{"dp_type": "Project", "free_text": "ANIMAL ECOLOGY AND BEHAVIOR"}
[{"awards": "2042032 Huckstadt, Luis", "bounds_geometry": null, "dataset_titles": "Crabeater seal tracking data 2022-2023", "datasets": [{"dataset_uid": "601861", "doi": "10.15784/601861", "keywords": "Antarctica; Cryosphere", "people": "Huckstadt, Luis", "repository": "USAP-DC", "science_program": null, "title": "Crabeater seal tracking data 2022-2023", "url": "https://www.usap-dc.org/view/dataset/601861"}], "date_created": "Wed, 27 Nov 2024 00:00:00 GMT", "description": "Part I: Non-technical description: The crabeater seal is the most important predator of Antarctic krill in the western Antarctic Peninsula oceanic waters after the disappearance of large whales due to human hunting 100 years ago. The crabeater seals are expected to consume large quantities of krill due to their high abundance (about 7 million individuals), large body size (about 700 pounds in body weight), high metabolism and a diet specializing in krill. This species depends on sea ice presence all year long, living, reproducing, and diving to feed from that environment, making this marine mammal species a good indicator, or sentinel, of how the Antarctic ecosystem responds to a changing climate. As sea ice has been decreasing in the northern Antarctic Peninsula, this project aims to understand if the species food availability has changed in the last decades in response to environmental changes. In particular, the proposed work will concentrate on known populations of crabeater seals in northern (i.e., warmer, sub-polar) and southern (i.e., colder, polar) Antarctic Peninsula, 450 miles apart, making measurements on the abundance, physiology, metabolic needs and movement of the crabeater populations in both locations. The data will be combined to build models that will quantify the existing differences between northern and southern populations, as well as predict their future change, and compare present-day measurements with those collected by the British Antarctic Survey in the mid-1900s. The project is a collaboration between an international and interdisciplinary team from the United States and United Kingdom, benefitting NSF goals to facilitate collaborative geoscience research projects involving these two countries as well as aligning directly with U.S. Global Change Research Program (USGCRP) to better understand the forces shaping the global environment, both human and natural, and their impacts on society. To further increase polar literacy and education, Principal Investigators will train at least 2 graduate students and several undergraduates across two US institutions, as well as one UK-based post-doctoral researcher. Part II: Technical description: Crabeater seals (Lobodon carcinophaga) are considered an excellent sentinel species through which to examine the effects of a changing climate on the extended Antarctic krill-dependent predator community and the structure of the entire ecosystem of the western Antarctic Peninsula. Over the last forty years, there have been significant changes in the temporal and spatial patterns of primary productivity, and shifts in the population dynamics of Antarctic krill, the dominant mid-trophic level species. The impact of such changes on year-round resident species of crabeater seals (the most important predator of Antarctic krill) is more difficult to understand as they are not associated with breeding colonies where their population fluctuations could be more readily observed. The proposed research is conceived under the premise that environmental change has accentuated the differences between the northern and southern western Antarctic Peninsula crabeater seal populations due to differential reductions in sea-ice and its possible effect on prey availability. To address this question, this research will combine measurements on animal movement, stable isotope analyses, whole-animal physiology, and novel survey technologies (small Unmanned Aircraft Systems, satellite imagery) to build models. The project is a collaboration between an international and interdisciplinary team from the United States and United Kingdom. These studies will be essential to detect past, and project future, changes in the ecology of this species in response to changes in sea ice when comparing present-day measurements with those collected by the British Antarctic Survey in the mid-1900s. To further increase polar literacy and education, Principal Investigators will train at least 2 graduate students and several undergraduates across two US institutions, as well as one UK-based post-doctoral researcher. Students involved with this project will gain invaluable research experience in the lab and will have a unique opportunity to participate in Antarctic fieldwork. 