Presence and development of populations of the introduced brown alga Sargassum muticum in the southwest Netherlands

Of the three Brachionus species used in aquaculture, Brachionus rubens, B. calycilorus and B. plicatilis, the latter is most widely used in raising marine fish and shrimp larvae due to its tolerance to the marine environment. In freshwater aquaculture the use of B. rubens and B. calycilorus is limited, probably because inert food products are readily available as feed for freshwater larvae.The rotifer Brachionus plicatilis is used in large numbers as the first food organism in intensive cultures of marine fish and shrimp larvae. An adequate supply of these rotifers relies on mass cultures. The reproductive rate of rotifers in these cultures depends on food quality and quantity, salinity, temperature and pH of the medium. Removal of waste products from culture tanks leads to higher and more efficient production of rotifers over extended periods of time. Rotifers have to be enriched with polyunsaturated fatty acids, which are essential for proper development and survival of marine fish and shrimp larvae.The future use of preserved rotifers and their resting eggs may help to overcome unforeseen failures of live cultures and may lead to more efficient use of these organisms in raising freshwater and marine fish and shrimp larvae.     

塔里木板块西南依格孜牙剖面上泥盆统—下石炭统地层学

塔里木板块西南英吉莎县依格孜牙出露上泥盆统—下石炭统序列。克里塔格组下段以法门阶牙行刺Icriodus alternatus alternatus为特征,中段的Spathognathodus aciedentatus和Polygnathus inornatus属杜内阶上部,上段的Scaphignathus sp.大致相当于维宪阶,可能还包括部分谢尔普霍夫阶。岩相序列表明,从奇自拉夫组紫红色石英砂岩、含砾石英砂岩相变为克里塔格组台地浅海相碳酸盐岩指示一次海进过程,克里塔格组礁灰岩可视为大灭绝事件之后全球最早的珊瑚礁群落复苏代表实例之一。     

西南山区人口空间重组及其对植被的影响——以河流沿线为例

随着城市化的快速推进,山区人口迁出及空间重组成为影响中国山区人地关系的重要因素,这可能对山区植被恢复和生态改善产生巨大影响。基于人口空间数据、河流分布数据和MODIS数据,本文分析了河流沿线人口空间重组情况,以生长季EVI值为表征植被绿度的指标,采用基于像元的趋势分析方法和基于样本的相关分析模型,对2000—2010年间中国西南山区不同级别河流沿线的人口空间变化和植被变化作了系统性分析,并定量研究了人口空间重组与植被变化之间的关系。结果表明:(1)三级及以上河流出现人口往河流沿线聚集的趋势,人口在河流的影响区聚集程度大于对比区。其中,一级和二级河流沿线影响区人口密度增加量比对比区分别高75.9%和42.1%。(2)三级及以上各河流沿线影响区和对比区EVI均呈现出增加的趋势,且影响区增加趋势低于对比区。(3)植被EVI变化趋势与人口密度变化呈负相关关系,河流沿线人口密度增加不利于植被的恢复;河流级别越高,植被EVI变化趋势与人口密度变化的相关性越强。     

西南岩溶地区石漠化综合治理研究

我国西南岩溶地区石漠化是人地矛盾作用下生态系统退化的过程或结果,石漠化不仅带来水土流失加剧、旱涝灾害频发、生物多样性降低等生态问题,还会带来贫困落后等一系列社会问题。20世纪80年代开始进行的石漠化治理工作已经成为我国西南岩溶地区生态文明建设的重要举措与必由之路,通过近40年来的石漠化治理使得我国西南岩溶地区石漠化问题恶化的趋势开始得到扭转。面向生态文明新时期的建设目标,石漠化脆弱区仍存在人地矛盾难以全面消除、治理成果可持续性亟待提升等问题,石漠化防治需要从多年来石漠化治理研究与实践探索积累中汲取有益于促进人地和谐、提升生态系统可持续性的治理经验与做法。因此,本文以石漠化治理典型区域调研资料与文献资料为数据基础,从石漠化治理目标、技术、措施和模式四个层面梳理石漠化治理经验与做法,归纳总结出石漠化综合治理四点配置原则:(1)以治理目标与预期周期为导向,确立石漠化治理采取的措施;(2)针对解决的关键生态退化问题,结合区域特征遴选石漠化治理技术;(3)针对石漠化退化阶段的差异,确定石漠化治理途径措施;(4)结合石漠化综合治理模式的共性特征,以小流域为基本单元,因地制宜的选择与构建石漠化综合治理模式。以期通过对实践经验的总结为石漠化治理过程中选择具备区位适宜性和机理明晰性的生态技术提供参考。     

