稀土与竹笋主要性状关系的研究

研究结果表明,稀土施用量不同,竹林翌年出笋数,成竹数差异极显著;新竹眉径差异显著,笋体中蛋白质、脂肪及Ｐ、Ｆｅ、Ｃａ等主要营养成分也存在一定差异。     

新型耐高温磁力联轴器的研制

同步磁力联轴器已在化工、制药等部门得到广泛应用,但目前同步磁力联轴器一直存在内磁钢在高温下退磁而引起磁力联轴器不能正常工作的问题。该文运用鼠笼式异步电动机工作原理,设计一种新型磁力联轴器,可有效解决这个问题,采用有限元方法分析了该新型磁力联轴器的内部磁场分布,计算了转矩和内外转子间的转速差并与实测值进行了比较。实验结果表明,该设计方案切实可行。     

中国特有珍稀濒危植物太行花的研究进展

太行花是我国特有的濒危植物,已被列为国家二级保护植物。就其形态特征、分布区系及生境、植物化学、解剖学、发育生物学、生殖生物学、保护遗传学等方面的研究成果进行了系统地综述,同时对太行花濒危的可能原因进行了分析,并提出保护措施,为太行花更深入的研究提供参考。     

濒危植物翅果油树组织培养研究进展

综述了濒危植物翅果油树组织培养过程中成年植株与试管萌发种子苗取材的外植体的种类与消毒程序、植株再生的2条途径（器官型与器官发生型）、生根与移栽、影响培养的因素及培养过程中出现的褐化和玻璃化现象的防除等,并提出了翅果油树生物技术研究今后的发展方向。     

广东天井山国家森林公园珍稀濒危植物多样性及保育研究

[目的]了解广东省天井山国家森林公园野生珍稀濒危植物的现状。[方法]查阅有关资料,同时进行实地野外调查。[结果]天井山森林公园共有野生珍稀濒危植物43种,其中蕨类植物12种,裸子植物7种,被子植物24种。国家Ⅰ级重点保护植物有2种,Ⅱ级重点保护植物有10种;有10种植物被评估为近危种,14种属于易危,3种为濒危。区内珍稀濒危植物具有组成较为丰富、起源古老、特有现象突出的特点。此外,该研究首次对区域内的珍稀蕨类和兰科植物的种类数目、野外生存状况进行了分析。[结论]该研究提出了保育和保护建议。     

甘孜、凉山地区的兽类多样性

本文依据资料,分析了四川西部甘孜和凉山州兽类动物多样性,系统总结了川西地区兽类的研究历史、种类组成、区系特征、特有成分,以及珍稀和资源种类,并总结了兽类多样性的特点.川西地区有兽类9目28科100属195种,其中东洋界成分111种,古北界兽类70种,广布兽类13种.兽类多样性和区系成分具有明显的过渡性和渗透性、古老性和局限分布等特点.川西善类有特有兽类48种,珍稀兽类48种,多为资源兽类.与邻近地区相比,川西地区兽类丰富度非常高.     

长白山野生珊瑚状猴头驯化栽培

对产自长白山自然保护区的珍稀野生食用菌珊瑚状猴头驯化栽培成功,介绍了珊瑚状猴头的分类地位、生态习性、地理分布和人工栽培技术。珊瑚状猴头菌丝最适生长温度为25℃,发菌期间需勤通风;人工栽培子实体的形态受环境条件影响明显,子实体发生温度范围15℃~22℃,湿度保持在80%以上,温度、湿度适宜且通风良好的环境下,子实体形态与野生状态相同。     

玛可河林区珍稀树种资源探讨

阐述了玛可河林区珍稀树种资源，分析了这些珍稀树种资源更新的难题，并提出了大力发展珍稀树种的人工驯化繁育的建议。     

Predicting loss and fragmentation of habitat of the vulnerable subtropical rainforest tree Macadamia integrifolia with models developed from compiled ecological data

Habitat models are widely used in ecology, however there are relatively few studies of rare species, primarily because of a paucity of survey records and lack of robust means of assessing accuracy of modelled spatial predictions. We investigated the potential of compiled ecological data in developing habitat models for Macadamia integrifolia, a vulnerable mid-stratum tree endemic to lowland subtropical rainforests of southeast Queensland, Australia. We compared performance of two binomial models—Classification and Regression Trees (CART) and Generalised Additive Models (GAM)—with Maximum Entropy (MAXENT) models developed from (i) presence records and available absence data and (ii) developed using presence records and background data. The GAM model was the best performer across the range of evaluation measures employed, however all models were assessed as potentially useful for informing in situ conservation of M. integrifolia, A significant loss in the amount of M. integrifolia habitat has occurred (p < 0.05), with only 37% of former habitat (pre-clearing) remaining in 2003. Remnant patches are significantly smaller, have larger edge-to-area ratios and are more isolated from each other compared to pre-clearing configurations (p < 0.05). Whilst the network of suitable habitat patches is still largely intact, there are numerous smaller patches that are more isolated in the contemporary landscape compared with their connectedness before clearing. These results suggest that in situ conservation of M. integrifolia may be best achieved through a landscape approach that considers the relative contribution of small remnant habitat fragments to the species as a whole, as facilitating connectivity among the entire network of habitat patches.     

Regional priority setting for rare species based on a method combining three criteria

We propose a method to establish regional-level priorities for plant species that is based on three criteria. These involve two main criteria associated with species rarity, (a) small range size and thus regional responsibility and (b) low population numbers and thus local rarity, and a third criteria associated with habitat vulnerability to distinguish species currently threatened by human activities. Application of the method shows how the three criteria can be objectively and readily quantified (using a system of equal numbers of ranks) and combined into a hierarchy of priorities. We show how this can be done by using regional responsibility as a first order priority followed successively by local rarity and habitat vulnerability. Since the criteria are closely associated with rarity, this method is easily understandable for decision makers. We illustrate the application of the method to plants (a species rich group) at two regional scales where the objectives are different. If adapted to the availability of different types of data, the three criteria could be used to produce comparable lists in different countries and regions.