The Gulf Research Program, established as an independent, science-driven entity after the Deepwater Horizon disaster in 2010, aims to leverage cutting-edge science to promote environmental safety, offshore energy safety, and improve community resilience throughout the Gulf region. This grant awarded to FAU’s Harbor Branch is a testament to the institute’s scientific excellence and its commitment to bridging the gap between advanced research and real-world applications. The funding will enable researchers to employ sophisticated simulation models and AI-powered forecasting capable of parsing the interplay between oceanographic and atmospheric variables that influence sea-level fluctuations on both global and localized scales.

Central to this project is the integration of powerful Earth system models with localized hydrodynamic models. Specifically, the Community Earth System Model (CESM), known for its high-resolution climate scenario executions, will feed broad climate data into a nested Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM) and Finite-Volume Community Ocean Model (FVCOM) framework. These sophisticated nested models will refine projections to the scale of individual coastal communities, providing granular, data-driven insights on sea-level trajectories that incorporate atmospheric forcing and ocean circulation peculiarities of the Gulf.

One of the distinguishing features of this research lies in incorporating vertical land motion data into sea-level projections. Vertical land motion, which includes subsidence and uplift caused by tectonic shifts, sediment compaction, and anthropogenic activities, dramatically influences local sea level and flood risk. By integrating geodetic and GPS-based land motion datasets, the project aims to generate calibrated, location-specific sea-level forecasts that far surpass the resolution and accuracy of traditional models. This granular forecasting is vital for coastal adaptation strategies which require precise knowledge of relative sea level rather than mere global averages.

The project also represents a significant leap in methodology by fusing physics-based oceanographic and atmospheric models with next-generation machine learning techniques. A novel graph-based probabilistic machine learning framework will be deployed to analyze and synthesize multivariate predictors, such as ocean heat content, dynamic sea-level trends, and atmospheric indices like the North Atlantic Oscillation. This framework can handle ‘deep uncertainty,’ a state where incomplete knowledge about future conditions hampers reliable projections. The system’s ability to probabilistically forecast extreme sea-level events will be invaluable for disaster preparedness and infrastructure resilience planning.

Laurent Chérubin, Ph.D., the principal investigator and a research professor at FAU Harbor Branch, emphasizes the transformative potential of this multidimensional approach. His team is dedicated to advancing not only the scientific understanding of regional sea-level rise but also translating these data-intensive insights into actionable tools for coastal communities. Collaboration with co-investigators and partner institutions is central to this effort, seeking to establish a synergetic relationship between theoretical models, machine learning interpretation, and practical application tailored for diverse Gulf Coast populations.

Confronting sea-level rise in rural and under-resourced areas along the Gulf Coast constitutes a primary focus due to systemic inequities in infrastructure, data availability, and technical expertise. To address these challenges, the project partners with Florida Sea Grant in outreach efforts encompassing four Gulf Coast communities. These initiatives will enhance community-level understanding of sea-level dynamics and facilitate scenario-based decision-making. Deploying advanced water level sensors at the community scale further enriches locally relevant datasets, enabling real-time monitoring and adaptive management.

Moreover, a user-friendly, artificial intelligence-driven platform is under development to democratize access to the project’s forecasting capabilities. Tailored to meet the specific needs of local governments, planners, and non-specialist stakeholders, this platform will synthesize complex modeling outputs into digestible, actionable guidance. The incorporation of AI not only accelerates data processing but fosters continuous learning from new inputs and stakeholder feedback, ensuring the tool’s evolutionary adaptation to emerging challenges and data streams.

James Sullivan, Ph.D., executive director of FAU Harbor Branch, articulates the broader societal impact of this research. He underscores how this project exemplifies the integration of rigorous scientific inquiry with community-centered resilience efforts. By delivering precise, scenario-based sea-level forecasts enhanced by cutting-edge modeling and artificial intelligence, the initiative stands to substantially mitigate the risks of coastal flooding. Beyond safeguarding property and ecosystems, it empowers local populations to make informed, proactive decisions in the face of an uncertain climate future.

The team assembled for this project leverages multidisciplinary expertise, including contributions from co-investigators such as Xingquan “Hill” Zhu, Ph.D., who brings advanced electrical engineering and computer science techniques vital for machine learning model development; Robert Burgman, Ph.D., a social scientist focused on community engagement and adaptive capacity; and Anna Braswell, Ph.D., whose ecological and geomatics expertise aids landscape-level environmental interpretation. This cross-sectoral collaboration enriches the project’s depth and applicability.

