{"dp_type": "Project", "free_text": "LIVING ORGANISM-BASED PLATFORMS"}
[{"awards": "2054963 Huckstadt, Luis", "bounds_geometry": "POLYGON((-63 -58,-62 -58,-61 -58,-60 -58,-59 -58,-58 -58,-57 -58,-56 -58,-55 -58,-54 -58,-53 -58,-53 -58.5,-53 -59,-53 -59.5,-53 -60,-53 -60.5,-53 -61,-53 -61.5,-53 -62,-53 -62.5,-53 -63,-54 -63,-55 -63,-56 -63,-57 -63,-58 -63,-59 -63,-60 -63,-61 -63,-62 -63,-63 -63,-63 -62.5,-63 -62,-63 -61.5,-63 -61,-63 -60.5,-63 -60,-63 -59.5,-63 -59,-63 -58.5,-63 -58))", "dataset_titles": "Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "datasets": [{"dataset_uid": "200481", "doi": "10.5281/zenodo.15388787", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "url": ""}], "date_created": "Tue, 13 May 2025 00:00:00 GMT", "description": "Part 1: Non-technical description Many processes that dominate coastal waters in the Southern Ocean are poorly studied due to the occurrence of sea ice and land glaciers/ice sheets that prevent access to study areas. Coastal ice prevents use of traditional moorings and glider-based research approaches that are common tools to evaluate the structure and dynamics of coastal systems in lower latitudes. During the past two decades there has been an explosive increase in the use of Animal-Borne instruments (ABI) on Southern Oceans marine mammals to collect data on aspects such as patterns of habitat usage, migratory routes, foraging and reproductive hot-spots, and impacts of human activities near marine predators. ABI sensors have been collecting data on aspects such as temperature, salinity, light, fluorescence and other aspects that could supplement sparse traditional ocean measurements from ship-based and offshore mooring-based observations. This study will assemble many datasets collected by a diverse community of instrumented marine mammals inhabiting the regions near the Southern Shetlands Islands and Kerguelen Island. ABI data will be quality controlled and evaluated for use to explore oceanographic aspects such as variability in mixed layer depth, fresh (melt) water intrusions, light penetration and surface temperature variability in coastal areas that will supplement other datasets. The project involves international collaborators and will train a graduate student in data analysis. Broader impacts will also be accomplished through the development of learning modules for use in elementary and high-school classrooms. Part II: Technical description: This study will evaluate the potential of 30 years of archival Animal-Borne Instrument (ABI) datasets from a variety of marine predators for oceanographic studies in two regions of the Southern Ocean. Animal tracking data will be quality controlled and processed to obtain location-based measurements of depth, temperature, light, and salinity in near-shore and under ice regions. Nearshore and under ice collected datasets will be analyzed to determine the feasibility of ABI data to explore features such as coastal mixed layer depth, melt water intrusions and light penetration that could supplement more traditional, but further from shore, ocean observing system data. Data from poorly studied hotspot regions where predators feed could be of particular importance. Results will be shared using collaborations among U.S. and international organizations such as Scientific Committee for Antarctic Research (SCAR) and the Southern Ocean Observing Systems (SOOS), among others. Data will be made available using public databases for the benefit of the scientific community. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -53.0, "geometry": "POINT(-58 -60.5)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS \u003e THERMISTORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e TEMPERATURE LOGGERS", "is_usap_dc": true, "keywords": "Movement Data; Light Absorption; Ocean Temperature; ANIMAL ECOLOGY AND BEHAVIOR; South Shetland Islands; CTD Data; LIVING ORGANISM-BASED PLATFORMS; LIVING ORGANISM; OCEAN TEMPERATURE", "locations": "South Shetland Islands", "north": -58.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Huckstadt, Luis", "platforms": "LIVING ORGANISM-BASED PLATFORMS; LIVING ORGANISM-BASED PLATFORMS \u003e LIVING ORGANISM", "repo": "Zenodo", "repositories": "Zenodo", "science_programs": null, "south": -63.0, "title": "EAGER: Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "uid": "p0010508", "west": -63.0}, {"awards": "1745081 Bernard, Kim; 1745018 Fraser, William; 1745023 Hennon, Tyler; 1744884 Oliver, Matthew; 1745009 Kohut, Josh; 1745011 Klinck, John", "bounds_geometry": "POLYGON((-75 -60,-73 -60,-71 -60,-69 -60,-67 -60,-65 -60,-63 -60,-61 -60,-59 -60,-57 -60,-55 -60,-55 -61,-55 -62,-55 -63,-55 -64,-55 -65,-55 -66,-55 -67,-55 -68,-55 -69,-55 -70,-57 -70,-59 -70,-61 -70,-63 -70,-65 -70,-67 -70,-69 -70,-71 -70,-73 -70,-75 -70,-75 -69,-75 -68,-75 -67,-75 -66,-75 -65,-75 -64,-75 -63,-75 -62,-75 -61,-75 -60))", "dataset_titles": "Antarctic ACROBAT data; CTD Data from IFCB Sampling; Finite Time Lyapunov Exponent Results, Calculated from High Frequency Radar Observed Surface Currents; High Frequency Radar, Palmer Deep; IFCB Image Data; Relative Particle Density; SWARM AMLR moorings - acoustic data; SWARM Glider Data near Palmer Deep; WAP model float data; Winds from Joubin and Wauwerman Islands", "datasets": [{"dataset_uid": "200390", "doi": "10.26008/1912/bco-dmo.865030.