环境因子对黄海南部春季帆张网小黄鱼和黄鮟鱇渔获分布的影响

帆张网渔业是黄海南部重要的渔业捕捞方式之一.本文根据2006-2009年春季黄海南部帆张网的渔获数据,利用广义线性模型(GLM)和广义加性模型(GAM)定量研究了年份、位置、水深和海水表层温度(SST)对小黄鱼和黄鮟鱇渔获量分布的影响.结果表明:GAM模型较GLM模型可以更好地解释小黄鱼和黄鮟鱇单位捕捞努力量渔获量(CPUE)时空分布与环境因子之间的关系.小黄鱼和黄鮟鱇CPUE呈显著负相关,小黄鱼CPUE呈现由北向南沿纬度方向逐渐减小的趋势,尤其在长江口周围较小;黄鮟鱇CPUE在长江口附近也较小.SST对小黄鱼和黄鮟鱇CPUE的影响显著,小黄鱼和黄鮟鱇适宜表温范围分别为9～11℃和9～14℃.     

气候环境因子和捕捞压力对南海北部带鱼渔获量变动的影响

带鱼(Trichiurus japonicas)是南海北部的重要经济鱼类,其渔获量的变化不仅与捕捞压力有关,还与气候环境变化有关.为了研究气候变化和捕捞对南海北部带鱼渔获量变动的影响,使用长时间序列渔业统计资料和气候变化数据对1956-2006年的南海北部带鱼渔获量变动进行了分析.南海北部的带鱼渔获量变化可划分成因捕捞效应所产生的趋势变化和因气候环境变化所导致的渔获量变动.捕捞效应所产生的趋势变化可用Fox模型拟合,Fox模型拟合结果显示南海北部带鱼渔获量与捕捞努力量关系显著(P＜0.01),说明捕捞压力的增长显著影响到南海北部带鱼渔获量的变化.移除捕捞效应所产生的趋势变化后,渔获量变动与中国南方降雨、南海北部海表水温、南海北部夏季季风以及南海北部冬季季风等气候因子呈显著正偏相关(P＜0.04),与热带气旋影响指数呈显著负偏相关(P＜0.03),这种相关说明南海北部带鱼渔获量变动还受气候环境因子的影响.南海北部带鱼渔获量可用捕捞努力量和气候变量来拟合,且拟合效果显著(R2=0.958,P＜0.01),表明南海北部带鱼渔获量的变动归因于捕捞压力的单调增长和气候环境的变化.在南海北部的捕捞压力维持在现有水平下,未来的气候变化和人类活动引起营养盐的增加都可能有利于南海北部带鱼渔业产量的增加,且由于未来极端天气事件的频繁发生,可能还会引起带鱼渔获量的变动幅度加剧.     

莱州湾及黄河口水域渔业生物多样性及其保护研究

莱州湾是黄渤海渔业生物的主要产卵场、栖息地和渤海多种渔业的传统渔场。不同时期按季节进行的多试捕调查结果表明：莱州湾渔业生物的资源量、优势度和多样性指数发生了显著的变化。１９５９、１９８２、１９９２～１９９３和１９９８年的平均单位网次渔获量分别为２５８、１１７、７７．５和８．５ｋｇ／ｈ,渔业资源呈现持续衰退的趋势。８０年代以来带鱼、小黄鱼等大型底于类为黄鲫、Ｔｉ鱼等小型中上层鱼类所替代,渔业生物群落     

