An introduction to FLR fisheries simulation tools. Hillary, R. AQUATIC LIVING RESOURCES, 22(2):225-232, EDP SCIENCES S A, 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A, FRANCE, APR-JUN, 2009. doi abstract bibtex Fisheries libraries in R (FLR) is an open-source software framework based in the R statistical software environment, with the main purpose of allowing for the efficient simulation and evaluation of fisheries management strategies. This paper details a generic (non-spatial) biological operating model used to simulate populations and their reaction to fishing, and an observation error model and methods for simulating structured sampling/observation error and bias in key fisheries assessment indices. It also contains the details of how the candidate harvest control rules, based on survey-derived information, can be characterised and implemented, and how the processes of management strategy evaluation and stock assessment can be included in the simulations.
@article{ ISI:000267128000013,
Author = {Hillary, Richard},
Title = {{An introduction to FLR fisheries simulation tools}},
Journal = {{AQUATIC LIVING RESOURCES}},
Year = {{2009}},
Volume = {{22}},
Number = {{2}},
Pages = {{225-232}},
Month = {{APR-JUN}},
Abstract = {{Fisheries libraries in R (FLR) is an open-source software framework
based in the R statistical software environment, with the main purpose
of allowing for the efficient simulation and evaluation of fisheries
management strategies. This paper details a generic (non-spatial)
biological operating model used to simulate populations and their
reaction to fishing, and an observation error model and methods for
simulating structured sampling/observation error and bias in key
fisheries assessment indices. It also contains the details of how the
candidate harvest control rules, based on survey-derived information,
can be characterised and implemented, and how the processes of
management strategy evaluation and stock assessment can be included in
the simulations.}},
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 = {{Hillary, R (Reprint Author), Imperial Coll, Div Biol, Ascot SL5 7PL, Berks, England.
Imperial Coll, Div Biol, Ascot SL5 7PL, Berks, England.}},
DOI = {{10.1051/alr/2009023}},
ISSN = {{0990-7440}},
Keywords = {{Management strategy evaluation; Fishery-independent data; Observation
error model; Harvest control rules; FLR}},
Keywords-Plus = {{MANAGEMENT PROCEDURES; STRATEGY EVALUATION; HARVEST; STOCK}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology}},
Web-of-Science-Categories = {{Fisheries; Marine \& Freshwater Biology}},
Author-Email = {{r.hillary@imperial.ac.uk}},
ResearcherID-Numbers = {{Hillary, Richard/L-3300-2013}},
Number-of-Cited-References = {{19}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Aquat. Living Resour.}},
Doc-Delivery-Number = {{459SB}},
Unique-ID = {{ISI:000267128000013}},
OA = {{No}},
DA = {{2017-08-17}},
}
Downloads: 0
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