USAP-DC

{"dp_type": "Project", "free_text": "SPECIES/POPULATION INTERACTIONS"}

[{"awards": "2224760 Gooseff, Michael", "bounds_geometry": "POINT(162.87 -77)", "dataset_titles": "EDI Data Portal: McMurdo Dry Valleys LTER", "datasets": [{"dataset_uid": "200379", "doi": "", "keywords": null, "people": null, "repository": "Environmental Data Initiative (EDI)", "science_program": null, "title": "EDI Data Portal: McMurdo Dry Valleys LTER", "url": "https://portal.edirepository.org/nis/browseServlet?searchValue=MCM"}], "date_created": "Tue, 14 Nov 2023 00:00:00 GMT", "description": "Non-technical Abstract The McMurdo Dry Valleys LTER seeks to understand how changes in the temporal variability of ecological connectivity interact with existing landscape legacies to alter the structure and functioning of this extreme polar desert ecosystem. This research has broad implications, as it will help us to understand how natural ecosystems respond to ongoing anthropogenic global change. At the same time, this project also serves an important educational and outreach function, providing immersive research and educational experiences to students and artists from diverse backgrounds, and helping to ensure a diverse and well-trained next generation of leaders in polar ecosystem science and stewardship. Ultimately, the results of this project will help us to better understand and prepare for the effects of climate change and develop scientific insights that are relevant far beyond Antarctic ecosystems. The McMurdo Dry Valleys (MDVs) make up an extreme polar desert ecosystem in the largest ice-free region of Antarctica. The organisms in this ecosystem are generally small. Bacteria, microinvertebrates, cyanobacterial mats, and phytoplankton can be found across the streams, soils, glaciers, and ice-covered lakes. These organisms have adapted to the cold and arid conditions that prevail outside of lakes for all but a brief period in the austral summer when the ecosystem is connected by liquid water. In the summer when air temperatures rise barely above freezing, soils warm and glacial meltwater flows through streams into the open moats of lakes. Most biological activity across the landscape occurs in summer. Through the winter, or polar night (6 months of darkness), glaciers, streams, and soil biota are inactive until sufficient light, heat, and liquid water return, while lake communities remain active all year. Over the past 30 years, the MDVs have been disturbed by cooling, heatwaves, floods, rising lake levels, as well as permafrost and lake ice thaw. Considering the clear ecological responses to this variation in physical drivers, and climate models predicting further warming and more precipitation, the MDV ecosystem sits at a threshold between the current extreme cold and dry conditions and an uncertain future. This project seeks to determine how important the legacy of past events and conditions versus current physical and biological interactions shape the current ecosystem. Four hypotheses will be tested, related to 1) whether the status of specific organisms are indicative ecosystem stability, 2) the relationship between legacies of past events to current ecosystem resilience (resistance to big changes), 3) carryover of materials between times of high ecosystem connectivity and activity help to maintain ecosystem stability, and 4) changes in disturbances affect how this ecosystem persists through the annual polar night (i.e., extended period of dark and cold). Technical Abstract In this iteration of the McMurdo LTER project (MCM6), the project team will test ecological connectivity and stability theory in a system subject to strong physical drivers (geological legacies, extreme seasonality, and contemporary climate change) and driven by microbial organisms. Since microorganisms regulate most of the world\u2019s critical biogeochemical functions, these insights will be relevant far beyond polar ecosystems and will inform understanding and expectations of how natural and managed ecosystems respond to ongoing anthropogenic global change. MCM6 builds on previous foundational research, both in Antarctica and within the LTER network, to consider the temporal aspects of connectivity and how it relates to ecosystem stability. The project will examine how changes in the temporal variability of ecological connectivity interact with the legacies of the existing landscape that have defined habitats and biogeochemical cycling for millennia. The project team hypothesizes that the structure and functioning of the MDV ecosystem is dependent upon legacies and the contemporary frequency, duration, and magnitude of ecological connectivity. This hypothesis will be tested with new and continuing monitoring, experiments, and analyses of long-term datasets to examine: 1) the stability of these ecosystems as reflected by sentinel taxa, 2) the relationship between ecological legacies and ecosystem resilience, 3) the importance of material carryover during periods of low connectivity to maintaining biological activity and community stability, and 4) how changes in disturbance dynamics disrupt ecological cycles through the polar night. Tests of these hypotheses will occur in field and modeling activities using new and long-term datasets already collected. New datasets resulting from field activities will be made freely available via widely-known online databases (MCM LTER and EDI). The project team has also developed six Antarctic Core Ideas that encompass themes from data literacy to polar food webs and form a consistent thread across the education and outreach activities. Building on past success, collaborations will be established with teachers and artists embedded within the science teams, who will work to develop educational modules with science content informed by direct experience and artistic expression. Undergraduate mentoring efforts will incorporate computational methods through a new data-intensive scientific training program for MCM REU students. The project will also establish an Antarctic Research Experience for Community College Students at CU Boulder, to provide an immersive educational and research experience for students from diverse backgrounds in community colleges. MCM LTER will continue its mission of training and mentoring students, postdocs, and early career scientists as the next generation of leaders in polar ecosystem science and stewardship. Historically underrepresented participation will be expanded at each level of the project. To aid in these efforts, the project has established Education \u0026 Outreach and Diversity, Equity, and Inclusion committees to lead, coordinate, support, and integrate these activities through all aspects of MCM6. 