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Schreiber, S. J.

Publications and source records attributed to Schreiber, S. J..

3 recordsLinked to original sources

Restoration of Eastern oyster populations with positive density dependence

AO_SCPCAPBSTRACTC_SCPCAPPositive density dependence can create a threshold of population states below which extinction of the population occurs. The existence of this threshold, which can often be a complex, multi-dimensional surface, rather than a single point, is of particular importance in degraded populations for which there is a desire for successful restoration. Here, we incorporated positive density dependence into a closed, size- and age-structured integral projection model parameterized with empirical data from an Eastern oyster, Crassostrea virginica, population in Pamlico Sound, North Carolina. To understand the properties of the threshold surface, and implications for restoration, we introduced a general method based on a linearization of the threshold surface at its unique, unstable equilibrium. We estimated the number of oysters of a particular age (i.e. stock enhancement), or the surface area of hard substrate required (i.e. habitat enhancement), to move a population from an extinction trajectory to a persistent trajectory. The location of the threshold surface was strongly affected by changes in the amount of local larval retention. Traditional stock enhancement with oysters less than a year old (i.e. spat) required three times as many oysters relative to stock enhancement with oysters between ages three and seven, while the success of habitat enhancement depended upon the initial size distribution of the population. The methodology described here demonstrates the importance of considering positive density dependence in oyster populations, and also provides insights into effective management and restoration strategies when dealing with a high dimensional threshold separating extinction and persistence.

ecology

Rapid evolution slows extinctions in food webs

Historically, evolutionary changes have been thought to act on much longer time scales than ecological dynamics. However, a recent body of research has demonstrated that evolution that is rapid enough to dramatically affect ecological dynamics can lead to feedbacks between ecological and evolutionary processes. Thus, to understand the stability of ecological communities, we must also consider evolutionary change in the component species. Here, we use individual-based simulations of a quantitative genetic eco-evolutionary model to describe how trait evolution influences the stability of ecological communities. On short time scales, faster evolutionary rates decreased the probability of species extinctions as populations at low densities were rescued via trait evolution. However, on longer time scales, evolutionary had little effect on the number of extinctions. The extent of short-term evolutionary rescue depended on the source of trait variation; populations with variation generated through mutation experienced more rescue events and were less prone to extinction, relative to populations with only standing trait variation. Trait evolution leading to more rescued populations increased the stability of the community on timescales relevant to conservation. Our work highlights the importance of intraspecific trait variation and the evolutionary mechanisms maintaining this variation for community ecology, as well as management of declining populations in a community context.

ecology

Partitioning the effects of eco-evolutionary feedbacks on community stability

AO_SCPCAPBSTRACTC_SCPCAPA fundamental challenge in ecology continues to be identifying mechanisms that stabilize community dynamics. By altering the interactions within a community, eco-evolutionary feedbacks may play a role in community stability. Indeed, recent empirical and theoretical studies demonstrate that these feedbacks can stabilize or destabilize communities, and moreover, that this sometimes depends on the relative rate of ecological to evolutionary processes. So far, theory on how eco-evolutionary feedbacks impact stability exists for only for a few special cases. In our work, we develop a general theory for determining the effects of eco-evolutionary feedbacks on stability in communities with an arbitrary number of interacting species and evolving traits for when evolution is slow and fast. We characterize how eco-evolutionary feedbacks lead to stable communities that would otherwise be unstable, and vice versa. We show how this characterization provides a partitioning of the roles of direct and indirect feedbacks between ecological and evolutionary processes on stability, and how this partitioning depends on the rate of evolution relative to the ecological time scales. Applying our methods to models of competing species and food chains, we demonstrate how the functional form of trade offs, genetic correlations between traits, and the rate of evolution determine whether eco-evolutionary feedbacks stabilize or destabilize communities.

ecology