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": "ANIMAL ECOLOGY AND BEHAVIOR; MARINE ECOSYSTEMS; Antarctica", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Huckstadt, Luis", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "NSFGEO-NERC Collaborative Research: Effects of a Changing Climate on the Habitat Utilization, Foraging Ecology and Distribution of Crabeater Seals", "uid": "p0010490", "west": null}, {"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": "1840941 Murphy, David; 1840927 Weissburg, Marc; 1840949 Fields, David", "bounds_geometry": null, "dataset_titles": "", "datasets": [{"dataset_uid": "200473", "doi": "", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "", "url": "https://www.bco-dmo.org/project/898124"}], "date_created": "Fri, 25 Jun 2021 00:00:00 GMT", "description": "Antarctic krill (Euphausia superba) are an ecologically important component of the Southern Ocean\u0027s food web, yet little is known about their behavior in response to many features of their aquatic environment. This project will improve understanding of krill swimming and schooling behavior by examining individual responses to light levels, water flow rates, the presence of attractive and repulsive chemical cues. Flow, light and chemical conditions will be controlled and altered in specialized tanks outfitted with high speed digital camera systems so that individual krill responses to these factors can be measured in relevant schooling settings. This analysis will be used to predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones). Such information will then be used to improve models that estimate the energetic costs of behaviors associated with different types of environments. Linking individual behavior to those of larger krill aggregations will also improve acoustic assessments of krill densities. Understanding the capacity of krill to respond to environmental perturbations will improve our understanding of the ecology of high latitude ecosystems and provide relevant information for the management of krill fisheries. The project will support graduate and undergraduate students and provide training for as post-doctoral associate. Curricular materials and public engagement activities will be based on the project\u0027s aims and activities. Project investigators will share model results and predictions of krill movements and school structure with experts interested in krill conservation and management. The project will use horizontal and vertical laminar flow tunnels to examine krill behavior under naturally relevant conditions. Horizontal (1-10 cm per second) and vertical (1-3 mm per second) flow velocities mimic naturally relevant current patterns, while light levels and spectral quality will be varied from complete darkness to intensities experienced across the depth range inhabited by krill. Attractive phytoplankton odor will be created by dosing the flumes to obtain background chlorophyll a levels approximating average and bloom conditions, while repulsive cues will be generated from penguin guano. Behavior of individual krill in all conditions will be video recorded with cameras visualizing X-Y and Y-Z planes, and 3D movements will be reconstructed by video motion analysis at a 5 Hz sampling rate. The distribution of horizontal and vertical swimming angles and velocities will be used to create an individual based model (IBM) of krill movement in response to each condition, where krill behavior at each model time step is based on random draws from the velocity and angular distributions. Since krill commonly travel in groups, further experiments will examine the behavior of small krill schools in these same conditions to further parameterize variables such as individual spacing. Researchers will examine krill aggregation structure from 3D video records of krill swimming in a specially designed kriesel tank, and compute nearest neighbor distances (NND) and correlations of swimming angles among individuals within the aggregation. Krill movements in the IBM will be constrained to adhere to observed NND and angular correlations. Large scale oceanographic models will be used to define spatial environments in which the modelled krill will be allowed to move using simulated schools of 1000-100,000 krill. Model output will include the school swimming speed, direction and structure (packing density, NND). Researchers will compare available acoustic data sets of krill schools in measured flow and phytoplankton abundance to evaluate the model predictions. 