00675nas a2200169   4500008003900000022001300039245014100052210006900193260001200262300001400274490000800288100002200296700002100318700002000339700001900359856012700378       2015                          d  a0025326X00aInforming Marine Spatial Planning (MSP) with numerical modelling: A case-study on shellfish aquaculture in Malpeque Bay (Eastern Canada)0 aInforming Marine Spatial Planning MSP with numerical modelling A  c11/2015  a200 - 2160 v1001 aFilgueira, Ramón1 aGuyondet, Thomas1 aBacher, Cédric1 aComeau, Luc, A  u//www.simulistics.com/publications/informing-marine-spatial-planning-msp-numerical-modelling-case-study-shellfish-aquacult02509nas a2200145   4500008003900000245012100039210006900160300001400229490000700243520199900250100002202249700001502271700002002286856005702306       2014                          d00aImplementation of marine spatial planning in shellfish aquaculture management: modeling studies in a Norwegian fjord0 aImplementation of marine spatial planning in shellfish aquacultu  a832–8430 v243 aShellfish carrying capacity is determined by the interaction of a cultured species
with its ecosystem, which is strongly influenced by hydrodynamics. Water circulation controls
the exchange of matter between farms and the adjacent areas, which in turn establishes the
nutrient supply that supports phytoplankton populations. The complexity of water circulation
makes necessary the use of hydrodynamic models with detailed spatial resolution in carrying
capacity estimations. This detailed spatial resolution also allows for the study of processes that
depend on specific spatial arrangements, e.g., the most suitable location to place farms, which
is crucial for marine spatial planning, and consequently for decision support systems. In the
present study, a fully spatial physical-biogeochemical model has been combined with scenario
building and optimization techniques as a proof of concept of the use of ecosystem modeling
as an objective tool to inform marine spatial planning. The object of this exercise was to
generate objective knowledge based on an ecosystem approach to establish new mussel
aquaculture areas in a Norwegian fjord. Scenario building was used to determine the best
location of a pump that can be used to bring nutrient-rich deep waters to the euphotic layer,
increasing primary production, and consequently, carrying capacity for mussel cultivation. In
addition, an optimization tool, parameter estimation (PEST), was applied to the optimal
location and mussel standing stock biomass that maximize production, according to a
preestablished carrying capacity criterion. Optimization tools allow us to make rational and
transparent decisions to solve a well-defined question, decisions that are essential for policy
makers. The outcomes of combining ecosystem models with scenario building and
optimization facilitate planning based on an ecosystem approach, highlighting the capabilities
of ecosystem modeling as a tool for marine spatial planning.1 aFilgueira, Ramón1 aGrant, Jon1 aStrand, Øivind  uhttp://www.esajournals.org/doi/pdf/10.1890/13-0479.1