山东近海牙鲆(Paralichthys olivaceus)自然和养殖群体10个微卫星基因座位的遗传多态性分析

采用微卫星遗传标记技术对山东近海牙鲆自然群体和养殖群体的遗传多样性进行了研究。实验所用牙鲆于2003年5月分别采自山东近海和青岛胶南养鱼场，各20尾，取全血或肌肉组织，以酚-仿抽提方法提取基因组DNA，利用筛选获得的10对微卫星引物进行PCR扩增，反应产物经8％非变性聚丙烯酰胺凝胶电泳分离、EB显色，用ImageMasterl D Elite(Version 3．01)软件分析电泳结果，并计算了相应的遗传学参数。结果表明，在自然和养殖群体中，10个基因座位的等位基因平均数(α)分别为6．7和6．1，每个基因座位有效等位基因数(αe)分别为1．8—6．8和2．5—6．7，群体平均杂合度(H)分别为0．8120和0．7310；两个群体间的遗传相似性系数、遗传距离和基因分化系数为0．8558、0．1557和0．0558；自然群体内每个座位上的多态信息含量(PIC)为0．59—0．84、个体识别率(DP)为0．54—0．86、非父排除率(PPE)为0．41—0．72，其累积个体识别率和非父排除率均达到0．9999，表明所选座位属中高识别力的遗传标记，可以将它们应用于今后牙鲆雌核发育群体的遗传变异分析以及进一步的遗传育种的研究中。     

Assessment of MSC-certified fish stocks in the Northeast Atlantic

This study examines the status and exploitation level of 31 northern European stocks targeted by fisheries certified by the Marine Stewardship Council (MSC) as being sustainable and well managed. In the first year of certification, 11 stocks (52% of stocks with available data) were exploited above the maximum sustainable level and four stocks (16% of stocks with available data) were outside of safe biological limits. MSC states that it certifies sub-standard stocks because they will improve once they are in their program. However, after a duration of certification of one to ten years (average four years), no significant changes in fishing pressure or stock size were detected. In the last certified year with available data, seven stocks (44% of stocks with available data) were subject to overfishing and five stocks (21% of stocks with available data) were outside of safe biological limits. Certification should guarantee that fishing quotas are set correctly and are enforced. However, in 11 stocks quotas were set 20–60% above the level that fishers were taking, whereas in three stocks landings exceeded quotas by 30–50%. The study concludes that MSC should change its rules such that overfishing or unsafe stock sizes lead to immediate suspension of certification and that no certification is issued in the first place for a stock that is already in such a situation.     

Population,urbanization and economic scenarios over the Belt and Road region under the Shared Socioeconomic Pathways

The countries throughout the Belt and Road region account for more than 60% of the world's population and half of the global economy. Future changes in this area will have significant influences on the global economic growth, industrial structure and resource allocation. In this study, the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development, respectively. The population, urbanization and economic levels of the Belt and Road countries for 2020–2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs), and the following conclusions are drawn.(1) The population, urbanization and economic levels in the Belt and Road region will likely increase under all five pathways. The population will increase by 2%–8%/10 a during 2020–2050 and reach 5.0–6.0 billion in 2050. Meanwhile, the urbanization rate will increase by 1.4%–7.5%/10 a and reach 49%–75%. The GDP will increase by 17%–34%/10 a and reach 134–243 trillion USD.(2) Large differences will appear under different scenarios. The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels, but the population size is comparatively smaller; SSP3 shows the opposite trend. Meanwhile, the economy develops slowly under SSP4, but it has a relatively high urbanization level, while SSP2 exhibits an intermediate trend.(3) In 2050, the population will increase relative to 2016 in most countries, and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double. Urbanization will develop rapidly in South Asia, West Asia and Central Asia, and will increase by more than 150% in the fastest growing countries. The economy will grow fastest in South Asia, Southeast Asia and West Asia, and increase by more than 10 times in some counties with rapid economic development.     