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": "ANIMAL ECOLOGY AND BEHAVIOR; AMD; FIELD INVESTIGATION; Amd/Us; USAP-DC; Palmer Station; USA/NSF", "locations": "Palmer Station", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Integrated System Science", "paleo_time": null, "persons": "Record, Nicholas ; Weissburg, Marc; Murphy, David", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "BCO-DMO", "repositories": "BCO-DMO", "science_programs": null, "south": null, "title": "Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations", "uid": "p0010202", "west": null}, {"awards": "1640481 Rotella, Jay", "bounds_geometry": "POLYGON((162 -75,162.8 -75,163.6 -75,164.4 -75,165.2 -75,166 -75,166.8 -75,167.6 -75,168.4 -75,169.2 -75,170 -75,170 -75.38,170 -75.76,170 -76.14,170 -76.52,170 -76.9,170 -77.28,170 -77.66,170 -78.03999999999999,170 -78.42,170 -78.8,169.2 -78.8,168.4 -78.8,167.6 -78.8,166.8 -78.8,166 -78.8,165.2 -78.8,164.4 -78.8,163.6 -78.8,162.8 -78.8,162 -78.8,162 -78.42,162 -78.03999999999999,162 -77.66,162 -77.28,162 -76.9,162 -76.52,162 -76.14,162 -75.76,162 -75.38,162 -75))", "dataset_titles": "Demographic data for Weddell Seal colonies in Erebus Bay through the 2017 Antarctic field season; 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"}, {"dataset_uid": "200300", "doi": " https://doi.org/10.15784/601125 ", "keywords": null, "people": null, "repository": "USAP-DC", "science_program": null, "title": "Demographic data for Weddell Seal colonies in Erebus Bay through the 2017 Antarctic field season", "url": "https://www.usap-dc.org/view/dataset/601125"}], "date_created": "Thu, 24 Jun 2021 00:00:00 GMT", "description": "The consequences of variation in maternal effects on the ability of offspring to survive, reproduce, and contribute to future generations has rarely been evaluated in polar marine mammals. This is due to the challenges of having adequate data on the survival and reproductive outcomes for numerous offspring born in diverse environmental conditions to mothers with known and diverse sets of traits. This research project will evaluate the survival and reproductive consequences of early-life environmental conditions and variation in offspring traits that are related to maternal attributes (e.g. birth date, birth mass, weaning mass, and swimming behavior) in a population of individually marked Weddell seals in the Ross Sea. Results will allow an evaluation of the importance of different types of individuals to the Weddell Seal\u0027s population sustenance and better assessments of factors contributing to the population dynamics in the past and into the future. The project allows for documentation of specific individual seal\u0027s unique histories and provisioning of such information to the broader science community that seeks to study these seals, educating graduate and undergraduate ecology students, producing science-outreach videos, and developing a multi-media iBook regarding the project\u0027s science activities, goals and outcomes. The research has the broad objective of evaluating the importance of diverse sources of variation in pup characteristics to survival and reproduction. The study will (1) record birth dates, body mass metrics, and time spent in the water for multiple cohorts of pups (born to known-age mothers) in years with different environmental conditions; (2) mark all pups born in the greater Erebus Bay study area and conduct repeated surveys to monitor fates of these pups through the age of first reproduction; and (3) use analyses specifically designed for data on animals that are individually marked and resighted each year to evaluate hypotheses about how variation in birth dates, pup mass, time spent in the water by pups, and environmental conditions relate to variation in early-life survival and recruitment for those pups. The research will also allow the documentation of the population status that will contribute to the unique long-term database for the local population that dates back to 1978.", "east": 170.0, "geometry": "POINT(166 -76.9)", "instruments": null, "is_usap_dc": true, "keywords": "AMD; ANIMAL ECOLOGY AND BEHAVIOR; Amd/Us; FIELD INVESTIGATION; Ross Sea; USA/NSF; USAP-DC", "locations": "Ross Sea", "north": -75.