溉清水无显著差别,水质对土壤水分变化影响很小;冬小麦生育期内分别灌溉牛场废水2、3和4次与正常施肥灌溉施肥相比,冬小麦产量和灌溉水生产效率提高,分别提高了4.61%、6.48%、6.63%,4次牛场废水灌溉冬小麦产量略有下降,这说明灌溉牛场废水次数过多会对冬小麦造成一定的负面影响;牛场废水灌溉次数越多冬小麦籽粒中蛋白质质量分数越高,分别提高了2.50%、5.83%、8.03%,而全磷质量分数则有降低趋势。综合考虑,冬小麦生育期内牛场废水灌溉次数不应高于3次。     

天津市典型污灌区冬小麦各生育期的重金属分析

通过对天津市冬小麦生长的各个阶段的各个部位及土壤中重金属含量的分析,评价了污灌区农田土壤-植被系统的污染状况,运用转运系数和富集系数表征了重金属元素在作物中迁移和积累的能力.结果表明,冬小麦田土壤质量属2级尚清洁标准,土壤中Cd污染最严重,Hg污染次之.返青期、拔节期、抽穗期和成熟期,同一时期冬小麦不同部位的重金属含量整体呈现自下至上递减的趋势,即根>茎>叶>果实,而同一部位冬小麦的不同时期的重金属含量各有特点.从转运系数和富集系数上看,根富集重金属的能力要大于茎、叶和果实;重金属由土壤向根迁移的过程中,迁移能力顺序为:Pb>Cd>Hg>Cr>As,Pb迁移能力最强.冬小麦果实中As,Cd,Cr,Hg,Pb和Se含量均超过《食品中污染物限量》中规定的限值,说明研究区域目前已经不宜再种植冬小麦.     

地表臭氧浓度升高对冬小麦和大豆生长和产量的影响

我国近地层臭氧污染日趋严重,其不断增加的浓度对农作物的生长造成了严重威胁。以冬小麦和大豆为研究对象,基于大田开顶式气室(OTC)试验,分别设置对照(CK)、100 n L·L~(-1)和150 n L·L~(-1)这3个O3浓度处理组,对2种作物生长指标和产量等参数连续观测,结果表明:O3浓度增加对冬小麦和大豆的株高、叶面积和生物量产生影响,并且对大豆的影响更为明显。与此同时,O3浓度增加使得冬小麦的穗重、穗粒数以及大豆的单株荚数、单株粒数、单株粒重都呈现大幅度下降状态,进而导致其产量降低。在100 n L·L~(-1)臭氧处理下,冬小麦产量较CK降低了12.89%,而大豆产量下降了23.76%。在150 n L·L~(-1)的臭氧处理下,冬小麦产量较对照组降低了29.23%,大豆则比对照组下降了41.57%,与CK相比,大豆产量下降更为明显。上述研究表明,臭氧污染对农作物的生长具有显著影响,且大豆对O3的反应比冬小麦敏感。     

O3浓度升高对不同生长期冬小麦叶片抗氧化系统的影响

由于人口的快速增长,人类活动导致近地层O3浓度不断提高,O3浓度升高将对植物、动物和人体健康产生极大的危害.采用开顶式气室(OTC)原位实验方法,研究O3浓度升高对不同生长期冬小麦叶片抗氧化系统的影响,进而分析O3对植物的伤害机制.结果表明,O3浓度升高可导致冬小麦拔节期和抽穗期叶片超氧化物歧化酶(SOD)、过氧化物酶...     

Using social network analysis tools in ecology: Markov process transition models applied to the seasonal trophic network dynamics of the Chesapeake Bay

