科尔沁沙地沙漠化过程中土壤有机碳和全氮含量变化

通过地面调查,研究了沙漠化对科尔沁沙地农田和草地土壤有机碳和全氮含量的影响.结果表明,随着沙漠化的发展,科尔沁沙地土壤碳、氮含量明显下降.和非沙漠化农田相比,轻度、中度、重度和严重沙漠化农田土壤有机碳和全氮含量分别下降12.3%和15.3%、22.2%和24.7%、39.5%和44.7%、64.4%和63.5%;和非沙漠化草地相比,轻度、中度、重度和严重沙漠化草地土壤有机碳和全氮含量分别下降了56.3%和48.7%、78.4%和74.4%、88.9%和84.6%、91.6%和84.6%.截至2000年,科尔沁沙漠化总面积已经达到50197.5 km2,由于沙漠化而导致的土壤有机碳和全氮损失总量分别为36.39 Mt和7.89 Mt,其中草地分别占91.12%和86.06%,农田分别占8.88%和13.94%.相关分析结果表明,土壤有机碳和全氮的损失主要源于风蚀所引起的土壤粘粉粒的减少.因此,在科尔沁沙地,防治土壤风蚀对于减少农田和草地土壤碳、氮损失极为重要.     

兜兰DEFICIENS(DEF)-和GLOBOSA(GLO)-like基因的克隆及表达分析

以‘同色兜兰’品种为材料,采用RT-PCR和RACE技术获得了DEFICIENS(DEF)-和GLOBOSA(GLO)-like基因的cDNA全长,命名为PcDEF和PcGLO,并用半定量RT-PCR和实时PCR研究了PcDEF和PcGLO在花芽发育过程和不同组织部位的表达特性。结果表明,PcDEF和PcGLO的全长cDNA分别为1 039bp和934bp,分别编码224和210个氨基酸;蛋白比对表明,PcDEF和PcGLO蛋白都具有典型MADS-box蛋白的MADS和K结构域;蛋白同源性分析显示,PcDEF和PcGLO与已登录的其它兰科植物的DEF/AP3和GLO/PI蛋白的相似性分别在75%～96%和87%～98%;系统进化树分析表明,PcDEF和PcGLO分别属于B类MADS-box蛋白家族的AP3和PI亚家族。表达分析显示,PcDEF和PcGLO在花芽发育中均有表达,PcDEF在成熟花、唇瓣和花瓣中的表达量高,在蕊柱、萼片、苞叶和根中次之,在花茎和叶中较低,在子房中几乎不表达;PcGLO在各组织中均有不同丰度的表达。     

贵州蔬菜资源的民族传统文化初步调查

贵州是我国少数民族聚集区,蔬菜资源多样性十分丰富。然而,近些年来随着经济发展,外来文化的渗透,该地区正经历着较大的变迁,少数民族蔬菜资源和传统文化正在逐步消失。为了保护和发扬少数民族的传统文化和蔬菜资源,对该地区的15个县和9个民族进行了系统的蔬菜资源和文化调查,旨在为国家保护和发扬少数民族传统文化,制定蔬菜资源保护政策和科学研究提供基础数据和研究材料。     

黄土高原小流域土壤pH、阳离子交换量和有机质分布特征

通过野外调查采样和室内分析,研究了黄土高原小流域土壤pH、阳离子交换量（cation exchange capacity,CEC）和有机质的分布特征及其与土地利用方式、地形条件和土壤类型的关系.结果表明：黄土高原小流域土壤pH、CEC和有机质分别介于7.7～8.6、11.9～28.7 cmol·kg^-1和3.0～27.9 g·kg^-1,分别服从正态分布、对数正态分布和负二项分布.3种土壤性质随地形、土地利用方式和土壤类型的不同差异很大.不同土地利用方式下,土壤有机质和CEC以林地、草地和农田较高,果园较低;pH则以林地较低,其他利用方式较高;不同地形条件下,3种土壤性质均呈塬面和坡地大于沟道和梯田的趋势;不同类型土壤中,有机质和CEC以黑垆土和红土较高,pH则以黄绵土较高.整体上,土壤有机质和CEC呈现出相似的变化趋势,而pH的分布特征则与之相反.     

