@article{ ISI:000267128000014,
Author = {Lembo, Giuseppe and Abella, Alvaro and Fiorentino, Fabio and Martino,
   Sergio and Spedicato, Maria-Teresa},
Title = {{ALADYM: an age and length-based single species simulator for exploring
   alternative management strategies}},
Journal = {{AQUATIC LIVING RESOURCES}},
Year = {{2009}},
Volume = {{22}},
Number = {{2}},
Pages = {{233-241}},
Month = {{APR-JUN}},
Abstract = {{ALADYM (age-length based dynamic model) is an age-length based
   simulation model designed to predict the consequences of management
   scenarios on a single population, in terms of different metrics and
   indicators. Removals are simulated as total mortality modulated using a
   selectivity pattern and a fishing activity coefficient. ALADYM uses the
   classical equations of population dynamics to create a tool that uses
   fishery-independent information (e. g. from trawl surveys) as the
   primary source. The formulation of population dynamics at a small time
   scale (month) allows to model the effects of harvest controls that
   evolve through the year, which is particularly useful for fast growing
   species. The possibility of specifying a vector of natural mortality by
   age/length makes the model more suitable for situations where stocks are
   exploited at an early life stage, as in many Mediterranean fisheries,
   while introducing variations along the time of the harvesting pattern
   accounts for non-equilibrium situations. Stochastic effects can be added
   to some key life-history traits to incorporate uncertainty in input
   parameters and in their relationships. ALADYM can be used for a range of
   applications such as comparing management strategies, evaluating
   indicator changes or searching for reference points.}},
Publisher = {{EDP SCIENCES S A}},
Address = {{17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lembo, G (Reprint Author), COISPA Tecnol \& Ric, Via Trulli 18-20, I-70126 Bari, Italy.
   Lembo, Giuseppe; Martino, Sergio; Spedicato, Maria-Teresa, COISPA Tecnol \& Ric, I-70126 Bari, Italy.
   Abella, Alvaro, ARPAT AREA MARE, Livorno, Italy.
   Fiorentino, Fabio, IAMC CNR, Mazara Del Vallo, TP, Italy.}},
DOI = {{10.1051/alr/2009024}},
ISSN = {{0990-7440}},
Keywords = {{Fish population dynamics; Simulation model; Fishery-independent
   approach; Fishery management}},
Keywords-Plus = {{STOCK-RECRUITMENT RELATIONSHIP; NATURAL MORTALITY; MODEL; RESOURCES;
   FISHERIES; CURVES; L.}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology}},
Author-Email = {{lembo@coispa.it}},
Funding-Acknowledgement = {{European Commission {[}FP5-502572, FP6-044227]}},
Funding-Text = {{This study was partially funded by the European Commission under Fisboat
   project (FP5-502572) and also partly supported in a later phase by the
   Image project (FP6-044227). We gratefully acknowledge Verena Trenkel for
   helpful comments and suggestions. We also thank John Cotter providing
   supportive remarks to the manuscript.}},
Number-of-Cited-References = {{55}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Aquat. Living Resour.}},
Doc-Delivery-Number = {{459SB}},
Unique-ID = {{ISI:000267128000014}},
OA = {{No}},
DA = {{2017-08-17}},
}

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Removals are simulated as total mortality modulated using a selectivity pattern and a fishing activity coefficient. ALADYM uses the classical equations of population dynamics to create a tool that uses fishery-independent information (e. g. from trawl surveys) as the primary source. The formulation of population dynamics at a small time scale (month) allows to model the effects of harvest controls that evolve through the year, which is particularly useful for fast growing species. The possibility of specifying a vector of natural mortality by age/length makes the model more suitable for situations where stocks are exploited at an early life stage, as in many Mediterranean fisheries, while introducing variations along the time of the harvesting pattern accounts for non-equilibrium situations. Stochastic effects can be added to some key life-history traits to incorporate uncertainty in input parameters and in their relationships. 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