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": 162.87, "geometry": "POINT(162.87 -77)", "instruments": null, "is_usap_dc": true, "keywords": "COMMUNITY DYNAMICS; ABLATION ZONES/ACCUMULATION ZONES; SOIL TEMPERATURE; DIATOMS; FIELD INVESTIGATION; PERMANENT LAND SITES; BUOYS; GROUND-BASED OBSERVATIONS; SEDIMENTS; SNOW WATER EQUIVALENT; SPECIES/POPULATION INTERACTIONS; WATER-BASED PLATFORMS; FIXED OBSERVATION STATIONS; VIRUSES; PHYTOPLANKTON; ACTIVE LAYER; FIELD SURVEYS; RADIO TRANSMITTERS; DATA COLLECTIONS; ECOLOGICAL DYNAMICS; LANDSCAPE; GROUND WATER; SNOW/ICE CHEMISTRY; LAND-BASED PLATFORMS; ANIMALS/INVERTEBRATES; ECOSYSTEM FUNCTIONS; HUMIDITY; GEOCHEMISTRY; SURFACE WINDS; RIVERS/STREAM; GLACIER MASS BALANCE/ICE SHEET MASS BALANCE; SNOW; LAND RECORDS; ATMOSPHERIC PRESSURE; SURFACE TEMPERATURE; ATMOSPHERIC RADIATION; BACTERIA/ARCHAEA; AIR TEMPERATURE; GLACIERS; SNOW/ICE TEMPERATURE; SOIL CHEMISTRY; METEOROLOGICAL STATIONS; WATER QUALITY/WATER CHEMISTRY; TERRESTRIAL ECOSYSTEMS; MOORED; PROTISTS; STREAMFLOW STATION; Dry Valleys; LAKE/POND; LAKE ICE; SNOW DEPTH; AQUATIC ECOSYSTEMS; SNOW DENSITY; FIELD SITES", "locations": "Dry Valleys", "north": -77.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Integrated System Science", "paleo_time": null, "persons": "Gooseff, Michael N.; Adams, Byron; Barrett, John; Diaz, Melisa A.; Doran, Peter; Dugan, Hilary A.; Mackey, Tyler; Morgan-Kiss, Rachael; Salvatore, Mark; Takacs-Vesbach, Cristina; Zeglin, Lydia H.", "platforms": "LAND-BASED PLATFORMS; LAND-BASED PLATFORMS \u003e FIELD SITES; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e DATA COLLECTIONS; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e RADIO TRANSMITTERS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e FIXED OBSERVATION STATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e GROUND-BASED OBSERVATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e METEOROLOGICAL STATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e STREAMFLOW STATION; WATER-BASED PLATFORMS; WATER-BASED PLATFORMS \u003e BUOYS; WATER-BASED PLATFORMS \u003e BUOYS \u003e MOORED; WATER-BASED PLATFORMS \u003e BUOYS \u003e MOORED \u003e BUOYS", "repo": "Environmental Data Initiative (EDI)", "repositories": "Environmental Data Initiative (EDI)", "science_programs": "LTER", "south": -77.0, "title": "LTER: MCM6 - The Roles of Legacy and Ecological Connectivity in a Polar Desert Ecosystem", "uid": "p0010440", "west": 162.87}, {"awards": "2203176 Cimino, Megan; 2203177 Steinberg, Deborah", "bounds_geometry": "POLYGON((-80 -60,-77 -60,-74 -60,-71 -60,-68 -60,-65 -60,-62 -60,-59 -60,-56 -60,-53 -60,-50 -60,-50 -61,-50 -62,-50 -63,-50 -64,-50 -65,-50 -66,-50 -67,-50 -68,-50 -69,-50 -70,-53 -70,-56 -70,-59 -70,-62 -70,-65 -70,-68 -70,-71 -70,-74 -70,-77 -70,-80 -70,-80 -69,-80 -68,-80 -67,-80 -66,-80 -65,-80 -64,-80 -63,-80 -62,-80 -61,-80 -60))", "dataset_titles": null, "datasets": null, "date_created": "Thu, 10 Aug 2023 00:00:00 GMT", "description": "This project is co-funded by a collaboration between the Directorate for Geosciences and Office of Advanced Cyberinfrastructure to support Artificial Intelligence/Machine Learning and open science activities in the geosciences. Machine learning model will be used in this project to predict the distributions of five zooplankton species in the western Antarctic Peninsula (wAP) based on oceanographic properties. The project will take advantage of a long-term series collected by the Palmer Long-Term Ecological Research (LTER) program that collects annual data on physics, chemistry, phytoplankton (or food), zooplankton and predators (seabirds, whales and seals). By analyzing this dataset and combining it with other data collected by national and international programs, this project will provide understanding and prediction of zooplankton distribution and abundance in the wAP. The machine learning models will be based on environmental properties extracted from remote sensing images thus providing ecosystem knowledge as it decreases human footprint in Antarctica. The relationship between species distribution and habitat are key for distinguishing natural variability from climate impacts on zooplankton and their predators. This research benefits NSF mission by expanding fundamental knowledge of Antarctic systems, biota, and processes as well as aligning with data and sample reuse strategies in Polar Research. The project will benefit society by supporting two female early-career scientists, a post-doctoral fellow and a graduate student. Polar literacy will be promoted through an existing partnership with Out Of School activities that target Science, Technology, Engineering and Mathematics (STEM) education, expected to reach 120,000 students from under-represented minorities in STEM annually. The project will also contribute to evaluate the ecosystem in the proposed Marine Protected Area in the wAP, subject to krill fishery. Results will be made available publicly through an interactive web application. The Principal Investigators propose to address three main questions: 1) Can geomorphic features, winter preconditioning and summer ocean conditions be used to predict the austral summer distribution of zooplankton species along the wAP? 2) What are the spatial and temporal patterns in modeled zooplankton species distribution along the wAP? And 3) What are the patterns of overlap in zooplankton and predator species? The model will generate functional relationships between zooplankton distribution and environmental variables and provide Zooplankton Distribution Models (ZDMs) along the Antarctic Peninsula. The Palmer LTER database will be combined with the NOAA AMLR data for the northern wAP, and KRILLBASE, made public by the British Antarctic Survey\u2019s Polar Data Center. This project will generate 1) annual environmental spatial layers on the Palmer LTER resolution grid within the study region, 2) annual species-specific standardized zooplankton net data from different surveys, 3) annual species-specific predator sightings on a standardized grid, and 4) ecological model output. Ecological model output will include annual predictions of zooplankton species distributions, consisting of 3-dimensional fields (x,y,t) for the 5 main zooplankton groups, including Antarctic krill, salps and pteropods. Predictions will be derived from merging in situ survey data with environmental data, collected in situ or by remote sensing. 