Modelling fish spatial dynamics and local density-dependence relationships: detection of patterns at a global scale
Authored by P Cury, Page C Le, JP Treuil, O Anneville
Date Published: 1998
DOI: 10.1016/s0990-7440(98)80001-6
Sponsors:
No sponsors listed
Platforms:
C++
Model Documentation:
Other Narrative
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Mathematical description
Model Code URLs:
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Abstract
A model is used to explore whether local density-dependent recruitment
relationships can be observed when considering a larger scale. A virtual
population of spawners is tracked within an artificial environment
composed of cells. Spawners can move from one cell to another on a
spatial grid defined as a square lattice (lattice scale) made of 20 x 20
jointed hexagonal cells (local scale). Five spawner's behaviours are
experimented successively: i) spawners stay in the same cell to spawn;
ii) they move randomly towards one of the neighbouring cells; iii) they
move towards the least populated neighbouring cell; iv) they move
towards the most populated neighbouring cell; and v) they move randomly
towards a neighbouring cell and then move towards the most populated
neighbouring cell. When the migration of spawners is achieved, spawners
reproduce only once, recruitment takes place and then they disappear.
The recruitment is an event which occurs at a local scale: at the scale
of the cell. Using Ricker's stock-recruitment relationship, in each cell
the number of recruits is a function of the spawners. Random migrations
and migrations towards the less populated cell allow a homogeneous
distribution of the spawners throughout the lattice. Whereas in the
three other cases, this distribution is not homogenised. The
homogenisation of the lattice allows synchrony between local populations
and then a stock-recruitment relationship is observable at the lattice
scale. Simulations show that local density-dependence is not always
detectable when considering large spatial scale. This result strengthens
the idea that the choice of spatial scale is essential when studying
stock-recruitment relationship. (C) Ifremer/Elsevier, Paris.
Tags
Migration
Coexistence
Chaos
Recruitment
stability
Stock
Metapopulation dynamics
Population regulation
Linked populations