Geographical information systems-based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands

The present study focuses on the development of a standard methodology for selection of suitable sites for offshore (exposed) marine fish‐cage farming (floating cages) of seabream (Sparus aurata) and seabass (Dicentrarchus labrax) in an island environment, using Tenerife as an example. Site selection is a key factor in any aquaculture operation, affecting both success and sustainability and can solve conflicts between different activities, making a rational use of the coastal space. Site selection was achieved by using geographical information systems (GIS)‐based models and related technology to support the decision‐making process. The framework for spatial multicriteria decision analysis used in this study began with a recognition and definition of the decision problem. Subsequently, 31 production functions (factors and constraints) were identified, defined and subdivided into eight submodels. These were then integrated into a GIS database in the form of thematic layers and later scored for standardization. At this stage, the database was verified by field sampling to establish the quality of data used. The decision maker's preferences were incorporated into the decision model by assigning weights of relative importance to the evaluation under consideration. These, together with the thematic layers, were incorporated using multicriteria evaluation techniques and simple overlays to provide an overall assessment of possible alternatives. The integration, manipulation and presentation of the results by means of GIS‐based models in this sequential and logical flow of steps proved to be very effective for helping the decision‐making process of site selection. Tenerife has very favourable environmental conditions for culture of marine fish and there are no totally unsuitable sites for cage farming identified in this study. On the other hand, there are few very suitable sites (high scores) either, principally due to the heavy use of the coastline and the conflicts between different users. From the 228 km² of available area for siting cages in the coastal regions with depth less than 50 m, the total area suitable for siting cages (scores 6–8) was 37 km². There are only 0.51 km² of very suitable areas (score 8) and approximately 5.37 km² of suitable (score 7), most of these being located in the southeast of the island. These relatively small areas of suitability should be put into the context of the wider use of the coastal environment around Tenerife.     

Land suitability evaluation for brackish water aquaculture development in coastal area of Hormozgan,Iran

Land suitability analysis is a prerequisite for successful aquaculture, and site selection affects both the success and sustainability of any aquaculture development. There is an urgent need for appropriate methodology to assist planners for site selection in aquaculture development. Site selection can be viewed as a multi-criteria decision-making (MCDM) problem. The analytical hierarchy process (AHP) is a proven, effective method used to solve problem of site selection. This paper applied geographic information systems (GIS), the AHP method, and MCDM to identify areas that are suitable for shrimp aquaculture development in coastal area of Hormozgan, Iran. To create models, combination of layers was carried out through Boolean operators and weighted linear combination (WLC) method. After performing the combination models, the results are presented and compared. Evaluation of the results shows that the most of the areas classified suitable in WLC model coincide with the existing shrimp farms and this indicates the validity of the GIS-based WLC model. The areas with the highest priorities are situated in eastern part of the study area. Since existing shrimp farms cover a small extent in the study area, further expansion of shrimp farming to other areas is possible.     

Genetic improvement in the Australian aquaculture industry

Most aquaculture industries in Australia are at an early stage of development and would benefit from the introduction of genetic improvement programmes. Size at harvest is perceived by industry participants, managers and researchers as the trait that will most influence profitability. Although most current genetic improvement programmes in aquaculture use mass selection, inbreeding is widely regarded as an important problem, which could be overcome by the use of family data in selection decisions. The major research priority is the development of genetic markers to enable accurate pedigree determination. The major constraint upon the implementation of genetic improvement programmes by aquaculture industries is lack of available funds and resources. Industry ownership and national co‐ordination of research and development is seen as the best way of addressing this constraint.     

Assessing Potential for Aquaculture Development with a Geographic Information System

Comprehensive analyses of aquaculture potential are required for policy formulation and planning for aquaculture development. A computer-automated geographical information system (CIS) was assessed as a tool to analyze the complex spatial and attribute data sets needed to locate aquaculture potential. The state of Louisiana, USA, was the study area. Areas for the further development of catfish and crawfish culture and crawfish-rice and crawfish-grain sorghum double cropping were identified. The CIS showed that there were ample opportunities for the expansion of catfish farming on flatlands based on soil suitability and length of the growing season. Parishes in which crawfish are already raised occupy most of the best suited soils and include those with the longest growing seasons. The potential to further integrate crawfish with rice and with grain sorghum in double cropping systems was good. The results demonstrated that a GIS can be used to aid large-area aquacultural development planning.     