浙江南部近海小黄鱼资源分布及其与环境因子的关系

根据2015—2016年浙江南部近海4个航次的底拖网资源调查数据,利用广义可加模型分析了调查期内小黄鱼资源的分布特征及其与环境因子的关系.结果表明:浙江南部近海的小黄鱼资源主要集中在鱼山渔场,夏季为小黄鱼资源的高产期,站点平均资源密度达到500.74 kg·h^-1·km^-2.不同季节影响小黄鱼资源密度及其分布的环境因子各不相同.其中,环境因子对秋季小黄鱼资源密度的影响效果并不显著.春季,小黄鱼主要分布于水深较浅的高盐水域;夏季,水温和盐度均与小黄鱼资源密度呈负相关关系,小黄鱼主要分布于中温高盐的鱼山海域;冬季,水温与资源密度呈正相关,小黄鱼栖息于水温适宜的外侧站点水域.总体上,小黄鱼资源的分布特征符合其洄游习性,但个别环境因子与资源密度的关系难以解释,仍需进一步研究.研究结果有助于了解浙江南部近海小黄鱼群体的生活习性,以及对小黄鱼资源的养护和管理.     

基于GAM模型的阿拉伯海鲐鱼渔场分布与环境关系

基于2016-2017年中国印度洋围拖网生产数据以及同期的海表温度、叶绿素、表层海流和海面高度数据,采用广义加性模型(Generalized Additive Model,GAM)建立了围网单位捕捞努力量渔获量(catch per unit effort,CPUE)对海洋环境的非线性响应模型,分析了阿拉伯海鲐鱼(Scomber australasicus)渔场分布与海洋环境关系.结果表明:空间因子和环境因子对阿拉伯海鲐鱼渔场有显著影响,GAM模型的方差解释率为30.1%;印度洋季风对鲐鱼CPUE影响大,鲐鱼CPUE在印度洋东北季风高,在夏季季风低;全年阿拉伯海鲐鱼围网渔场主要分布在60°E、13°N-15°N斜向椭圆区域;模型表明,鲐鱼渔场适宜海表温度为26~28℃,叶绿素浓度0.2~0.5 mg·m^-3,海面高度0.2~ 0.4 m;影响鲐鱼渔场的因子按重要性依次为海面高度、经纬度、海表温度和叶绿素浓度.     

舟山渔场主要渔业资源利用现状

用主成分分析对我国舟山渔场9个主要渔业种类的资源变动特征和利用现状进行了研究．结果表明,大黄鱼、小黄鱼等9种主要渔业资源可分为已经衰退的资源、已经充分利用的资源、处于利用中期的资源和开发期的资源4类．大黄鱼(Pseudosciaena crocea)、墨鱼(Sepiella maindroni rochebrune)已进入衰退期;带鱼(Trichiurus haumela)、鲐鱼(Pneumatophorus japonicus,Decapterus maruadsi)已处于充分利用期;鳗鱼(Muraenesax cinereus)、小黄鱼(Pseudosciaena polyactis)和鲳鱼(Pampus)正处于增长期;虾蟹类处于开发期．因此,根据资源的现状,合理地开发利用渔业资源是我国海洋渔业资源可持续利用的关键．     

带鱼吸虫区系及其在我国渔场的分布

带鱼Trichiurus haumela(Forsk(?)l)是我国主要海产鱼类之一,渔获量在近十年来逐年增长,居海产鱼类的首位,是机轮和机帆的重要捕捞对象,经济意义非常重大。 带鱼广泛分布于印度—西太平洋。我国渤、黄、东、南各海水域都有分布,栖息水深一般在140米以內的近海区,我国西沙群岛等外海则无分布。     

基于广义可加模型的时空和环境因子对东南太平洋智利竹筴鱼渔场的影响

根据2001-2007年我国渔船在东南太平洋海域的智利竹筴鱼生产统计数据、时空因子以及海表温度、叶绿素浓度、海表温度梯度等环境数据,利用广义可加模型（GAM）分析了智利竹筴鱼资源变动情况及其与时空和环境因子的关系.结果表明：GAM模型对单位捕捞努力量渔获量(catch per unit effort,CPUE)总偏差解释率为31.47%;竹筴鱼生产具有明显的季节变化,主要集中在第17～41周,其中第25～31周的CPUE较高;东南太平洋智利竹筴鱼作业渔场集中在78°-98° W,30°-435° S之间,适宜海表温度为12 ℃～18 ℃,14 ℃～16 ℃最适宜,适宜叶绿素浓度在0.09～0.18 mg·m^-3,海表温度梯度在0.3 ℃～1.9 ℃.逐步建模法结果表明,影响竹筴鱼资源丰度的因子按重要性从大到小依次为周次、年份、海表温度、经度、纬度、叶绿素浓度和海表温度梯度.     

