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.     

硅在植物中的生理功能

硅参与植物的许多生理活动和代谢作用,促进植物器官的形成、发育和健壮生长,改善叶的着生方式和冠层结构,缓解金属离子毒害和盐胁迫,增强植物的抗旱性、抗病性和抗虫性,提高经济产量和质量.该文就这些方面的研究进展作了介绍.     

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。     

轮虫和枝角类的种间竞争及其影响因子研究进展

轮虫和枝角类是浮游动物群落的重要组成部分和优势类群,它们之间的竞争互作是调节水生态系统结构和功能的主要动力之一。普遍的观点认为,轮虫和大型枝角类难以共存,往往被竞争排斥,而和小型枝角类可以共存;实际上,轮虫和枝角类的种间竞争结局存在一定的不确定性。介绍了轮虫和枝角类的种间竞争方式及其相对重要性,对影响轮虫和枝角类种间竞争结局的因素,包括温度、食物、相对起始密度、个体大小、食物临点、耐饥饿能力、捕食及竞争者和捕食者释放的化感物质等,进行了系统的梳理和分析,并提出了今后亟待解决的科学问题和研究切入点。     

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。     

玉米低温冷害动态评估和预测方法

为了防御和减轻玉米低温冷害,应用改进的玉米生长发育和干物质积累动态模型,采用新的玉米低温冷害指标和参数,建立了玉米低温冷害发生及损失程度的动态预测和评估方法.该方法遵循积温学说和玉米生物学、生态学原理,用相对积温作为发育期预报和灾害判别的主导因子,用干物质亏缺率代表冷害减产率.经代表地区不同气候年型的验证和试用,证明该冷害预报和评估方法具有较好的客观性和适用性,经过参数和指标调整后,可应用于东北地区各地.     

中国粮食和农业植物遗传资源状况报告(Ⅱ)

10多年来,中国政府十分重视粮食和农业植物遗传资源的保护和可持续利用,并根据《粮食和农业植物遗传资源全球行动计划》20项优先领域,通过制定和完善相关的法律法规,加强了粮食和农业植物遗传资源的管理;通过培训和科普宣传,提高了公众意识;通过国际合作和协作网建设,实现了信息、人员和植物遗传资源的交流与交换;通过各种国家计划和项目的实施,建立和完善了植物遗传资源保护体系,实现了植物遗传资源的安全保存和可持续利用,为中国乃至世界植物育种和粮食安全发挥了较大作用。     

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。     

不同森林类型中社鼠食性和消化道形态变化

能量的获取能力、分配速率和效率对动物的生存繁衍起着至关重要的作用(王德华和王祖望,2000;刘艳华等,2004),消化道作为储藏和处理食物及吸收能量的场所,其形态学和生理学决定着动物对营养物质和能量的吸收(汪晓琳等,2007;朱万龙等,2009).在面对外界环境变化带来的各种压力和胁迫下,小型哺乳动物的消化道各器官常常会产生不同程度的响应(Derting and Noakes,1995;张志强和王德华,2009).     

香港观赏植物资源及园林应用调查

采用实地调查和资料搜集的方法,对香港的公园和主要街道展开植物资源调查和编目,共记载香港观赏植物约70科260种,分析其观赏特性和园林应用,探讨观赏植物园林应用的不足之处,提出香港地区植物资源合理利用和保护的建议,为香港园林建设中的植物景观改良和建设提供参考。     

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

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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.