中国兽类行为学和行为生态学研究进展与展望

行为学与行为生态学通常研究动物的行为特征、行为方式和行为机制,以及适应环境变化而采取的行为策略。本文回顾了我国近40年来主要哺乳动物行为学和行为生态学的研究进展,发现随着近20年来新技术和新方法的广泛应用,野外数据收集和实验设计更加科学有效,产生出很多有代表性和创新性的成果,标志着我国在这一领域研究取得了长足的进步和发展。其中大熊猫的行为生态研究已处于国际领先水平,啮齿类的种间互作关系和行为适应机制研究、灵长类的社会行为和觅食行为生态研究以及蝙蝠的回声定位行为研究等已达到国际水平,然而关于食肉目、有蹄类和海兽类的行为生态学研究相对较少。随着国家对基础学科研究重视不断提升,更多高水平研究基地的建设和科研人才队伍的壮大,以及交叉学科和先进信息技术的应用,将助力我国行为学和行为生态学未来研究蓬勃发展。     

鲎素的抗菌靶点初探

采用体外抑菌法测定鲎素的抑菌动力学特点,钼酸铵比色法和紫外吸收法分别检测细菌与鲎素共同孵育前后无机磷和大分子泄漏情况,扫描电镜和透射电镜观察细菌与鲎素共同孵育前后细菌形态和结构的变化,紫外吸收法和凝胶电泳法分别观察鲎素对细菌基因组DNA和质粒DNA结构的影响,质粒转化实验检测鲎素对质粒DNA复制和转录功能的影响.结果表明,鲎素对革兰氏阳性菌和阴性菌具有不同的抑菌动力学特点,经鲎素处理的细菌,胞内无机磷和大分子泄漏显著,细胞壁膜和菌体遭到不同程度的破坏,鲎素可与细菌基因组DNA和质粒DNA结合,高浓度鲎素有可能使DNA发生断裂,进而使质粒DNA复制和转录功能受到抑制.上述结果提示,鲎素的抗菌靶点至少包括细胞壁膜和菌体DNA.     

可持续农业的全球化

在当前西方中心主义的语境下,主流和非主流的话语和被呈现的实践,主要来自西方,难得有处于外围的实践经验得到充分呈现、阐释和尊重。《赛罗庞塔-林区农民的自豪》一文呈现了外围社区的实践,给了我们更多的阅读自由和思想自由。正如资本和压制的全球化在蔓延一样,劳动和抵抗的全球化也在蔓延。在可持续农业和农村发展领域,也是这样。     

城市生态景观建设的指导原则和评价指标

在人口膨胀和快速城市化的全球化背景下,构建人与自然和谐的生态景观是城市景观规划和设计的基本美学观和价值观.缺乏统一的指导原则和评价标准使得城市生态景观建设出现了很多问题,也限制了生态景观的进一步推广和实践.基于文献调研和专家咨询的方式,归纳了城市生态景观的基本内涵和指导原则,并提出了针对性的评价指标.通过问卷调查的方式,获取了170余份有效问卷,据此分析公众对城市生态景观的理解和需求.可以依据该结果为城市生态景观的定量评价提供初步的权重值,为进一步完善生态景观建设的理论和方法提供了参考和依据.     

肌动蛋白存在于蚕豆细胞核和染色体中

以兔抗肌动蛋白抗体为一抗,FTTC偶联的羊抗兔IgG抗体为二抗进行间接免疫荧光实验,观察到蚕豆(Vicia faba L.)根端分生组织中完整的细胞核和染色体均有明亮荧光。用抗肌动蛋白抗体和蛋白A-胶体金进行标记的免疫电镜实验结果表明,金颗粒分布在蚕豆细胞核中,集缩染色质和核仁中金颗粒较多。经DNaseI消化和2 mol/L NaCl处理得到去除DNA和组蛋白的细胞核和染色体。免疫荧光实验结果指出,去除DNA和组蛋白的细胞核和染色体与抗肌动蛋白抗体呈阳性反应。上述结果说明,肌动蛋白不仅存在于完整的蚕豆细胞核和染色体中,而且存在于去除DNA和组蛋白的蚕豆细胞核和染色体中。另外,用抗原肌球蛋白抗体所做的免疫荧光标记结果表明,原肌球蛋白也存在于蚕豆细胞核和染色体中。对高等植物细胞核和染色体以及核骨架和染色体骨架是否含有肌动蛋白等问题进行了讨论。     

生物教学中培养学生思维能力

为使学生灵活运用生物学知识,分析和解决实际问题,在教学过程中,只有正确运用分析和综合,对照和比较,抽象和概括,判断和推理等思维方法来阐述教学内容,才能因势利导,促进学生思维能力的发展,才能形成学生思想的广阔性,深刻性和灵活性,从而提高学生的智能,全面提升教学质量。     