舟山渔场产卵场保护区春季小黄鱼群体结构及资源动态

根据2014—2019年舟山渔场产卵场保护区及邻近海域底拖网调查资料,分析了春季小黄鱼的群体结构、资源密度变化及其与环境因子的关系。结果表明: 小黄鱼的体长-体重关系式为: W=0.44×10^-4×L^2.78,b值<3,说明近年来小黄鱼为负异速生长,肥满度与体长呈负相关,身体趋于细长。2014—2019年小黄鱼的体长和体重均以2014年最高、2019年最低。2014年以来,舟山渔场产卵场保护区及邻近海域小黄鱼的群体规格逐渐减小,说明近年来小黄鱼个体小型化现象并未改善。与产卵场保护区设立前的数据相比,保护区建立后小黄鱼资源密度有所提升,表明保护区管护对小黄鱼的资源恢复起到了一定的保护作用。GAM模型拟合结果显示,与保护区及周边海域小黄鱼资源密度分布关系密切的环境因子主要是水深和底层水温。随着水深的增加,小黄鱼资源量呈波动上升趋势,在水深60 m附近时资源量最高;在12~16 ℃水温范围内,小黄鱼资源量随底层水温升高而增大;当水温>16 ℃时,其资源量随底温的上升而下降。     

基于地理加权模型的南设得兰群岛北部南极磷虾渔场空间分布影响分析

结合南极磷虾渔业科学观察员收集的渔业数据和海洋环境数据,本研究利用地理加权回归模型(GWR),分析了具有空间属性的虾群深度和离岸距离两个因子,以及海水表温对南设得兰群岛北侧水域南极磷虾渔场空间分布的影响.结果表明:各年南极磷虾渔业单位捕捞努力量渔获量(CPUE)在空间上的分布无显著的集聚性;2010和2013年,3个因子之间存在空间自相关性(正相关),而2012和2016年则无自相关性.GWR模型结果显示,3个因子对CPUE的空间分布具有不同程度的影响,影响程度大小依次为虾群深度>离岸距离>温度.拟合结果发现,南设得兰群岛东、西两侧水域中表温对CPUE空间分布的影响与其他两个因子具有相反的趋势.虾群深度和离岸距离对CPUE的空间效应主要表现为负相关,但存在着年际和区域性差异.本研究结果可为南极磷虾渔场形成机制研究提供方法上的参考.     

Spatio‐temporal dynamics in the location of the fishing grounds and catch per unit effort (CPUE) for Chilean jack mackerel (Trachurus murphyi Nichols, 1920) from Chinese trawl fleets on the high seas of the Southeast Pacific Ocean, 2001–2010

The decadal spatio‐temporal distribution of the fishing effort and catch per unit effort (CPUE) for Chilean jack mackerel, Trachurus murphyi, stock are poorly understood. Data from the Chinese jack mackerel fleet was used to describe the location of the fishing effort and the relationship between standardized CPUE and sea surface temperatures (SST) during the period 2001–2010. A significant change in the spatio‐temporal distribution of fishing effort and standardized CPUE was observed for jack mackerel during the study period. From January to March, the average CPUE was generally <15 tonnes (t) per net, except for 2007–2009. CPUE increased significantly during the autumn‐winter (April to August), then gradually decreased in the spring and early summer (September to December). Average standardized CPUE in 2001–2005 was 23.3 t per net, but decreased to 19.7 t per net in 2006–2010. The change in the gravity center location of CPUE between months was similar during the primary fishing period (autumn to winter) in 2001–2006. After 2006, the pattern began to differ in July–October, which resulted in fishers spending more time to search for aggregations. A seasonal change was observed in the range of SSTs associated with high CPUE. Generally, the optimal SST range was from 13.0–15.0°C in autumn, 12.0–14.0°C in winter, 13–16°C in spring, and 15–19°C before 2006. However, a 1–2°C decrease in the optimal range in recent years was associated with a shift in the fishing grounds location to the southern area. In 2009, the optimal SST range was lower than in all other years. Taken together, the results suggest that a more thorough understanding of the seasonal or decadal relationship between SST and location of the fishing grounds is critical to improving the efficiency of the fishery and its management.     

