东北大西洋海洋捕捞渔获物营养级变化研究

东北大西洋是重要的海洋捕捞海域,该海域渔业栖息环境易受北极气候变化的影响。为此,本文基于1950-2012年东北大西洋FAO的渔获统计数据,对已开发的293种渔获物平均营养级(mTL)、营养级平衡指标(FIB)和渔获营养级分类(TrC)进行时间序列的统计,为进一步研究该海域渔业资源受北极气候变化的影响提供基础。研究认为,平均营养级(mTL)从1950年(mTL=3.71)下降至2012年(mTL=3.57),每年下降约0.02TL(r=-0.614;P<0.01),而近8年来营养级平衡指数持续下降。同时,研究表明,东北大西洋渔获物平均营养级和气候变化(海表温上升、北大西洋涛动和海冰缩减等)息息相关,其中渔获量出现高产值均在海表温异常年份:1956年、1976年和1997年。本文分析了东北大西洋渔获物营养级变动情况,为研究东北大西洋渔获组成变化与气候变化的关系提供研究基础,也为渔业资源的可持续开发提供了理论依据。     

An assessment of “fishing down marine food webs” in coastal states during 1950–2010

渔获物平均营养级（Mean trophic level of fishery landings,MTL）是目前评估人类捕捞活动影响的研究中使用最广泛的生物多样性指标之一。根据联合国粮农组织FAO提供的渔获生产统计数据,结合Fishbase提供的相关鱼种营养级数据,本文评估了1950-2010年太平洋、大西洋和印度洋各沿海国海洋渔业开发状态。研究发现,在全球三大洋75个主要捕捞国中,43个国家MTL呈显著下降趋势,发生了Pauly于1998年提出的“捕捞降低海洋食物网”现象;但是,仅16个国家MTL的下降是由于高营养级种类的衰退,而27个国家属于“捕捞沿着海洋食物网”的下降机制。此外,20个国家MTL呈恢复上升趋势,但是,该恢复上升趋势通常伴随着传统低营养级种类产量的大幅下降;在上述20个国家中,11个国家的低营养级鱼类产量呈显著下降趋势。需谨慎分析“捕捞降低海洋食物网”现象,掌握MTL的潜在变化机制。     

An evaluation of underlying mechanisms for “fishing down marine food webs”

自1998年“捕捞降低海洋食物网”概念首次提出以来,渔获物平均营养级（Mean trophic level of fisheries landings,MTL）广泛用于评估捕捞活动对生态系统完整性的影响,并指导管理机构的政策制定。近年来研究表明,掌握MTL的潜在变化机制对于以MTL作为渔业可持续性指标至关重要。根据联合国粮农组织FAO提供的渔获统计数据,结合Fishbase提供的相关鱼种营养级,本文探讨了全球三大洋14个FAO渔区MTL的变化趋势,并进一步分析不同MTL变化趋势下高营养级鱼种和低营养级鱼种渔获量的变动情况。研究表明, MTL呈上升和回升状态均可能伴随着低营养级鱼种渔获量的下降。此外,通过观察营养级高于3.25鱼种的MTL以区分“捕捞降低海洋食物网”和“捕捞沿着海洋食物网”现象需考虑生态系统的群落结构和开发历程。利用渔获物平均营养级评价渔业可持续性必须综合考虑高营养级和低营养级鱼种,以及群落结构和开发历程的掩盖效应。     

长山群岛海洋渔业资源的平均营养级变化特征

根据长山群岛 1965-2016 年渔业统计资料,分析长山群岛海域主要捕捞渔获物产量、平均营养级 （Mean trophic level, MTL）、渔业均衡指数 （Fishing in balance index,FiB） 年际变化,探讨其海洋渔业资源利用状况,并利用小波分析方法研究52年来渔获物 MTL 周期变化特征。研究表明： （1） 长山群岛捕捞产量、MTL 和 FiB 指数呈阶段性变化; （2） 长山群岛渔业资源开发经历初期开发、扩张捕捞、过度捕捞、资源破坏等四个阶段,渔业资源环境正在逐渐恶化;（3） 受人类捕捞活动影响,MTL 在 15~19 年和 24~34 年两种时间尺度下呈周期波动,30 年为第一主周期,17 年为第二主周期。长山群岛渔业资源破坏日益严重,未来几年平均营养级将呈下降趋势。为防止渔业资源进一步衰退,应加强捕捞活动管理力度,落实海洋渔业资源保护制度;完善预警机制,构建海洋渔业资源监测系统;同时应积极调整长山群岛渔业产业结构,提高资源产出效率.     

