贡湖湾退渔还湖区的基底稳定性的时空特征

2012年11月至2014年5月期间季度性对无锡贡湖湾退渔还湖生态修复工程进行跟踪调查与检测,就贡湖湾湿地土壤环境退渔还湖修复工程前后的理化性质进行了分析比较,用以评估修复工程实施后退渔还湖区基底的改善效果.结果表明:退渔还湖区内基底化学性质,有机质、总氮、总磷比退渔还湖初期分别提高241.59％、98.61％和162.86％.其中,有效氮和有效磷的均值为102.31 mg/kg和15.10 mg/kg,满足土壤养分分级标准Ⅲ级标准.有关基底稳定性物理性质与退渔还湖初期相比,土壤容重减少17.84％,pH值稳定在5.8 ～6.5之间,土壤缓冲能力明显提高,修复区南部(人为种植植物)的土壤团聚体稳定性恢复状况最好,西部(自然恢复)次之,北部(基底状况差,无植物种植)恢复状况低于前述两区.总之,贡湖退渔还湖修复区在经过17个月后,其基底的整体质量趋于良好,土壤各项养分及团聚体稳定性指标逐步达到合理水平,土壤环境已具有良好的生态功能.     

湛江港30万吨级航道工程疏浚泥倾倒对海洋生态环境的影响研究

研究的目的在于根据倾倒区的设置情况和周围海域的生态特点，研究湛江港30万吨级航道工程疏浚泥的倾倒对海洋生态环境及渔业资源的影响，必要情况下提出工程建设方案调整建议及施工期生态环境保护对策。     

洪泽湖水产品中渔药残留量调查

通过对洪泽湖水产品中部分渔药残留的检测和研究,对洪泽湖水产品的渔药残留量以及相关的水质情况有了初步掌握。结果表明,洪泽湖水产品中渔药残留量总体情况较好,但在网箱和围网养殖区域中,土霉素和磺胺类两种渔药在水体中存在量较大。     

我国水产在可持续发展中的贡献和问题

可持续发展是我国发展战略与国策，我国水产通过繁殖保护、增殖水产资源；发展与强化水产养殖，扩大与充分利用养殖水体；综合养殖，特别是渔业生态工程等高速大幅度增产多种水产品，提高人民生活水平，增加经济收入，促进一些物质的良性循环，从而对可持续发展有所贡献，但其中有些部分忽略了水产所依托的水生态系统的整体性、协调性和稳态，导致人与自然在某些方面失调，不利于可持续发展。本文着重从一些生态学方面分析这些贡献和问题，并举一些例证加以论述。     

Studies on Classification of Recreational Fishery Resources and Evaluation on its Development

Recreational fishery is the combination of traditional fishery and modern leisure activities. Development of recreational fishery resources must be based on related resources, but the present research on recreational fishery is mainly confined to the development of leisure projects, the definition of connotation and scope of recreational fishery resources is rather vague, and there is no precise classification and evaluation system. According to the resources attributes, resources functions, and tourism resources classification, investigation and evaluation standard, recreational fishery resources include a number of different types. Expert Scoring Method and Analytic Hierarchy Process can be used to determine the evaluation factors of recreational fishery resources and their weights, and then make comprehensive evaluation on recreational fishery resources of different regions and types, so as to improve the scientific nature of recreational fishery development.     

Optimization of an artificial neural network for identifying fishing set positions from VMS data: An example from the Peruvian anchovy purse seine fishery

The spatial behavior of numerous fishing fleets is nowadays well documented thanks to satellite Vessel Monitoring Systems (VMS). Vessel positions are recorded on a frequent and regular basis which opens promising perspectives for improving fishing effort estimation and management. However, no specific information is provided on whether the vessel is fishing or not. To answer that question, existing works on VMS data usually apply simple criteria (e.g. threshold on speed). Those simple criteria generally focus in detecting true positives (a true fishing set detected as a fishing set); conversely, estimation errors are given no attention. For our case study, the Peruvian anchovy fishery, those criteria overestimate the total number of fishing sets by 182%. To overcome this problem an artificial neural network (ANN) approach is presented here. In order to set both the optimal parameterization and use “rules” for this ANN, we perform an extensive sensitivity analysis on the optimization of (1) the internal structure and training algorithm of the ANN and (2) the “rules” used for choosing both the relative size and the composition of the databases (DBs) used for training and inferring with the ANN. The “optimized” ANN greatly improves the estimates of the number and location of fishing events. For our case study, ANN reduces the total estimation error on the number of fishing sets to 1% (in average) and obtains 76% of true positives. This spatially explicit information on effort, provided with error estimation, should greatly reduce misleading interpretations of catch per unit effort and thus significantly improve the adaptive management of fisheries. While fitted on Peruvian anchovy fishery data, this type of neural network approach has wider potential and could be implemented in any fishery relying on both VMS and at-sea observer data. In order to increase the accuracy of the ANN results, we also suggest some criteria for improving sampling design by at-sea observers and VMS data.     

