Home
Resource
Using ecosystem models to understand the faunal response to non-trophic impacts in an estuarine ecosystem
PDF
PDF format is widely accepted and good for printing.
Plug-in required
PDF-1(3.80 MB)
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Vasslides, James Michael. Using ecosystem models to understand the faunal response to non-trophic impacts in an estuarine ecosystem. Retrieved from https://doi.org/doi:10.7282/T3R78HB2

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleUsing ecosystem models to understand the faunal response to non-trophic impacts in an estuarine ecosystem
NameVasslides, James Michael (author); Jensen, Olaf P. (chair); Able, Kenneth (internal member); McCay, Bonnie (internal member); Townsend, Howard (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2016
Other Date2016-01 (degree)
SubjectEcology and Evolution, Ecosystem management, Barnegat Bay (N.J.)
Extent1 online resource (ix, 161 p. : ill.)
DescriptionEcosystem-based management requires a holistic view of the impacts of management activities, and a number of modelling techniques have been suggested as appropriate for the task at hand. In the first chapter I utilized fuzzy logic cognitive mapping to develop conceptual models of a Barnegat Bay, a lagoonal estuarine system, among four stakeholder groups. These findings suggest that while all of the stakeholders interviewed perceive the subject ecosystem as a complex series of social and ecological interconnections, there is a core set of components that are present in most of the groups’ models that are viewed as crucial in managing the system towards some desired outcome. However, the variability in the connections between these core components and the rest of the categories influences the exact nature of these outcomes. In the second chapter I constructed a trophic-based ecosystem model for the same estuary and included mortality associated with a nuclear generating station. Under a scenario where the generating station substantially reduces its water withdrawals, the effect on the biomass of an individual species tended to be small (<3%), and the direction of the change varied by species. However, trophic interactions played an important role in determining the overall change in a species’ biomass, as some species directly impacted by the generating station had a reduced biomass in the decommissioning scenario due to increased predation mortality. In the third and fourth chapters I reviewed the available literature regarding incorporation of eutrophication and other anthropogenic impacts into the trophic-based model. I then reduced nutrient loads within models developed in the previous chapters to understand how they can be best utilized to meet the needs of resource managers. Both models responded to the nutrient load reduction in a similar fashion, despite the differences in data sources, approaches, and methodology. This suggests that in data-poor situations local ecological knowledge, collected in a stakeholder-based conceptual modelling framework, can be used to understand the patterns and relative magnitude of changes to an ecosystem that can be expected given proposed management actions. However, a more powerful approach would be to use the two models in combination, maximizing the strengths of each.
NotePh.D.
NoteIncludes bibliographical references
Noteby James Michael Vasslides
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3R78HB2
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024