计算机视觉技术在昆虫识别中的应用进展

介绍计算机视觉技术的定义,组成系统和发展状况,总结其在昆虫识别中的应用,指出目前存在的问题以及需要重点解决的关键技术．为今后的深入研究提出了一些建议和方向。     

计算机视觉在植物显微结构观测中的应用

植物显微结构计算机视觉技术的研究已得到人们的重视,本文综述了计算机视觉在植物显微结构中几个重要方面的研究进展,包括计算机视觉的形成和发展,计算机视觉在植物显微结构中的应用和目前植物显微结构计算机视觉系统的组成和原理。     

计算机视觉在植物显微结构观测中的应用

植物显微结构计算机视觉技术的研究已得到人们的重视 ,本文综述了计算机视觉在植物显微结构中几个重要方面的研究进展 ,包括计算机视觉的形成和发展 ,计算机视觉在植物显微结构中的应用和目前植物显微结构计算机视觉系统的组成和原理。     

A computer vision based method for 3D posture estimation of symmetrical lifting

Work-related musculoskeletal disorders (WMSD) are commonly observed among the workers involved in material handling tasks such as lifting. To improve work place safety, it is necessary to assess musculoskeletal and biomechanical risk exposures associated with these tasks. Such an assessment has been mainly conducted using surface marker-based methods, which is time consuming and tedious. During the past decade, computer vision based pose estimation techniques have gained an increasing interest and may be a viable alternative for surface marker-based human movement analysis. The aim of this study is to develop and validate a computer vision based marker-less motion capture method to assess 3D joint kinematics of lifting tasks. Twelve subjects performing three types of symmetrical lifting tasks were filmed from two views using optical cameras. The joints kinematics were calculated by the proposed computer vision based motion capture method as well as a surface marker-based motion capture method. The joint kinematics estimated from the computer vision based method were practically comparable to the joint kinematics obtained by the surface marker-based method. The mean and standard deviation of the difference between the joint angles estimated by the computer vision based method and these obtained by the surface marker-based method was 2.31 ± 4.00°. One potential application of the proposed computer vision based marker-less method is to noninvasively assess 3D joint kinematics of industrial tasks such as lifting.     

Real-time unconstrained object recognition: a processing pipeline based on the mammalian visual system

The mammalian visual system is still the gold standard for recognition accuracy, flexibility, efficiency, and speed. Ongoing advances in our understanding of function and mechanisms in the visual system can now be leveraged to pursue the design of computer vision architectures that will revolutionize the state of the art in computer vision.     

Visual textures, machine vision and animal camouflage

The psychophysics of visual texture perception and texture discrimination have been investigated extensively during the past 30 years. Humans have been the main study subjects, but some research on texture perception has involved other species, and there is good reason to think that the most general results from humans apply to other vertebrates as well. Psychophysicists have suggested that some of their findings on human vision reflect adaptive 'tricks' for countering prey camouflage, but this possibility has not been widely communicated to evolutionary biologists. We review the psychophysicists' main conclusions on texture discrimination, and list additional questions that their results raise when animal coats are considered as visual textures. We also suggest ways in which advances in computer vision can be combined with psychophysics to provide new perspectives on the function of animal coat patterns.     

Automatic counting of birds in a bird deterrence field trial

相似文献   

What makes a cell face selective? The importance of contrast

Faces are robustly detected by computer vision algorithms that search for characteristic coarse contrast features. Here, we investigated whether face-selective cells in the primate brain exploit contrast features as well. We recorded from face-selective neurons in macaque inferotemporal cortex, while presenting?a face-like collage of regions whose luminances were changed randomly. Modulating contrast combinations between regions induced activity changes ranging from no response to a response greater than that to a real face in 50% of cells. The critical stimulus factor determining response magnitude was contrast polarity, for example, nose region brighter than left eye. Contrast polarity preferences were consistent across cells, suggesting a common computational strategy across the population, and matched features used by computer vision algorithms for face detection. Furthermore, most cells were tuned both for contrast polarity and for the geometry of facial features, suggesting cells encode information useful both for detection and recognition.     

Environmentally adaptive fish or no-fish classification for river video fish counters using high-performance desktop and embedded hardware

Automated fish counters featuring robust, real-time computer vision capabilities can provide a cost-effective means to count migrating freshwater fish. In this work, we propose a four-stage process for automatically sorting videos with and without fish. Underwater fish counter videos provide a challenging range of environmental conditions including clear water, biofilm growth, bubbles, turbidity, low light and overexposure. To address this, our method also includes the automated classification of these six environmental conditions. The proposed methods are computationally efficient and can be implemented on servers, high-performance desktop computers and low-cost, energy-efficient embedded hardware. The models were trained, tested, and validated using a collection of 3000 videos taken from underwater fish counter installations in several alpine and lowland European rivers provided by commercial and governmental collaborators. This work demonstrates a fast, accurate, and robust computer vision workflow for large-scale automated freshwater fish counting systems.