Government Grants
Business Grants
Home Owner Programs
Federal Programs
About Us
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
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.
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.
Related Programs
Minerals Management Service (MMS) Environmental Studies Program (ESP)
Department of the Interior
Agency: Department of the Interior
Office: Bureau of Ocean Energy Management
Estimated Funding: $628,779
Office: Bureau of Ocean Energy Management
Estimated Funding: $628,779
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
NSF Publication 24-583
Additional Information of Eligibility:
This Program Announcement describes the specific projects that may be awarded to the universities or eligible groups identified.
All awards are premised on receipt of an acceptable proposal.
This is not an open solicitation for proposals.This announcement is specifically to announce intent to undertake the following project(s):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 ZoneOpen to:The Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit (PSAC-CESU)
Full Opportunity Web Address:
http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf24583
Contact:
Agency Email Description:
dominique.bruce-morton@bsee.gov
Agency Email:
Date Posted:
2024-06-18
Application Due Date:
Archive Date:
2024-08-17
Social Entrepreneurship
Spotlight
HootSuite Sees User Growth among Social Enterprises
HootSuite CEO Ryan Holmes says “…social tools are getting more broadly adopted across organizations. It’s not just marketing anymore, it’s sales, public relations, human relations, everywhere.”
Learn How to Identify and Avoid Grant Scams