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": -50.0, "geometry": "POINT(-65 -65)", "instruments": null, "is_usap_dc": true, "keywords": "ANIMAL ECOLOGY AND BEHAVIOR; PELAGIC; BIRDS; SPECIES/POPULATION INTERACTIONS; ANIMALS/INVERTEBRATES; Antarctic Peninsula", "locations": "Antarctic Peninsula", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Cimino, Megan; Steinberg, Deborah", "platforms": null, "repositories": null, "science_programs": null, "south": -70.0, "title": "Collaborative Research: Harvesting Long-term Survey Data to Develop Zooplankton Distribution Models for the Antarctic Peninsula", "uid": "p0010429", "west": -80.0}, {"awards": "2011454 Veit, Richard; 2011285 Santora, Jarrod", "bounds_geometry": "POLYGON((-39 -53,-38.6 -53,-38.2 -53,-37.8 -53,-37.4 -53,-37 -53,-36.6 -53,-36.2 -53,-35.8 -53,-35.4 -53,-35 -53,-35 -53.2,-35 -53.4,-35 -53.6,-35 -53.8,-35 -54,-35 -54.2,-35 -54.4,-35 -54.6,-35 -54.8,-35 -55,-35.4 -55,-35.8 -55,-36.2 -55,-36.6 -55,-37 -55,-37.4 -55,-37.8 -55,-38.2 -55,-38.6 -55,-39 -55,-39 -54.8,-39 -54.6,-39 -54.4,-39 -54.2,-39 -54,-39 -53.8,-39 -53.6,-39 -53.4,-39 -53.2,-39 -53))", "dataset_titles": "Bird, Mammal, Plankton, Oceanographic data, South Georgia, July 2023; Winter marine communities of the Antarctic Peninsula", "datasets": [{"dataset_uid": "601795", "doi": "10.15784/601795", "keywords": "Antarctica; Antarctic Krill; Antarctic Peninsula; Cryosphere; Pack Ice; Polynya; Seabirds; Sea Ice; Winter; Zooplankton", "people": "Reiss, Christian; Dietrich, Kim; Santora, Jarrod; Czapanskiy, Max", "repository": "USAP-DC", "science_program": null, "title": "Winter marine communities of the Antarctic Peninsula", "url": "https://www.usap-dc.org/view/dataset/601795"}, {"dataset_uid": "601890", "doi": "10.15784/601890", "keywords": "Abundance; Antarctica; Antarctic Winter; Birds; Cryosphere; CTD; Mammals; Plankton; South Georgia Island", "people": "Czapanskiy, Max; Veit, Richard; Santora, Jarrod; Manne, Lisa", "repository": "USAP-DC", "science_program": null, "title": "Bird, Mammal, Plankton, Oceanographic data, South Georgia, July 2023", "url": "https://www.usap-dc.org/view/dataset/601890"}], "date_created": "Thu, 06 Oct 2022 00:00:00 GMT", "description": "Part I: Non-technical description: Ocean warming in the western Antarctic Peninsula and Scotia Sea in winter is among the highest worldwide. This project will quantify the impact of the climate warming on seabirds. The study area is in South Georgia in the South Atlantic with the largest and most diverse seabird colonies in the world. Detecting and understanding how physics and biology interact to bring positive or negative population changes to seabirds has long challenged scientists. The team in this project hypothesizes that 1) Cold water seabird species decline while warm water species increase due to ocean warming observed in the last 30 years; 2) All species decrease with ocean warming, affecting how they interact with each other and in doing so, decreasing their chances of survival; and 3) Species profiles can be predicted using multiple environmental variables and models. To collect present-day data to compare with observations done in 1985, 1991 and 1993, 2 cruises are planned in the austral winter; the personnel will include the three Principal Investigators, all experienced with sampling of seabirds, plankton and oceanography, with 2 graduate and 5 undergraduate students. Models will be developed based on the cruise data and the environmental change experienced in the last 30 years. The research will improve our understanding of seabird and marine mammal winter ecology, and how they interact with the environment. This project benefits NSF\u0027s goals to expand the fundamental knowledge of Antarctic systems, biota, and processes. The project will provide an exceptional opportunity to teach polar field skills to undergraduates by bringing 5 students to engage in the research cruises. To further increase polar literacy training and educational impacts, broader impacts include the production of an educational documentary that will be coupled to field surveys to assess public perceptions about climate change. Part II: Technical description: Ocean warming in the western Antarctic Peninsula and Scotia Sea in winter is among the highest worldwide. Based on previous work, the Principal Investigators in this project want to test the hypothesis that warming would have decreased seabird abundance and species associations in the South Georgia region of the South Atlantic. A main premise of this proposal is that because of marine environmental change, the structure of the seabird communities has also changed, and potentially in a manner that has diminished the mutually beneficial dynamics of positive interactions, with subsequent consequences to fitness and population trends. The study is structured by 3 main objectives: 1) identify changes in krill, bird and mammal abundance that have occurred from previous sampling off both ends of South Georgia during winter in 1985, 1991 and 1993, 2) identify pairings of species that benefit each other in searching for prey, and quantify how such relationships have changed since 1985, and 3) make predictions about how these changes in species pairing might continue given predicted future changes in climate. The novelty of the approach is the conceptual model that inter-species associations inform birds of food availability and that the associations decrease if bird abundance decreases, thus warming could decrease overall population fitness. These studies will be essential to establish if behavioral patterns in seabird modulate their response to climate change. The project will provide exceptional educational opportunity to undergraduates by bringing 5 students to participate on the cruises. To further increase polar literacy training and educational impacts, broader impacts include the production of an educational documentary that will be coupled to field surveys to assess public perceptions about climate change. 