Toward a Dynamical Approach for Systematic Conservation Planning of Eastern English Channel Fisheries

In the past decade, systematic conservation planning tools have been increasingly and successfully used to set spatial conservation plans that meet quantitative protection targets while minimizing enforcement and socioeconomic costs. However, when applied to fisheries, systematic conservation planning fails to account for (1) changes in fleet dynamics induced by new conservation constraints and their associated feedbacks on conservation costs or (2) their influence on fish population dynamics and distributions, which may in turn alter the achievement of conservation targets. Such a static approach may therefore lead to short- or medium-term misestimates in forecasted costs and target achievements. In order to circumvent such limitations of systematic conservation planning, we present a first attempt to couple a conservation planning tool (Marxan with Zones) with a mixed fisheries dynamics simulation model (ISIS-Fish), applied to the Eastern English Channel fisheries. Broad principles and perspectives are discussed and anticipated future challenges of such an approach are presented.

[1]  Stéphanie Mahévas,et al.  ISIS-Fish, a generic and spatially explicit simulation tool for evaluating the impact of management measures on fisheries dynamics , 2004 .

[2]  Hugh P. Possingham,et al.  Spatial marine zoning for fisheries and conservation , 2010 .

[3]  Simon Jennings,et al.  Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data , 2010 .

[4]  张静,et al.  Banana Ovate family protein MaOFP1 and MADS-box protein MuMADS1 antagonistically regulated banana fruit ripening , 2015 .

[5]  Hugh P. Possingham,et al.  Marxan with Zones: Software for optimal conservation based land- and sea-use zoning , 2009, Environ. Model. Softw..

[6]  Hilaire Drouineau,et al.  Evaluation of the bio-economic sustainability of multi-species multi-fleet fisheries under a wide range of policy options using ISIS-Fish , 2009 .

[7]  Trevor Hastie,et al.  Novel methods for the design and evaluation of marine protected areas in offshore waters , 2008 .

[8]  Robert J. Smith,et al.  Marine conservation science and governance in North–West Europe: Conservation planning and international law and policy , 2013 .

[9]  Octavio Aburto-Oropeza,et al.  A General Model for Designing Networks of Marine Reserves , 2002, Science.

[10]  Pierre Petitgas,et al.  Combining sensitivity and uncertainty analysis to evaluate the impact of management measures with ISIS–Fish: marine protected areas for the Bay of Biscay anchovy (Engraulis encrasicolus) fishery , 2010 .

[11]  Louisa Wood,et al.  Toward representative protection of the world's coasts and oceans—progress, gaps, and opportunities , 2008 .

[12]  Pierre Petitgas,et al.  A simulation-based approach to assess sensitivity and robustness of fisheries management indicators for the pelagic fishery in the Bay of Biscay , 2013 .

[13]  M. Linkie,et al.  Ensuring local stakeholder support for marine conservation: establishing a locally-managed marine area network in Aceh , 2012, Oryx.

[14]  Sébastien Rochette,et al.  Coupling hydrodynamic and individual‐based models to simulate long‐term larval supply to coastal nursery areas , 2012 .

[15]  R. Pressey,et al.  Designing, implementing and managing marine protected areas: emerging trends and opportunities for coral reef nations , 2011 .

[16]  H. Leslie.  A Synthesis of Marine Conservation Planning Approaches , 2005 .

[17]  S. Vaz,et al.  Defining a pelagic typology of the eastern English Channel , 2013 .

[18]  Hugh P. Possingham,et al.  Marxan with Zones (v1. 0.1): Conservation Zoning using Spatially Explicit Annealing, a Manual , 2008 .

[19]  Hilaire Drouineau,et al.  Assessing the impact of different management options using ISIS-Fish : the French Merluccius merluccius - Nephrops norvegicus mixed fishery of the Bay of Biscay , 2006 .

[20]  Sigrid Lehuta,et al.  A Spatial Model of the Mixed Demersal Fisheries in the Eastern Channel , 2015 .

[21]  Christian Möllmann,et al.  A model-based evaluation of Marine Protected Areas: the example of eastern Baltic cod (Gadus morhua callarias L.) , 2009 .

[22]  Robert J. Smith,et al.  Developing best practice for using Marxan to locate Marine Protected Areas in European waters , 2009 .

[23]  Stéphanie Mahévas,et al.  Supporting Fisheries Management by Means of Complex Models: Can We Point out Isles of Robustness in a Sea of Uncertainty? , 2013, PloS one.

[24]  Corinne S. Martin,et al.  Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools , 2012 .

[25]  J. Bertrand,et al.  Ecosystem trends: evidence for agreement between fishers' perceptions and scientific information , 2008 .

[26]  Georg H. Engelhard,et al.  The Channel Habitat Atlas for Marine Resource Management (CHARM): an aid for planning and decision-making in an area under strong anthropogenic pressure , 2009 .

[27]  Olivier Thébaud,et al.  Quota allocation in mixed fisheries: a bioeconomic modelling approach applied to the Channel flatfish fisheries , 2011 .

[28]  Michel Desprez,et al.  Physical and biological impact of marine aggregate extraction along the French coast of the Eastern English Channel: short- and long-term post-dredging restoration , 2000 .

[29]  S. Gaines,et al.  Evolving science of marine reserves: New developments and emerging research frontiers , 2010, Proceedings of the National Academy of Sciences.

[30]  Daniel Pauly,et al.  Assessing progress towards global marine protection targets: shortfalls in information and action , 2008, Oryx.

[31]  A. Rijnsdorp,et al.  Mixed fisheries management: protecting the weakest link , 2013 .