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Author: Per Sparre Publisher: Food & Agriculture Org. ISBN: 9789251045268 Category : Business & Economics Languages : en Pages : 190
Book Description
This manual deals with the practical implementation of a routine data collection programme. The data collection programme is developed through a top-down approach, from the identification of the objectives down to the practical recording and management of data obtained from the fishery. The issues are dealth with both through detailed discussion and by using simple examples. The examples are mostly based on situations in tropical fisheries, and in particular, experience has been drawn from developing a data collection programme in Viet Nam. The main questions addressed i n the manual are which fisheries data to collect, where and when to collect them. Only data from commercial marine capture fisheries are considered. The methodologies used are mainly appropriate for a tropical, developing county, with many small (artisanal) vessels and a few large (industrial) vessels. The methodology is the "sample-based approach". The data collection methodology presented attempts to utilize whatever information can be obtained in practice in a developing country.
Author: Per Sparre Publisher: Food & Agriculture Org. ISBN: 9789251045268 Category : Business & Economics Languages : en Pages : 190
Book Description
This manual deals with the practical implementation of a routine data collection programme. The data collection programme is developed through a top-down approach, from the identification of the objectives down to the practical recording and management of data obtained from the fishery. The issues are dealth with both through detailed discussion and by using simple examples. The examples are mostly based on situations in tropical fisheries, and in particular, experience has been drawn from developing a data collection programme in Viet Nam. The main questions addressed i n the manual are which fisheries data to collect, where and when to collect them. Only data from commercial marine capture fisheries are considered. The methodologies used are mainly appropriate for a tropical, developing county, with many small (artisanal) vessels and a few large (industrial) vessels. The methodology is the "sample-based approach". The data collection methodology presented attempts to utilize whatever information can be obtained in practice in a developing country.
Author: National Research Council Publisher: National Academies Press ISBN: 0309174406 Category : Technology & Engineering Languages : en Pages : 194
Book Description
Ocean harvests have plateaued worldwide and many important commercial stocks have been depleted. This has caused great concern among scientists, fishery managers, the fishing community, and the public. This book evaluates the major models used for estimating the size and structure of marine fish populations (stock assessments) and changes in populations over time. It demonstrates how problems that may occur in fisheries dataâ€"for example underreporting or changes in the likelihood that fish can be caught with a given type of gearâ€"can seriously degrade the quality of stock assessments. The volume makes recommendations for means to improve stock assessments and their use in fishery management.
Author: Amoroso, R. Publisher: Food & Agriculture Org. [Author] ISBN: 9251387095 Category : Technology & Engineering Languages : en Pages : 124
Book Description
In fisheries science and management, it is not uncommon that fishery data are used at “face value”, as inputs into data-limited assessments or empirical indicator-based frameworks for management, without first conducting a thorough exploration and critical review of the data. [Author] This practice may lead to biases in results and misdirected fishery management actions. [Author] To address intermediate steps between data collection and any analysis used to inform stock status, this manual provides guidance on how to prepare, explore and critically review fishery data in data-limited situations. [Author] Throughout the manual, guidance and sample data are provided primarily in Microsoft Excel or in comma separated value (CSV) file formats, as well as through FishualizeR, a publicly available, web-based, R Shiny app that was developed to support the manual. [Author] Instructions in this manual are not intended to present a single, prescriptive path, but rather to provide guidance that may be further tailored to each individual context. [Author] It is the authors’ hope and intent that the guidance contained in this manual will allow users to better understand their data, make corrections, and gain a deeper understanding of the data’s utility in assessment and management of data-limited fisheries. [Author]
Author: Visser, T.A.M, Valbo-Jorgensen, J., Chomo, V. Publisher: Food & Agriculture Org. ISBN: 9251339457 Category : Technology & Engineering Languages : en Pages : 60
Book Description
These guidelines illustrate recommendations for good practices on data collection in Eastern European inland fisheries, and in particular the Western Balkan region, based on the methodologies and approaches used in countries throughout Europe and from FAO experience of inland fisheries in other regions. They provide guidance on the options available to inland fishery managers based on particular circumstances i.e. commercial fishing or recreational use, and they are especially relevant for assisting the economies-in transition in Europe, Caucasus and Central Asia. These guidelines are not an overarching work on inland fisheries management, nor do they provide advice on the environmental aspects or competing uses of inland water bodies. They focus on issues of data collection to support fishery managers whether they be government agencies, fishers or angler associations co-responsible for the management of inland resources in European rivers and lakes.
Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 9789251043042 Category : Electronic books Languages : en Pages : 128
Book Description
"These guidelines aim to help those who design routine data collection programmes, focusing on the relationship between typical questions asked by policy-makers and managers, and the data required for providing reliable answers. Fisheries policy and management objectives, particularly under the precautionary approach, need to be based upon analyses of reliable data. Data are needed to make rational decisions, evaluate the fisheries performance in relation to management activities and fulfil regional requirements. These objectives are achieved using fishery performance indicators. Indicators are used to measure the state of the resource, the performance of fishing controls, economic efficiency, socio-economic performance and social continuity. The primary factor in choosing what data to collect is the link between the necessary operational, biological, economic and socio-cultural indicators and their associated variables. The way in which different data variables are collected needs tobe tailored to the structure of the fishery. The strategy will be strongly influenced by the budget and personnel available, and the degree to which fishers and others co-operate. The programme must identify which variables should be collected through complete enumeration and which can be sampled. Collection methods are influenced by the variable itself, the strategy, collection point and the skill of the enumerator. Once collected, fishery data must be stored securely, but made easily available for analysis, which is achieved through a computer-based data management system, following the basic data processing principles. The implementation of a data collection programme should follow a normal project cycle, developing a new legal and institutional framework as appropriate"--Abstract.
Author: Per Sparre
Author: Per Sparre
Author: National Research Council
Author: Amoroso, R.
Author: Visser, T.A.M, Valbo-Jorgensen, J., Chomo, V.
Author: 
Author: Food and Agriculture Organization of the United Nations
Author: National Fish and Wildlife Foundation (U.S.)
Author: Michael Lee Brown
Author: Giuseppe Scarcella
Author: