NT-24-X11: Modeling Real-Time Population Density of North Atlantic Right Whales and Database Support for Cetacean, Sea Turtle, and Other Wildlife Observations in the United States North Atlantic Exclusive Economic Zone

Closed Posted

Opportunity number
M24AS00359
Agency
Applications due
Award size
$578,779 to $628,779

Opportunity facts

Funding instrument
Cooperative Agreement
Category
  • Environment
Eligible applicants
  • State Governments
  • Higher Education Inst. (Public)
  • Other

Opportunity details come from Grants.gov. Updated .

About this opportunity

Written by GovTribe AI ·

This federal grant opportunity, titled "NT-24-X11: Modeling Real-Time Population Density of North Atlantic Right Whales and Database Support for Cetacean, Sea Turtle, and Other Wildlife Observations in the United States North Atlantic Exclusive Economic Zone", is being sought by the Department of the Interior's Bureau of Ocean Energy Management (BOEM). The purpose of this study is to develop a near real-time (NRT) modeling system for the endangered North Atlantic right whale (NARW) population and a survey segment database of cetacean and other marine wildlife observations. The objectives are to integrate various survey datasets into a database and develop NRT models that can respond quickly to changes in species space use and phenology. The study will initially serve as a research and development testbed, and after the effectiveness of the density models is established, daily predictions will be made operational and disseminated to the public. The system's capabilities could be expanded to issue short-term forecasts and encompass additional species.

This opportunity is funded through the BOEM Environmental Studies (ES) program, which typically awards cooperative agreements ranging from $200,000 to $3.5 million over 2-5 year periods. The desired places of performance include the Gulf of Maine, mid-Atlantic shelf, and Pacific islands, and the federal agency expects to fund this study jointly with the National Marine Fisheries Service.

Synopsis

2 versions

Update #2 · Latest ·

To aid BOEM's ongoing modeling efforts, this study aims to develop a near real-time (NRT) modeling system for the endangered North Atlantic right whale population and a survey segment database of cetacean and other marine wildlife observations. The modeling system will predict whale density across the eastern seaboard using real-time visual and acoustic observations, coupled with environmental covariates.The study objectives are to integrate various survey datasets, including aerial and ship surveys, into a segment database and develop NRT models that can respond more quickly and flexibly to shifts in species space use and phenology. BOEM and the National Marine Fisheries Service will fund this study jointly.Initially, the system will serve as a research and development testbed, allowing a collaborative team of developers to address statistical challenges and refine software workflow. After the effectiveness of the density models has been established, daily predictions will be made operational and disseminated to the public. The system's capabilities could be expanded to issue short-term forecasts and encompass additional species, contingent on data availability and the development of suitable methods.

Update #1 ·

To aid BOEM's ongoing modeling efforts, this study aims to develop a near real-time (NRT) modeling system for the endangered North Atlantic right whale population and a survey segment database of cetacean and other marine wildlife observations. The modeling system will predict whale density across the eastern seaboard using real-time visual and acoustic observations, coupled with environmental covariates.The study objectives are to integrate various survey datasets, including aerial and ship surveys, into a segment database and develop NRT models that can respond more quickly and flexibly to shifts in species space use and phenology. BOEM and the National Marine Fisheries Service will fund this study jointly.Initially, the system will serve as a research and development testbed, allowing a collaborative team of developers to address statistical challenges and refine software workflow. After the effectiveness of the density models has been established, daily predictions will be made operational and disseminated to the public. The system's capabilities could be expanded to issue short-term forecasts and encompass additional species, contingent on data availability and the development of suitable methods.

Files

File Type Posted
mini_SOW_NARW_realtime_6_17_2024.docx DOCX document

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