岛屿海岸线自动化提取及其时空变迁研究——以大连市獐子岛为例

海岸带是受人类活动和全球海平面上升影响的敏感地带,海岸线的提取和监测是海岸带生态系统研究和社会管理的重要内容。本文在遥感和地理信息系统的支持下,以修正的归一化水体指数(Modified Normalized Difference Water Index,MNDWI)为基础,结合遥感影像处理和直方图均衡化等技术,实现了大连市獐子岛1985—2016年海岸线的自动化提取。结果表明:(1)通过与三位专家目视解译的成果比对,本文提取海岸线的精度能满足后续研究的要求(相对误差分别为0.045%,0.032%和0.023%);(2)近30年来,獐子岛海岸线总体呈现蚀退趋势,岸线长度与岛屿面积分别呈现变短和变小的趋势,獐子岛(主岛)和大耗岛的岸线蚀退速率最大,褡裢岛次之,小耗岛最小;在人类活动较为密集的区域,海岸线呈现出较为强烈的增长趋势,海水养殖和圈海建坝是岸线增长的主要驱动力;(3)獐子岛海岸线具有显著的分形性质,分形维数随时间呈现增大的趋势,獐子岛(主岛)的分形维数最大,褡裢岛的分形维数最小。     

Fish assemblage structure in the hypoxic zone in the Changjiang (Yangtze River) estuary and its adjacent waters

Fish assemblage structure in the hypoxic zone in the Changjiang (Yangtze River) estuary and its adjacent waters were analyzed based on data from bottom trawl surveys conducted on the R/V Beidou in June, August and October 2006. Four fish assemblages were identified in each survey using two-way indicator species analysis (TWIA). High fish biomass was found in the northern part, central part and coastal waters of the survey area; in contrast, high fish diversity was found in the southern part of the survey area and the Changjiang estuary outer waters. Therefore, it is difficult to maintain high fishery production when high fish diversity is evenly distributed in the fish community. Fish became smaller and fish size spectra tended to be narrower because of fish species variations and differences in growth characteristics. Fish diversity increased, the age to maturity was reduced and some migrant species were not collected in the surveys. Fish with low economic value, small size, simple age structure and low tropic level were predominant in fish assemblages in the Changjiang estuary and its adjacent waters. The lowest hypoxic value decreased in the Changjiang estuary and its adjacent waters.     

短期饥饿胁迫下（鱼免）鱼（Miichthys miiuy）早期生活阶段的生长及消化酶活性研究

采用实验生态学方法,研究了饥饿胁迫对（鱼免）鱼（1—7日龄前期仔鱼,26—35日龄后期仔鱼,42—53日龄稚鱼）的生长、存活及消化酶（淀粉酶、脂肪酶、胰蛋白酶）活性的变化。结果表明,短期饥饿（2天）会显著降低前期仔鱼生长及消化酶活性;在后期仔鱼和稚鱼中,产生这种影响的饥饿时间分别为饥饿后3和6天,表明（鱼免）鱼仔、稚鱼...     

昼夜垂直移动对黄海中南部小黄鱼可捕系数的影响

鱼类的昼夜垂直移动是影响渔业资源调查可捕系数的重要因素之一,对调查获得的各种渔获物资源量指数（abundance index,AI）进行校正,对优化估计物种的空间分布和资源量估算有重要作用。本文以黄海中南部小黄鱼为例,利用2006-2009年和2011年黄海秋季底拖网渔业资源调查数据,应用地理统计二阶广义线性混合模型,量化了昼夜时段对黄海中南部小黄鱼AI的影响。不同昼夜时段对AI的随机效应系数表明,在黄海中南部秋季渔业资源调查中,底拖网对小黄鱼的可捕系数存在明显的昼夜变化:在午夜23点到凌晨3点间,可捕系数最低;凌晨3点后,可捕系数逐渐增大,直至9点达到峰值;在中午10点至下午16点,可捕系数小幅度降低后保持相对稳定,随后急剧下降;傍晚19点以后,可捕系数处于相对较低水平,直至午夜23点后降至最低水平。本研究通过地理统计二阶广义线性混合模型,去除了昼夜垂直移动对小黄鱼可捕系数的影响,预测的小黄鱼空间密度分布与其AI实际观测值以及渔场空间格局基本一致。另外,模型估计的2006-2009年和2011年秋季黄海中南部小黄鱼的总资源量指数相对扫海面积法的估计值精确度更高,且其变动趋势与黄海中南部沿岸两省（山东和江苏）小黄鱼次年总渔获量的变动情况一致。     

