Further feral poeciliid fish in New Zealand fresh waters,with a key to species

The poeciliid fish, Phalloceros caudimaculatus (commonly referred to as the “caudo"), is recorded from the wild for the first time, occurring in stock‐water troughs on a farm near Kamo in Northland, New Zealand. The populations in the stock troughs reputedly came from a nearby stream c. 10 years ago, although a preliminary search has failed to reveal them to be there now. Presence of an additional exotic fish in New Zealand fresh waters is a matter for concern, and requires management. To facilitate recognition off. caudimaculatus, and its distinction from other poeciliids present here, a diagnosis is provided to enable identification, together with notes on natural history, and a key for the identification of the five species of Poeciliidae now known from natural waters in New Zealand.     

基于Cyt b 基因序列的中国沿海4个长蛸(Octopus variabilis)群体的种群遗传结构分析

采用线粒体Cytb基因测序技术研究了我国不同海域4个长蛸(Octopus variabilis)群体的种群遗传结构。结果表明,232bp的Cytb基因片段在4个群体90个个体中共检测到38个多态位点、12个单倍型,单倍型多样性指数H达0.854±0.015,核苷酸多样性指数Pi达0.059±0.005,平均核苷酸多样性指数K达13.526,显示出较高的遗传变异。种群遗传结构分析表明,4个群体间均存在极显著的遗传分化(P<0.01),除大连与青岛两群体间外,其它两两群体间的基因流均小于1。聚类分析表明,4个群体明显分化为三大类群,一个类群由大连和青岛群体组成,一个由温州群体组成,另一个由东山群体组成;遗传距离分析表明,东山类群与其它类群之间可能为亚种水平的分化,而其它类群之间仍为种内群体间分化。长蛸这种种群遗传结构形成原因可能与其较弱的种群扩散能力有关,另外冰川期地理历史因素及我国海域的洋流作用可能也参与了长蛸种群遗传结构的形成。     

虹鳟(Oncorhynchus mykiss)选育群体的血清类固醇激素周年变化

采用放射性免疫(RIA)和组织学切片技术,系统地研究了虹鳟(Oncorhynchus mykiss)选育群体的血清性类固醇激素周年变化与性腺发育特点的关系,以及血清中性类固醇激素雌二醇(E2)和睾酮(T)在雌雄亲本中的周年变化规律和生理作用。结果表明,虹鳟性腺发育可划分为6期。雌鱼血清中E2在10月(V期性腺)达到峰值,T浓度在11月达到峰值,而进入繁殖期后(11—12月)E2开始下降。雄鱼血清T浓度在11月达到最大值,E2在6月份达到峰值,在11月之后T开始下降。在各月份,雌鱼E2浓度水平远高于雄鱼,而雄鱼T浓度个别月份低于雌鱼。这些研究揭示出,测定血清性类固醇激素浓度水平可用于准确判断鱼类的生殖状态,且可为虹鳟家系选育出早熟亲本群体提供重要技术依据。     

Stock assessment for Atlantic yellowfin tuna based on extended surplus production model considering life history

The modern fishery stock assessment could be conducted by various models, such as Stock Synthesis model with high data requirement and complicated model structure, and the basic surplus production model, which fails to incorporate individual growth, maturity, and fishery selectivity, etc. In this study, the Just Another Bayesian Biomass Assessment (JABBA) Select which is relatively balanced between complex and simple models, was used to conduct stock assessment for yellowfin tuna (Thunnus albacares) in the Atlantic Ocean. Its population dynamics was evaluated, considering the influence of selectivity patterns and different catch per unit effort (CPUE) indices on the stock assessment results. The model with three joint longline standardized CPUE indices and logistic selectivity pattern performed well, without significant retrospective pattern. The results indicated that the stock is not overfished and not subject to overfishing in 2018. Sensitivity analyses indicated that stock assessment results are robust to natural mortality but sensitive to steepness of the stock-recruitment relationship and fishing selectivity. High steepness was revealed to be more appropriate for this stock, while the fishing selectivity has greater influence to the assessment results than life history parameters. Overall, JABBA-Select is suitable for the stock assessment of Atlantic yellowfin tuna with different selectivity patterns, and the assumptions of natural mortality and selectivity pattern should be improved to reduce uncertainties.     

