| Literature DB >> 26064531 |
Anna Kuparinen1, Jeffrey A Hutchings2.
Abstract
Negative density-dependent regulation of population dynamics promotes population growth at low abundance and is therefore vital for recovery following depletion. Inversely, any process that reduces the compensatory density-dependence of population growth can negatively affect recovery. Here, we show that increased adult mortality at low abundance can reverse compensatory population dynamics into its opposite-a demographic Allee effect. Northwest Atlantic cod (Gadus morhua) stocks collapsed dramatically in the early 1990s and have since shown little sign of recovery. Many experienced dramatic increases in natural mortality, ostensibly attributable in some populations to increased predation by seals. Our findings show that increased natural mortality of a magnitude observed for overfished cod stocks has been more than sufficient to fundamentally alter the dynamics of density-dependent population regulation. The demographic Allee effect generated by these changes can slow down or even impede the recovery of depleted populations even in the absence of fishing.Entities:
Keywords: Atlantic cod; density-dependence; fisheries; overfishing; population growth rate; recovery
Year: 2014 PMID: 26064531 PMCID: PMC4448890 DOI: 10.1098/rsos.140075
Source DB: PubMed Journal: R Soc Open Sci ISSN: 2054-5703 Impact factor: 2.963
Figure 1.Projected per capita population growth rates (r) at varying population abundances. Values of r estimated for individual cohorts are plotted as grey dots against the population biomass (expressed as % of carrying capacity, K) in the year the cohort was born. The average growth rates calculated for abundance ranges 0–10% of K,…,90–100% of K are shown with black dots, and the black vertical lines encompass 95% CIs (many of these are not readily discernable because they overlap with the dot). Scenarios for the proportional increase in natural mortality at abundances below 20% of K are indicated on the right of the panels and scenarios for evolution/no evolution are identified at the top of each set of panels; each panel represents the results of 20 replicated simulation runs. Simulations with 100% mortality increase did not recover (figure 2) and, therefore, a similar r-abundance plot could not be drawn for this scenario.
Figure 2.Temporal changes in population biomass during the fishing and recovery periods. Mortality-increase scenarios are indicated by the key and five randomly chosen replicated simulation runs are shown for each scenario. Simulations illustrated here were conducted with the non-evolutionary model version. The dashed vertical line indicates the beginning of fishing, which was continued until the population had declined to 5% of its carrying capacity, K.