黄海中南部小黄鱼生物学特征的变化

国家重点基础研究规划项目（2006CB400608）;国家自然科学基金项目（30371104,40906086）;山东省泰山学者专项基金;中央级公益性科研院所基本科研业务费专项基金资助     

气候变化对冬季东海外海中下层游泳动物群落结构及重要经济种类的影响

以全球气候变暖为主要特征的全球气候变化对海洋生物和海洋生态系统造成的影响已引起国际学者的高度关注。根据中国14家国营渔业公司底拖网渔业生产和渔业资源大面定点调查获得的17种中下层渔业数据,结合1960—2011年东海北部水域海表温度的变化情况,利用Fox模型移除捕捞效应产生的趋势变化后,分析了气候变化对中、下层游泳动物群落结构及几种重要经济种类的影响。通过气候跃变检验分析发现,海表温度在整体变暖的趋势上叠加有年代际波动,研究水域分别在1982/1983年发生了从寒冷期(1960—1982年)向升温期(1983—1998)、经由1998/1999年再到温暖期(1999—2011年)的跃变。群落结构变化特征显示:相比于寒冷期,温暖期间底层类和大型捕食类资源指数降低,中层类和无脊椎类升高;暖水种资源指数升高,暖温种降低;生物多样性指数略有增加。移除捕捞效应后,对不同生态属性种类CPUE与海表温度距平进行相关分析显示:底层类、中层类和无脊椎类残差与海表温度距平均呈正相关关系,其中中层类与海表温度距平显著正相关,而大型捕食类则呈负相关关系;暖水种残差与海表温度距平呈正相关,而暖温种则呈负相关关系。中层类中的黄鲫(Setipinna taty)、银鲳(Pampus argenteus)的CPUE残差均与海表温度距平呈显著正相关关系,近底层类中的带鱼(Trichiurus japonicus)和头足类(Squid)的CPUE残差均与海表温度距平呈正相关关系,而底层类小黄鱼(Larimichthys polyactis)和对虾(Shrimp)则呈负相关关系。在气候变化的大背景下,需加强其对海洋生态系统结构和功能影响的研究,查明渔业资源对气候变化的响应机制和机理,制定科学有效的渔业管理制度,实现渔业资源的可持续发展。     

Genetic divergence and historical demography in the endangered large yellow croaker revealed by mtDNA

Due to high level of fishing, many marine fish species are in danger of becoming extinct. The large yellow croaker, Larimichthys crocea, was once an important commercial marine species in China. At present, this croaker is seldom captured in the wild. In this work, mitochondrial DNA data was obtained from five populations of the yellow croaker from the Yellow Sea and the East China Sea to investigate their genetic divergence and demographic history. Results of phylogenetic analysis suggest two genetic lineages for this croaker, although the divergence was relatively shallow. This might reflect the effects of glacial isolation on population structure. Furthermore, our Bayesian based approach showed that the effective population size for both genetic lineages experienced recent sharp decline. This study provides new insights into the genetic divergence and historical demography of this croaker. Strict measures must be taken to protect this species.     

Multi-mesh gillnets to estimate species composition and catch per unit effort of fish in a small water body in Zambia

A standard method comprising multi-mesh monofilament nylon gillnets and depth stratification, the Drottningholm method, was employed in test fishing of a small Zambian reservoir (32 ha) on eight occasions over 1 year. The catch per unit effort (cpue) from the 0–3 and 3–6 m zone was timated with benthic and pelagic nets, while in the 6–12 m zone only benthic nets were used. Results include species caught and cpue with coefficients of variation and confidence intervals, for net types and depth zones. A total of 11 species were caught, of which Burbus paludinosus , B. marequensis , Laheo cylindricus , and Oreochromis sp. dominated. Coefficients of variation did not indicate a preferable season for test fishing. During the cold season some species were not caught. The applicability of the method in estimation of species composition and cpue is discussed.     

