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.     

侵蚀泥沙、有机质和全氮富集规律研究

在自然降雨下,研究降雨,坡度,耕作和施肥对侵蚀泥沙,有机质和全N富集率的影响,分析土壤和泥沙颗粒组成,富集与泥沙有机质和全N富集的关系,揭示土壤有机质和全N在泥沙中的富集规律,结果表明,泥沙粘粒的富集导致有机质和全N的富集,泥沙粘粒,有机质和全N富集率分别平均为1．77,2．09和1．61,土壤侵蚀模数与泥沙有机质和全N富集率呈显著的负相关关系,降雨,坡度,施肥和耕作措施对泥沙有机质富集作用的影响通过减少土壤侵蚀模数来实现的,减少土壤侵蚀的措施可增加泥沙有机质和全N的富集。     

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。     

保护区广交伙伴开展合作管理的意义与途径

地球人口的迅速增加正在滥用和威胁着本身赖以生存的生态系统和物种多样性的生存,这表现在农田和天然森林面积日益缩小,大量物种陷入受威胁乃至灭绝的境地,大气和水域严重污染,酸雨的产生和危害,石油和化学物质的散落,臭氧层的破裂,城市化失控的扩展,战争和内乱的破坏等。人们对此不能无动于衷,     

盐城滩涂生物多样性保护及其可持续利用

论述了盐城滩涂的自然概况和动植物资源,分析了生物多样性保护和利用过程中取得的成绩和存在的不足,针对所存在的问题提出了盐城滩涂生物多样性保护及其可持续利用的对策,包括深入开展生物多样性资源的调查和研究,注重滩涂湿地生态环境的保护和改造,加强自然保护区的建设和管理,以科技进步促进生物多样性的保护和利用,围绕资源保护和持续利用实施滩涂开发。     

性类固醇激素及其受体在文昌鱼性腺和神经系统中的分布

首次用雌二醇,睾酮及孕酮受体的多克隆抗体在文昌鱼性腺,脑泡和神经管中进行免疫细胞化学定位研究,结果表明,不同发育时期的卵原细胞和卵母细胞中都存在雌激素,雄激素和孕激素受体,在小生长期,3种受体通常定位在卵原细胞和早期初级卵母细胞的胞质或核膜,在大生长期和成熟期,则定位在胞质和核质,在雄性,3种类固醇激素受体分布在不同发育时期的精原细胞,精母细胞和精子细胞（雌激素受体例外）中,受体阳性物定位在胞质和核,另外,用免疫细胞化学方法和性类固醇激素抗体对文昌鱼不同发育时期的性腺和神经系统进行研究,结果揭示,免疫阳性物存在于不同发育时期的卵巢和精巢中,在卵巢发育是上期,卵原细胞和卵母细胞的胸质和核仁膜对紫二醇,睾酮和孕酮抗体显示强或中等强度免疫阳性反应,在大生长期和成熟期,卵母细胞胞质和核仁膜对睾酮和孕酮抗体的免疫阳性反应明显减弱,而对雌二醇则显著增强,在雄性,随着精原细胞和精母细胞对孕酮抗体发生强的免疫阳性反应,在成熟期则对雌二醇抗体发生免疫阴性反应,精子始终为免疫阴性,本文研究首次发现,文昌鱼脑泡和神经管中存在哺乳动物神经旮体激素样免疫阳性神经细胞及其纤维,免疫阳性物分布在神经细胞胸质,核显阴性反应,这些结果为证明文昌鱼性类固醇激素参与调节性腺发育成熟和生殖内分泌调控轴的功能成熟提供重要的形态学新证据。     

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。     

锡林河流域草原群落植物多样性和初级生产力沿水热梯度变化的样带研究

 用样带法研究了草原群落植物多样性和初级生产力沿海拔和水分梯度的变化,结果表明;在样带梯度上,物种丰富度、多样性和群落初级生产力与海拔高度、年降水量和土壤有机C及全N含量呈正相关,而与年平均气温和干燥度呈负相关。随着海拔高度的降低,降水量的减少,热量和干燥度的增加,以及土壤有机C和全N含量的降低,草原群落的物种丰富度、多样性和初级生产力逐渐降低。典型相关分析的结果揭示出,土壤有机C含量和干燥度是对草原群落物种丰富度和初级生产力具有更大的影响。同时,草地的利用方式和强度对群落植物多样性和生产力也具有较强的影响。     

锡林河流域草原群落植物多样性和初级生产力沿水热梯度变化的样带研究

 用样带法研究了草原群落植物多样性和初级生产力沿海拔和水分梯度的变化,结果表明;在样带梯度上,物种丰富度、多样性和群落初级生产力与海拔高度、年降水量和土壤有机C及全N含量呈正相关,而与年平均气温和干燥度呈负相关。随着海拔高度的降低,降水量的减少,热量和干燥度的增加,以及土壤有机C和全N含量的降低,草原群落的物种丰富度、多样性和初级生产力逐渐降低。典型相关分析的结果揭示出,土壤有机C含量和干燥度是对草原群落物种丰富度和初级生产力具有更大的影响。同时,草地的利用方式和强度对群落植物多样性和生产力也具有较强的影响。     

棉蚜对寄主的选择及寄主专化型研究

采用叶片选择法,生命表及EPG技术研究了棉蚜对寄主植物的选择和专化性,结果表明,棉花上生长的棉蚜对棉花,西葫芦和西瓜叶片均具有强选择性,而对黄瓜和南瓜选择性弱,西瓜,南瓜和黄瓜上生长的棉蚜对其原寄主选择性强,而对棉花选择性弱,棉花上的棉蚜转接到黄瓜和南瓜上,其存活率和繁殖力极低,棉蚜的取食行为在黄瓜和马铃薯,黄瓜和棉花之间存在明显的寄主专化型,黄瓜与棉花上的棉蚜相互转接均难成功,而黄瓜和马铃薯上的棉蚜转移具有不对称性。     

计算机视觉技术在植物学中的应用

介绍计算机视觉技术的定义、组成系统和发展状况,总结其在植物学中的应用,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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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.