Ecosystem components interact in complex ways and change over time due to a variety of both internal and external influences (climate change, season cycles, human impacts). Such processes need to be modeled dynamically using appropriate statistical methods for assessing change in network structure. Here we use visualizations and statistical models of network dynamics to understand seasonal changes in the trophic network model described by Baird and Ulanowicz [Baird, D., Ulanowicz, R.E., 1989. Seasonal dynamics of the Chesapeake Bay ecosystem. Ecol. Monogr. 501 (59), 329–364] for the Chesapeake Bay (USA). Visualizations of carbon flow networks were created for each season by using a network graphic analysis tool (NETDRAW). The structural relations of the pelagic and benthic compartments (nodes) in each seasonal network were displayed in a two-dimensional space using spring-embedder analyses with nodes color-coded for habitat associations (benthic or pelagic). The most complex network was summer, when pelagic species such as sea nettles, larval fishes, and carnivorous fishes immigrate into Chesapeake Bay and consume prey largely from the plankton and to some extent the benthos. Winter was the simplest of the seasonal networks, and exhibited the highest ascendency, with fewest nodes present and with most of the flows shifting to the benthic bacteria and sediment POC compartments. This shift in system complexity corresponds with a shift from a pelagic- to benthic-dominated system over the seasonal cycle, suggesting that winter is a mostly closed system, relying on internal cycling rather than external input. Network visualization tools are useful in assessing temporal and spatial changes in food web networks, which can be explored for patterns that can be tested using statistical approaches. A simulation-based continuous-time Markov Chain model called SIENA was used to determine the dynamic structural changes in the trophic network across phases of the annual cycle in a statistical as opposed to a visual assessment. There was a significant decrease in outdegree (prey nodes with reduced link density) and an increase in the number of transitive triples (a triad in which i chooses j and h, and j also chooses h, mostly connected via the non-living detritus nodes in position i), suggesting the Chesapeake Bay is a simpler, but structurally more efficient, ecosystem in the winter than in the summer. As in the visual analysis, this shift in system complexity corresponds with a shift from a pelagic to a more benthic-dominated system from summer to winter. Both the SIENA model and the visualization in NETDRAW support the conclusions of Baird and Ulanowicz [Baird, D., Ulanowicz, R.E., 1989. Seasonal dynamics of the Chesapeake Bay ecosystem. Ecol. Monogr. 501 (59), 329–364] that there was an increase in the Chesapeake Bay ecosystem's ascendancy in the winter. We explain such reduced complexity in winter as a system response to lowered temperature and decreased solar energy input, which causes a decline in the production of new carbon, forcing nodes to go extinct; this causes a change in the structure of the system, making it simpler and more efficient than in summer. It appears that the seasonal dynamics of the trophic structure of Chesapeake Bay can be modeled effectively using the SIENA statistical model for network change.     

Applying the Patuxent Landscape Unit Model to human dominated ecosystems: the case of agriculture

Non-spatial dynamics are core to landscape simulations. Unit models simulate system interactions aggregated within one space unit of resolution used within a spatial model. For unit models to be applicable to spatial simulations they have to be formulated in a general enough way to simulate all habitat elements within the landscape. Within the Patuxent River watershed, human dominated land uses, such as agriculture and urban land, are already 50% of the current land use, while urban land is replacing forests, agriculture and wetlands at a rapid rate. The Patuxent Landscape Model (PLM) with the Patuxent General Unit Model as core (Pat-GEM) was developed as a predictive policy tool to estimate environmental impacts of such land use changes. The Pat-GEM is based on the General Ecosystem Model (GEM) developed by [Ecol. Modelling 88 1996 263]. Previous calibrations of the Pat-GEM for anthropogenic land uses have not been satisfactory due to the scarcity of appropriate data. This paper shows Pat-GEM simulations of biomass growth and nutrient uptake for crops typical within the Patuxent watershed. The Pat-GEM was expanded to include processes and fluxes that characterize agricultural land use. The most important extension was to include crop rotation into the model. Additionally, we refined the processes for planting, harvesting and fertilization by introducing specific growth parameters. Our revised Pat-GEM was calibrated against the results from Erosion Productivity Impact Calculator (EPIC) a widely used and calibrated agricultural model. We achieved high correlation between results generated with Pat-GEM and EPIC. The correlation coefficients (r²) varied between 0.87 and 0.98, with the simulation results for winter wheat showing the lowest correlation coefficients. Intercalibration using EPIC is a powerful method for calibrating the Pat-GEM model for agricultural land use. EPIC was able (a) to provide about 30% of the input data required for running the Pat-GEM model; and (b) to provide time series output data (with a daily time step) to calibrate the output variables biomass production and nutrient uptake.     