Fish assemblage structure in the hypoxic zone in the Changjiang (Yangtze River) estuary and its adjacent waters

Fish assemblage structure in the hypoxic zone in the Changjiang (Yangtze River) estuary and its adjacent waters were analyzed based on data from bottom trawl surveys conducted on the R/V Beidou in June, August and October 2006. Four fish assemblages were identified in each survey using two-way indicator species analysis (TWIA). High fish biomass was found in the northern part, central part and coastal waters of the survey area; in contrast, high fish diversity was found in the southern part of the survey area and the Changjiang estuary outer waters. Therefore, it is difficult to maintain high fishery production when high fish diversity is evenly distributed in the fish community. Fish became smaller and fish size spectra tended to be narrower because of fish species variations and differences in growth characteristics. Fish diversity increased, the age to maturity was reduced and some migrant species were not collected in the surveys. Fish with low economic value, small size, simple age structure and low tropic level were predominant in fish assemblages in the Changjiang estuary and its adjacent waters. The lowest hypoxic value decreased in the Changjiang estuary and its adjacent waters.     

黄海渔业资源密度空间插值方法的比较研究

空间插值是渔业生态学研究,特别是海洋生态系统模型构建中的常用工具。为找到适合黄海渔业资源密度的插值方法,本文对四种常用的空间插值方法进行了比较研究。四种插值方法分别为反距离加权（Inverse distance weighted,IDW）、全局多项式（global polynomial interpolation,GPI）、局部多项式（local polynomial interpolation,LPI）和普通克里格（ordinary kriging,OK）。采用交叉验证分析（cross-validation diagnostic）确定不同插值方法的准确度。同时,结合渔业资源密度空间分布的可视化表达,比较不同插值方法结果的优劣。结果表明,原始的生物学数据具有典型的非正态分布特征,对数转化方法能让其显著地接近或符合正态分布。四个调查阶段中,指数模型在2014年8月和10月为最佳半方差函数,2015年1月和5月数据具有明显的纯块金效应。配对样本T检验表明,预测数据和实测数据之间没有显著差异（P>0.05）。交叉验证结果表明,OK在2014年10月插值效果最好,IDW在剩余的三个航次表现最佳,GPI和LPI表现效果不佳。OK在空间分布的可视化表达方面效果最好,既不像IDW一样有较多的“牛眼”效应,也不像GPI和LPI一样具有过多的平滑效果。然而,纯块金效应的存在有时会影响OK的应用。综上所述,我们推荐操作简单且处理快速的IDW作为黄海渔业资源密度常规的插值方法。     

Deposition of duststorm particles during 2000–2012 in the South Yellow Sea,China based on satellite data

In this study,about 220 satellite images between 2000 and 2012 were obtained from FY-series,MODIS,CBERS,HJ-1A and HJ-1B to estimate the impact of duststorms on the South Yellow Sea(SYS),which serve as an important source of particles there.The analyzing results from the images support a total occurrence of 88 duststorms(including the locally-generated dusty weather) that affected the SYS during 2000–2012.The annual occurrence was about 4–10 times(10 times in 2000 and 2004;four times in 2009 and 2012),predominantly in March(29%),April(33%) and May(22%).By mapping the distribution of their frequency,the duststorms influencing the SYS were found primarily moving from the northwest(39 times,44.3%) and west(37 times,42%) to the study region with only 11 duststorms(12.5%) coming from the north and 1 duststorm(1%) from the southwest.We estimated that an annual amount of 0.5–3.5 million tons of sediment particles was brought to the SYS by the duststorms during 2000–2012.     

