底栖动物增殖放流生态风险评价

为了评价底栖动物增殖放流过程中存在的生态风险,通过现场调查、已有文献资料分析和专家咨询,建立了以层次分析法为基础的生态风险评价体系。应用该体系对5种增殖放流的底栖动物进行了生态风险评价。研究表明,西施舌、紫海胆、韩国文蛤和泥东风螺为"中"风险等级;波纹巴非蛤为"低"风险等级。本研究可为今后增殖放流过程中的生态风险评价提供参考。     

An ecosystem-based assessment of the Korean blue crab trammel net fishery in the Yellow Sea and management implications

Landings in the blue crab, Portunus trituberculatus, fishery in Korean waters of the Yellow Sea have declined substantially from 11,000 t in the 1980s to 2,300 t in 2004. Blue crab habitat quality in the Yellow Sea has been degraded by anthropogenic activities including sand mining, land reclamation, and coastal pollution. Various traditional management measures have been implemented, including closed seasons during spawning and size limits, but these measures alone have been unsuccessful to conserve blue crab stocks. Consequently, a total allowable catch and a stock-rebuilding program using an ecosystem-based management approach were implemented in 2003 and 2006, respectively to rebuild blue crab stocks and restore habitats. This program involved assessment of both blue crab stock status and trammel-net fishery impacts at an ecosystem-level using an ecosystem-based fisheries assessment method ( [Zhang et al., 2009] and [Zhang et al., 2010]), which considered fishery data from catch and effort time-series, crab population biology, and ecosystem characteristics, including habitats and environmental conditions. Recent (2008) management status indices have shown significant positive change compared to conditions in 2000 with respect to sustainability of the stock and fishery and with regards to biodiversity and ecosystem habitat quality.     

狭鳕（Theragra chalcogramma Palas）目标强度的现场测定

１９９３年夏季“北斗”号调查船白令海狭鳕（ＴｈｅｒａｇｒａｃｈａｌｃｏｇｒａｍｍａＰａｌａｓ）资源声学调查期间，利用计数—积分法对狭鳕的目标强度进行了现场测定。结果表明，平均叉长５１６ｃｍ的狭鳕的平均目标强度为－３４３ｄＢ；以常规的２０Ｌｏｇｌ形式表示，其目标强度与叉长的关系式为ＴＳ＝２０Ｌｏｇｌ－６８．６ｄＢ。该测定结果较目前采用的关系式：ＴＳ＝２０Ｌｏｇｌ－６６．０ｄＢ低２６ｄＢ；应用于资源量计算，其估算值将比现估算值高８２％。     

Assessing the green sea urchin (Strongylocentrotus drobachiensis) stock in Maine, USA

The green sea urchin (Strongylocentrotus drobachiensis) fishery is of great importance to Maine’s economy. The fishery took off in the late 1980s as a result of expanding export markets, but has experienced substantial decline in landings since 1992 because of large decreases in urchin stock abundance. Fishery-independent surveys have not been conducted, and no formal stock assessment has been done prior to this study. Using the data collected from the fishery and urchin life history parameters derived from scientific studies, we conducted a formal stock assessment for the urchin stock. A stochastic observation-error length-structured model is used to describe the dynamics of the sea urchin population. A robust Bayesian approach is used for estimating fishery parameters because of concerns of possible outliers in fisheries data and mis-specification of priors. This study shows that the current stock is only 10% of the virgin stock biomass and that the exploitation rate is close to 40% suggesting that a large reduction in exploitation rate is necessary.     

Inherent bias in using aggregate CPUE to characterize abundance of fish species assemblages

We have analyzed the practice of assessing an assemblage of fish species in a multispecies fishery on the basis of aggregate catch per unit effort (CPUE), which is the summed catch of all species per unit of effort. We show that at the onset of fishing or of a large positive or negative change in fishing effort, aggregate CPUE will be hyper-responsive, that is, relative change of aggregate CPUE will be greater than that of aggregate abundance. We also show that as the fishery reaches equilibrium, the aggregate CPUE in most circumstances will continue to be hyper-responsive, with a greater relative change from its value at the start than the aggregate abundance. However, there are less likely circumstances in which the aggregate CPUE will be hyper-stable compared to aggregate abundance. The circumstances leading to hyper-responsiveness or hyper-stability depend on the distribution of productivity and fishery vulnerability parameters among the species in the aggregation.     

我国各地区经济实力综合评价研究

介绍了主成分与聚类分析方法原理,以8项经济指标构建了综合反映各地区经济实力的评价体系,分析了经济指标间的关系和影响经济发展的主要因素,并对2006年我国大陆31个省(直辖市、自治区)的经济数据,利用多元统计中的主成分和聚类分析方法,对各地区综合经济实力进行了排序和分类.     

模糊综合评价方法在区域水资源承载力研究中的应用

区域水资源承载力是进行区域生态建设和确定社会经济发展规划的基础.介绍了基于模糊数学理论的区域水资源承栽力评价方法,选取了人均水资源量、供水工程调控能力、水质达标率和过境水利用潜力等4个主要支持性指标和人口密度、城镇人口比例、水资源利用率、人均GDP、人均需水量和生态用水比例等6个主要压力性指标,以浙江省杭州市为例进行计算与分析.     

农业灌溉节水潜力及回归水利用研究进展

目前,对农业灌溉节水潜力尚未形成一个统一、公认的概念,相应的评价和计算体系也没有很好地建立起来.对农业灌溉节水潜力方面的研究成果进行了全面的回顾总结,提出了存在的问题和以后研究的重点.指出不同尺度回归水重复利用的量化是合理计算真实节水潜力的关键.最后,对回归水重复利用研究计算方法进行了归纳总结,提出了考虑回归水重复利用率的灌溉节水潜力评价思路.     

发挥农业综合开发“助推器”作用做大做强龙虾产业

盱眙县境内湖泊众多,水产资源十分丰富。著名的“盱眙龙虾”集养殖、加工、销售于一体的经济已成为当地主导产业,对发展农村经济、增加农民收入起着重要作用。盱眙农业综合开发紧紧围绕做大做强龙虾产业,通过建基地、办市场、扶企业、强产业。发挥农业开发“助推器”作用,促进了龙虾生产与销售,加速了龙虾产业的发展。     

Antipredator behaviour of naïve Arctic charr young in the presence of predator odours and conspecific alarm cues

Abstract –  We investigated how Arctic charr young respond behaviourally to olfactory cues from skin-damaged conspecifics, charr-fed pikeperch, and the combination of food-deprived pikeperch and skin-damaged conspecific cues in a two-channel Y-maze fluviarium test arena. Significant antipredator responses were found to skin-damaged conspecifics in three behavioural traits, to charr-fed pikeperch in two traits and to the combination of pikeperch and skin-damaged conspecific cues in all six behaviours investigated. The combination of predator and conspecific cues significantly increased spatial avoidance and cautiousness to approach the source of scent compared with odours from charr-fed predators. The results suggest that damage-released alarm cues exist in charr, and they strengthen the antipredator responses in conspecifics. As the charr used different behaviours and levels of response in the presence of different cues, they seem to have sophisticated skills to distinguish between different odour combinations and be able to adjust their behaviour according to the current predation risk level.