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": -35.0, "geometry": "POINT(-37 -54)", "instruments": null, "is_usap_dc": true, "keywords": "Local Enhancement; South Georgia Island; Mutualism; Climate Change; Positive Interactions; Seabirds; COMMUNITY DYNAMICS; SPECIES/POPULATION INTERACTIONS; R/V NBP", "locations": "South Georgia Island", "north": -53.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Veit, Richard; Manne, Lisa; Santora, Jarrod", "platforms": "WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V NBP", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -55.0, "title": "Collaborative Research: Climate, Changing Abundance and Species Interactions of Marine Birds and Mammals at South Georgia in Winter", "uid": "p0010382", "west": -39.0}, {"awards": "2146068 Kienle, Sarah", "bounds_geometry": null, "dataset_titles": null, "datasets": null, "date_created": "Mon, 12 Sep 2022 00:00:00 GMT", "description": "The leopard seal (Hydrurga leptonyx) is an enigmatic apex predator in the rapidly changing Southern Ocean. As top predators, leopard seals play a disproportionately large role in ecosystem functioning and act as sentinel species that can track habitat changes. How leopard seals respond to a warming environment depends on their adaptive capacity, that is a species\u2019 ability to cope with environmental change. However, leopard seals are one of the least studied apex predators on Earth, hindering our ability to predict how the species is responding to polar environmental changes. Investigating the adaptability of Antarctic biota in a changing system aligns with NSF\u2019s Strategic Vision for Investments in Antarctic and Southern Ocean Research. This research, which is tightly integrated with educational and outreach activities, will increase diversity in STEM and Antarctic science by recruiting students from historically underrepresented groups in STEM and providing training, mentoring, and educational opportunities at an emerging Hispanic Serving Institution and a Historically Black Colleges and Universities campus. This project will improve STEM education and science literacy via museum collaborations, creation of informational videos and original artwork depicting the research. The proposal supports data and sample reuse in polar research and long-term reuse of scientific data, thereby maximizing NSF\u2019s investment in previous field research and reducing operational costs. The researchers will investigate leopard seals adaptive capacity to the warming Southern Ocean by quantifying their ability to move (dispersal ability), adapt (genetic diversity), and change (plasticity). Aim 1 of the research will determine leopard seals\u2019 dispersal ability by assessing their distribution and movement patterns. Aim 2 will quantify genetic diversity by analyzing genetic variability and population structure and Aim 3 will examine phenotypic plasticity by evaluating changes in their ecological niche and physiological responses. The international, multidisciplinary team will analyze existing data (e.g., photographs, census data, life history data, tissue samples, body morphometrics) collected from leopard seals across the Southern Ocean over the last decade. Additionally, land- and ship-based field efforts will generate comparable data from unsampled regions in the Southern Ocean. The research project will analyze these historical and contemporary datasets to evaluate the adaptive capacity of leopard seals against the rapidly warming Southern Ocean. This research is significant because changes in the distribution, genetic diversity, and ecophysiology of leopard seals can dramatically restructure polar and subpolar communities. Further, the research will expand understanding of leopard seals\u2019 ecological role, likely characterizing the species as flexible polar and subpolar predators throughout the Southern Hemisphere. The findings of this research will be relevant for use in ecosystem-based management decisions\u2014including the design of Marine Protected Areas\u2014 across three continents. This study will highlight intrinsic traits that determine species\u2019 adaptive capacity, as well as showcase the dynamic links between polar and subpolar ecosystems. 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": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "FIELD SURVEYS; SPECIES/POPULATION INTERACTIONS; MARINE ECOSYSTEMS; MAMMALS; Southern Ocean", "locations": "Southern Ocean", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Kienle, Sarah; Trumble, Stephen J; Bonin, Carolina", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repositories": null, "science_programs": null, "south": null, "title": "Move, Adapt, or Change: Examining the Adaptive Capacity of a Southern Ocean Apex Predator, the Leopard Seal", "uid": "p0010375", "west": null}, {"awards": "2147553 Rotella, Jay; 1640481 Rotella, Jay; 2147554 Chen, Nancy", "bounds_geometry": "POLYGON((162 -74.95,162.8 -74.95,163.6 -74.95,164.4 -74.95,165.2 -74.95,166 -74.95,166.8 -74.95,167.6 -74.95,168.4 -74.95,169.2 -74.95,170 -74.95,170 -75.295,170 -75.64,170 -75.985,170 -76.33,170 -76.67500000000001,170 -77.02000000000001,170 -77.36500000000001,170 -77.71000000000001,170 -78.055,170 -78.4,169.2 -78.4,168.4 -78.4,167.6 -78.4,166.8 -78.4,166 -78.4,165.2 -78.4,164.4 -78.4,163.6 -78.4,162.8 -78.4,162 -78.4,162 -78.055,162 -77.71000000000001,162 -77.36500000000001,162 -77.02000000000001,162 -76.67500000000001,162 -76.33,162 -75.985,162 -75.64,162 -75.295,162 -74.95))", "dataset_titles": "Demographic data for Weddell Seal colonies in Erebus Bay through the 2023 Antarctic field season", "datasets": [{"dataset_uid": "601837", "doi": "10.15784/601837", "keywords": "AMD; Amd/Us; Antarctica; Cryosphere; McMurdo Sound; Population Dynamics; USA/NSF; USAP-DC; Weddell Seal", "people": "Rotella, Jay", "repository": "USAP-DC", "science_program": null, "title": "Demographic data for Weddell Seal colonies in Erebus Bay through the 2023 Antarctic field season", "url": "https://www.usap-dc.org/view/dataset/601837"}], "date_created": "Sun, 07 Aug 2022 00:00:00 GMT", "description": "Part 1: Non-technical description This is a continuation of a long-term population dynamics study (1978-present) using an intensive mark-recapture tagging of Weddell seals in Erebus Bay, Antarctica. Past work has become a global model for population studies of large animals. Results have documented strong annual variation in reproduction, abundance, and population composition. This program will add components to evaluate the demographic role of immigrant mothers, evaluate possible drivers of annual