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "CTD Data from IFCB Sampling", "url": "https://www.bco-dmo.org/dataset/865030"}, {"dataset_uid": "200393", "doi": "10.26008/1912/bco-dmo.865002.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "IFCB Image Data", "url": "https://www.bco-dmo.org/dataset/865002"}, {"dataset_uid": "200394", "doi": "10.26008/1912/bco-dmo.917926.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Relative Particle Density", "url": "https://www.bco-dmo.org/dataset/917926"}, {"dataset_uid": "200389", "doi": "", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Antarctic ACROBAT data", "url": "https://www.bco-dmo.org/dataset/916046"}, {"dataset_uid": "200391", "doi": "10.26008/1912/bco-dmo.917914.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Finite Time Lyapunov Exponent Results, Calculated from High Frequency Radar Observed Surface Currents", "url": "https://www.bco-dmo.org/dataset/917914"}, {"dataset_uid": "200395", "doi": "10.26008/1912/bco-dmo.872729.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "SWARM AMLR moorings - acoustic data", "url": "https://www.bco-dmo.org/dataset/872729"}, {"dataset_uid": "200396", "doi": "10.26008/1912/bco-dmo.867442.2", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "WAP model float data", "url": "https://www.bco-dmo.org/dataset/867442"}, {"dataset_uid": "200397", "doi": "10.26008/1912/bco-dmo.865098.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Winds from Joubin and Wauwerman Islands", "url": "https://www.bco-dmo.org/dataset/865098"}, {"dataset_uid": "200398", "doi": "", "keywords": null, "people": null, "repository": "IOOS Glider DAAC", "science_program": null, "title": "SWARM Glider Data near Palmer Deep", "url": "https://gliders.ioos.us/erddap/search/index.html?page=1\u0026itemsPerPage=1000\u0026searchFor=swarm"}, {"dataset_uid": "200392", "doi": "10.26008/1912/bco-dmo.917884.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "High Frequency Radar, Palmer Deep", "url": "https://www.bco-dmo.org/dataset/917884"}], "date_created": "Tue, 05 Jul 2022 00:00:00 GMT", "description": "Undersea canyons play disproportionately important roles as oceanic biological hotspots and are critical for our understanding of many coastal ecosystems. Canyon-associated biological hotspots have persisted for thousands of years Along the Western Antarctic Peninsula, despite significant climate variability. Observations of currents over Palmer Deep canyon, a representative hotspot along the Western Antarctic Peninsula, indicate that surface phytoplankton blooms enter and exit the local hotspot on scales of ~1-2 days. This time of residence is in conflict with the prevailing idea that canyon associated hotspots are primarily maintained by phytoplankton that are locally grown in association with these features by the upwelling of deep waters rich with nutrients that fuel the phytoplankton growth. Instead, the implication is that horizontal ocean circulation is likely more important to maintaining these biological hotspots than local upwelling through its physical concentrating effects. This project seeks to better resolve the factors that create and maintain focused areas of biological activity at canyons along the Western Antarctic Peninsula and create local foraging areas for marine mammals and birds. The project focus is in the analysis of the ocean transport and concentration mechanisms that sustain these biological hotspots, connecting oceanography to phytoplankton and krill, up through the food web to one of the resident predators, penguins. In addition, the research will engage with teachers from school districts serving underrepresented and underserved students by integrating the instructors and their students completely with the science team. Students will conduct their own research with the same data over the same time as researchers on the project. Revealing the fundamental mechanisms that sustain these known hotspots will significantly advance our understanding of the observed connection between submarine canyons and persistent penguin population hotspots over ecological time, and provide a new model for how Antarctic hotspots function. To understand the physical mechanisms that support persistent hotspots along the Western Antarctic Peninsula (WAP), this project will integrate a modeling and field program that will target the processes responsible for transporting and concentrating phytoplankton and krill biomass to known penguin foraging locations. Within the Palmer Deep canyon, a representative hotspot, the team will deploy a High Frequency Radar (HFR) coastal surface current mapping network, uniquely equipped to identify the eddies and frontal regions that concentrate phytoplankton and krill. The field program, centered on surface features identified by the HFR, will include (i) a coordinated fleet of gliders to survey hydrography, chlorophyll fluorescence, optical backscatter, and active acoustics at the scale of the targeted convergent features; (ii) precise penguin tracking with GPS-linked satellite telemetry and time-depth recorders (TDRs); (iii) and weekly small boat surveys that adaptively target and