Honeycomb: a spatio-temporal simulation model to evaluate management strategies and assessment methods. Needle, C. L. ICES JOURNAL OF MARINE SCIENCE, 72(1):151-163, OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, JAN, 2015. World Conference on Stock Assessment Methods for Sustainable Fisheries, Boston, MA, JUL, 2013
doi  abstract   bibtex   
In recent years, scientists providing advice to fisheries managers have been granted access to an increasing range of spatio-temporal data from fishing vessels, using tools such as vessel monitoring systems and electronic observation platforms. This information should allow for the provision of more germane advice on the activity of vessels, and hence the likely impact of management measures which are becoming increasingly spatial in nature. However, the development of appropriate management simulation and assessment models has lagged behind the availability of these new data. This paper presents an accessible spatio-temporal simulation framework (Honeycomb) which features a weekly time-step, multiple stocks and vessels, and economic decision rules and applies this to a case study of a spatial evaluation of a simple closed-area fishery policy. We conclude that the development and utilization of such spatio-temporal simulation models is a key research task for fisheries in which both spatial fisheries data and spatial fisheries management are becoming paramount.
@article{ ISI:000350153200016,
Author = {Needle, Coby L.},
Title = {{Honeycomb: a spatio-temporal simulation model to evaluate management
   strategies and assessment methods}},
Journal = {{ICES JOURNAL OF MARINE SCIENCE}},
Year = {{2015}},
Volume = {{72}},
Number = {{1}},
Pages = {{151-163}},
Month = {{JAN}},
Note = {{World Conference on Stock Assessment Methods for Sustainable Fisheries,
   Boston, MA, JUL, 2013}},
Abstract = {{In recent years, scientists providing advice to fisheries managers have
   been granted access to an increasing range of spatio-temporal data from
   fishing vessels, using tools such as vessel monitoring systems and
   electronic observation platforms. This information should allow for the
   provision of more germane advice on the activity of vessels, and hence
   the likely impact of management measures which are becoming increasingly
   spatial in nature. However, the development of appropriate management
   simulation and assessment models has lagged behind the availability of
   these new data. This paper presents an accessible spatio-temporal
   simulation framework (Honeycomb) which features a weekly time-step,
   multiple stocks and vessels, and economic decision rules and applies
   this to a case study of a spatial evaluation of a simple closed-area
   fishery policy. We conclude that the development and utilization of such
   spatio-temporal simulation models is a key research task for fisheries
   in which both spatial fisheries data and spatial fisheries management
   are becoming paramount.}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Needle, CL (Reprint Author), Marine Scotland Sci, Marine Lab, Aberdeen AB11 9DB, Scotland.
   Marine Scotland Sci, Marine Lab, Aberdeen AB11 9DB, Scotland.}},
DOI = {{10.1093/icesjms/fsu130}},
ISSN = {{1054-3139}},
EISSN = {{1095-9289}},
Keywords = {{closed areas; fishery simulation; management strategy evaluation;
   spatial fishery analysis}},
Keywords-Plus = {{MARINE PROTECTED AREAS; NORTH-SEA PLAICE; COD; FISHERIES; CAPELIN;
   STOCKS; FLR; BAY}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Author-Email = {{needlec@marlab.ac.uk}},
Number-of-Cited-References = {{53}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{ICES J. Mar. Sci.}},
Doc-Delivery-Number = {{CC2CT}},
Unique-ID = {{ISI:000350153200016}},
OA = {{No}},
DA = {{2017-08-17}},
}

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