variation in overall population dynamics, assess genetic differences between immigrant and locally born mothers, and document patterns of gene flow among seal colonies in the Ross Sea region. These new aspects will focus on understanding of population structure, function, and genetics and provide key information for predicting how the seal population will respond to environmental change. The addition of genetic approaches will advance available data for multiple groups in multiple countries working on Weddell Seals. This work includes an early career scientists training program for faculty university graduate and undergraduate students and well as a defined program for data sharing. The research is paired with active education and outreach programs, social media, websites, educational resources, videos and high-profile public lecture activities. The informal science education program will expand on the project\u2019s successful efforts at producing and delivering short-form videos that have been viewed over 1.6 million times to date. In addition, the education program will add new topics such as learning about seals using genomics and how seals respond to a changing world to a multimedia-enhanced electronic book about the project\u2019s long-term research on Weddell seals, which will be freely available to the public early in the project. Part 2: Technical description Reliable predictions are needed for how populations of wild species, especially those at high latitudes, will respond to future environmental conditions. This study will use a strategic extension of the long-term demographic research program that has been conducted annually on the Erebus Bay population of Weddell seals since 1978 to help meet that need. Recent analyses of the study population indicate strong annual variation in reproduction, abundance, and population composition. The number of new immigrant mothers that join the population each year has recently grown such that most new mothers are now immigrants. Despite the growing number of immigrants, the demographic importance and geographic origins of immigrants are unknown. The research will (1) add new information on drivers of annual variation in immigrant numbers, (2) compare and combine information on the vital rates and demographic role of immigrant females and their offspring with that of locally born females, and (3) add genomic analyses that will quantify levels of genetic variation in and gene flow among the study population and other populations in the Ross Sea. The project will continue the long-term monitoring of the population at Erebus Bay and characterize population dynamics and the role of immigration using a combination of mark-recapture analyses, stochastic population modeling, and genomic analyses. The study will continue to provide detailed data on individual seals to other science teams, educate and mentor individuals in the next generation of ecologists, introduce two early-career, female scientists to Antarctic research, and add genomics approaches to the long-term population study of Erebus Bay Weddell seals. The research will be complemented with a robust program of training and an informal science education program. 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": 170.0, "geometry": "POINT(166 -76.67500000000001)", "instruments": null, "is_usap_dc": true, "keywords": "SPECIES/POPULATION INTERACTIONS; McMurdo Sound", "locations": "McMurdo Sound", "north": -74.95, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Rotella, Jay; Chen, Nancy", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.4, "title": "Collaborative Research: The Drivers and Role of Immigration in the Dynamics of the Largest Population of Weddell Seals in Antarctica under Changing Conditions", "uid": "p0010361", "west": 162.0}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": "POLYGON((-78 -62,-76.2 -62,-74.4 -62,-72.6 -62,-70.8 -62,-69 -62,-67.2 -62,-65.4 -62,-63.6 -62,-61.8 -62,-60 -62,-60 -63,-60 -64,-60 -65,-60 -66,-60 -67,-60 -68,-60 -69,-60 -70,-60 -71,-60 -72,-61.8 -72,-63.6 -72,-65.4 -72,-67.2 -72,-69 -72,-70.8 -72,-72.6 -72,-74.4 -72,-76.2 -72,-78 -72,-78 -71,-78 -70,-78 -69,-78 -68,-78 -67,-78 -66,-78 -65,-78 -64,-78 -63,-78 -62))", "dataset_titles": "Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 \u0026 2010-2011); Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 \u0026 2018-2019); Passive particle trajectories from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019; Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 \u0026 2010-2011; Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019; Simulated marine debris trajectories along the West Antarctic Peninsula in 2008-2009 and 2018-2019", "datasets": [{"dataset_uid": "601779", "doi": "10.15784/601779", "keywords": "Antarctica; Cryosphere; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 \u0026 2010-2011)", "url": "https://www.usap-dc.org/view/dataset/601779"}, {"dataset_uid": "601734", "doi": "10.15784/601734", "keywords": "Antarctica; Modeling; Regional Ocean Modeling System; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated marine debris trajectories along the West Antarctic Peninsula in 2008-2009 and 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601734"}, {"dataset_uid": "601656", "doi": "10.15784/601656", "keywords": "Antarctica; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 \u0026 2018-2019)", "url": "https://www.usap-dc.org/view/dataset/601656"}, {"dataset_uid": "601655", "doi": "10.15784/601655", "keywords": "Antarctica; Antarctic Krill; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601655"}, {"dataset_uid": "601682", "doi": "10.15784/601682", "keywords": "Antarctica; Physical Oceanography; Regional Ocean Modeling System; ROMS", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Passive particle trajectories from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601682"}, {"dataset_uid": "601780", "doi": "10.15784/601780", "keywords": "Antarctica; Antarctic Krill; Cryosphere; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 \u0026 2010-2011", "url": "https://www.usap-dc.org/view/dataset/601780"}], "date_created": "Tue, 19 Jul 2022 00:00:00 GMT", "description": "Pygoscelis penguins are central place foragers during the summer while they raise their chicks. They leave and return to the same colony location after hunting for food and rely on the availability of Antarctic krill, their primary food source. This