A comparison of development opportunities for crab and shrimp aquaculture in southwestern Bangladesh, using GIS modelling

The present study identifies and quantifies appropriate sites for brackish water aquaculture development in southwestern Bangladesh using remote sensing, GPS and geographical information systems (GIS). A colour composite Landsat TM image from 1996 covering the southwestern part of Bangladesh was used to identify the extent of brackish water and to classify land use. The remotely sensed data were complemented by secondary data digitised from a range of sources, including hard copy maps, to create a spatial database that included environmental and infrastructural data. A series of GIS models were developed in order to identify and prioritise the most suitable areas for brackish water shrimp and crab farming. Using qualitative and quantitative output from the models, the benefits of shrimp and crab farming and alternative land uses in the Khulna region were compared, based on gross production, economic output and employment potential. Comparisons were made of brackish water shrimp and crab culture with moderately saline-tolerant tilapia and prawn culture, freshwater carp culture and traditional rice production systems. Shrimp was identified as the most capital intensive and risky production system. Earnings per hectare were a little higher for shrimp culture than for crab culture. The present study demonstrates the usefulness of GIS as an aquaculture planning tool in a region where natural resources are already under considerable pressure.     

Desktop classification of inland wetlands for systematic conservation planning in data‐scarce countries: mapping wetland ecosystem types,disturbance indices and threatened species associations at country‐wide scale

相似文献   

Geographical information system (GIS) environmental models for aquaculture development in Sinaloa State,Mexico

This paper describes the use of a geographical information system (GIS) to construct environmental models for land-based aquaculture development in the State of Sinaloa, Mexico. Based on the source data, submodels were created focusing on three different themes: general environmental issues, water resources and water quality. Models enabled multicriteria and multiobjective decision making concerning site selection and location. In assessing site considerations these general models identified wider resource management options and solved conflicts of land allocation and land use between aquaculture and agriculture. Smaller-scale, more specific models enabled more detailed studies on environmental issues.     

Development and evaluation of a high‐throughput single nucleotide polymorphism multiplex assay for assigning pedigrees in common carp

Accurate pedigree information is critical when managing animal breeding programmes and ensure the highest rate of genetic gain. The abundance of available genomic data and the development of high‐throughput genotyping platforms have facilitated the use of single nucleotide polymorphisms (SNPs) as the best DNA markers for genomic selection studies. Furthermore, the superior qualities of SNPs compared with those of microsatellite markers allow standardization between laboratories, which is crucial for developing an international set of markers for use in traceability studies. The objective of this study was to develop a high‐throughput SNP array to assign common carp pedigrees accurately. A 48‐SNP array was developed based on the Fluidigm genotyping platform, and a phylogenetic analysis was performed to distinguish different pedigrees. A likelihood‐based approach was used to infer parental pairs, and the pair with the highest LOD score (log of the ratio of the likelihood given parentage to likelihood given non‐parentage) was assigned. The SNP genotypes of the offspring and candidate parents tested were collected, and 94% of the offspring were assigned to the most‐likely parent pair, which was consistent with the actual pedigree records. Using this SNP assay will allow implementation of offspring testing at large commercial farms where improved accuracy of pedigree assignments and genetic evaluations will increase genetic gains in the common carp aquaculture industry.     

Critically examining the knowledge base required to mechanistically project climate impacts: A case study of Europe's fish and shellfish

An amalgam of empirical data from laboratory and field studies is needed to build robust, theoretical models of climate impacts that can provide science‐based advice for sustainable management of fish and shellfish resources. Using a semi‐systematic literature review, Gap Analysis and multilevel meta‐analysis, we assessed the status of empirical knowledge on the direct effects of climate change on 37 high‐value species targeted by European fisheries and aquaculture sectors operating in marine and freshwater regions. Knowledge on potential climate change‐related drivers (single or combined) on several responses (vital rates) across four categories (exploitation sector, region, life stage, species), was considerably unbalanced as well as biased, including a low number of studies (a) examining the interaction of abiotic factors, (b) offering opportunities to assess local adaptation, (c) targeting lower‐value species. The meta‐analysis revealed that projected warming would increase mean growth rates in fish and mollusks and significantly elevate metabolic rates in fish. Decreased levels of dissolved oxygen depressed rates of growth and metabolism across coherent species groups (e.g., small pelagics, etc.) while expected declines in pH reduced growth in most species groups and increased mortality in bivalves. The meta‐analytical results were influenced by the study design and moderators (e.g., life stage, season). Although meta‐analytic tools have become increasingly popular, when performed on the limited available data, these analyses cannot grasp relevant population effects, even in species with a long history of study. We recommend actions to overcome these shortcomings and improve mechanistic (cause‐and‐effect) projections of climate impacts on fish and shellfish.     