基于PCA-TOPSIS方法的河北省冬小麦气候适宜性评价

应用基于PCA-TOPSIS(principal component analysis-technique for order preference by similarity to ideal solution)方法对河北省冬小麦的热量和水分气候资源进行了评价和区划.结果表明,根据冬小麦种植的气候适宜性可将河北省大致分为4个区:河北省南部为最适宜区,水、热资源配合较好;其次为中部和环渤海地区,水、热资源相对不平衡,一定程度上制约了冬小麦的生长发育;再次为东北部地区,水分资源尚可,但热量资源匮乏;最后为北部和西北部地区,水、热资源都较差,最不适宜冬小麦的生长发育.     

Response of non-enzymatic antioxidative mechanisms to stress caused by infection with Fusarium fungi and chemical protection in different wheat genotypes

The aim of this study was to assess the effect of infection with Fusarium fungi and chemical protection on the contents of phenolic acids and antioxidative potential of extracts from grains of 23 wheat genotypes. Based on chemical analyses including abiotic factors such as weather conditions and the location of the plantation, the authors attempted to clarify non-enzymatic antioxidative response mechanisms to two different stressors in 23 wheat genotypes. Based on chemical analysis, it was found that mass infection with fungi from the genus Fusarium induces defence mechanisms of the plant, which results in an increased production of phenolic acids, mainly those, which are substrates for the production of acids exhibiting antimicrobial action. This mechanism is confirmed by the analyses of antioxidant activity, which also increases significantly during fungal infection, connected with the production of mycotoxins. In the course of chemical plant protection, significant changes were observed in the production of phenolic acids. Even if antioxidant activity was not higher in comparison to the control, an increased production of certain phenolic acids was recorded, which suggests stimulation of the resistance system of the plant, at a simultaneous complete response of antioxidative mechanisms, as it takes place during fungal infection.     

崇明岛典型土地利用方式对土壤有机碳和酶活性的影响

为了研究上海崇明岛不同土地利用方式对土壤有机碳以及酶活性的影响,对冬小麦地、蔬菜地、柑桔地和冬绿肥地4种土地利用方式的土壤进行了调查、样品测定和分析。结果表明,土地利用方式对有机碳和4种酶活性的影响极显著。冬小麦地总有机碳和活性有机碳质量分数均最高,分别为19.23g·kg^-1和2.26mg·g^-1,柑桔地土壤脲酶、碱性磷酸酶、纤维素酶和蛋白酶等4种酶活性均高于其他3种土地利用方式,表明采用秸秆还田式的冬小麦地,可以增加土壤总有机碳和活性有机碳质量分数;常年处于免耕状态的柑桔地可以使土壤酶活性增强。     

深耘断根对旱地小麦花后根系衰老及产量的影响

在旱地大田条件下研究了深耘断根对旱地高产小麦花后根系衰老及产量的影响。结果表明，４个处理中以冬前深耘断根最好，起身期深耘断根与对照（不断根）次之，冬前和起身期都深耘断根的效果最差。冬前深耘断根可延迟花后根系活力、根系ＳＯＤ与ＣＡＴ活性、根系可溶性蛋白质含量下降及根系ＭＤＡ含量的升高，从而延迟根系衰老。同时，冬前深耕提高了成穗数及成穗率，使产量提高，因而在旱地高产麦田应提倡冬前深耘断根。图５表１参１     

Life cycle assessment of the winter wheat-summer maize production system on the North China Plain

A life cycle assessment (LCA) method was used to examine the environmental impact of the winter wheat-summer maize production system on the North China Plain. The LCA considered the entire system required to produce 1 ton each of winter wheat and summer maize. The analysis included raw material extraction and transportation, agrochemical production and transportation, and arable farming in the field. First, all emissions and resource consumption connected to the different processes were listed in a life cycle inventory (LCI) and related to a common unit (1 ton of grain). Subsequently, a life cycle impact assessment (LCIA) was conducted, in which the inventory data were aggregated into indicators for environmental effects, including energy depletion, climate change, acidification, aquatic eutrophication, human toxicity, aquatic and terrestrial ecotoxicity. For winter wheat systems, energy depletion and acidification were the most relevant environmental impacts, and energy depletion and aquatic eutrophication were the primary concerns for summer maize systems. The results revealed that the most important source of environmental impact in the winter wheat-summer maize production system in Huantai County was the production and application of nitrogen fertilisers. The environmental impacts of winter wheat were much stronger than those of summer maize due to higher inputs and lower use efficiency of agrochemicals.     