research focuses on whether penguin diets and colony location reflect the retention of prey around and near colonies on the West Antarctic Peninsula. Eddies and other oceanographic processes may facilitate prey retention at certain locations, driving penguin colony establishment and success. This project hypothesizes that Pygoscelis penguin diets will be composed of more Antarctic krill (Euphausia superba) when local prey retention is high, possibly due to subsurface eddies. This hypothesis will be tested using satellite-based estimates of Pygoscelis penguin diet composition using multispectral sensor data to estimate nitrogen values and infer trophic level. Prey retention will be calculated along the peninsula using the Regional Ocean Modeling System (ROMS). Simulated particles and diel vertical migration will be used to mimic krill behavior. These particles can be experimentally seeded across multiple depths in multiple years to assess residence times in the system. Using penguin colony data from the Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD), the PI will correlate diet and retention metrics to local penguin colony growth and persistence and build a predictive model of where colonies may form in the future. 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": -60.0, "geometry": "POINT(-69 -67)", "instruments": null, "is_usap_dc": true, "keywords": "Antarctic Peninsula; PENGUINS; SPECIES/POPULATION INTERACTIONS; OCEAN CURRENTS", "locations": "Antarctic Peninsula", "north": -62.0, "nsf_funding_programs": "Post Doc/Travel", "paleo_time": null, "persons": "Gallagher, Katherine", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -72.0, "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "uid": "p0010349", "west": -78.0}, {"awards": "1744885 Moline, Mark", "bounds_geometry": "POLYGON((-64.643 -64.703149,-64.5388975 -64.703149,-64.43479500000001 -64.703149,-64.3306925 -64.703149,-64.22659 -64.703149,-64.1224875 -64.703149,-64.018385 -64.703149,-63.9142825 -64.703149,-63.81018 -64.703149,-63.706077500000006 -64.703149,-63.601975 -64.703149,-63.601975 -64.7258003,-63.601975 -64.7484516,-63.601975 -64.77110289999999,-63.601975 -64.7937542,-63.601975 -64.8164055,-63.601975 -64.8390568,-63.601975 -64.86170809999999,-63.601975 -64.8843594,-63.601975 -64.9070107,-63.601975 -64.929662,-63.706077500000006 -64.929662,-63.81018 -64.929662,-63.9142825 -64.929662,-64.018385 -64.929662,-64.1224875 -64.929662,-64.22659 -64.929662,-64.3306925 -64.929662,-64.43479500000001 -64.929662,-64.5388975 -64.929662,-64.643 -64.929662,-64.643 -64.9070107,-64.643 -64.8843594,-64.643 -64.86170809999999,-64.643 -64.8390568,-64.643 -64.8164055,-64.643 -64.7937542,-64.643 -64.77110289999999,-64.643 -64.7484516,-64.643 -64.7258003,-64.643 -64.703149))", "dataset_titles": null, "datasets": null, "date_created": "Mon, 18 Jul 2022 00:00:00 GMT", "description": "This research project will use specially designed autonomous underwater vehicles (AUVs) to investigate interactions between Adelie and Gentoo penguins (the predators) and their primary food source, Antarctic krill (prey). While it has long been known that penguins feed on krill, details about how they search for food and target individual prey items is less well understood. Krill aggregate in large swarms, and the size or the depth of these swarms may influence the feeding behavior of penguins. Similarly, penguin feeding behaviors may differ based on characteristics of the environment, krill swarms, and the presence of other prey and predator species. This project will use specialized smart AUVs to simultaneously collect high-resolution observations of penguins, their prey, and environmental conditions. Data will shed light on strategies used by penguins prove foraging success during the critical summer chick-rearing period. This will improve predictions of how penguin populations may respond to changing environmental conditions in the rapidly warming Western Antarctic Peninsula region. Greater understanding of how individual behaviors shape food web structure can also inform conservation and management efforts in other marine ecosystems. This project has a robust public education and outreach plan linked with the Birch and Monterey Bay Aquariums. Previous studies have shown that sub-mesoscale variability (1-10 km) in Antarctic krill densities and structure impact the foraging behavior of air-breathing predators. However, there is little understanding of how krill aggregation characteristics are linked to abundance on fine spatial scales, how these patterns are influenced by the habitat, or how prey characteristics influences the foraging behavior of predators. These data gaps remain because it is extremely challenging to collect detailed data on predators and prey simultaneously at the scale of an individual krill patch and single foraging event. Building on previously successful efforts, this project will integrate echosounders into autonomous underwater vehicles (AUVs), so that oceanographic variables and multi-frequency acoustic scattering from both prey and penguins can be collected simultaneously. This will allow for quantification of the environment at the scale of individual foraging events made by penguins during the critical 50+ day chick-rearing period. Work will be centered near Palmer Station, where long-term studies have provided significant insight into predator and prey population trends. The new data to be collected by this project will test hypotheses about how penguin prey selection and foraging behaviors are influenced by physical and biological features of their ocean habitat at extremely fine scale. By addressing the dynamic relationship between individual penguins, their prey, and habitat at the scale of individual foraging events, this study will begin to reveal the important processes regulating resource availability and identify what makes this region a profitable foraging habitat and breeding location. 