西北太平洋沿海国海洋渔业资源可持续利用评价

根据联合国粮农组织FAO提供的1950—2010年西北太平洋各沿海国的渔获生产统计数据,结合Fishbase提供的相关鱼种营养级(TL)以及Sea Around Us Project Database提供的无脊椎动物营养级,探讨了61年来西北太平洋各沿海国渔获物平均营养级的变化情况,以此判定各沿海国海洋渔业资源可持续利用情况。结果表明:除朝鲜外,其他沿海国均出现"捕捞对象沿着海洋食物网向下移动"的现象;中国、日本、韩国、俄罗斯渔获物平均营养级降低的速度分别为0.26/10a、0.21/10a、0.24/10a、0.15/10a;由于各国采取的渔业管理措施不同,导致各国渔业资源出现不同的现状。渔获物平均营养级的变化情况能够反映捕捞活动下各海域海洋生态系统的变化情况,建议西北太平洋各沿海国建立起基于渔获物统计的海洋渔业资源可持续利用评价监测系统,以掌握各国海洋生态系统结构和功能是否健康,为建立基于生态系统的渔业管理提供基础。     

黄、渤海渔业生物平均营养级的长期变动

根据中国渔业统计年鉴1956—2014年中国北方三省一市(河北省、辽宁省、山东省和天津市)的捕捞量统计资料,综合分析了黄、渤海海域38种主要渔获种类的平均营养级、渔获量及渔获组成的长期变化情况,并结合FIB指数(Fishing in Balance Index),深入探讨黄、渤海渔业状况的年间变化。研究表明,1956—2014年黄、渤海渔获物平均营养级在3.63~4.46的范围内波动,整体呈下降趋势。大致可分为4个阶段:(1)1956—1969年,平均营养级整体呈下降趋势,在1957年达到历史最高点4.46,1969年下降到3.83;(2)1970—1975年,整体呈上升趋势,在1975年上升到第三个高峰值4.32;(3)1976—1997年,整体呈下降趋势,平均营养级在波动中逐渐下降,1992年达到历史最低点3.63;(4)1998—2014年,整体有小幅度上升,最终稳定在3.83左右。FIB指数整体呈先下降后上升的趋势。1956—1968年,FIB指数经过一个振荡后逐渐下降到最低点-1.57;1969—2006年,FIB指数整体在波动中逐渐上升至最高点1.78;2007—2014年,FIB指数下降后趋于稳定。渔获量的长期变化显示,近几十年间黄、渤海高营养级和中低营养级种类的渔获量均呈上升趋势,但高营养级种类所占比例下降,中低营养级种类所占比例上升。与全球及其它海域相比,黄、渤海渔获物平均营养级的下降幅度和下降速率均高于全球平均水平和葡萄牙海域,但低于南澳大利亚和东海海域。     

东海区海洋捕捞渔获物的营养级变化研究

根据东海区主要海洋渔业公司1950～1995年分品种渔获物产量的统计数据，分析了东海区渔获物营养级的变化过程，用平均营养级指数来评估东海区海洋渔业资源的开发利用状况。结果表明，经过几十年的捕捞开发，东海区渔获物的平均营养级已从1965年的3．5下降到1990年的2．8，自1974年后海区的产量主要依靠捕捞低营养级品种如马面鲍等而获得。东海区海洋捕捞渔获物营养级结构已经发生了变化，1974年后捕捞主要在低营养级品种内进行。另外还描述了东海区带鱼等品种的种群内部结构小型化、低龄化现象。     

