COLLOQUIUM
DEPARTMENT OF MATHEMATICS AND STATISTICS
OAKLAND UNIVERSITY
ROCHESTER, MICHIGAN 48309
Patrick De Leenheer
University of Florida

Mathematical models of Marine
protected areas
Abstract: Marine protected areas (MPAs)
are promoted as a tool to protect overfished stocks and increase fishery
yields. Previous models suggested that
adult mobility modified effects of MPAs by reducing densities of fish inside
reserves but increasing yields (i.e., increasing densities outside of
MPAs). Empirical studies contradicted
this prediction: as mobility increased, the relative density of fishes inside
MPAs (relative to outside) increased or stayed constant. Initially we hypothesized that this
disparity between theoretical and empirical results was the result of
differential movement of fish inside vs. outside the MPA. We therefore developed a model with unequal
and discontinuous diffusion, and analyzed its steady state and stability. We determined the Abundance in the Fishing
Grounds, the Yield, the Total Abundance and the Log Ratio at steady-state and
examined their response to adult mobility (while keeping the relative inequity
in the diffusion constant). Abundance in
the Fishing Grounds and Yield increased, while Total Abundance and Log-Ratio
decreased, as mobility increased. These
results were all qualitatively consistent with previous models assuming uniform
diffusivity. Thus, the mismatch between
empirical and theoretical results must result from other processes or other
forms of differential movement. Therefore we modified our original model by
assuming that species located on the boundary of the MPA will preferentially
move towards the MPA. This
localized movement bias model gives rise to steady state profiles that can
differ radically from the profiles in the unbiased model, especially when the
bias is large. Moreover, for sufficiently large bias values, the monotonicity
of the four measures with increased mobility is reversed, when compared to our
original model. Thus, the movement bias model reconciles empirical data and
theoretical results
Thursday, March 3, 2011
2:30 – 3:30 P.M.
372 Science and Engineering Building
(Refreshments at 2:00-2:30 PM in the kitchen area adjacent to 368 SEB)