Formation and early development of tetraspores of Polysiphonia urceolata （Rhodomelaceae, Rhodophyta）

Polysiphonia urceolata is one type of potential commercial red seaweeds used for breeding and cultivation, because of its significant biochemical and biomedical application. However, the information of breeding and seedling incubation for cultivation is limited, especially the early development. In this study, tetrasporohyte and gametophyte of P. urceolata were taken as the study materials in Huiquan Bay, Qingdao, China. The cleaned and sterilized tetrasporophytes and gametophytes were pre-cultured in sterilized seawater, then nurtured at 18°C, 25 μmol photons m⁻² s⁻¹ in 12:12 h (light:dark) photoperiod. Continuous observation under microscope showed that the early development consists of bipolar division stage and seedling stage. In the division stage, tetraspores germinate into bipolar sporelings that further differentiate into a colorless rhizoidal portion and a lightly pigmented upright shoot. The lightly pigmented rhizoidal cell develops to a rhizoid and the larger pigmented cell transforms to an erect axis. In the seedling stage, several quasi-protuberances appear on the erect axis and form juvenile seedlings. The results demonstrate the culture of P. urceolata from tetraspores under laboratory conditions. Supported by National Key Technology Support Program, Development Program of China (No.2006AA09Z21), National Natural Science Foundation of China (No. 40618001 and N_CUHK438/06) and Shandong Agricultural Seed Stock Breeding Project     

Application of matter-element model in soil nutrient evaluation of ecological fragile region

On the basis of the soil environment investigation in Da'an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade Ⅱ-Ⅴ respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade Ⅳ and Ⅴ account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade Ⅳ and Ⅴ. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade Ⅳ and Ⅴ. And the ratios of soil samples grade Ⅳ and Ⅴ in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da'an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate resuits and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models.     

CBERS卫星数据在山西省数字生态工程中的应用研究

着重进行了利用中巴地球资源卫星数据进行土地利用现状遥感解译的方法研究,在山西省的数字生态工程中,通过建立解译标志进行土地利用变化信息提取,实现了对山西省土地利用现状、生态环境的动态监测,取得了良好的效果.     

浅谈"数字国土工程"技术与应用

“数字国土工程“是国家信息化建设的重要组成部分,是为各级国土部门的土地利用数据更新、综合统计、耕地保护、建设项目用地管理等日常国土资源管理业务提供数据支持和技术服务的重要手段。     

四川汶川“5.12”地震滑坡堰塞湖遥感监测分析

运用可见光、雷达和航片等不同空间分辨率的多源遥感数据,对四川汶川"5.12"地震灾区因地震诱发形成的大型堰塞湖进行了遥感监测,对堰塞湖发生的地点、数量以及空间分布规律进行了讨论。重点对唐家山堰塞湖进行了动态监测,提取了其堰塞湖回水长度、水面面积与水量等信息,并对这一结果进行了详细分析,为地震滑坡堰塞湖科学处置与减灾决策提供了科学依据。     

一种改进的Apriori挖掘算法

针对制约Apriori算法效率的瓶颈问题,提出了一种基于Apriori的改进算法,算法只需要遍历一次事务数据库,避免了Aprori算法多次扫描事务数据库和产生大量的候选项集,同时利用项集的有序性改进了判断连接的方式,优化了连接步骤,减少了判断时间.实验结果表明,改进的Apriori算法在运行效率上有一定的提高.     

矿产资源潜力评价

“在全国矿产资源潜力评价中,采用物探方法估算出辽宁、河北、四川、新疆、青海、安徽六省示范区还有相当可观的铁矿资源量。”这是日前在厦门召开的“全国矿产资源潜力评价典型示范中重、磁及遥感资料应用成果汇报及经验交流会”上获得的振奋人心的好消息。这次典型示范工作结束后,建立在示范工作经验和模式基础上的全国矿产资源潜力评价工作即将全面展开。     

媒体广场

全国土地利用计划为贯彻落实进一步扩大内需决策部署,国土资源部日前编制下发《2009年全国土地利用计划(草案)》。     

野外型断层活动连续监测系统

介绍野外型断层活动连续监测系统的组成、布设及主要技术指标。     

遥感技术在第二次土地调查中的应用

土地遥感是利用遥感技术进行土地调查和土地管理的技术方法。我国从1996年起开展了全国50万人口以上城市的土地利用遥感动态监测。在1984年开展的国土资源大调查(第一次全国土地调查)中,土地资源遥感动态监测被列为重点项目之一,