基于稳定同位素方法的吕泗渔场近岸海域主要生物潜在碳源及营养级分析

基于稳定同位素方法,对2018年吕泗渔场近岸海域夏季主要生物种类的潜在碳源及其营养级进行分析,利用IsoSource模型计算该海域消费者的3大碳源（浮游植物、悬浮颗粒有机物、底质有机物）贡献值,并比较叠加潜在碳源影响前后主要生物种类的营养级变化。结果表明,浮游植物和底质有机物对37种主要生物种类的贡献比例分别为58.7%和28.2%,而悬浮颗粒有机物的贡献较小。因此判定吕泗渔场近岸海域夏季主要生物种类的潜在碳源主要是浮游植物和底质有机物。通过分别叠加3大潜在碳源和单一物种作为基准值构建两个营养级谱,右营养级谱的生物种类营养级范围为1.74～3.92,比左营养级谱平均下降0.19个营养级,尽管两个营养级谱的整体趋势走向不变,但部分鱼类和多数虾类的营养位置发生改变。右营养级谱的基准值随着潜在碳源叠加比例的不同而变化,能有效反映生物营养级,更适用于低营养级的虾蟹类。但对于处于中高级消费者位置的鱼类来说,这种叠加的效果影响不大。     

闽南-台湾浅滩海域生态系统渔业资源容纳量

以在台湾海峡及其邻近海域开展的海洋科学调查研究所获得的有关闽南-台湾浅滩海域的初级生产力为基础,通过对渔业资源种类组成和结构的调查、浮游植物有机碳含量,鱼类、虾类、蟹类、头足类等主要种的营养级及其有机碳含量检测和生态效率的测算,采用营养动态模型和Cushing模型估算该海域渔业资源容纳量(自然生产量).同时,采用Gulland模式和MSY简单模式估算渔业资源最大可持续开发量.结果表明该海域渔业资源容纳量为125.23×10~4t,最大可持续开发量为61.92×10~4t.1996年以来实际年渔获量在62.05×10~4～67.29×10~4t,平均64.74×10~4t,超过了渔业资源的剩余产量,呈现过度捕捞态势.     

气候变化对东北大西洋渔获物组成、多样性和营养级的影响

东北大西洋是世界上重要的捕捞海域,气候变化对该海域捕捞产生了重要的影响。本文基于联合国粮农组织所提供的1982-2016年东北大西洋渔获产量数据,对该海域渔获物组成、多样性、平均营养级及主成分变化特征进行时间序列上的分析,并结合东北大西洋海域气候、环境因子,应用广义可加模型探究渔获物组成与气候变化之间的关系。结果显示:渔获物多样性的变化总体上呈下降趋势,2002-2010年间处于较低水平;平均营养级在2002年之前呈平缓下降的趋势,2002年之后开始波动上升,相关性分析表明这两个指标与海域环境因子的变化较为相关。对渔获物组成进行主成分分析显示,第一主成份变化的方差解释率达到35.3%,且与海域气候、环境因素有较高的相关性,第一主成分变化能够较好地表征气候影响下渔获物组成变化的情况。广义可加模型分析结果显示,渔获物组成变化的影响因素按解释率由高到低分别为:海表温度、海平面高度、盐度、海冰和北大西洋涛动指数。该研究有助于认识气候变化对海洋渔业资源及其结构组成的影响。     

Biology, fishery, conservation and management of Indian Ocean tuna fisheries

The focus of the study is to explore the recent trend of the world tuna fishery with special reference to the Indian Ocean tuna fisheries and its conservation and sustainable management. In the Indian Ocean, tuna catches have increased rapidly from about 179959 t in 1980 to about 832246 t in 1995. They have continued to increase up to 2005; the catch that year was 1201465 t, forming about 26% of the world catch. Since 2006 onwards there has been a decline in the volume of catches and in 2008 the catch was only 913625 t. The Principal species caught in the Indian Ocean are skipjack and yellowfin. Western Indian Ocean contributed 78.2% and eastern Indian Ocean 21.8% of the total tuna production from the Indian Ocean. The Indian Ocean stock is currently overfished and IOTC has made some recommendations for management regulations aimed at sustaining the tuna stock. Fishing operations can cause ecological impacts of different types: by catches, damage of the habitat, mortalities caused by lost or discarded gear, pollution, generation of marine debris, etc. Periodic reassessment of the tuna potential is also required with adequate inputs from exploratory surveys as well as commercial landings and this may prevent any unsustainable trends in the development of the tuna fishing industry in the Indian Ocean.     

