Evidence of sedimentation inequality along riparian areas colonised by Impatiens glandulifera (Himalayan balsam)

Soil loss from riparian areas supporting the annual invasive weed, Impatiens glandulifera (Himalayan balsam), was measured and compared with equivalent values recorded at nearby, topographically similar areas supporting perennial vegetation over a cumulative seven-year period, along sections of two separate river systems; one in Switzerland, and one in the UK. Soil loss from colonised locations was significantly greater than from reference locations in four of the seven measurement periods. Despite contrasting results, standard deviations, based on soil losses and gains, were predominantly higher for colonised areas at both rivers over most monitoring periods. These findings indicated that areas colonised by Himalayan balsam experience higher sediment flux in comparison with areas free of invasion. Here, we test those original interpretations by reinterrogating the datasets using a more robust analysis of inequality. Nine datasets were tested, five of which (i.e. 56%) showed that sediment flux was significantly greater at Himalayan balsam-invaded areas than at reference areas. Three datasets showed no difference in sediment flux between invaded and reference areas (33%), and one (11%) showed higher sediment flux at reference areas. Most results uphold our original interpretations and support our hypothesis that hydrochory probably dictates where colonisation initially occurs, by depositing Himalayan balsam seeds in slack or depressional areas along river margins. Once Himalayan balsam becomes established and sufficient perennial vegetation is displaced, seasonal die-off and depleted vegetation cover may increase the risk that some areas will experience significantly higher sediment flux.     

基于多时相双极化SAR数据的作物种植面积提取

及时准确地获取农作物的空间分布信息和种植面积,在农业生产管理与农业政策的制定等斱面具有非常重要的作用。本文以多时相Sentinel-1A影像(4月17日、5月5日、6月16日、7月22日、8月27日、9月2日)为主要数据源,根据研究区作物的物候特征,提取棉花、玉米和果树在不同生长期的后向散射系数(Sigma)和归一化后向散射系数(Gamma)。通过对作物不同极化、不同时相后向散射系数的统计,建立散射特征时序变化曲线,幵分析其特征。利用人工神经网络(Artificial neural network)、支持向量机(Support vector machine)和随机森林(Random forest) 3种分类斱法对研究区的主要农作物迚行分类识别以及种植面积提取,幵对分类结果对比分析和验证。结果表明, 1)棉花的后向散射系数在6月现蕾期和7月开花期明显上升,8月仹达最高值,变化特征最明显,易与其他作物区分;玉米和果树的后向散射系数在9月仹与其他地物之间表现出显著差异。2)相较于神经网络和支持向量机,随机森林的分类效果最好,总体精度达88.97%。其中,对棉花和果园的分类精度为90.88%和93.17%,对玉米的分类效果最差,仅有71.6%。综上所述,多时相双极化SAR数据在不同类型作物的识别及面积提取斱面具有一定的应用潜力。     

用遥感影像提取大别山区水稻种植面积——以Landsat 8为例

本研究选取安徽省安庆市大别山为研究区,包括太湖县、岳西县、宿松县和潜山县,选取2016年和2017年的6景Landsat 8卫星遥感影像,通过遥感影像提取水稻种植面积,分析大别山区的水稻种植面积分布,并对研究区域的水稻种植面积进行动态实时监测。用遥感解译方法分别提取了研究区内的晚稻种植面积,并利用随机点验证和Kappa系数验证结果精度。结果表明:2017年和2016年水稻种植面积的提取精度分别为93.44%、93.78%,Kappa系数分别为0.86、0.83,证明水稻提取效果精确;对比研究区域各个县内的2017年和2016年晚稻种植面积,发现安庆市大别山区太湖县、潜山县、岳西县的水稻种植面积变化率均在5%以内,属于正常变化,由于2016年宿松县遭遇了水灾,部分农田被淹没,故宿松县2017年水稻种植面积相比2016年增加了13.01%;对比传统的农作物种植面积统计方法,利用遥感的方法更省人力、物力、财力,并且能精确、快速地实现对农作物的实时动态监测。     