基于集成模型的小黄鱼越冬群体适宜生境及其环境影响因素

小黄鱼是中韩渔业共同利用鱼种,其跨界洄游习性限制了对越冬场范围的调查和评估,导致对越冬群体适宜栖息地分布缺乏了解。本研究基于越冬期我国自然海域的物种分布点位数据和5个环境数据,运用8个物种分布模型(SDM)分析了小黄鱼越冬场分布范围,采用5折交叉验证,利用受试者工作特征曲线下面积(AUC)评价模型预测性能,并通过加权集成方法构建综合生境模型预测越冬场核心分布位置。结果表明: 出现/未出现数据模型预测准确度普遍高于仅出现模型;在出现/未出现数据模型中,机器学习方法预测准确度高于经典回归模型,支持向量模型(SVM)准确度最高(AUC=0.85),广义线性模型(GLM)准确度最低(AUC=0.73)。集成模型AUC较单一独立模型的准确度有所提升,表明集成模型能有效降低单一独立模型所带来的不确定性,提高模型预测准确度。变量重要性分析结果显示,盐度和温度是决定小黄鱼越冬场地理分布的重要因素,适宜分布区集中在黄海南部外海、东海北部外海和浙江省沿岸海域,而黄海南部沿岸海域和东海中南部外海为不适宜越冬区。研究结果为预测小黄鱼潜在越冬场提供了理论基础,可支撑越冬场渔业资源的空间规划和可持续利用。     

Catch Composition on Red Shrimps’ (Aristaeomorpha foliacea and Aristeus antennatus) Grounds in the Eastern Ionian Sea

In the present study, the catch composition and the catch per unit effort (CPUE) by weight and numbers in red shrimps’ (Aristaeomorpha foliacea and Aristeus antennatus) grounds was examined in the southern part of the eastern Ionian Sea, in order to collect important information for the Greek waters, where no deep-water fishery exists. In the depth stratum 500–700 m, the catch of the commercial species represented a high proportion (>70%) of the total catch. Red shrimps and several other commercial species were found in important quantities. The present results suggest the possibility of developing a deep-water fishery in Greece. In such a case, attention should be paid because of the high vulnerability of A. foliacea – the main deep-water fishing resource in the area – to the fishing pressure.     

Exploring Spatiotemporal Trends in Commercial Fishing Effort of an Abalone Fishing Zone: A GIS-Based Hotspot Model

Assessing patterns of fisheries activity at a scale related to resource exploitation has received particular attention in recent times. However, acquiring data about the distribution and spatiotemporal allocation of catch and fishing effort in small scale benthic fisheries remains challenging. Here, we used GIS-based spatio-statistical models to investigate the footprint of commercial diving events on blacklip abalone (Haliotis rubra) stocks along the south-west coast of Victoria, Australia from 2008 to 2011. Using abalone catch data matched with GPS location we found catch per unit of fishing effort (CPUE) was not uniformly spatially and temporally distributed across the study area. Spatial autocorrelation and hotspot analysis revealed significant spatiotemporal clusters of CPUE (with distance thresholds of 100’s of meters) among years, indicating the presence of CPUE hotspots focused on specific reefs. Cumulative hotspot maps indicated that certain reef complexes were consistently targeted across years but with varying intensity, however often a relatively small proportion of the full reef extent was targeted. Integrating CPUE with remotely-sensed light detection and ranging (LiDAR) derived bathymetry data using generalized additive mixed model corroborated that fishing pressure primarily coincided with shallow, rugose and complex components of reef structures. This study demonstrates that a geospatial approach is efficient in detecting patterns and trends in commercial fishing effort and its association with seafloor characteristics.