During systematic repeat hydrography cruises to the Endeavour segment of the Juan de Fuca Ridge in the summers of 2004, 2005, and 2006, we encountered a transient increase in the water column heat content above the Salty Dawg hydrothermal field. First observed in July 2005 and mapped in greater detail in August 2005, this feature was not a typical event or megaplume since potential temperature anomalies were continuously elevated from the plume top to the seafloor.

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Chesapeake Bay supports a diverse assemblage of marine and freshwater species of submersed aquatic vegetation (SAV) whose broad distributions are generally constrained by salinity. An annual aerial SAV monitoring program and a bi-monthly to monthly water quality monitoring program have been conducted throughout Chesapeake Bay since 1984. We performed an analysis of SAV abundance and up to 22 environmental variables potentially influencing SAV growth and abundance (1984-2006).

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Chapter 4 discussed how selecting an appropriate communication product can affect an audience and persuade opinions. This chapter discusses how using another tool, an indicator (Figure 5.1), not only can persuade opinions, but also can be used to evaluate the health of an ecosystem.

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For many studies of urbanization, particularly those covering broad spatial extents and thus requiring the perspective afforded by satellite remote sensing, the longest time series of impervious surface area (ISA) initiate with the availability of Landsat Thematic Mapper (TM) data in the mid 1980s.

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This chapter continues the discussion of ecological indicators but with the specific application of producing ecological report cards. It explains the reasons for producing report cards, the steps to produce indicators based on ecological thresholds, and the process of combining indicators into overarching indices. Ecological report cards, like the indicators that they are based on, are one of the most important products for directing data collection and analysis.

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Owing to the complex interactions among climate, plants, cattle grazing, and land management practices, the impacts of climate change on cattle have been hard to predict. Predicting future grassland ecosystem functioning relies on understanding how changes in climate alter the quantity of forage produced, but also forage quality.

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This chapter provides an overview of the process of developing, producing, and releasing an ecological forecast, which is supported by statistical analysis and models that underpin forecasts (see Chapters 8 and 9). Areas discussed in this chapter include why you may consider conducting ecological forecasting, some of the essential elements of a forecasting program, and some of the challenges you may face.

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We analyzed trends in a 23-year period of water quality and biotic data for Chesapeake Bay. Indicators were used to detect trends of improving and worsening environmental health in 15 regions and 70 segments of the bay and to assess the estuarine ecosystem's responses to reduced nutrient loading from point (i.e., sewage treatment facilities) and nonpoint (e.g., agricultural and urban land use) sources.

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Currently, many states use precipitation information to regulate periodic closures of shellfish harvest areas based on a presumptive relationship between rainfall and bacteria concentration. We evaluate this relationship in four South Carolina estuaries and suggest new predictive models that integrate remote sensing precipitation data with additional environmental and climatic data.

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One of the most important goals of a coastal assessment program is to increase the knowledge of individuals and agencies who make management decisions. Information must be presented in an easy-to-understand format and supported by quantitative analyses. Quantitative analyses often involve applying statistical techniques that are used to visualize, describe, and model data.

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