A user-friendly tool to assess management plans for European eel fishery and conservation. Schiavina, M., Bevacqua, D., Melia, P., Crivelli, A. J., Gatto, M., & De Leo, G. A. ENVIRONMENTAL MODELLING & SOFTWARE, 64:9-17, ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, FEB, 2015. doi abstract bibtex The European eel Regulation EC 1100/2007 establishes measures to recover the European eel stock. The Regulation requires Member States to guarantee a spawner escapement >= 40% of pristine levels by reducing eel mortality. The complexity and plasticity of eel life history make it difficult to assess the effectiveness of alternative management options, and tools allowing decision makers and fishermen to quickly assess the effectiveness of proposed management scenarios are urgently needed. We used state-of-the-art knowledge to develop a user-friendly simulation software allowing users to evaluate if current management policies meet the conservation target and evaluate the expected performances (spawner escapement and fishing yield) of alternative management scenarios. The software relies upon a demographic model explicitly accounting for the most relevant features of eel demography and has default settings for specific geographical areas and water systems. We demonstrate the software by exploring a variety of management plans in three European water systems. (C) 2014 Elsevier Ltd. All rights reserved.
@article{ ISI:000349429800002,
Author = {Schiavina, Marcello and Bevacqua, Daniele and Melia, Paco and Crivelli,
Alain J. and Gatto, Marino and De Leo, Giulio A.},
Title = {{A user-friendly tool to assess management plans for European eel fishery
and conservation}},
Journal = {{ENVIRONMENTAL MODELLING \& SOFTWARE}},
Year = {{2015}},
Volume = {{64}},
Pages = {{9-17}},
Month = {{FEB}},
Abstract = {{The European eel Regulation EC 1100/2007 establishes measures to recover
the European eel stock. The Regulation requires Member States to
guarantee a spawner escapement >= 40\% of pristine levels by reducing
eel mortality. The complexity and plasticity of eel life history make it
difficult to assess the effectiveness of alternative management options,
and tools allowing decision makers and fishermen to quickly assess the
effectiveness of proposed management scenarios are urgently needed. We
used state-of-the-art knowledge to develop a user-friendly simulation
software allowing users to evaluate if current management policies meet
the conservation target and evaluate the expected performances (spawner
escapement and fishing yield) of alternative management scenarios. The
software relies upon a demographic model explicitly accounting for the
most relevant features of eel demography and has default settings for
specific geographical areas and water systems. We demonstrate the
software by exploring a variety of management plans in three European
water systems. (C) 2014 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Schiavina, M (Reprint Author), Politecn Milan, Dipartimento Elettron Informaz \& Bioingn, Via Ponzio 34-5, I-20133 Milan, Italy.
Schiavina, Marcello; Melia, Paco; Gatto, Marino, Politecn Milan, Dipartimento Elettron Informaz \& Bioingn, I-20133 Milan, Italy.
Schiavina, Marcello; Bevacqua, Daniele; De Leo, Giulio A., Univ Parma, Dipartimento Biosci, I-43100 Parma, Italy.
Bevacqua, Daniele, INRA, PSH, UR1115, F-84914 Avignon, France.
Melia, Paco; Gatto, Marino, Consorzio Interuniv Sci Mare, I-00196 Rome, Italy.
Crivelli, Alain J., Stn Biol Tour Valat, F-13200 Arles, France.
De Leo, Giulio A., Stanford Univ, Hopkins Marine Stn, Pacific Grove, CA 93950 USA.}},
DOI = {{10.1016/j.envsoft.2014.10.008}},
ISSN = {{1364-8152}},
EISSN = {{1873-6726}},
Keywords = {{Eel management plans; Anguilla anguilla; European regulation;
Demographic models; Sustainable fisheries}},
Keywords-Plus = {{FRESH-WATER ENVIRONMENTS; ANGUILLA-ANGUILLA; POPULATION-DYNAMICS;
CAMARGUE LAGOONS; STOCK DYNAMICS; GROWTH; MODEL; AGE; RIVER; SIZE}},
Research-Areas = {{Computer Science; Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories = {{Computer Science, Interdisciplinary Applications; Engineering,
Environmental; Environmental Sciences}},
Author-Email = {{m.schiavina@gmail.com}},
ResearcherID-Numbers = {{Melia, Paco/E-8844-2012
Bevacqua, Daniele/D-9421-2012
Gatto, Marino/D-9531-2012
Schiavina, Marcello/J-8287-2013
}},
ORCID-Numbers = {{Melia, Paco/0000-0002-7763-9836
Gatto, Marino/0000-0001-8063-9178
Schiavina, Marcello/0000-0003-3399-3400
De Leo, Giulio/0000-0002-4186-3369}},
Funding-Acknowledgement = {{FEDER Program; Region PACA (France); Region Languedoc-Roussillon
(France); Agence de l'eau (France)}},
Funding-Text = {{We are grateful to three anonymous reviewers for valuable comments about
the manuscript draft. We thank Pascal Contournet for all the field work,
Jacques Panfili for reading otoliths, the MRM
(Migrateurs-Rhone-Mediterranee) NGO for helping in the fieldwork and the
CAT (Compagnons de Maguelone) NGO for allowing and helping to work in
the Prevost lagoon. We also thank Elsa Amilhat for the useful testing of
the software, allowing its debugging and improvement. The web site
www.eelmanagement.eu is kindly hosted on a Stanford University server at
the Hopkins Marine Station. Financial support to this work came from the
FEDER Program, Region PACA (France), Region Languedoc-Roussillon
(France) and Agence de l'eau (France).}},
Number-of-Cited-References = {{35}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{Environ. Modell. Softw.}},
Doc-Delivery-Number = {{CB2AT}},
Unique-ID = {{ISI:000349429800002}},
OA = {{No}},
DA = {{2017-08-17}},
}
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The Regulation requires Member States to guarantee a spawner escapement >= 40% of pristine levels by reducing eel mortality. The complexity and plasticity of eel life history make it difficult to assess the effectiveness of alternative management options, and tools allowing decision makers and fishermen to quickly assess the effectiveness of proposed management scenarios are urgently needed. We used state-of-the-art knowledge to develop a user-friendly simulation software allowing users to evaluate if current management policies meet the conservation target and evaluate the expected performances (spawner escapement and fishing yield) of alternative management scenarios. The software relies upon a demographic model explicitly accounting for the most relevant features of eel demography and has default settings for specific geographical areas and water systems. We demonstrate the software by exploring a variety of management plans in three European water systems. (C) 2014 Elsevier Ltd. 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