Fishery-induced Inter-annual Changes in the Mean Trophic Level,the Northern Sea of Oman off the Iranian Coast, 2002–2011

Ecosystem-based management is one of the most important approaches that may lead to reducing the impacts of fishing on ecosystems. In this context, we have assessed the impact of Iranian coastal fishing (using landing data of 49 exploited species) on the ecosystem of the North Sea of Oman (Sistan and Baluchestan Province), during the last decade (2002–2011), with emphasis on testing the occurrence of the “fishing down? phenomenon. The Mean Trophic Level (MTL) and Fishing-in-Balance (FiB) index are two indicators that we used for analysis. The data indicated that the increased total landings in this region might be related to the exploitation of marine fishery resources especially with regard to large pelagic fish. Over the past decade, moderate decreasing trends in MTL and an increasing trend in the FiB-index were observed. In this regard, an upward trend in the spatial expansion factor and also a downward trend in the piscivory index and in Primary Production Required (PPR) in the time period could all indicate a spatial expansion toward deep waters, the catching of the large pelagic piscivorous species, such as tuna, and a sign of fishing pressures on the ecosystem. The results suggest a range of fishery exploitation patterns throughout the food web but it seems that these patterns are not a consequence of ?fishing down?. We suggest that the monitoring research be continued in this region and these indicators should be used to make fisheries management decisions and to prevent the continuance of this trend in future.     

印度洋鲣鱼围网资源渔场时空变化及其与ENSO的关系

鲣鱼是印度洋重要的金枪鱼种类之一,其资源丰度与海洋环境关系密切。本研究根据1980-2010年印度洋鲣鱼围网生产统计数据以及海洋环境与厄尔尼诺-南方涛动（ENSO）指数等,对印度洋鲣鱼围网资源渔场时空分布,以及厄尔尼诺年和拉尼娜年等不同尺度气候条件下鲣鱼资源渔场时空变动及其与海洋环境因子的关系进行分析。研究结果表明,1980-2010年印度洋鲣鱼围网渔获量基本保持不断增加的趋势,但CUPE值变化幅度较大,最低仅为0.68 t/d（1997年）,最高达到1.58 t/d（2002年）。同时鲣鱼资源丰度（CPUE）与Ni?o3.4区指数存在显著的负相关关系,即厄尔尼诺年,鲣鱼CPUE 随之下降,拉尼娜年,CPUE 随之上升。ENSO现象对鲣鱼渔场时空分布也有显著影响,厄尔尼诺发生时,鲣鱼围网作业渔场重心会向东、向北移动,而拉尼娜年则向西、向南移动。     

基于栖息地指数的西北太平洋日本鲭渔情预报模型构建

根据2014-2017年5-11月西北太平洋公海灯光围网日本鲭(Scomber japonicus)生产数据,结合同期的环境遥感数据,分别基于捕捞量和作业次数,构建日本鲭栖息地适宜性指数(Habitat Suitability Index,HSI)模型。选取海表水温、海面高度异常和叶绿素a浓度,采用一元指数回归拟合,建立各个环境变量的适应性指数模型,并利用线性规划方法确定各环境因子的权重,从而提高日本鲭HSI模型对渔场的预报精度。利用2018年5-11月的实际捕捞数据对模型进行预报准确率验证,在基于渔获量和作业次数构建的HSI模型中,HSI大于0.7的海域,渔获量平均占比分别为77.29%、76.79%,这表明基于不同权重环境因子的HSI模型能够较好地预测西北太平洋公海日本鲭中心渔场。     

