| Geology and Geomorphology |
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Seafloor and subsurface mapping (bathymetry, habitat, sediments, seismic, geomorphology) |
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Pre-anthropogenic and historical environmental reconstructionSediment budget and movement |
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Estuary linkage to the Gulf of Mexico |
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Land use, land cover, and urbanization history and mapping |
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Digital elevation, topo-bathy mapping/modeling of drainage basin |
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Coastal change and hazards |
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Ecosystem Structure and Function
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Habitat distribution, degradation, loss, and restoration |
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Critical controls on seagrass health and distribution |
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Critical controls on wetland health and distribution |
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Harmful algal blooms |
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Introduced (exotic) species |
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Benthic and planktonic productivity, carbon and nutrient cycling |
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Hydrodynamics
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Storm-water runoff |
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Groundwater inflow |
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Natural and anthropogenic flow alteration |
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Changes in freshwater inflow |
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Water circulation and residence times |
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Wave energy impacts |
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Water and Sediment Quality
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Excess nutrients |
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Salinity |
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Toxic chemicals |
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Pathogens |
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Contaminant hot spots (PAHs, DDT, chlordane, dioxin, nickel, chromium, arsenic, tributyl tin, etc.) |
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Sediment/water interface processes |
Each of these system components is clearly linked. For example, changes in hydrodynamics (water runoff, inflow, circulation) will, inevitably, affect water and sediment quality which, in turn, may affect the distribution of benthic habitats such as seagrass beds, which then affects sediment accumulation and transport, and eventually alters bathymetry. As a consequence, fishing resources may decline due to destruction of benthic habitat, changes in bathymetry may alter navigation routes, etc.
Effective management of coastal resources including estuaries relies upon the ability to examine the consequences of natural and anthropogenic changes on the ecosystem, and the ability to predict how a change in one system component will affect other system components. This predictive ability can only be achieved by developing an understanding of the interrelationships between system components and development of reliable predictive models that aid resource managers in science-based decision making with respect to restoration and regulatory goals. Examining these interrelationships, or establishing links, between system components can be achieved most effectively through an integrated science approach (Figure 1).
The factors driving the necessity for an integrated science approach are common to most U.S.G.S. science endeavors and include: social and economic factors concerning the use and preservation of estuarine resources; natural and anthropogenic influences resulting in estuarine ecosystem change; the need to plan, execute, and evaluate restoration and regulatory activities; insuring human health and safety; and enhancing science-based decision making.
Most coastal ecosystems have existing research and monitoring efforts either through local universities and agencies or other federally funded exercises. However, many of these efforts lack the resources or expertise to address large-scale integrated science efforts. While much historical information and monitoring data may exist in a given estuarine location, synthesis and integration of existing data, and acquisition of new data to establish links and develop interpretations and products that reveal these links is a critical missing component of many estuarine research programs.
Realizing that the state of knowledge of any given estuarine system will vary from place to place, a successful integrated science strategy must be founded on partnerships and collaborative efforts between multidisciplinary teams of U.S.G.S. scientists and the federal, state, and local entities already engaged in research efforts in a given location. Additionally, the science and management approach must be structured to maintain flexibility to accommodate various states of knowledge realizing that critical issues and research priorities will evolve as a project progresses. The primary challenge of an approach to integrated science for adaptive management is to carefully plan and perform integrated field-work and integrated product development that will clearly establish links between system components and provide useful predictive tools for resource managers and scientists.
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