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Implications of temporal variability in larval dispersal for fish populations and fisheries on coral reefs
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Larval dispersal by ocean currents is crucial for many marine species’
life cycles, yet temporal variability in dispersal remains poorly
understood. Using a 20-year timeseries of biophysical simulations, we
model how dispersal variability can impact reef fishery populations.
Even when metapopulations are fished at supposedly sustainable levels
(40% unfished biomass), temporal variation in larval dispersal alone
can drive up to a third of local populations below depleted thresholds.
When metapopulations are depleted to 20% of unfished biomass, up to
60% of local populations drop below 10% unfished biomass, where key
ecological functions are unlikely to be maintained. This risk is
particularly acute in metapopulations where larval settlement patterns
are volatile and/or spatially synchronised. Finally, we observe recovery
of depleted populations, following fishery closures, can vary by over a
decade depending on post-closure dispersal patterns. These findings
expose how dispersal variability creates substantial, previously
unrecognized risks for marine population management.
Title: Implications of temporal variability in larval dispersal for fish populations and fisheries on coral reefs
Description:
Larval dispersal by ocean currents is crucial for many marine species’
life cycles, yet temporal variability in dispersal remains poorly
understood.
Using a 20-year timeseries of biophysical simulations, we
model how dispersal variability can impact reef fishery populations.
Even when metapopulations are fished at supposedly sustainable levels
(40% unfished biomass), temporal variation in larval dispersal alone
can drive up to a third of local populations below depleted thresholds.
When metapopulations are depleted to 20% of unfished biomass, up to
60% of local populations drop below 10% unfished biomass, where key
ecological functions are unlikely to be maintained.
This risk is
particularly acute in metapopulations where larval settlement patterns
are volatile and/or spatially synchronised.
Finally, we observe recovery
of depleted populations, following fishery closures, can vary by over a
decade depending on post-closure dispersal patterns.
These findings
expose how dispersal variability creates substantial, previously
unrecognized risks for marine population management.
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