Wetland and Aquatic Research Center

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WARC conducts relevant and objective research, develops new approaches and technologies, and disseminates scientific information needed to understand, manage, conserve, and restore wetlands and other aquatic and coastal ecosystems and their associated plant and animal communities throughout the nation and the world. Learn more about WARC science.

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Science for Detection, Containment, and Control of Invasive Species

Science for Detection, Containment, and Control of Invasive Species

USGS scientists focus on the development of innovative prevention, prediction, early detection, containment, and control tools. 

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News

Date published: October 30, 2019

WaterWords-Aragonite

Keep up to speed with the latest USGS deep-sea research cruise with this seafloor syntax.

Date published: October 16, 2019

WaterWords-Autonomous Underwater Vehicle

Keep up to speed with the latest USGS deep-sea research cruise with this seafloor syntax.

Date published: October 16, 2019

WaterWords-Remotely Operated Vehicle

Keep up to speed with the latest USGS deep-sea research cruise with this seafloor syntax.

Publications

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Year Published: 2020

Hurricane sedimentation in a subtropical salt marsh-mangrove community is unaffected by vegetation type

Hurricanes periodically deliver sediment to coastal wetlands, such as those in the Mississippi River Delta Complex (MRDC), slowing elevation loss and improving resilience to sea-level rise. However, the amount of hurricane sediment deposited and retained in a wetland may vary depending on the dominant vegetation. In the subtropical climate of the...

McKee, Karen L.; Mendelssohn, Irving A.; Hester, Mark W.

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Year Published: 2020

An overview of agent-based models in plant biology and ecology

Agent-based modeling (ABM) has become an established methodology in many areas of biology, ranging from the cellular to the ecological population and community levels. In plant science, two different scales have predominated in their use of ABM. One is the scale of populations and communities, through the modeling of collections of agents...

Zhang, Bo; DeAngelis, Donald L.

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Year Published: 2020

A 'weight of evidence' approach to evaluating structural equation models

It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model...

Grace, James