USGS - science for a changing world
Decision support for ecological recovery and resilience

Project Goal(s) Expand the ecological modeling, data visualization and data dissemination capcity developed under JEM to the Sandy impacted area.

Data source: Input directly
Catalog Item:
  Created on Wed Sep 04 16:58:11 MDT 2013
  Last Updated on Tue Sep 17 09:31:07 MDT 2013



The Joint Ecosystem Modeling (JEM) community of the Florida Everglades has a proven track record of collaborating with scientists and resource managers from Federal and State agencies, universities, and other nongovernment organizations to identify needs and develop tools in support of decision making for a sustainable ecosystem. We propose extending this approach to aid scientific research and resource management in the Hurricane Sandy impact areas. We will use the first year to: cultivate a network of science partners in the region through regular meetings and partner communication, including members of the U.S. Geological Survey (USGS), the U.S. Fish and Wildlife Service (USFWS), the National Park Service (NPS), and the North Atlantic Landscape Conservation Cooperative (LCC); identify and gather relevant ecological data; compile an inventory of existing ecological models, data standards, visualization and analysis tools, and decision support tools; and assess needs within the resource management community. In the second year, this project will address those needs through science partnerships and collaborations to refine existing models and tools, as well as develop new ones where applicable, to connect resource managers with the data necessary to better inform their ecosystem restoration and management decisions.

Geographic Location(s)
DOI Lands in and around Chesapeake Bay and along the North Carolina Coast
Timeline and milestones
Starting in October of 2013 for two years
  • December 2013:  Initial meetings with DOI partners
  • February 2014:  Key data catalogue and acquisition
  • May 2014:  Identify key modeling subject matter experts and modeling tools
  • May 2014:  Data standardization and visualization of Sandy soil model outputs
  • July 2014:  Preliminary web data viewer infrastructure established
  • Oct 2014:  Begin leveraging oyster modeling opportunities along coast
  • Oct 2014:  Population of web data viewer
Federal Staff $41,375
Contract Staff $182,700
Travel $16,000
Equipment $6,000
Publishing $4,000
Sub-Total $250,075
Overhead $50,015
Total $300,090

Based on the feedback and guidance provided by DOI partners, we will collaborate with subject matter experts to update existing and/or develop new ecological modeling applications which will help to inform resource decisions in the region. Data transformation applications will undoubtedly need to be developed to integrate various modeling outputs into a common format for sharing and visualization. It is possible that normalization strategies developed by JEM can be reused. The EverVIEW Data Viewer platform will be used to modify existing or develop a new extension that makes analysis and visualization of the integrated modeling output easier and more efficient. Beyond those efforts guided by DOI partners from the impact region, we will be strategically partnering with other USGS scientists working within the Sandy impact area to provide data manipulation and visualization capabilities.
Products, Year 1:
1. Compilation of existing models and modeling tools of interest to our DOI partners, focusing on ecological models and decision support tools that could be used for recovery and resilience planning in the project focal area. Details compiled for each model and tool will include:
●          required input data,
●          description of generated output data,
●          specifications of program logic, and
●          restrictions and limitations.

2. Describe data transformation needs for each available model.
3. Evaluate the current state of modeling data standards and conventions.
4. Develop timeline for integration of modeling output into EverVIEW data viewer.
5. Determine ecological modeling, visualization, and decision support needs.

Start Date: 2013-10
End Date: 2015

Additional Information

USGS Hurricane Sandy Science Team

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