西南地区生态重要性格局研究

生态保护重要性是表征区域生态系统结构和功能重要性程度的综合指标。在明确西南地区自然环境特征和关键生态问题的基础上,综合分析生态敏感性和生态服务功能重要性,构建西南生态重要性评估指标体系,并运用GIS技术识别具有重要保护意义的地区,为优化生态保护策略、划定生态红线和主体功能区划提供技术支持。研究表明:西南地区生态保护极重要区为75.7万km2,主要分布于雅鲁藏布江流域、横断山区、川西高原等地区。该区占西南地区总面积的32.5%,提供了59.4%的土壤保持总量和54.5%的水源涵养总量,保护了69.7%的重要物种。研究建议,划定极重要区为生态红线进行强制性严格保护,以保障和维护生态安全,促进西南地区可持续发展。     

A PRIMARY STUDY OF FOSSIL HILL FLORA FROM FILDES PENINSULA OF KING GEORGE ISLAND, ANTARCTICA

The fossil plants studied in this paper were collected by the Chinese Antarctic Expeditions (1986—1987 and 1987—1988) from the locality Fossil Hill on the Fildes Peninsula southwest of the King George Island of the South Shetland Islands.     

Surveys of Undaria pinnatifida (Laminariales,Phaeophyta) in Golfo Nuevo,Argentina

In December 1992, some sporophytes of the Asian kelp Undaria pinnatiftda were found growing subtidally at 6 m depth below A. Storni Port, Puerto Madryn, Argentina. During the winter of 1994, the species expanded significantly from its original location. Sporelings appear in early autumn and attain their maximum size (1.65 ± 0.10 m) during winter and early spring, when most of them become fertile. The fronds are lost in summer, with only some holdfasts and sporophylls surviving, and these disappear by the end of summer. The occurrence of U. pinnatida in Golfo Nuevo is reportedly due to an accidental introduction by cargo ships or fishing vessels arriving from Asian ports.     

Scaling up the diversity–resilience relationship with trait databases and remote sensing data: the recovery of productivity after wildfire

Understanding the mechanisms underlying ecosystem resilience – why some systems have an irreversible response to disturbances while others recover – is critical for conserving biodiversity and ecosystem function in the face of global change. Despite the widespread acceptance of a positive relationship between biodiversity and resilience, empirical evidence for this relationship remains fairly limited in scope and localized in scale. Assessing resilience at the large landscape and regional scales most relevant to land management and conservation practices has been limited by the ability to measure both diversity and resilience over large spatial scales. Here, we combined tools used in large‐scale studies of biodiversity (remote sensing and trait databases) with theoretical advances developed from small‐scale experiments to ask whether the functional diversity within a range of woodland and forest ecosystems influences the recovery of productivity after wildfires across the four‐corner region of the United States. We additionally asked how environmental variation (topography, macroclimate) across this geographic region influences such resilience, either directly or indirectly via changes in functional diversity. Using path analysis, we found that functional diversity in regeneration traits (fire tolerance, fire resistance, resprout ability) was a stronger predictor of the recovery of productivity after wildfire than the functional diversity of seed mass or species richness. Moreover, slope, elevation, and aspect either directly or indirectly influenced the recovery of productivity, likely via their effect on microclimate, while macroclimate had no direct or indirect effects. Our study provides some of the first direct empirical evidence for functional diversity increasing resilience at large spatial scales. Our approach highlights the power of combining theory based on local‐scale studies with tools used in studies at large spatial scales and trait databases to understand pressing environmental issues.