The economic value of environmental data: a notional insurance scheme for the European anchovy. Maria Rincon, M., Mumford, J. D., Levontin, P., Leach, A. W., & Ruiz, J. ICES JOURNAL OF MARINE SCIENCE, 73(4):1033-1041, OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, MAR-APR, 2016. doi abstract bibtex Anchovy population dynamics in the Gulf of Cadiz are governed by environmental processes. Sea surface temperature, intense easterly winds, and discharges from the Guadalquivir River have been identified as key factors determining early life stage mortality in this anchovy stock. We have constructed an environment-based recruitment model that simulates the abundance of juveniles under alternative parameters representing plausible biological hypotheses. We are able to evaluate how modelling environment-based recruitment can affect stock assessment and how responding to environmental information can benefit fishery management to allow greater average catch levels through the application of harvest control rules (HCRs) based on environmental conditions. While the environment-based rules generally increase allowable catch levels the variance in catch levels also increases, detracting from the improved value based only on average yield. In addition to changes in revenue, the probability of stock collapse is also reduced by using environmental factors in HCRs. To assess the value of these management systems we simulate a notional insurance scheme, which applies a value to both average yields and uncertainty. The value of the information-driven rules can be determined by comparing the relevant premiums payable for equal levels of insurance cover on revenue within each specific management regime. We demonstrate the net value of incorporating environmental factors in the management of anchovies in the Gulf of Cadiz despite the increased variability in revenue. This could be an effective method to describe outcomes for both commercial fisheries and ecosystem management policies, and as a guide to management of other species whose dynamics are predictable based on in-season observations.
@article{ ISI:000373233600005,
Author = {Maria Rincon, Margarita and Mumford, John D. and Levontin, Polina and
Leach, Adrian W. and Ruiz, Javier},
Title = {{The economic value of environmental data: a notional insurance scheme
for the European anchovy}},
Journal = {{ICES JOURNAL OF MARINE SCIENCE}},
Year = {{2016}},
Volume = {{73}},
Number = {{4}},
Pages = {{1033-1041}},
Month = {{MAR-APR}},
Abstract = {{Anchovy population dynamics in the Gulf of Cadiz are governed by
environmental processes. Sea surface temperature, intense easterly
winds, and discharges from the Guadalquivir River have been identified
as key factors determining early life stage mortality in this anchovy
stock. We have constructed an environment-based recruitment model that
simulates the abundance of juveniles under alternative parameters
representing plausible biological hypotheses. We are able to evaluate
how modelling environment-based recruitment can affect stock assessment
and how responding to environmental information can benefit fishery
management to allow greater average catch levels through the application
of harvest control rules (HCRs) based on environmental conditions. While
the environment-based rules generally increase allowable catch levels
the variance in catch levels also increases, detracting from the
improved value based only on average yield. In addition to changes in
revenue, the probability of stock collapse is also reduced by using
environmental factors in HCRs. To assess the value of these management
systems we simulate a notional insurance scheme, which applies a value
to both average yields and uncertainty. The value of the
information-driven rules can be determined by comparing the relevant
premiums payable for equal levels of insurance cover on revenue within
each specific management regime. We demonstrate the net value of
incorporating environmental factors in the management of anchovies in
the Gulf of Cadiz despite the increased variability in revenue. This
could be an effective method to describe outcomes for both commercial
fisheries and ecosystem management policies, and as a guide to
management of other species whose dynamics are predictable based on
in-season observations.}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Rincon, MM (Reprint Author), Invest Cient ICMAN CSIC, Dept Coastal Ecol \& Management, Inst Ciencias Marinas Andalucia, Consejo Super, Cadiz 11510, Spain.
Maria Rincon, Margarita; Ruiz, Javier, Invest Cient ICMAN CSIC, Dept Coastal Ecol \& Management, Inst Ciencias Marinas Andalucia, Consejo Super, Cadiz 11510, Spain.
Mumford, John D.; Levontin, Polina; Leach, Adrian W., Univ London Imperial Coll Sci Technol \& Med, Ctr Environm Policy, Silwood Pk Campus, Ascot SL5 7PY, Berks, England.}},
DOI = {{10.1093/icesjms/fsv268}},
ISSN = {{1054-3139}},
EISSN = {{1095-9289}},
Keywords = {{Gulf of Cadiz and European anchovy; harvest control rule; insurance;
risk}},
Keywords-Plus = {{ENGRAULIS-ENCRASICOLUS L.; CADIZ SW SPAIN; MANAGEMENT PROCEDURES;
FISHERIES; ATLANTIS; BAY; BISCAY; STOCKS; MODEL; GULF}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Web-of-Science-Categories = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Author-Email = {{margarita.rincon@icman.csic.es}},
Funding-Acknowledgement = {{European Union Seventh Framework Programme {[}244706, 613571]; Junta de
Andalucia {[}P09-RNM-5358]}},
Funding-Text = {{The research leading to these results has received funding from the
European Union Seventh Framework Programme (FP7/2007-2013) under grant
agreement 244706/ECOKNOWS project. However, the paper does not
necessarily reflect EC views and in no way anticipates the Commission's
future policy in the area. M.M.R. was funded by P09-RNM-5358 of the
Junta de Andalucia and the European Union Seventh Framework
Programme(FP7-KBBE-2013) under grant agreement 613571/MAREFRAME project.}},
Number-of-Cited-References = {{34}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{ICES J. Mar. Sci.}},
Doc-Delivery-Number = {{DI1CM}},
Unique-ID = {{ISI:000373233600005}},
OA = {{No}},
DA = {{2017-08-17}},
}
Downloads: 0
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