Data preparation to inform assessment and management approaches in data-limited fisheries

Data preparation to inform assessment and management approaches in data-limited fisheries
Author :
Publisher : Food & Agriculture Org. [Author]
Total Pages : 124
Release :
ISBN-10 : 9789251387092
ISBN-13 : 9251387095
Rating : 4/5 (92 Downloads)

Book Synopsis Data preparation to inform assessment and management approaches in data-limited fisheries by : Amoroso, R.

Download or read book Data preparation to inform assessment and management approaches in data-limited fisheries written by Amoroso, R. and published by Food & Agriculture Org. [Author]. This book was released on 2024-04-26 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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]


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