track convergent features to measure phytoplankton, krill, and hydrography. A high resolution physical model will generalize our field measurements to other known hotspots along the WAP through simulation and determine which physical mechanisms lead to the maintenance of these hotspots. The project will also engage educators, students, and members of the general public in Antarctic research and data analysis with an education program that will advance teaching and learning as well as broadening participation of under-represented groups. This engagement includes professional development workshops, live connections to the public and classrooms, student research symposia, and program evaluation. Together the integrated research and engagement will advance our understanding of the role regional transport pathways and local depth dependent concentrating physical mechanisms play in sustaining these biological hotspots. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -55.0, "geometry": "POINT(-65 -65)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e CONDUCTIVITY SENSORS \u003e CONDUCTIVITY METERS; IN SITU/LABORATORY INSTRUMENTS \u003e RADIATION SENSORS", "is_usap_dc": true, "keywords": "MOORED; WATER TEMPERATURE; CONDUCTIVITY; FLUORESCENCE; UNCREWED VEHICLES; Palmer Station; PHOTOSYNTHETICALLY ACTIVE RADIATION; PELAGIC; OCEAN MIXED LAYER; SURFACE; SALINITY; WATER PRESSURE; LIVING ORGANISM; MODELS; ACOUSTIC SCATTERING", "locations": "Palmer Station", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Ocean and Atmospheric Sciences; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Instrumentation and Support; Antarctic Organisms and Ecosystems; Antarctic Ocean and Atmospheric Sciences; Antarctic Organisms and Ecosystems; Antarctic Integrated System Science", "paleo_time": "NOT APPLICABLE", "persons": "Bernard, Kim; Oliver, Matthew; Kohut, Josh; Fraser, William; Klinck, John M.; Statcewich, Hank", "platforms": "LIVING ORGANISM-BASED PLATFORMS \u003e LIVING ORGANISM; OTHER \u003e MODELS; WATER-BASED PLATFORMS \u003e BUOYS \u003e MOORED; WATER-BASED PLATFORMS \u003e UNCREWED VEHICLES; WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE", "repo": "BCO-DMO", "repositories": "BCO-DMO; IOOS Glider DAAC", "science_programs": null, "south": -70.0, "title": "Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots", "uid": "p0010346", "west": -75.0}]
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Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||||||||||||||||||||
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EAGER: Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments
|
2054963 |
2025-05-13 | Huckstadt, Luis |
|
Part 1: Non-technical description Many processes that dominate coastal waters in the Southern Ocean are poorly studied due to the occurrence of sea ice and land glaciers/ice sheets that prevent access to study areas. Coastal ice prevents use of traditional moorings and glider-based research approaches that are common tools to evaluate the structure and dynamics of coastal systems in lower latitudes. During the past two decades there has been an explosive increase in the use of Animal-Borne instruments (ABI) on Southern Oceans marine mammals to collect data on aspects such as patterns of habitat usage, migratory routes, foraging and reproductive hot-spots, and impacts of human activities near marine predators. ABI sensors have been collecting data on aspects such as temperature, salinity, light, fluorescence and other aspects that could supplement sparse traditional ocean measurements from ship-based and offshore mooring-based observations. This study will assemble many datasets collected by a diverse community of instrumented marine mammals inhabiting the regions near the Southern Shetlands Islands and Kerguelen Island. ABI data will be quality controlled and evaluated for use to explore oceanographic aspects such as variability in mixed layer depth, fresh (melt) water intrusions, light penetration and surface temperature variability in coastal areas that will supplement other datasets. The project involves international collaborators and will train a graduate student in data analysis. Broader impacts will also be accomplished through the development of learning modules for use in elementary and high-school classrooms. Part II: Technical description: This study will evaluate the potential of 30 years of archival Animal-Borne Instrument (ABI) datasets from a variety of marine predators for oceanographic studies in two regions of the Southern Ocean. Animal tracking data will be quality controlled and processed to obtain location-based measurements of depth, temperature, light, and salinity in near-shore and under ice regions. Nearshore and under ice collected datasets will be analyzed to determine the feasibility of ABI data to explore features such as coastal mixed layer depth, melt water intrusions and light penetration that could supplement more traditional, but further from shore, ocean observing system data. Data from poorly studied hotspot regions where predators feed could be of particular importance. Results will be shared using collaborations among U.S. and international organizations such as Scientific Committee for Antarctic Research (SCAR) and the Southern Ocean Observing Systems (SOOS), among others. Data will be made available using public databases for the benefit of the scientific community. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | POLYGON((-63 -58,-62 -58,-61 -58,-60 -58,-59 -58,-58 -58,-57 -58,-56 -58,-55 -58,-54 -58,-53 -58,-53 -58.5,-53 -59,-53 -59.5,-53 -60,-53 -60.5,-53 -61,-53 -61.5,-53 -62,-53 -62.5,-53 -63,-54 -63,-55 -63,-56 -63,-57 -63,-58 -63,-59 -63,-60 -63,-61 -63,-62 -63,-63 -63,-63 -62.5,-63 -62,-63 -61.5,-63 -61,-63 -60.5,-63 -60,-63 -59.5,-63 -59,-63 -58.5,-63 -58)) | POINT(-58 -60.5) | false | false | |||||||||||||||||||||
Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots
|
1745081 1745018 1745023 1744884 1745009 1745011 |
2022-07-05 | Bernard, Kim; Oliver, Matthew; Kohut, Josh; Fraser, William; Klinck, John M.; Statcewich, Hank |
|
Undersea canyons play disproportionately important roles as oceanic biological hotspots and are critical for our understanding of many coastal ecosystems. Canyon-associated biological hotspots have persisted for thousands of years Along the Western Antarctic Peninsula, despite significant climate variability. Observations of currents over Palmer Deep canyon, a representative hotspot along the Western Antarctic Peninsula, indicate that surface phytoplankton blooms enter and exit the local hotspot on scales of ~1-2 days. This time of residence is in conflict with the prevailing idea that canyon associated hotspots are primarily maintained by phytoplankton that are locally grown in association with these features by the upwelling of deep waters rich with nutrients that fuel the phytoplankton growth. Instead, the implication is that horizontal ocean circulation is likely more important to maintaining these biological hotspots than local upwelling through its physical concentrating effects. This project seeks to better resolve the factors that create and maintain focused areas of biological activity at canyons along the Western Antarctic Peninsula and create local foraging areas for marine mammals and birds. The project focus is in the analysis of the ocean transport and concentration mechanisms that sustain these biological hotspots, connecting oceanography to phytoplankton and krill, up through the food web to one of the resident predators, penguins. In addition, the research will engage with teachers from school districts serving underrepresented and underserved students by integrating the instructors and their students completely with the science team. Students will conduct their own research with the same data over the same time as researchers on the project. Revealing the fundamental mechanisms that sustain these known hotspots will significantly advance our understanding of the observed connection between submarine canyons and persistent penguin population hotspots over ecological time, and provide a new model for how Antarctic hotspots function. To understand the physical mechanisms that support persistent hotspots along the Western Antarctic Peninsula (WAP), this project will integrate a modeling and field program that will target the processes responsible for transporting and concentrating phytoplankton and krill biomass to known penguin foraging locations. Within the Palmer Deep canyon, a representative hotspot, the team will deploy a High Frequency Radar (HFR) coastal surface current mapping network, uniquely equipped to identify the eddies and frontal regions that concentrate phytoplankton and krill. The field program, centered on surface features identified by the HFR, will include (i) a coordinated fleet of gliders to survey hydrography, chlorophyll fluorescence, optical backscatter, and active acoustics at the scale of the targeted convergent features; (ii) precise penguin tracking with GPS-linked satellite telemetry and time-depth recorders (TDRs); (iii) and weekly small boat surveys that adaptively target and track convergent features to measure phytoplankton, krill, and hydrography. A high resolution physical model will generalize our field measurements to other known hotspots along the WAP through simulation and determine which physical mechanisms lead to the maintenance of these hotspots. The project will also engage educators, students, and members of the general public in Antarctic research and data analysis with an education program that will advance teaching and learning as well as broadening participation of under-represented groups. This engagement includes professional development workshops, live connections to the public and classrooms, student research symposia, and program evaluation. Together the integrated research and engagement will advance our understanding of the role regional transport pathways and local depth dependent concentrating physical mechanisms play in sustaining these biological hotspots. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | POLYGON((-75 -60,-73 -60,-71 -60,-69 -60,-67 -60,-65 -60,-63 -60,-61 -60,-59 -60,-57 -60,-55 -60,-55 -61,-55 -62,-55 -63,-55 -64,-55 -65,-55 -66,-55 -67,-55 -68,-55 -69,-55 -70,-57 -70,-59 -70,-61 -70,-63 -70,-65 -70,-67 -70,-69 -70,-71 -70,-73 -70,-75 -70,-75 -69,-75 -68,-75 -67,-75 -66,-75 -65,-75 -64,-75 -63,-75 -62,-75 -61,-75 -60)) | POINT(-65 -65) | false | false |