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.     

Hog Daddy and the Walls of Steel: Catch Shares and Ecosystem Change in the New England Groundfishery

The U.S. National Oceanic and Atmospheric Administration implemented market-based fishery management in the New England groundfishery as catch shares, controlling aggregate harvests through tradable annual catch quotas allocated to fishing groups called sectors. Policy supporters assert that resulting markets raise conservation incentives. In compliance with the Magnuson–Stevens Fishery Conservation and Management Act, species assessments permit catch shares to replace more spatially and temporally specific constraints on fishing gear, time, areas, and daily harvest limits. Qualitative evidence from field interviews and participant observation questions the efficacy of catch shares. Fishing industry members observe that increased presence of large trawl vessels in previously protected areas damages fish subpopulations and benthic habitat. Regulatory bioeconomic models fail to consider these lay observations. The consequent inability of quota markets to recognize the materiality of human–environment relationships at the spatiotemporal scales of fishing activity, and to internalize associated externalities, may have devastating consequences for the fishery.     

基于地理加权回归的吉林省人口城镇化动力机制分析

以吉林省各县域(市辖区)为基本单元,借助第六次人口普查和统计年鉴的相关数据,结合地理加权回归模型和空间自相关分析方法,讨论人口城镇化水平和国有动力、非国有动力、农业动力及外向动力等因素的空间相关关系,并以此解释人口城镇化分县域(市辖区)差异的影响因素。结果表明:国有动力对吉林省人口城镇化的影响作用最大,影响强度由中北部向西南、东南两个方向递减;农业动力和非国有动力分居二、三位,但差别不明显。其中农业动力的影响强度由西北向东南方向递减,非国有动力的影响强度由东南向西北递减;外向动力对人口城镇化的影响力较弱,影响强度各地区差别较大。吉林省人口城镇化未来发展应重视非国有动力的影响和农村现代化的作用;关注人口城镇化动力多元化,考虑实现错位发展和个性化发展。     

舰船气泡尾流分布的BPBE表征方法研究

基于气泡群平衡方程(BPBE),提出一种用于更系统表征舰船气泡尾流变化特征的数值模型。模型的创新处在于既能反映气体传质因素的影响,又考虑了尾流中实际存在的气泡聚并现象,且具有简单易行,运算效率高的特点。分析结果表明:聚并在近尾流区作用强烈,传质在远程尾流区作用明显;聚并对BND的分布变化影响不大,对气含量的发展变化则发挥着主要作用;尺寸为70~80 um的气泡BND最大,尺寸为200 um的气泡气含量最大。     

重金属胁迫对两种海洋饵料微藻的急性毒性效应研究

在模拟生态环境条件下研究了铜(Cu2+)、镉(Cd2+)和锌(Zn2+)3种重金属离子对2种海洋饵料微藻(青岛大扁藻(Platymonas helgolandica)和等鞭金藻8701(Isochrysis galbana 8701))的急性毒性效应,分析其对种群增长的影响,并利用透射电镜对微藻亚显微结构的变化进行分析。在实验浓度范围内,2种微藻的种群增长对3种重金属离子的急性胁迫表现出类似的变化趋势,随着胁迫浓度的增加,微藻的相对增长率均呈现出不断下降的趋势;通过比较2种微藻的48hEC50和96h-EC50发现:3种重金属离子的毒性程度为Cu2+Cd2+Zn2+,等鞭金藻8701对重金属胁迫的敏感性高于青岛大扁藻。2种微藻的亚显微结构观察显示,二者的膜结构及细胞核对Cu2+胁迫并不太敏感;与对照组相比等鞭金藻8701的色素体及贮能物质受影响较严重,而青岛大扁藻的叶绿体及淀粉粒受影响较大。