Compliance costs and the small fisher: A study of exiters from the New Zealand fishery

Over 3000 predominantly small-scale fishers have exited the New Zealand's quota management system (QMS) between its inception in 1986 and 2000. This study, based on the Ministry of Fisheries database and a questionnaire sent to the exiters, establishes that compliance costs in general, and those specifically related to the QMS, were one of the most consistent reasons for exit. Uncertainty about future QMS policy and the high cost of quota were also significant factors. It appears that the small fishers’ perception of high compliance cost can be supported by industry data.     

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

岩土钻掘施工的安全工程问题

针地地勘行业岩土钻掘工程的安全生产需要,运用安全系统工程方法,探讨了施工安全管理,边坡工程安全技术,基桩工程安全技术,挡土墙施工安全技术,爆破拆除工程安全技术等问题。     

基于“天地图”的位置服务平台的设计与实现

在位置服务平台建设过程中,为了解决全国性地图数据源、标准统一、详实性、现势性等问题,设计在地图数据源上采用国家、省、市三级的"天地图"地图服务。并且介绍了平台的分布式架构、多服务器集群服务技术、多终端协议集成服务技术及"天地图"接入实现应用的方法。     

海岸侵蚀灾害管理中的几项基础工作

讨论了作为海岸带管理工作中一项重要管理内容──海岸侵蚀灾害管理中的几项基础性工作,主要讨论了灾害评估的意义;海岸侵蚀灾害管理基础图件和专业图件的名称及主要内容;建立海岸侵蚀灾害信息系统的意义和主要内容;关于海岸侵蚀灾害管理法的意义和急迫性;提出了建立禁建区和禁采区的意义和紧迫性,并指出在海岸带开发建设中要统一管理,全面规划,注意到海岸带生态环境的特殊性。总之在海岸侵蚀灾害管理中,首先要做好基础工作,在此基础上做好法制建设和依法管理。     

关于海岸带开发“稳健管理模型”的初步设想

海岸带可持续发展需要具有数据分析和决策的双重功能的计算机“稳健管理模型”。在技术上 ,该管理模型可利用地理信息系统和数据库技术 ,实现法律文件、区域性社会和经济发展规划、海岸带自然环境数据、以及土地利用现状资料的贮存和分析。然后通过一个决策软件 ,将有关资料转化为可持续发展的若干条最大容量规则 ;该软件以海岸带开发项目所需的必要条件为输入参数 ,通过内部一致性检验确定这些条件是否符合可持续发展规则 ,从而对待开发项目作出批准与否的管理决策。随着计算机技术的发展 ,开发这样一个稳健管理模型的时机已经成熟。     

河西内陆河径流对气候变化的响应及其流域适应性水资源管理研究

为探讨河西地区内陆河径流对气候变化的响应, 选取1955-2008年石羊河、黑河和疏勒河的河流流量资料进行计算和分析. 结果表明: 50多年来, 石羊河年径流总体呈明显下降趋势, 黑河呈略有增加趋势, 疏勒河呈明显增加趋势, 地域上呈现愈往西部的河流年径流量增加愈明显. 三大河流进入1990年代后有下降趋势, 进入21世纪均有明显增多趋势. 三大河流径流对气候变化有不同响应, 石羊河流域主要受季风气候影响, 气候变暖, 蒸发加剧, 水分散失量大, 是造成径流减少的主要原因;黑河和疏勒河流域主要受西风带环流影响, 径流增多的重要原因是气候变暖降水明显增多. 为减缓气候变化对流域水资源利用的不利影响, 在分析三大内陆河流量对气候变化响应特征的基础上, 提出了适应性水资源管理的建议. 建议应提高水资源利用效率;改变生产方式, 调整农业种植业结构与布局;加大祁连山自然保护区建设, 搞好水资源可持续利用;积极开发祁连山丰富的空中云水资源、哺育祁连山冰川等流域适应性水资源管理对策, 对流域进行综合治理与开发利用, 这些措施和对策将为流域水资源开发提供科学依据.     

Optimisation of underwater visual census and controlled angling methods for monitoring subtidal temperate reef fish communities

Standardised sampling protocols for monitoring fish stocks are essential to assess changes in stock status and provide a means to evaluate the effectiveness of fisheries management measures, such as marine protected areas (MPAs). This study aimed to optimise two standard sampling methods, namely underwater visual census (UVC) and controlled angling, for assessing subtidal reef fish communities. In terms of efficiency, variability and bias, UVC transects were found to be superior to point counts. For controlled angling, an effort of two angler-hours per fishing station provided low catch variability, high catch per unit effort and a representative catch. Whereas UVC provided less variable estimates of relative density, controlled angling provided greater sampling efficiency. It is thus recommended that the two methods be used in conjunction. The optimal sampling protocols identified are suitable for rapid assessments or long-term monitoring of subtidal, temperate reef fish communities.     

Technical change in fisheries

Technical change in fisheries is an under-researched area in resource economics and management. This is surprising, because technical progress is the main driver of the development in fishing power and capacity. This article reviews the recent research and development in technology that have occurred in fisheries. New policy implications of introducing technical change into the standard bioeconomic model are illustrated. Bycatch saving technical change is critical to bycatch reduction and ecosystem based fisheries management, and optimal policies cost-effectively reduce bycatch, create incentives to induce bycatch saving technical change, and establish technology policy for research and development.