The National Academies of Sciences, Engineering, and Medicine, which oversees the Gulf Research Program, plays a pivotal role in ensuring the scientific rigor and policy relevance of this initiative. With a mandate dating back to 1863, the National Academies represent a cornerstone of independent analysis in the U.S., supporting evidence-based decision-making on complex matters at the intersection of science, technology, and society. This affiliation lends additional credibility and resource support, reinforcing the project’s potential for long-lasting, impactful contributions to coastal resilience.

Founded in 1971, the Harbor Branch Oceanographic Institute at Florida Atlantic University embodies a vibrant research community dedicated to oceanographic innovation. Its scientific portfolio spans ocean engineering, marine biotechnology, coastal ecosystem studies, and marine mammal conservation. With this latest grant, Harbor Branch further cements its role at the forefront of addressing emergent environmental crises through scientific creativity and community partnership, reinforcing its mission of “Ocean Science for a Better World.”

Florida Atlantic University itself is recognized nationally and internationally for its research productivity and commitment to social mobility. Serving over 32,000 students across multiple campuses, FAU has earned prestigious Carnegie Foundation designations that reflect its research intensity and community engagement. This project aligns perfectly with FAU’s broader institutional goals, showcasing how academic excellence can directly advance societal resilience and environmental stewardship at regional and global scales.

In summary, this innovative project undertaken by FAU’s Harbor Branch Oceanographic Institute represents a groundbreaking fusion of high-resolution climate simulation, physics-based ocean modeling, and artificial intelligence to combat the escalating challenges of sea-level rise in the Gulf of America. Through sophisticated modeling, community-driven applications, and impactful technology deployment, this initiative stands poised to transform resilience planning and adaptation strategies for vulnerable coastal populations, representing a beacon of scientific innovation with tangible, life-saving consequences.

Subject of Research: Regional sea-level rise dynamics and forecasting in the Gulf of America integrating oceanographic models, vertical land motion, and machine learning.

Article Title: FAU Harbor Branch Oceanographic Institute Secures $900,000 Grant to Advance Sea-Level Rise Forecasting in the Gulf of America

News Publication Date: (Not specified in the provided content)

Web References:

• Florida Atlantic University: https://www.fau.edu/
• Harbor Branch Oceanographic Institute: https://www.fau.edu/hboi/
• Gulf Research Program, National Academies: https://www.nationalacademies.org/units/GULF-GULFEO-15-04

Image Credits: Florida Atlantic University

Keywords

Floods, Sea level, Sea level rise, Climate change, Climate change effects, Climate change mitigation, Natural disasters, Oceanography, Coastal zones, Ocean physics, Ocean temperature, Ocean waves, Ocean circulation, Sensors, Technology

Nitrogen fixation, an essential process where certain marine microorganisms convert inert atmospheric nitrogen into biologically usable forms, supports primary productivity in vast oceanic regions. Historically, hotspots of nitrogen fixation have been hotspots of vibrant plankton communities, which form the base of the marine food web and regulate carbon cycling across the globe. This new study extensively analyzes long-term observational data and advanced oceanographic modeling to reveal a persistent downward trend in plankton biomass within one such nitrogen fixation hotspot. The results suggest that multiple synergistic stressors, including warming sea temperatures, altered nutrient dynamics, and acidification, collectively erode the ecological fabric that sustains nitrogen-fixing microbial communities and the plankton they support.

Decades of observational records were meticulously compiled and synthesized, providing a multi-dimensional perspective on how plankton biomass is shifting over time in this vital region. Through in situ sampling, satellite remote sensing, and biochemical assays, the research team constructed a comprehensive temporal dataset. The findings demonstrate that not only is total planktonic biomass declining, but the species composition and functional traits within these communities are also undergoing substantial change. This points to a destabilization of ecological niches and altered competition dynamics that could have far-reaching consequences for marine food webs and nutrient fluxes.

One of the study’s critical insights relates to the biological and geochemical feedback loops that regulate nitrogen fixation. Planktonic nitrogen fixers, such as certain cyanobacteria, rely on a delicate balance of environmental factors to thrive. The long-term biomass reduction detected disrupts this balance, impairing the nitrogen input that ultimately fuels marine productivity in oligotrophic, or nutrient-poor, waters. The decline in nitrogen fixation thus compounds nutrient stress, creating a feedback cycle that further diminishes plankton biomass and ecosystem resilience.

