Description from NSF award abstract:
Many marine populations exhibit complex life histories in which larval and juvenile stages are spatially separated from adults. This is the case for many coastal-spawning, estuarine-dependent fishes which utilize multiple estuaries as nursery grounds to ensure that recruitment failure in any single estuary does not translate to total recruitment failure at the population level. For these species, the location and timing of spawning is believed to regulate the pattern of supply of larvae to potential estuarine nursery areas. Furthermore, many of these species exhibit age-dependent coastal migrations which increase in amplitude with age. Thus, there is the potential that changes in the age structure in the population can affect the pattern of supply of larvae to nursery areas and structure the pattern of recruitment. The investigators will carry out an integrated empirical and simulation approach to study the sources, patterns and consequences of larval supply to estuarine nursery areas for Atlantic menhaden (Brevoortia tyrannus) along the East Coast of the US. The first goal will be to quantify the contribution of these nursery areas to coast wide recruitment. Juvenile menhaden from nursery areas from Massachusetts to Georgia will be sampled and the microchemical constituents of their otoliths will be characterized. These chemical signatures will be used to assign the nursery affinities of adult menhaden in the coastwide population. The investigators will test the null hypothesis that the Chesapeake Bay remains the most important source of recruits to the population. By determining the nursery affinities of adults from different year classes in the population they will assess whether the contribution of nurseries varies or has shifted over time. The second goal is use a population model linked to an individual-based coupled physical-biological model of recruitment to evaluate whether the known age-dependent migrations of adult menhaden are sufficient to cause the observed shifts in the distribution of larval menhaden that seed potential nursery areas. The simulation model will assist in evaluating mechanisms behind observed changes in the distribution of juvenile menhaden.
This work will contribute to the fundamental understanding of the regulation of spatially-structured marine populations. The last decade has seen the range extension of several estuarine-dependent marine species with dispersive larvae and the long-term recruitment decline of others. This integrated research program seeks to explore the effects of population demography, oceanographic circulation, and nursery site diversity on subsequent population dynamics. Given the documented changes in habitat quality in many estuarine nursery areas, and the anticipated impacts of climate change on oceanographic circulation, distributional changes in individual species are likely to become more common. Moreover, given the pivotal role that many estuarine-dependent species play in many marine ecosystems, understanding distributional changes will have direct consequences for the structure and function of the ecosystems to which they belong. The project will also train young scientists in areas of research (quantitative fisheries ecology, physical oceanography) for which there is current a national need.
Note: This project is an NSF Collaborative Research project.
Dataset | Latest Version Date | Current State |
---|---|---|
Model results from a physical biological model tracking larval menhaden in the mid-Atlantic Bight (Contribution of Menhaden Nurseries project) | 2015-05-06 | Preliminary and in progress |
Otolith chemistry from Menhaden nurseries collected from multiple sites along the US Eastern Coast from 2009-2011 (Contribution of Menhaden Nurseries project) | 2014-10-01 | Final no updates expected |
Sampling Locations from Menhaden Nurseries multiple sites along the Eastern Coast of the US from 2009-2011 (Contribution of Menhaden Nurseries project) | 2014-10-01 | Final no updates expected |
Principal Investigator: Cynthia M. Jones
Old Dominion University (ODU)
Principal Investigator: Thomas Miller
University of Maryland Center for Environmental Science (UMCES/CBL)
Principal Investigator: John Wilkin
Rutgers University (Rutgers IMCS)
Co-Principal Investigator: Jason Schaffler
Old Dominion University (ODU)
Contact: Cynthia M. Jones
Old Dominion University (ODU)