MODELING OYSTER POPULATIONS .5. DECLINING PHYTOPLANKTON STOCKS AND THE POPULATION-DYNAMICS OF AMERICAN OYSTER (CRASSOSTREA-VIRGINICA) POPULATIONS

Citation
En. Powell et al., MODELING OYSTER POPULATIONS .5. DECLINING PHYTOPLANKTON STOCKS AND THE POPULATION-DYNAMICS OF AMERICAN OYSTER (CRASSOSTREA-VIRGINICA) POPULATIONS, Fisheries research, 24(3), 1995, pp. 199-222
Citations number
NO
Categorie Soggetti
Fisheries
Journal title
ISSN journal
01657836
Volume
24
Issue
3
Year of publication
1995
Pages
199 - 222
Database
ISI
SICI code
0165-7836(1995)24:3<199:MOP.DP>2.0.ZU;2-O
Abstract
Phytoplankton standing stocks have shown a steady decline in Galveston Bay, Texas over the last 20 years. Phytoplankton provides the primary food resource for oyster populations in Galveston Bay. We used a time -dependent population dynamics model of oyster populations to examine the impact of a decline in phytoplankton stocks on oyster populations. Simulations were run with two different types of mortality: winter mo rtality, assuming that the oyster fishery is the primary source of mor tality; and summer mortality, assuming that predators and disease are the primary source of mortality, All simulations showed the same quali tative trends. Market-size adults disappear from the population in abo ut 4 years, with an approximate 15% decline in food supply. Submarket- size adults maintained an increasing or steady population density for 10-14 years, after which the populations crashed to near extinction in 2-4 years. The proximate cause was a cessation in reproductive activi ty when food supply ceased to be sufficient to generate a fall spawn, an approximate 60% drop in food from current levels in Galveston Bay. The temporal sequence of mortality affected the outcome very little, T he simulations suggest that populations decline rapidly in response to declining food supplies because a minimum food level is required to s upport a market-size population and a minimal reproductive activity. T he simulations suggest that a reduction in market-size individuals is the primary early-warning signal of decreased food supply within the a ffected population and that this warning signal might easily be mistak en for overfishing. Proper management requires the monitoring of food supply and the use of a mathematical model to assess the importance of observed declines in population abundance. Unfortunately, once the fi shery is affected, little time may remain before the termination of sp awning and population extinction.