基于深度卷积嵌入式聚类（DCEC）的海洋环境特征提取对渔情预报模型的改进研究

In order to improve the forecasting ability of the fishery forecast model for the longline bigeye tuna (Thunnus obesus), we proposed a marine environment feature extraction method based on deep convolutional embedded clustering (DCEC), combined with generalized additive model (GAM) for forecasting the longline bigeye tuna fishing grounds in the Southwest Indian Ocean. We used the MODIS-Aqua and MODIS-Terra sea surface temperature (SST) three-level inversion image data (in days) from January to December in 2018 at 0.041 6°×0.041 6° to construct a DCEC model, determined the optimal number of clusters based on the Davies-Bouldi index (DBI), and extracted the category feature value (F_M) of each month’s sea surface temperature (SST); we used monthly 1°×1° bigeye tuna longline fishery data from January to December in 2018 generated from the Indian Ocean Tuna Commission (IOTC), and calculated the catch per unit effort (CPUE); we matched the monthly category feature value F_M and the monthly average value of Chl a concentration with the CPUE data to construct an improved GAM; we matched the monthly average SST, the monthly average Chl a concentration and CPUE data to build a basic GAM; we used the joint hypothesis test (F test) to verify the influence of model explanatory variables; we used akaike information criterion (AIC), mean square error (MSE), and draw the frequency distribution diagrams and box diagrams of measured and predicted values, etc., to analysis the improvement effect of the improved GAM compared to the basic GAM. The results showed that: (1) the category feature value (F_M) extracted based on the DCEC model could better reflect the temporal and spatial dynamic characteristics of SST in the Southwest Indian Ocean, and was related with the climatic conditions, monsoon conditions, and hydrological characteristics in the Southwest Indian Ocean; (2) the factor interpretation of F_M was higher than that of the monthly average SST in GAM, which means F_M had more significant impact on the CPUE of bigeye tuna. The high catch rate was concentrated in the areas where the F_M category was 2, 10, 24 with intersections between the warm and cold currents; (3) the AIC of the improved GAM was reduced by 9.17% than that of the basic GAM and MSE of the improved GAM was reduced by 26.7% than that of the basic GAM; the frequency distribution of the CPUE logarithmic value predicted by the improved GAM was closer to the normal distribution, and the high frequency distribution interval was closer to that of the measured value; the scatter plot showed that the CPUE predicted by the improved GAM had a significant correlation with the measured CPUE, with r equaled to 0.60. This study proves the effectiveness of the DCEC model in extracting marine environmental features, and can provide a reference for the further study on the bigeye tuna fishery forecast.     

Using data-limited approaches to assess data-rich Indian Ocean bigeye tuna: Data quantity evaluation and critical information for management implications

The majority of fishery stocks in the world are data limited, which limits formal stock assessments. Identifying the impacts of input data on stock assessment is critical for improving stock assessment and developing precautionary management strategies. We compare catch advice obtained from applications of various datalimited methods(DLMs) with forecasted catch advice from existing data-rich stock assessment models for the Indian Ocean bigeye tuna(Thunnus obesus). Our goal was to evaluate the co...     

Assessment of the exploitable biomass of thread herring(Opisthonema spp.) in northwestern Mexico

In recent years, the small pelagic fishery on the Pacific northwest coast of Mexico has significantly increased fishing pressure on thread herring Opisthonema spp. This fishery is regulated using a precautionary approach(acceptable biological catch(ABC) and minimum catch size). However, due to fishing dynamics, fish aggregation habits and increased fishing mortality, periodic biomass assessments are necessary to estimate ABC and assess the resource status. The Catch-MSY approach was used to analyze historical series of thread herring catches off the western Baja California Sur(BCS, 1981–2018) and the Gulf of California(GC, 1972–2018) to estimate exploitable biomass and target reference points in order to obtain catch quotas. According to the results, in GC,the maximum biomass reached in 1972(at the beginning of fishery) and minimum biomass reached in 2015; the estimated exploitable biomass for 2019 was 42.2×10~4 t; and the maximum sustainable yield(MSY) was 15.4×10~4 t.In the western BCS coast, the maximum biomass was reached in 1981(at the beginning of fishery) and minimum biomass was reached in 2017; the estimated exploitable biomass for 2019 was 3.2×10~4 t; and the MSY was 1.2×10~4 t.Both stocks showed a decrease in biomass over the past years and were currently near to point of full exploitation.The results suggest that the use of the Catch-MSY method is suitable to obtain annual biomass estimates, in order to establish an ABC, to know the current state of the resource, and to avoid overcoming the potential recovery of the stocks.