面向实践的生态用地内涵、多维度分类体系

生态用地是保障我国国土生态安全格局、建设生态文明基础,是土地资源研究领域的热点问题。其内涵与分类界定是深化生态用地研究与实践的前提,也是该研究领域的难点。根据国内外现有研究,挖掘生态用地的内涵与分类特征。基于此,重新阐释了生态用地的内涵,提出功能主导性、尺度依赖性、区域特殊性、等级性和可操作性等五大分类原则,构建了面向管理实践的多维度生态用地分类体系,即基础性生态用地、保全性生态用地、生产性生态用地和生活性生态用地4大类、10个一级类和15个二级类。同时在分类体系中明确了各生态用地地类的适用尺度与范围。多维度生态用地分类体系的构建,将有利于国家和地方制定生态用地管理政策,便于深入生态用地及其生态系统服务研究。     

利用SRAP标记分析贵州砂梨资源遗传多样性

采用SRAP标记技术,对贵州59份砂梨种质的遗传多样性进行分析。结果表明:(1)筛选的15对SRAP引物共扩增出151个位点,其中120个是多态性位点,多态百分率为79.47%。(2)POPGENE分析表明,贵州砂梨资源在物种水平上有效等位基因数(Ne)为1.355 9,Nei’s基因多样性指数(H)为0.216 9,Shannon’s信息指数(I)为0.336 2;在区域品种群水平Ne=1.261 1,H=0.155 5,I=0.235 2,以黔西南地区资源的遗传多样性最高,六盘水市最低。(3)聚类分析显示,在遗传相似系数0.75处,可将59份砂梨资源分为6个组,聚类分析结果具有一定的地理区域特性。研究认为,贵州砂梨种质具有较为丰富的遗传多样性,并表现出明显的地理区域特性;SRAP标记与ISSR标记在揭示贵州砂梨种质遗传多样性上具有高度的一致性,但SRAP标记能在更小的变异范围内揭示更多的遗传信息。     

藏区金腰种质资源调查与分析

金腰属植物因富含黄酮醇类化合物而具有显著的药效,通过对我国西藏、云南、四川、青海以及甘肃5个省(自治区)进行金腰属植物种质资源的科学考察,共收集到19种(含2变种)145份野生种质资源。此外四川省发现金腰新分布2种,分别为秦岭金腰(Chrysosplenium biondianum Engl.)、陕甘金腰(Chrysosplenium qinlingense Z.P.Jien&J.T.Pan),均为中国特有种;甘肃省发现金腰新分布3种,分别为毛金腰(Chrysosplenium pilosum Maxim.)、绵毛金腰(Chrysosplenium lanuginosum Hook.f.&Thomson)和蜕叶金腰(Chrysosplenium henryi Franch.),凭证标本存于中南民族大学植物标本馆(HSN)。金腰属植物作为传统藏药长期以来被用于治疗各种疾病,如长梗金腰(Chrysosplenium axillare Maxim.)的75%乙醇提取物具抗炎症、抗流感病毒活性,从灰花金腰(Chrysosplenium grayanum Maxim.)与裸茎金腰(Chrysosplenium nudicaule Bunge)提取的五环三萜对肿瘤细胞有较强抑制效果。本调查丰富了野生藏药金腰属植物种质资源,为深入研究金腰属植物的分类与药理活性提供了基础。     

The Urfold: Structural similarity just above the superfold level?

We suspect that there is a level of granularity of protein structure intermediate between the classical levels of “architecture” and “topology,” as reflected in such phenomena as extensive three‐dimensional structural similarity above the level of (super)folds. Here, we examine this notion of architectural identity despite topological variability, starting with a concept that we call the “Urfold.” We believe that this model could offer a new conceptual approach for protein structural analysis and classification: indeed, the Urfold concept may help reconcile various phenomena that have been frequently recognized or debated for years, such as the precise meaning of “significant” structural overlap and the degree of continuity of fold space. More broadly, the role of structural similarity in sequence?structure?function evolution has been studied via many models over the years; by addressing a conceptual gap that we believe exists between the architecture and topology levels of structural classification schemes, the Urfold eventually may help synthesize these models into a generalized, consistent framework. Here, we begin by qualitatively introducing the concept.     