Gillnet illumination as an effective measure to reduce sea turtle bycatch

The growing demand for fish around the world is an immediate threat to marine megafauna that are unintentionally captured in commercial and artisanal fishery operations. Bycatch mitigation strategies, such as turtle excluder devices, circle hooks, and net illumination, have successfully reduced this risk in some fisheries. We explored the effectiveness of gillnet illumination to reduce sea turtle captures in 2 artisanal fisheries (Mankoadze and Winneba, Ghana) under normal fishing conditions. We first quantified sea turtle bycatch in Ghana's artisanal gillnet fishery from 15 boats for 12 months. We then quantified catch of targeted species and sea turtle bycatch from 20 boats for 15 months (7427 net sets). For 10 of these boats, we placed a Centro Economy green light (1 LED) at each 10-m interval on the net. We also quantified target catch and sea turtle bycatch from 30 boats for 8 months (2250 net sets). In 15 of these boats, a Centro Deluxe green light (3 LEDs) was installed at 15-m intervals. Boats with economy lights and those with deluxe lights both exhibited an 81% decrease in sea turtle captures (W = 1, p < 0.001, n = 20; W = 215, p < 0.001, n = 30, respectively) compared with control boats without lights. Illuminated nets resulted in fewer turtle catches for leatherback (Dermochelys coriacea), olive ridley (Lepidochelys olivacea), and green sea turtles (Chelonia mydas) (p < 0.05 for all species). Target catch (mass) (W = 53, p = 0.853 n = 20; W = 76, p = 0.449, n = 23) and value (W = 50, p = 1, n = 20; W = 69, p = 0.728, = 23) were not different across treatments. Our study affirms net illumination can reduce capture rates of 3 species of sea turtles, including the imperiled leatherback. Gear modification methods can successfully reduce bycatch if they are affordable and have broad applications for multiple species in different fisheries.     

渔业养殖区溶解性有机质的来源、组成及其对汞甲基化的影响

溶解性有机质（DOM）对水生环境中汞的赋存形态及转化过程具有极其重要的影响.但从更加微观的角度,如DOM的组成部分及其官能团特征等,却缺乏相关研究以阐明DOM影响汞形态转化的机制.为探究渔业养殖区来源于不同有机物（如残饵、鱼粪和底泥）的DOM各亚组分对水体中汞甲基化的影响,应用多级树脂联用技术,将渔业养殖区不同来源的DOM分离出6种亚组分,利用室内培养方式进行Hg²⁺的甲基化试验.傅里叶红外光谱分析结果表明,DOM中含有各种不同的官能团.亲水性组分主要包含羟基、羧基等极性较强的官能团;疏水性组分则包含一些无极性或者弱极性官能团如甲基、亚甲基和酚羟基等.疏水性亚组分是DOM的主要组成成分,其中又以疏水性碱性物质（HOB）为最,在有机物腐解过程中一直占有最大的比重.总体而言,疏水性有机组分对汞甲基化的促进作用显著高于亲水性有机组分;这主要是因为亲水性有机组分含有大量的羧基、羟基等官能团,可以更好地与活性Hg²⁺结合,降低甲基化反应的底物浓度,从而抑制甲基化发生.而疏水性组分对汞亲和性较弱,而且所含酚羟基以及还原性含硫基团等都可作为电子供体,从而促进汞甲基化的发生.从总体来说,在有机质腐解过程中,各种非同源有机质所形成的HOB对汞甲基化的促进作用不断增强.     

围海造陆形成后对生态环境和渔业资源的影响--以天津临港工业区滩涂开发一期工程为例

研究的目的在于利用有关数学模型的研究成果,结合项目区域海洋生态环境的现状,分析围海造陆工程形成后由于项目本身侵占湿地以及周围海域水动力条件的改变对生态环境和渔业资源的影响。分析结果表明,滩涂开发工程对养殖区等生态敏感目标的影响不明显,但对滩涂湿地生态系统有一定程度的影响,表现为占用部分湿地,导致湿地总面积减少,但本地区海河口湿地面积缩小对渤海湾生态环境的影响有待进一步研究。文章从管理与规划角度出发提出滩涂开发过程中的有关建议和要求。     

Economic Development,Income Inequality and Environmental Degradation of Fisheries Resources in Mauritius

This article examines how environmental degradation of fisheries resources in the context of Mauritius is linked up with human investment in education, economic growth, and income inequality. Empirical evidence shows that public-sector investment in education promotes economic growth, but at the expense of greater inequality of income. Among the vulnerable groups affected by this type of development process lies the fisherman community. In fact, children of poor families in coastal Mauritius have constrained access to complete school education because of the persistently high opportunity cost involved. Hence, this community is caught up in a vicious circle, as its children or grandchildren would barely be redeployed elsewhere other than in the fisheries sector itself. Such exclusion might account for the overexploitation of marine resources of the island and the accompanying reduction in fish catch over recent years.*(Paper presented at the Third Research and Training Workshop of the Resource Accounting Network for Eastern and Southern Africa (RANESA), University of Pretoria (Funded by SIDA, Sweden), held in Mauritius, Nov 2000. I am grateful to the participants for their helpful suggestions. Needless to say, the usual disclaimer applies). Published online