IAN is committed to producing practical, user-centered communications that foster a better understanding of science and enable readers to pursue new opportunities in research, education, and environmental problem-solving. Our publications synthesize scientific findings using effective science communication techniques.

2017 Chesapeake Bay Report Card (Page 1)

2017 Chesapeake Bay Report Card

Dylan Taillie, Alexandra Fries, Jamie Currie, Bill Dennison, Heath Kelsey, Jason Howard, Emily Nastase ·
15 June 2018

In past report card years, specific regions throughout Chesapeake Bay have shown improving trends, but this is the first year that the overall Chesapeake Bay is showing significant improvement. Overall Chesapeake Bay Health Scores have been variable in the past. However, since 2015, Chesapeake Bay Health Scores have consistently been in the high C range (53, 54, 54). These consecutive high scores have contributed to an overall positive trajectory for the first time.

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How to develop and report on performance measures in the Great Lakes (Page 1)

How to develop and report on performance measures in the Great Lakes

Emily Nastase, Heath Kelsey, Jason Howard ·
14 June 2018

Ecosystem health report cards are being considered by the Ontario Minister of the Environment and Climate Change to evaluate performance measures for, and Ontario's contributions within, the Great Lakes basin community. IAN travelled to Toronto to lead an ecosystem health report card training workshop May 16–17, 2018. This newsletter summarizes the results of that training workshop.

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Towards a framework to support coastal change governance in small islands (Page 1)

Towards a framework to support coastal change governance in small islands

Glaser M, Breckwoldt A, Carruthers T, Forbes DL, Costanzo S, Kelsey RH, Ramachandran R, and Stead S ·
2018

Small islands can guide visualization of the diverse information requirements of future context-relevant coastal governance. On small marine islands (<20 000 km2), negative effects of coastal challenges (e.g., related to population growth, unsustainable resource use or climate change) can develop rapidly, with high intensity and extreme impacts.

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The Sudbury, Assabet, and Concord Rivers: Developing a Report Card (Page 1)

The Sudbury, Assabet, and Concord Rivers: Developing a Report Card

Brianne Walsh, Bill Dennison ·
29 May 2018

In 2018, the Integration and Application Network partnered with OARS to initiate a river report card for the Sudbury, Assabet, and Concord Rivers. This newsletter highlights two stakeholder workshops held at Great Meadows National Wildlife Refuge on February 28 and March 1, 2018. The initial workshop elicited what stakeholders value about the rivers, and subsequent workshop focused on how to measure those values, and where to find data.

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Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data

Zhang Q, Murphy RR, Tian R, Forsyth MK, Trentacoste EM, Keisman J, and Tango PJ ·
2018

To protect the aquatic living resources of Chesapeake Bay, the Chesapeake Bay Program partnership has developed guidance for state water quality standards, which include ambient water quality criteria to protect designated uses (DUs), and associated assessment procedures for dissolved oxygen (DO), water clarity/underwater bay grasses, and chlorophyll-a. For measuring progress toward meeting the respective states' water quality standards…

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Nutrient- and Climate-Induced Shifts in the Phenology of Linked Biogeochemical Cycles in a Temperate Estuary (Page 1)

Nutrient- and Climate-Induced Shifts in the Phenology of Linked Biogeochemical Cycles in a Temperate Estuary

Testa JM, Murphy RR, Brady DC and Kemp WM ·
2018

The response of estuarine ecosystems to long-term changes in external forcing is strongly mediated by interactions between the biogeochemical cycling of carbon, oxygen, and inorganic nutrients. Although long-term changes in estuaries are often assessed at the annual scale, phytoplankton biomass, dissolved oxygen concentrations, and biogeochemical rate processes have strong seasonal cycles at temperate latitudes.

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Fort Monroe National Historical Park Natural Resource Condition Assessment (Page 1)

Fort Monroe National Historical Park Natural Resource Condition Assessment

Lookingbill T, Engelhardt K, Geraghty C, Hatchel N, Kitchen D ·
15 March 2018

Fort Monroe National Monument is located at the tip of the Virginia Peninsula in Hampton, Virginia. The site includes the largest stone fort built in the United States and was formally added to the National Park System in 2011, recognizing millennia of human interactions with this landscape. Natural resources within the 325-acre park boundary include an ecologically diverse and productive saltmarsh cordgrass wetlands within Mill Creek.

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Synthesis of nutrient and sediment export patterns in the Chesapeake Bay watershed: Complex and non-stationary concentration-discharge relationships (Page 1)

Synthesis of nutrient and sediment export patterns in the Chesapeake Bay watershed: Complex and non-stationary concentration-discharge relationships

Zhang Q ·
2018

Derived from river monitoring data, concentration-discharge (C-Q) relationships are useful indicators of riverine export dynamics. A top-down synthesis of C-Q patterns was conducted for suspended sediment (SS), total phos- phorus (TP), and total nitrogen (TN) for nine major tributaries (15 monitoring sites) to Chesapeake Bay, which represent diverse characteristics in terms of land use, physiography, and hydrological settings.

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Evaluation of statistical methods for quantifying fractal scaling in water-quality time series with irregular sampling (Page 1)

Evaluation of statistical methods for quantifying fractal scaling in water-quality time series with irregular sampling

Zhang Q, Harman CJ, and Kirchner JW ·
2018

River water-quality time series often exhibit fractal scaling, which here refers to autocorrelation that decays as a power law over some range of scales. Fractal scaling presents challenges to the identification of deterministic trends because (1) fractal scaling has the potential to lead to false inference about the statistical significance of trends and (2) the abundance of irregularly spaced data in water-quality monitoring networks complicates efforts to quantify fractal scaling.

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