基于数字化海岸分析系统(DSAS)的海岸线变迁速率研究:以黄河三角洲和莱州湾海岸线为例

海岸线变化对海岸带生态环境改变、滨海土地侵蚀有着极其重要的影响,海岸线的提取和监测对海岸带生态系统的保护和管理具有重要意义。本研究基于数字化海岸线分析系统(DSAS,Digital Shoreline Analysis System),研究了黄河三角洲和莱州湾的海岸线时空变化规律。研究结果表明:通过提取1985-2015年6期的Landsat影像,发现近30年来黄河三角洲和莱州湾地区海岸线均呈现显著的向海方向扩张的趋势,且增长速率逐渐加快。黄河三角洲的终点变化速率(EPR,End Point Rate)约为73.0 m/a、线性回归速率(LRR,Linear Regression Rate)约为75.5 m/a,黄河港-大咀沟增长速度最快(129.2 m/a),受黄河泥沙输送的影响,黄河口和老黄河口岸线的几何形态呈现平滑的变化趋势;莱州湾岸线的EPR和LRR约为139.5 m/a和144.3 m/a,淄脉河河口-白浪河河口段增长速度最快(197.6 m/a),岸线变化较为显著的区域主要集中在港口、圈海堤坝、海水养殖等的地方。DSAS模型在海岸线定量化分析中具有显著优势,利用EPR和LRR指标能够科学有效地模拟岸线在时间和空间上的变化速率。     

辽东湾海蜇增殖放流模式的建立和应用

基于中国近海浪-流耦合业务化预报系统（OFS-C）和Lagrangian粒子追踪方法,本文首次建立了辽东湾海蜇增殖放流模型。模型中,海蜇用虚拟的粒子表示,具有昼夜垂直运动（DVM）特性。海蜇运动由海流和次网格参数化引起的随机运动驱动。利用航次调查数据对模型结果进行了验证,模式结果可以很好的模拟放流海蜇分布的主要结构。模型分析了物理过程对辽东湾放流海蜇的输运和分布的影响,结果显示海蜇运动主要受海流和间接的风应力的影响。放流地和捕捞地的连通性分析表明,辽东湾海蜇的主要捕捞地集中于湾顶。另外,连通性矩阵表明,瓦房店放流的部分海蜇不能到达捕捞地,因此,相对于其它放流地来说,瓦房店不是理想的放流地。敏感性实验表明了随机游走的重要性,但是对于游走格式并不敏感。海蜇栖息的深度会影响海蜇最终的分布,若海蜇栖息于海底,则在低层环流的影响下,最终分布于辽东湾中部,部分会流出辽东湾,而不能到达湾顶。     

Changes in fish diversity and community structure in the central and southern Yellow Sea from 2003 to 2015

The central and southern Yellow Sea is an important overwintering ground for many fish species in the Bohai Sea and Yellow Sea. For better understanding the status of the fish community after years of heavy exploitation, variations in fish community structure and diversity were analyzed using data from bottom trawls during 2003–2015. Five fish assemblage indices all showed fluctuations without clear trends from 2003 to 2015, yet there were strong positive and significant correlations(P 0.05) among them. The top-five dominant species accounted for a high weight percentage(49.7%–82.1%) in the annual fish catch. Multivariate analysis showed that two year groups could be pooled for the fish community: Group Ⅰ consisted of the years 2006, 2007, 2008 and 2015, while Group Ⅱ consisted of the years 2003, 2004, 2005, 2009, 2010 and 2014; the groups aggregated with 63.71% similarity, indicating a high level of similarity among all years. The multivariate dispersion values were 1.455 and 0.818 for Groups Ⅰ and Ⅱ, respectively, indicating greater variances in fish assemblage structure in Group Ⅰ than that in Group Ⅱ. Similarity of percentage analysis demonstrated that the average similarities for Group Ⅰ and Group Ⅱ were 71.58% and 67.51%, respectively. Size-spectra analysis revealed no consistent trend in the intercept and slope( P 0.05); there were also no significant differences between the slope of the size-spectra and fishing ef fort. The catch per unit ef fort and mean individual weight analyses of the whole fish assemblage both showed a significantly decreasing trend over time. Overall, the results showed that the fish community structure in the central and southern Yellow Sea was relatively stable from 2003 to 2015 and the study could be used as a reference for supporting ecosystem-based fishery management.