Assessment of impact of aquaculture on Kolleru Lake (India) using remote sensing and Geographical Information System

Aquaculture is one of the fastest growing food industries and the rapid growth of aquaculture worldwide has resulted in growing concerns about its impact on important ecosystems. Kolleru Lake, India's largest fresh water body, and Ramsar site have undergone tremendous changes due to the development of aquaculture. To assess the impact of aquaculture on Kolleru, satellite data were found appropriate because of the synoptic‐detailed overview and accuracy. Satellite data of IRS 1D, LISS III from 2004 and Survey of India topographic maps from 1967 were processed using image processing techniques in erdas imagine and analysed in Geographical Information System (GIS) such as arc gis 9.1. Land use map prepared from the satellite data was verified in the field using Global Positioning System to check the land and water use classes and its areal extent. It was estimated from the topographic maps of 1967 that the total lake boundary area was 180.38 km², in which 70.70 km² had water throughout the year and 100.97 km² had water during the rainy season. The digital image processing of 2004 satellite data revealed that Kolleru was no longer a lake and the lake area of 62.65 km² (34.73%) only remained in a degraded state, extensively colonized by macrophytes. The total loss of lake area was 109.02 km² between 1967 and 2004, in which aquaculture was developed in 99.74 km², which represented 55.3% of the 1967 lake area. The maximum conversion to aquaculture occurred from the lake liable to be inundated during the 1967 rainy season. The area under agriculture was 16.62 km² in 2004, the increase in lake area for agriculture between 1967 and 2004 being 8.22 km² (4.55% of lake). If human induced degradation is allowed to continue, the lake will very soon disappear. Now, the Government of Andhra Pradesh, India, has initiated schemes and laws to restore the lake to its pre‐development state. Lessons learnt from the Kolleru Lake cautioned that there is a need for regular monitoring of important water resources throughout the world to protect the biodiversity of the earth.     

A site management system for shellfish aquaculture

Abstract

A production management and planning system has been developed for large‐scale hanging culture operations. The relational database was designed to provide a fast, reliable and versatile tool for managing large volumes of production data at a scallop aquaculture site. The application development process is described, starting with the set of management decisions to be supported by the software. Best practices used for data structure design included normalization and entity‐relationship diagramming. The process‐based design resulted in visually consistent and user‐friendly interfaces which minimize data entry errors. An integrated forecasting model, based on seasonal exponential smoothing, extrapolates stagewise mortalities and flows calculated from the database. Typical simulation results demonstrate how forecasts provide insight into the grow‐out dynamics for capacity planning, manpower planning, and dealing with seasonal fluctuations in the yields. The software generates daily production reports, weekly harvesting schedules and long‐range planning information.     

Spatial distribution of fishing effort in relation to seafloor habitats in the Kattegat,a GIS analysis

• 1. High‐resolution fishing effort data from the Kattegat, an important fishing ground for Swedish and Danish fishermen, was analysed in a Geographical Information System (GIS). Data were based on position data for individual tows reported by Swedish fishermen during 2001–2003.
• 2. Gear dimension and towing speed data were used to calculate an index for area swept per hour for each main gear type in use in the area. These indexes were multiplied by fishing effort and a grid theme of fishing intensity was created after GIS analysis.
• 3. Around 44% of the entire area was affected by Swedish fisheries during the study period, hence 56% was not affected.
• 4. Effort was highly concentrated in certain areas and 10% of the total area was covered more than twice per year.
• 5. Overlaying the effort data set with habitat maps classified according to the European Nature Information System (EUNIS) showed that the fishing pressure differed between habitats. For deep rocky and muddy habitats, almost the entire area was affected by fisheries during the study period, while both intensity and proportion affected were lower in sandy sediments and gravels.
• 6. Around 55% of the deep rocky habitats were trawled more than twice per year. Of the muddy seafloor areas, 41% were covered more than twice per year and 4% more than once a month by trawls.
• 7. The biological effects of the fishing intensities found were analysed using a database (MarLIN) containing assessments of marine habitat recoverability. All habitats except muds are probably in a nearly or fully recovered condition (as defined by MarLIN). A considerable part of the muddy habitats are in a permanently altered condition owing to fishing disturbance taking place more frequently than the indicated recovery time.
• 8. Danish fishermen report more fishing effort in the area than do Swedes. Owing to differences in reporting fishing positions, Danish fisheries could not be included in the present study. Scaling up the results to include Danish fisheries is discussed.
• 9. The results of the present study could be used to target habitat management goals more precisely, while minimizing the negative impact of restrictions on the fishing sector.
• 10. A prerequisite for performing similar studies is the availability of high‐resolution fishing effort data and high‐resolution benthic habitat maps.