The team also employed cutting-edge molecular techniques to characterize the genetic and functional diversity of planktonic assemblages over time. Changes at the molecular level hint at shifts in metabolic pathways and nutrient utilization strategies, underlying the observed biomass trends. These alterations could reflect evolutionary responses or selective pressures induced by changing ocean conditions. Such functional perturbations are critical because they alter the ecosystem services provided by plankton, including carbon sequestration and nutrient cycling, with potential implications for global climate regulation.

In addition to biological factors, physical oceanographic changes are undeniably influencing plankton decline in this nitrogen fixation hotspot. Rising sea surface temperatures and altered stratification patterns reduce nutrient upwelling, thereby limiting the availability of key nutrients like phosphorus and iron that are essential for nitrogen-fixing organisms. Ocean acidification impacts cellular physiology and calcification processes, further stressing planktonic communities. By integrating climate model outputs with observational data, the study delineates how anthropogenic climate change compounds these environmental pressures over decadal time scales.

The consequences of this biomass decline extend beyond localized marine habitats. As fundamental components of the ocean’s biological pump, plankton communities regulate carbon export from surface waters to the deep ocean. Decreased biomass and altered community structures could weaken this export, reducing the ocean’s capacity to absorb atmospheric carbon dioxide. This, in turn, may accelerate climate change, creating a feedback loop that exacerbates ocean warming and biogeochemical disruptions.

Furthermore, the study raises concerns about cascading effects on higher trophic levels, including commercially important fish species. Plankton serve as critical food sources for diverse marine organisms. Fluctuations in plankton quantity and quality could therefore propagate through food webs, disrupting fisheries productivity and marine biodiversity. Understanding these complex ecological linkages is crucial for managing marine resources amid rapid environmental change.

This research also highlights the importance of long-term environmental monitoring and multidisciplinary approaches in ocean science. By combining traditional sampling techniques with novel molecular and remote sensing technologies, the team achieved unprecedented resolution in tracking ecological shifts. Such integrative methodologies are essential for disentangling the multifaceted drivers of change and forecasting future trends in marine ecosystems.

Despite the grim findings, the study offers pathways for mitigating the negative impacts on nitrogen fixation hotspots. Adaptive management strategies, global efforts to reduce greenhouse gas emissions, and enhanced protection of vulnerable marine areas can help buffer these ecosystems against ongoing decline. Furthermore, improved understanding of microbial ecology may inform bioengineering and restoration initiatives aimed at bolstering nitrogen fixation and plankton productivity.

The authors emphasize the urgency of expanding research efforts to other nitrogen fixation hotspots worldwide, as the processes documented may be symptomatic of broader oceanic trends. Developing predictive models that incorporate biological feedbacks and external drivers will be essential for proactive ecosystem management in an era of accelerating climate disruption. The study sets a new benchmark in oceanographic science by linking microbial ecology with large-scale biogeochemical dynamics and global environmental change.

In conclusion, the long-term decline of planktonic biomass in a pivotal nitrogen fixation hotspot underscores a critical vulnerability within marine ecosystems that support global ocean health and climate regulation. The work of Fumenia, Loisel, Karl, and their colleagues offers vital insights into the mechanisms driving these changes, revealing intricate biological, chemical, and physical interactions that determine ecosystem resilience. As humanity confronts the dual challenges of climate change and biodiversity loss, studies like this illuminate the urgent need for integrated scientific understanding and international cooperation to safeguard the ocean’s vital functions.

This research marks a milestone in marine science, demonstrating how sustained environmental monitoring coupled with modern analytical techniques can uncover hidden but impactful ecological trends. Maintaining the vitality of plankton populations, especially those linked to nitrogen fixation, remains an essential goal for preserving the productivity and stability of the world’s oceans. Efforts to mitigate anthropogenic impacts and enhance ecosystem resilience will be critical for ensuring the long-term flourishing of these foundational marine communities, upon which global food webs and climate stability ultimately depend.

Subject of Research: Long-term trends in planktonic biomass and nitrogen fixation in marine ecosystems.

Article Title: Long term decline of the planktonic biomass in a hotspot of nitrogen fixation.

Article References:

Fumenia, A., Loisel, H., Karl, D.M. et al. Long term decline of the planktonic biomass in a hotspot of nitrogen fixation.
Nat Commun (2025). https://doi.org/10.1038/s41467-025-66743-3

Image Credits: AI Generated