A Mid-Chesapeake Bay Marshlands Restoration project is being developed by the Integration and Application Network, the US Army Corps of Engineers, Maryland Port Administration, US Fish & Wildlife Service, and Maryland Department of Natural Resources. This newsletter discusses the ecological, economic, and engineering issues associated with using dredged material to restore the eroding marshes of the mid-Chesapeake Bay.

Read more

Resource managers in South Florida recognize that they need to address threats to natural resources by taking action to restore and sustain ecosystems. The attention and resources formerly directed toward basic ecosystem research in South Florida are increasingly directed toward broader goals of a region-wide restoration effort.

Read more

This newsletter is based on the findings of the Conceptual Ecological Model Focus Group—March 2006 and considers restoration options in the context of the valuable national ecosystem services supplied from Coastal Louisiana. Ecosystem goods & services provided to Louisiana & the nation by coastal landscapes include wildlife & fisheries habitat, support for petrochemical production,improved water quality & flood protection, ecotourism & aesthetic appeal.

Read more

In collaboration with the University of Maryland's Cooperative Extension Service at the Wye Mills Research and Education Center, EcoCheck (NOAA - UMCES partnership) has produced a newsletter on the history and current trends of benthic communities in Maryland's Coastal Bays. Aquatic grasses and shellfish are important components of a healthy ecosystem because they provide a variety of ecosystem services, improve water quality, and are commercially valuable.

Read more

Although many studies measure the abundance of benthic microalgae (BMA), at the meters squared scale, comparing these studies is difficult due to the variety of sampling, extraction, and analysis techniques. This difficulty is exacerbated by the fact that BMA abundance has high spatial and temporal variability, at all spatial scales.

Read more

This paper proposes a neural network (NN)-embedded genetic algorithm (GA) approach for solving inverse water quality modeling problems to overcome the computational bottleneck of inverse modeling by replacing a water quality model with an efficient NN functional evaluator. An existing one-step, NN-embedded GA approach is found incapable of solving an inverse water quality modeling problem because it tends to fail in guiding the global search process to converge toward the near optima.

Read more

Communication among managers, the public, and scientists is the key to successful ecosystem management; however, the varied perspectives and interests of these groups can make such communication difficult. One way to achieve effective communication is to develop a common knowledge base by combining syntheses of key scientific results with information-rich visual elements.

Read more

The Barnegat Bay–Little Egg Harbor Estuary is classified here as a highly eutrophic estuary based on application of the National Oceanic and Atmospheric Administration’s National Estuarine Eutrophication Assessment model. Because it is shallow, poorly flushed, and bordered by highly developed watershed areas, the estuary is particularly susceptible to the effects of nutrient loading.

Read more

Environmentally distributed ecological networks (EDENs) are growing increasingly important in ecology, coordinating research in more disciplines and over larger areas than ever before, while supplanting post hoc syntheses of uncoordinated research. With the rise of multiple broadly focused, continental-scale EDENs, these networks will be directing an increasingly large proportion of resources in ecology, which warrants a review of their use.

Read more

The proportional cover of forest and grassland vegetation, known as landscape openness, has been particularly difficult to reconstruct because of differences in pollen productivity and transport between the two vegetation types. To begin to calibrate landscape openness in eastern North America, we collected 2 1 samples of surface sediments front small ponds (less than 60 ha) in the Upper Connecticut River Valley of New England, USA.

Read more