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": -63.601975, "geometry": "POINT(-64.1224875 -64.8164055)", "instruments": null, "is_usap_dc": true, "keywords": "COASTAL; COMMUNITY DYNAMICS; ECOSYSTEM FUNCTIONS; SPECIES/POPULATION INTERACTIONS; Palmer Station; MICROALGAE; PENGUINS; ANIMALS/INVERTEBRATES", "locations": "Palmer Station", "north": -64.703149, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Integrated System Science", "paleo_time": null, "persons": "Moline, Mark; Benoit-Bird, Kelly; Cimino, Megan", "platforms": null, "repositories": null, "science_programs": null, "south": -64.929662, "title": "Collaborative Research: Linking Predator Behavior and Resource Distributions: Penguin-directed Exploration of an Ecological Hotspot", "uid": "p0010347", "west": -64.643}, {"awards": "1951500 Jenouvrier, Stephanie", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Data from: Individual life histories: Neither slow nor fast, just diverse; Evo-Demo Hyperstate Matrix Model Code Repository; Hyperstate matrix model reveals the influence of personality on demography; Individual life histories: neither slow nor fast, just diverse; Plastic Behaviour Buffers Climate Variability in the Wandering Albatross; Strong winds reduce foraging success in albatrosses; Subtropical anticyclone impacts life-history traits of a marine top predator; The impact of boldness on demographic rates and lifehistory outcomes in the wandering albatross", "datasets": [{"dataset_uid": "200453", "doi": "10.5061/dryad.3bk3j9kpm", "keywords": null, "people": null, "repository": "Dryad", "science_program": null, "title": "Data from: Individual life histories: Neither slow nor fast, just diverse", "url": "https://doi.org/10.5061/dryad.3bk3j9kpm"}, {"dataset_uid": "200454", "doi": "", "keywords": null, "people": null, "repository": "GITHUB", "science_program": null, "title": "Evo-Demo Hyperstate Matrix Model Code Repository", "url": "https://github.com/fledge-whoi/Eco-EvoHyperstateModel"}, {"dataset_uid": "200459", "doi": "https://doi.org/10.5281/zenodo.13881532", "keywords": null, "people": null, "repository": "ZENODO", "science_program": null, "title": "Strong winds reduce foraging success in albatrosses", "url": "https://zenodo.org/records/13881532"}, {"dataset_uid": "200458", "doi": "https://doi.org/10.5061/dryad.3bk3j9kpm", "keywords": null, "people": null, "repository": "DRYAD", "science_program": null, "title": "Individual life histories: neither slow nor fast, just diverse", "url": "https://doi.org/10.6084/m9.figshare.c.6181063."}, {"dataset_uid": "200457", "doi": " https://zenodo.org/doi/10.5281/zenodo.10887354", "keywords": null, "people": null, "repository": "ZENODO", "science_program": null, "title": "Plastic Behaviour Buffers Climate Variability in the Wandering Albatross", "url": "https://zenodo.org/records/14290546"}, {"dataset_uid": "601770", "doi": "10.15784/601770", "keywords": "Antarctica; Cryosphere; Demography; Sub-Antarctic", "people": "Joanie, Van de Walle; Jenouvrier, Stephanie", "repository": "USAP-DC", "science_program": null, "title": "The impact of boldness on demographic rates and lifehistory outcomes in the wandering albatross", "url": "https://www.usap-dc.org/view/dataset/601770"}, {"dataset_uid": "200456", "doi": "", "keywords": null, "people": null, "repository": "GITHUB", "science_program": null, "title": "Subtropical anticyclone impacts life-history traits of a marine top predator", "url": "https://github.com/fledge-whoi/Alba_Mascarene-High"}, {"dataset_uid": "200455", "doi": "", "keywords": null, "people": null, "repository": "GITHUB", "science_program": null, "title": "Hyperstate matrix model reveals the influence of personality on demography", "url": "https://github.com/fledge-whoi/HyperstateWApopulationmodel"}], "date_created": "Wed, 08 Dec 2021 00:00:00 GMT", "description": "Part I: Nontechnical description: This award represents a collaborative geoscience research effort between US NSF and UK Natural Environment Research Council (NERC) researchers with efforts in each nation funded by their respective countries (Dear Colleague Letter NSF 16-132). The research will focus on understanding the links between behavior, ecology, and evolution in a Southern Ocean wandering albatross population in response to global changes in climate and in exploitation of natural resources. The most immediate response of animals to global change typically is behavioral, and this work will provide a more comprehensive understanding of how differences individual bird behavior affect evolution and adaptation for the population under changing environments. Characterization of albatross personality, life-history traits, and population dynamics collected over long time scales will be used to develop robust forecasting of species persistence in the face of future global changes. The results of this project will feed into conservation and management decisions for endangered Southern Ocean species. The work will also be used to provide specific research training at all levels, including a postdoctoral scholar, graduate students and K-12 students. It will also support education for the public about impacts from human-induced activities on our polar ecosystems using animations, public lectures, printed and web media. Part II: Technical description Past research has shown that individual animal personalities range over a continuum of behavior, such that some individuals are consistently more aggressive, more explorative, and bolder than others. How the phenotypic distributions of personality and foraging behavior types within a population is created and maintained by ecological (demographic and phenotypic plasticity) and evolutionary (heritability) processes remain an open question. Differences in personality traits determine how individuals acquire resources and how they allocate these to reproduction and survival. Although some studies have found different foraging behaviors or breeding performances between personality types, none have established the link between personality differences in foraging behaviors and life histories (both reproduction and survival, and their covariations) in the context of global change. Furthermore, plasticity in foraging behaviors is not considered in the pace-of-life syndrome, which has potentially hampered our ability to find covariation between personality and life history trade-off. This project will fill these knowledge gaps and develop an eco-evolutionary model of the complex interactions among individual personality and foraging plasticity, heritability of personality and foraging behaviors, life history strategies, population dynamics in a changing environment (fisheries and climate) using a long-term database consisting of ~1,800 tagged wandering albatross seabirds (Diomedea exulans) with defined individual personalities and life history traits breeding in the Southern Ocean. Climate projections from IPCC atmospheric-oceanic global circulation models will be used to provide projections of population structure under future global change conditions. Specifically, the team will (1) characterize the differences in life history strategies along the shy-bold continuum of personalities and across environmental conditions; (2) develop the link between phenotypic plasticity in foraging effort and personality; (3) characterize the heritability of personality and foraging behaviors; (4) develop a stochastic eco-evolutionary model to predict population growth rates in a changing environment. 