31份枇杷种质资源果实的蛋白质营养评价

利用化学评分(CS)、氨基酸评分(AAS)、必需氨基酸指数(EAAI)、氨基酸比值系数分(SRC)等4种非生物学评价法对31份枇杷种质资源的果实蛋白质营养价值进行评价。结果表明:含硫氨基酸(甲硫氨酸和胱氨酸)为第一限制氨基酸;不同的评价方法结果有所差异,CS的范围为8.36~21.46;AAS的范围为9.87~23.1;EAAI的范围为42.83~65.68;SRC的范围为54.90~63.20,31份种质的SRC均在50以上,有16份超过60;枇杷果实蛋白质具有较高的营养价值,红肉种质的CS、AAS、SRC显著高于白肉种质,而两者的EAAI差异不显著;野生种质的EAAI极显著高于栽培种质,CS、AAS、SRC差异不显著,不同来源地的种质之间CS、AAS、EAAI、SRC差异均不显著;类平均法欧氏距离通过聚类分析将31份种质分为3类。     

带常利率和相依结构更新风险模型的破产概率

研究了一类具有常利率及相依结构的Sparre Andersen模型, 模型中假设理赔间隔时间决定下一次理赔额的分布情况. 对一般分布情形, 利用推广后的调节系数方程与递归更新技巧, 得到了此模型的最终破产概率上界的估计. 最后以理赔额和理赔间隔时间都服从指数分布的情况下的实例分析来说明该模型的有效性.     

儒商与企业伦理

为了统计和分析一个国家和地区的收入分配情况，经济学界往往通过入户调查获得家庭收入与消费等数据，采用洛伦兹曲线模型来进行数据拟合.洛伦兹曲线模型拟合效果的好坏，直接影响着收入分配的描述.本文构建了一类凹凸组合的洛伦兹曲线模型，并针对19个国家的收入分配数据进行了实证分析.结果显示该模型具有较好的拟合效果，其基尼系数能较好地描述收入分配现状，对反映和监测居民之间的贫富差距具有重要意义.     

蔬菜高效水肥一体化灌溉技术的实践与发展建议

水肥管理是直接影响蔬菜稳产高产和品质提升的关键因素。总结了我国蔬菜高效灌溉的4种主要模式,介绍了不同种类蔬菜的高效灌溉模式,分析了我国蔬菜高效水肥一体化灌溉技术存在的问题,并提出了发展建议。     

杉木老龄林群落的种-多度关系研究

以杉木老龄林群落为研究对象,结合对数级数和对数正态分布模型,建立3 600 m2的大样地分析杉木老龄林群落的种-多度关系。结果表明:样方的平均物种数和个体数分别为6.86种和35.75株,各样方的物种数及个体数存在极显著正相关关系,说明杉木老龄林群落中生境空间对物种个体的承载能力,还未限制其物种数量。个体数-种序(p>0.05)和频度-种序(p>0.05)的分布曲线均符合对数级数分布;对数正态分布模型则能够较好拟合个体数-种序(p>0.05)的分布曲线,但频度-种序(p<0.05)的分布曲线则不适合用该模型来解释。随着尺度的增加,物种数和个体数的变异系数、二者间的相关性及物种数的方差逐步下降,个体数的方差却呈上升的趋势。     

涂饰工艺对木质体育地板表面滑动摩擦系数的影响研究

采用正交试验法,研究涂饰工艺对木质体育地板表面滑动摩擦系数的影响,试验因素为面漆涂饰次数、涂料种类和面板砂光目数,试验测试指标为表面滑动摩擦系数。方差分析结果表明,涂料种类与测试指标呈极为显著的影响关系,水性面漆涂饰的试件表面滑动摩擦系数相对较高;其他2个因素与测试指标之间无显著影响关系。砂光目数极可能对表面滑动摩擦系数有一定影响,但这一影响关系被底漆涂饰工艺所覆盖,因此所有试件的表面滑动摩擦系数全部达到了国家标准的要求。     

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.