Copyright © 2006 John Wiley & Sons, Ltd.     

Population genetic structure in penaeid prawns

Genetic data are available for 27 species of penaeid prawn. Collected largely for fisheries purposes, they include information on several species of importance to aquaculture. Most studies used allozymes, but a small number have used mtDNA, random amplified polymorphic DNAs (RAPDs) and/or microsatellites. The DNA‐based markers have revealed far greater levels of variation compared with the allozyme data. However, in the few cases for which joint information is available, the mtDNA and microsatellite information tended to confirm the spatial patterns of variation detected by allozymes. These revealed little genetic variation over long distances (thousands of kilometres) for many species, but relatively major shifts in gene, or genotype, frequencies over relatively short distances (hundreds of kilometres). Much of the genetic structure in wild populations appears to reflect historical events on large biogeographical scales, rather than resulting from patterns of present‐day dispersal. Genetic variation in cultured stocks is generally less than in wild ones, the extent of the reduction being dependent upon broodstock management procedures. There is no conclusive evidence that aquaculture escapees have altered the genetic constitution of wild stocks of Penaeus monodon in Thailand. Nevertheless, the occurrence of strong patterns of geographic variation in wild stocks suggests that more detailed planning will be required to maintain this diversity, and to determine how best to capture its benefits for aquaculture.     

Multiscalar land suitability assessment for aquaculture production in Uruguay

This article presents a highly detailed territorial assessment for aquaculture production in Uruguay and a methodology to identify the most suitable areas in order to develop the activity. Furthermore, it proposes the basis to generate a dynamic modelling tool of high spatial resolution to support the decision‐making process regarding national aquaculture activities. The modelling structure of aquaculture suitability was developed by the construction of a hierarchical model, combining a multicriteria assessment and a geographic information system. Forty‐one attributes were integrated in six aptitude models: one model for each one of the five common production systems intended to be the most viable in Uruguay and a sixth aptitude indicator that summarizes those five systems, representing the maximum suitability for aquaculture activities. In addition, the hierarchical model allows measurement and identification of relative weights of each model, according to the planning scale, ranging from basin to cell.     

GIS‐based ecological risk assessment for contaminated sites by fish farm effluents using a multicriteria weight of evidence approach

In this study, an integrative weight of evidence (WOE) tetrad methodology was developed and used to assess environmental quality and ecological risk at contaminated sites by fish farm effluents using spatial modelling tools [geographical information systems (GIS) and fuzzy logic and multicriteria analysis (MCA)], taking into account the results of four lines of evidence (LOE): the physico‐chemical characteristics of water and sediment, acute toxicity bioassays, biomarkers and the in situ alteration of benthic communities. The methodology was tested in the Rio San Pedro salt marsh creek in southwestern Spain. The proposed approach allowed for a quantitative spatial characterization of ecological risk and a better discrimination based on various types of physical, chemical and biological data. The methodology illustrates how GIS spatial models may be used in conjunction with other tools such as fuzzy logic and MCA to assist in decision‐making processes based on multiple environmental quality criteria and lines of evidence, with the transparency, objectivity and synoptic ability required to address environmental management problems in general and the management of contaminated marine areas affected by fish farms in particular.     