Distributional dynamics of a specialized subterranean community oppose the classical understanding of the preferred subterranean habitats

Troglobionts are organisms that are specialized for living in a subterranean environment. These organisms reside prevalently in the deepest zones of caves and in shallow subterranean habitats, and complete their entire life cycles therein. Because troglobionts in most caves depend on organic matter resources from the surface, we hypothesized that they would also select the sections of caves nearest the surface, as long as environmental conditions were favorable. Over 1 year, we analyzed, in monthly intervals, the annual distributional dynamics of a subterranean community consisting of 17 troglobiont species, in relation to multiple environmental factors. Cumulative standardized annual species richness and diversity clearly indicated the existence of two ecotones within the cave: between soil and shallow subterranean habitats, inhabited by soil and shallow troglobionts; and between the transition and inner cave zones, where the spatial niches of shallow and deep troglobionts overlap. The mean standardized annual species richness and diversity showed inverse relationships, but both contributed to a better insight into the dynamics of subterranean fauna. Regression analyses revealed that temperatures in the range 7–10°C, high moisture content of substrate, large cross section of the cave, and high pH of substrate were the most important ecological drivers governing the spatiotemporal dynamics of troglobionts. Overall, this study shows general trends in the annual distributional dynamics of troglobionts in shallow caves and reveals that the distribution patterns of troglobionts within subterranean habitats may be more complex than commonly assumed.     

A Multiplexed Assay for Exon Recognition Reveals that an Unappreciated Fraction of Rare Genetic Variants Cause Large-Effect Splicing Disruptions

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Composition and ecological drivers of the kwongan scrub and woodlands in the northern Swan Coastal Plain,Western Australia

The nature of community patterns and environmental drivers in kwongan mediterranean‐type shrubland on nutrient‐poor soils occurring in Western Australia remain poorly examined. We aimed to determine whether (i) classification of the kwongan vegetation of the northern Swan Coastal Plain would be ecologically informative and (ii) which environmental drivers underpin the plant community patterns. The study area was positioned on the northern Swan Coastal Plain, locality of Cooljarloo (30°39′ S, 115°22′ E), situated 170 km north of Perth, Western Australia. Compositional (518 species × 337 relevés) and environmental data set (29 variables × 87 relevés) describing time since last fire, soil chemical and physical properties, and terrain characteristics were analysed using classification and ordination techniques. OptimClass assisted in the selection of a robust data transformation, resemblance function and clustering algorithm to identify the vegetation patterns. Major ecological drivers of the vegetation patterns were detected using distance‐based redundancy analysis (db‐RDA). Classification revealed major groupings of Wet Heath and Banksia Woodland distinguishable by the high prevalence of myrtyoid and proteoid taxa, respectively. On floristic‐sociological grounds, we recognised four Wet Heath and two Banksia Woodland communities. The Wet Heath was constrained to areas of higher litter depth (db‐RDA axis 1: 9%). Soil chemical and physical properties explained the highest proportion (17%) of the compositional variance, while the terrain‐ and fire‐related variables explained 2% and <0.001%, respectively. While fire explained little compositional variance overall, a separate db‐RDA analysis found that it may play an important pattern‐structuring role within Banksia Woodlands. Fine‐scale compositional patterns correspond only to a small extent to environmental data; the substantial unexplained variance may be due to slow‐acting neutral and stochastic processes.     

基于多源遥感数据的植物物种分类与识别: 研究进展与展望

物种分类与识别是生物多样性监测的基础, 明确物种的类别及其分布是解决几乎所有生态学问题的前提。为深入了解基于多源遥感数据的植物物种分类与识别相关研究的发展现状和存在的问题, 本文对2000年以来该领域的研究进行了总结分析, 发现: 当前大多数研究集中在欧洲和北美地区的温带或北方森林以及南非的热带稀树草原; 使用最多的遥感数据是机载高光谱数据, 而激光雷达作为补充数据, 通过单木分割及提供单木的三维垂直结构信息, 显著提高了分类精度; 支持向量机和随机森林作为应用最广的非参数分类算法, 平均分类精度达80%; 随着计算机技术及机器学习领域的不断成熟, 人工神经网络在物种识别领域得以迅速发展。基于此, 本文对目前基于遥感数据的植物物种分类与识别中在分类对象复杂性、多源遥感数据整合、植物物候与纹理特征整合和分类算法技术等方面面临的挑战进行了总结, 并建议通过整合多时相监测数据、高光谱和激光雷达数据、短波红外等特定波谱信息、采用深度学习等方法来提高分类精度。     

药用白及资源再生策略初探

白及为兰科白及属植物。作为著名中药,白及功效多样、用途广泛,具有较高的药用价值和经济价值。随资源利用强度的增加,野生白及资源日渐萎缩,人工规模化种植是实现白及药用资源可持续利用的必由之路。优良种质及繁育技术是种植业的关键问题。为了更好地推动白及资源研究和可持续利用,本文就白及种质及快繁技术研究进展作一综述,并就白及资源再生策略进行初步探讨,为相关研究和生产提供参考。