高产田养分平衡及其环境风险特征研究

选择连续四年产量20000kg·hm-2以上的高产田为研究对象,并以当地常规农田为对照,分析了秸秆还田条件下冬小麦-夏玉米高产轮作体系中养分平衡及环境风险特征。结果表明,高产田和常规农田的氮、磷、钾素在冬小麦-夏玉米轮作体系中都有盈余,分别盈余130和202、122和162、315和119kg·hm-2。高产田氮素和磷素的盈余量小于常规农田,钾素盈余量高于常规农田。在冬小麦-夏玉米轮作体系的各生育期,高产田0～100cm土体硝态氮均存在大量累积,小麦季大于玉米季,高产田大于常规农田,存在较高的淋溶风险。土壤电导率均小于土壤盐渍化的临界值,尚未出现土壤盐渍化的现象。     

内蒙古乌梁素海水质时空分布特征

将地质统计学理论与地理信息系统相结合对乌梁素海富营养化指标、有机污染指标和盐化污染指标进行了kriging空间插值,结果表明：从时间角度分析,冬季总氮浓度、总磷浓度、化学需氧量质量浓度明显高于其他季节;叶绿素a质量浓度浓度冬季最低;时空电导率平均值在4.0 ms.cm-1左右波动。从空间角度分析,总氮浓度、总磷浓度、叶绿素a质量浓度呈现出由北向南递减的趋势;夏秋季化学需氧量空间分布与春冬季节相反;冬季电导率空间分布与其他季节明显不同。从浓度大小分析,乌梁素海复合污染已十分严重。     

Teil II: Stoffstromnetze für Fruchtfolgen

The general results of material flow analyses for agricultural farms presented in Part I are now specified for three farms in Lower Saxony. For this, the existing material flow net for winter wheat is extended by the crops of winter barley, winter rye, summer barley, rape, sugar beets and potatoes. The assessment is essentially done regarding the impact categories of resource depletion, cumulated energy demand (CED) and emissions to atmosphere. Besides the assessment of single farms or crops, also the comparison, of different agricultural production systems is possible, whereby the choice of the functional unit and the basis of comparison (with reference to input or output) is of major importance. Additionally, as for agricultural means of production, the material flows and emissions resulting from the provision of carbolime — an often employed carbonate fertiliser as for sugar-beet cultivation — are derived completely within this article. Furthermore, sensitivity analyses on the subject of detail intensity of agricultural basic data are presented for the example of machine employment. The material flow nets are regarded as transferable to other farms with similar crop rotation systems, with an appropriate expenditure of information gathering and parameterisation. The complete net can be used as a module within further investigations, e.g. of the industrial processing of food, as a pre-production chain for agricultural resources being part of the production process (winter wheat — mill, brewing barley — brewery, sugar beets — sugar-factory).     

根修剪对冬小麦根系效率、水分利用及产量的影响

通过盆栽试验研究了根修剪对冬小麦根系效率、水分利用及产量形成的影响.结果表明,在不同水分条件下,根修剪均减少了小麦的根量及根呼吸速率,但对根冠比没有显著影响.在湿润和中度干旱条件下,根修剪提高了小麦花期的光合速率和根系效率;在严重干旱胁迫条件下,根修剪小麦的光合速率显著下降,但根系效率与对照相比没有显著差异.在湿润条件下,小剪根处理对籽粒产量并没有显著的影响,而大剪根处理小麦的籽粒产量显著下降;在中度干旱胁迫条件下,小剪根处理小麦的产量(25.18 g pot-1)显著高于对照(22.31 g par-1),但大剪根处理小麦的产量(18.34 g pot-1)显著下降;在严重干旱条件下,两个剪根处理小麦的产量均显著下降.在湿润和中度干旱胁迫条件下,小剪根处理籽粒产量水平的水分利用效率(分别为1.57 g kg-1和1.85 g kg-1)显著大于相应的对照处理(分别为1.46 g kg-1和1.55 g kg-1),但大剪根处理水分利用效率和对照相比没有显著差异;在严重干旱条件下,各剪根处理的水分利用效率和对照相比没有显著差异.可见,在湿润和中度干旱条件下进行的适当根修剪根对作物生产是有利的.图1表3参15