Economic Analysis of Nile Tilapia (Oreochromis niloticus) Production in Tanzania

In Tanzania, Nile tilapia culture is a promising aquaculture enterprise. Information on production costs could assist fish farmers in economic and financial planning. Economic profitability of small‐scale Nile tilapia production in Tanzania is analyzed using a model that simulates individual fish growth and takes into account fish population dynamics in the pond. The results suggest that the current practiced mixed‐sex tilapia culture without predation is not economically sustainable. Extension efforts should be geared toward developing a Nile tilapia production system that is based on a hand‐sexed all‐male tilapia. Meanwhile catfish can be introduced in ponds to control overcrowding in mixed‐sex tilapia culture without predation. Studies to determine optimal pond sizes, availability of feed, and a quality fingerling supply chain are also fundamental for developing a sustainable Nile tilapia production system in Tanzania. Under improved Nile tilapia production systems, returns are high enough to justify investment through borrowed capital from formal institutions.     

泉州市内陆水域水产养殖规划概述

该规划科学地利用内陆水域资源,规范养殖管理,提高养殖水域利用率;合理开发利用养殖水域,有效保护养殖水域生态环境,加快完善和推进养殖管理制度;促进渔区和谐发展,确保渔业增效、渔民增收,确保内陆水域水产养殖业的可持续发展。实施该规划后,力争到2015年全市淡水水产品总产量达2．5万吨以上,比2006年增加6313吨,年均增长3．75％;淡水养殖渔民人均纯收入达10000元以上。     

基于物联网和GIS的水产养殖测控系统平台设计

针对水产养殖水质多参数监测的需求和现有水质环境监测系统存在的问题,设计了一种基于物联网和地理信息系统(GIS)的水产养殖测控系统。通过整体性能的研究分析,设计了测控系统平台的3层体系架构(传感控制层、传输层和应用层),提出了自顶向下、逐步求精以及模块化、结构化的设计方法;根据采集数据传输的可靠性、稳定性等要求,提出WiFi网状组网的配置方法,设计了系统硬件的供电模块;研究了本地服务器、中心服务器和控制模块软件系统;通过网络丢包率测试和水质溶氧量分析,验证了系统数据传输的可靠性,并在溶氧超出范围后自动控制增氧机,有效地调节池塘溶氧量。相比于传统的水产养殖远程监控系统,该系统通过物联网和GIS技术的融合,实现了水质环境的远程无线测控和区域化水产养殖管理,因此能够大大推进水产养殖智能化、自动化系统建设的发展,适应水产养殖的需要。     

Genotyping‐by‐sequencing for construction of a new genetic linkage map and QTL analysis of growth‐related traits in Pacific bluefin tuna

Pacific bluefin tuna (Thunnus orientalis) has high market value, but its wild populations have decreased in recent years. The broodstock of Pacific bluefin tuna that were hatched artificially and reared under aquaculture conditions is beginning to be used for production. The creation of broodstock with commercially valuable traits, such as rapid growth, is therefore of great interest. Genetic linkage map‐based identification of markers associated with quantitative trait loci (QTLs) facilitates marker‐assisted selection (MAS) breeding and allows efficient genetic improvement of broodstock. Single nucleotide polymorphism (SNP)‐based genetic linkage map construction using the genotyping‐by‐sequencing method can expand the number of mapped markers and help identify growth‐related QTLs. In this study, we constructed sex‐specific maps for 24 linkage groups consisting of 677 SNP and 651 microsatellite markers. The total lengths of 93 progenies in the mapping population followed normal distribution, with an average length of 9.4 mm. We performed composite interval mapping in the mapping population. QTL analysis revealed one significant QTL in LG10 on the female linkage map. The genetic linkage map—the second such map generated for Pacific bluefin tuna—and the growth‐related QTLs detected in this study will be useful for tuna aquaculture MAS programs.     

Recent advances of genome mapping and marker‐assisted selection in aquaculture

Aquaculture is the fastest growing sector in agriculture. Substantial genetic gains have been achieved in a few cultured species using conventional selective breeding approaches. However, the majority of fish and shellfish species remain in their wild state. Due to the recognition of the enormous potential of marker‐assisted selection (MAS) to speed up genetic gain through early selection, aquaculture scientists have constructed linkage maps in over 40 species and mapped quantitative trait loci (QTL) for important traits in over 20 species since the 1990s. Although MAS and genomic selection (GS) have not been widely used in aquaculture, their application in breeding programmes is expected to be a fertile area of research. In this paper, I summarized the recent advances of linkage and QTL mapping, as well as MAS in aquaculture species. I also discussed the potentials of genome‐wide association studies (GWAS) and GS in aquaculture species.