红鳍笛鲷亲鱼培育及产卵技术研究

采用控温、营养强化的方法培育红鳍笛鲷(Lutjanuserythropterus)亲鱼 ,并结合激素诱导使其在1周年内每个月不间断产卵。实验亲鱼454尾 ,培育成活率为96% ,共采卵147150×104粒 ,平均每尾雌鱼年产卵量为541.0×104粒 ,人工催产卵的受精率为40 %～86.2 % ,自然产卵的受精率为68.3%～91.2%。     

Taiwan and China: A unique fisheries relationship

Taiwan and China have a long history of sharing marine resources in the China Seas. However, due to political issues, the two sides have yet to formalize collaboration and interaction despite such a close geographical relationship. The lack of formal collaboration means they cannot manage fisheries or conserve resources as a team. The lack of collaboration in the regional fisheries management organizations also means a mutually beneficial situation for the two sides is yet to be achieved. Recognizing this, the two sides began negotiations in 2008 and have since signed agreements on fisheries co-operation projects. This paper discusses the unique fisheries relationship between Taiwan and China, and the characteristics of their fishing industries. The paper also presents the latest update on the collaboration between the two sides. Finally, this paper proposes practical solutions for resolving outstanding issues between the two sides’ fishing industries.     

Overview,roles, and performance of the North East Atlantic fisheries commission (NEAFC)

According to the 1995 United Nations Fish Stocks Agreement (UNFSA), straddling fish stocks and highly migratory fish stocks are to be managed by Regional Fisheries Management Organisations (RFMOs), consisting of coastal states and relevant Distant Water Fishing Nations (DWFNs). In the North East Atlantic there are several straddling stocks, including herring, mackerel, blue whiting, redfish and numerous deep sea stocks that are exploited both within coastal states’ 200 mile Exclusive Economic Zones and on the high seas. Management of such stocks poses special management problems. In this area, the North East Atlantic Fisheries Commission (NEAFC) represents the relevant RFMO. So far the literature has devoted little attention to RFMOs in general and to NEAFC in particular. The purpose of this report is, first, to provide an overview of the organisation, structure, and objectives of NEAFC and, second, to consider its performance with regard to resource management.     

BCC-CSM2-MR模式对北极海冰和气候的模拟及预估

基于第六次耦合模式比较计划(CMIP6),使用新一代全球模式BCC-CSM2-MR的历史试验和未来共享社会经济路径(SSPs)数据,依据Hadley中心的海表面温度和海冰密集度数据及NCEP/NCAR I再分析资料,评估了BCC-CSM2-MR模式对北极海冰及北极气候的模拟能力,并对未来变化进行了预估.结果表明:BCC...     

Ensemble flood risk assessment in Europe under high end climate scenarios

At the current rate of global warming, the target of limiting it within 2 degrees by the end of the century seems more and more unrealistic. Policymakers, businesses and organizations leading international negotiations urge the scientific community to provide realistic and accurate assessments of the possible consequences of so called “high end” climate scenarios.This study illustrates a novel procedure to assess the future flood risk in Europe under high levels of warming. It combines ensemble projections of extreme streamflow for the current century based on EURO-CORDEX RCP 8.5 climate scenarios with recent advances in European flood hazard mapping. Further novelties include a threshold-based evaluation of extreme event magnitude and frequency, an alternative method to removing bias in climate projections, the latest pan-European exposure maps, and an improved flood vulnerability estimation.Estimates of population affected and direct flood damages indicate that by the end of the century the socio-economic impact of river floods in Europe is projected to increase by an average 220% due to climate change only. When coherent socio-economic development pathways are included in the assessment, central estimates of population annually affected by floods range between 500,000 and 640,000 in 2050, and between 540,000 and 950,000 in 2080, as compared to 216,000 in the current climate. A larger range is foreseen in the annual flood damage, currently of 5.3 B€, which is projected to rise at 20–40 B€ in 2050 and 30–100 B€ in 2080, depending on the future economic growth.