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": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "USAP-DC; AMD; ECOLOGICAL DYNAMICS; OCEAN TEMPERATURE; USA/NSF; Antarctica; FIELD INVESTIGATION; SPECIES/POPULATION INTERACTIONS; PENGUINS; Amd/Us", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Jenouvrier, Stephanie; Patrick, Samantha", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "Dryad", "repositories": "Dryad; DRYAD; GITHUB; USAP-DC; ZENODO", "science_programs": null, "south": -90.0, "title": "NSFGEO-NERC: Integrating Individual Personality Differences in the Evolutionary Ecology of a Seabird in the Rapidly Changing Polar Environment", "uid": "p0010283", "west": -180.0}, {"awards": "1746148 Sirovic, Ana", "bounds_geometry": "POLYGON((140 -65.5,140.8 -65.5,141.6 -65.5,142.4 -65.5,143.2 -65.5,144 -65.5,144.8 -65.5,145.6 -65.5,146.4 -65.5,147.2 -65.5,148 -65.5,148 -65.57,148 -65.64,148 -65.71,148 -65.78,148 -65.85,148 -65.92,148 -65.99,148 -66.06,148 -66.13,148 -66.2,147.2 -66.2,146.4 -66.2,145.6 -66.2,144.8 -66.2,144 -66.2,143.2 -66.2,142.4 -66.2,141.6 -66.2,140.8 -66.2,140 -66.2,140 -66.13,140 -66.06,140 -65.99,140 -65.92,140 -65.85,140 -65.78,140 -65.71,140 -65.64,140 -65.57,140 -65.5))", "dataset_titles": "Passive acoustic recording metadata from East Antarctica, Feb 2019", "datasets": [{"dataset_uid": "601465", "doi": "10.15784/601465", "keywords": "Antarctica; East Antarctica", "people": "Sirovic, Ana", "repository": "USAP-DC", "science_program": null, "title": "Passive acoustic recording metadata from East Antarctica, Feb 2019", "url": "https://www.usap-dc.org/view/dataset/601465"}], "date_created": "Tue, 13 Jul 2021 00:00:00 GMT", "description": "Understanding the interaction between blue whales and their prey is essential for understanding Antarctic ecosystem dynamics. In the austral summer of 2019 an international interdisciplinary research voyage will head to the Antarctic with the overall goal of mapping Antarctic krill and blue whale distributions to determine if foraging preferences of blue whales are dictated in part by the density and shape of Antarctic krill swarms. This research voyage will combine advanced research technologies (including autonomous underwater vehicles, short term-tags, photogrammetry, and ship-based, real-time passive listening and active echosounders) to answer questions about how the density, swarm shape and behavior of Antarctic krill influence Antarctic blue whales. U.S. participation on this voyage on an Australian research vessel will allow collection of concurrent predator and prey data through the use of passive listening and echosounders from a fixed mooring. By coupling moored data collection with the ship-based survey focusing on Antarctic blue whale behavior and krill dynamics, the project will contribute to the understanding of basic questions relating to the dynamics between blue whales and their prey as well as adding to the development of instrumentation and technologies that will enhance current capabilities for in situ observing on the continent and the surrounding ice-covered waters. The project will provide an educational platform for high school students and the general public to virtually experience Antarctica via \"virtual sailing\" through a project website and blog. Students and the general public also will be allowed the opportunity to participate in post-cruise data analysis. The Australian Antarctic Division and the University of Tasmania will lead an international voyage to the Antarctic in the austral summer of 2019. The overall goal of the voyage will be to map Antarctic krill (Euphausia superba) and blue whale (Balaenoptera musculus) distributions to determine if the foraging preferences of blue whales are dictated in part by the density and shape of Antarctic krill swarms. US participation in voyage will entail the deployment of passive and active acoustic instrumentation on a fixed mooring in concert with real-time acoustic and visual tracking and localizing of blue whales that will then allow better directing of ship operations towards aggregations of animals such that fine-scale acoustic tracking and prey field mapping can be achieved. This approach will be the first time such an acoustic system is deployed in Antarctica and used in an integrative fashion to assess foraging behaviors and krill. Thus, the project will advance understanding of the relationships between the acoustic ecology of blue whales, krill abundance, and blue whale densities. The technology deployment and testing will also be used to assess its potential use in ice-covered waters for similar studies in the future. Broader impacts of this project will occur through outreach and education, as well as through the collaborations with the broader international scientific community. The project will provide educational platforms for high school students and general public to virtually experience Antarctica. Research findings will be communicated to both the scientific community and the wider public through peer-reviewed publications, presentations, student lectures, seminars and communication through appropriate media channels by institutional communications teams. 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": 148.0, "geometry": "POINT(144 -65.85)", "instruments": null, "is_usap_dc": true, "keywords": "Amd/Us; AMD; USAP-DC; SPECIES/POPULATION INTERACTIONS; MAMMALS; PELAGIC; East Antarctica; USA/NSF; ACOUSTIC SCATTERING; FIELD SURVEYS; ARTHROPODS", "locations": "East Antarctica", "north": -65.5, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Sirovic, Ana; Stafford, Kathleen", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -66.2, "title": "EAGER: Collaborative Research: Acoustic Ecology of Foraging Antarctic Blue Whales in the Vicinity of Antarctic Krill", "uid": "p0010228", "west": 140.0}]

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