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Rotella, Jay; Garrott, Robert", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.8, "title": "The consequences of maternal effects and environmental conditions on offspring success in an Antarctic predator", "uid": "p0010198", "west": 162.0}, {"awards": "1826712 McMahon, Kelton; 1443386 Emslie, Steven; 1443585 Polito, Michael; 1443424 McMahon, Kelton", "bounds_geometry": "POLYGON((-180 -60,-166 -60,-152 -60,-138 -60,-124 -60,-110 -60,-96 -60,-82 -60,-68 -60,-54 -60,-40 -60,-40 -61.8,-40 -63.6,-40 -65.4,-40 -67.2,-40 -69,-40 -70.8,-40 -72.6,-40 -74.4,-40 -76.2,-40 -78,-54 -78,-68 -78,-82 -78,-96 -78,-110 -78,-124 -78,-138 -78,-152 -78,-166 -78,180 -78,178 -78,176 -78,174 -78,172 -78,170 -78,168 -78,166 -78,164 -78,162 -78,160 -78,160 -76.2,160 -74.4,160 -72.6,160 -70.8,160 -69,160 -67.2,160 -65.4,160 -63.6,160 -61.8,160 -60,162 -60,164 -60,166 -60,168 -60,170 -60,172 -60,174 -60,176 -60,178 -60,-180 -60))", "dataset_titles": "Amino acid nitrogen isotope values of modern and ancient Ad\u00e9lie penguin eggshells from the Ross Sea and Antarctic Peninsula regions; Amino acid nitrogen isotope values of penguins from the Antarctic Peninsula region 1930s to 2010s; Ancient Adelie penguin colony revealed by snowmelt at Cape Irizar, Ross Sea, Antarctica; Carbon and nitrogen stable isotope values of Antarctic Krill from the South Shetland Islands and the northern Antarctic Peninsula 2007 and 2009; Radiocarbon dates from pygoscelid penguin tissues excavated at Stranger Point, King George Island, Antarctic Peninsula; Radiocarbon dating and stable isotope values of penguin and seal tissues recovered from ornithogenic soils on Platter Island, Danger Islands Archipelago, Antarctic Peninsula in December 2015.; Radioisotope dates and carbon (\u03b413C) and nitrogen (\u03b415N) stable isotope values from modern and mummified Ad\u00e9lie Penguin chick carcasses and tissue from the Ross Sea, Antarctica; Radiometric dating, geochemical proxies, and predator biological remains obtained from aquatic sediment cores on South Georgia Island.; Receding ice drove parallel expansions in Southern Ocean penguin; SNP data from \"Receding ice drove parallel expansions in Southern Ocean penguins\".; Stable isotope analysis of multiple tissues from chick carcasses of three pygoscelid penguins in Antarctica; Stable isotopes of Adelie Penguin chick bone collagen; The rise and fall of an ancient Adelie penguin \u0027supercolony\u0027 at Cape Adare, Antarctica", "datasets": [{"dataset_uid": "601327", "doi": "10.15784/601327", "keywords": "Adelie Penguin; Antarctica; Biota; Cape Adare; East Antarctica; Population Movement; Pygoscelis Adeliae; Radiocarbon; Ross Sea; Sea Level Rise; Stable Isotopes", "people": "Patterson, William; McKenzie, Ashley; Emslie, Steven D.", "repository": "USAP-DC", "science_program": null, "title": "The rise and fall of an ancient Adelie penguin \u0027supercolony\u0027 at Cape Adare, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601327"}, {"dataset_uid": "601212", "doi": "10.15784/601212", "keywords": "Abandoned Colonies; Antarctica; Antarctic Peninsula; Beach Deposit; Geochronology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Holocene; Penguin; Radiocarbon; Radiocarbon Dates; Snow/ice; Snow/Ice; Stranger Point", "people": "Emslie, Steven D.", "repository": "USAP-DC", "science_program": null, "title": "Radiocarbon dates from pygoscelid penguin tissues excavated at Stranger Point, King George Island, Antarctic Peninsula", "url": "https://www.usap-dc.org/view/dataset/601212"}, {"dataset_uid": "601210", "doi": "10.15784/601210", "keywords": "Antarctica; Antarctic Krill; Antarctic Peninsula; Biota; Carbon Isotopes; Isotope Data; Krill; Nitrogen Isotopes; Oceans; Southern Ocean; Stable Isotope Analysis", "people": "Polito, Michael", "repository": "USAP-DC", "science_program": null, "title": "Carbon and nitrogen stable isotope values of Antarctic Krill from the South Shetland Islands and the northern Antarctic Peninsula 2007 and 2009", "url": "https://www.usap-dc.org/view/dataset/601210"}, {"dataset_uid": "601232", "doi": "10.15784/601232", "keywords": "Amino Acids; Antarctica; Antarctic Peninsula; Biota; Isotope Data; Nitrogen Isotopes; Oceans; Penguin; Southern Ocean; Stable Isotope Analysis", "people": "Polito, Michael; McMahon, Kelton", "repository": "USAP-DC", "science_program": null, "title": "Amino acid nitrogen isotope values of penguins from the Antarctic Peninsula region 1930s to 2010s", "url": "https://www.usap-dc.org/view/dataset/601232"}, {"dataset_uid": "601374", "doi": "10.15784/601374", "keywords": "Adelie Penguin; Antarctica; Cape Irizar; Drygalski Ice Tongue; Ross Sea; Stable Isotopes", "people": "Emslie, Steven D.", "repository": "USAP-DC", "science_program": null, "title": "Ancient Adelie penguin colony revealed by snowmelt at Cape Irizar, Ross Sea, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601374"}, {"dataset_uid": "601382", "doi": "10.15784/601382", "keywords": "25 De Mayo/King George Island; Antarctica; Biota; Delta 13C; Delta 15N; Dietary Shifts; Opportunistic Sampling; Penguin; Pygoscelis Penguins; Stranger Point", "people": "Emslie, Steven D.; Ciriani, Yanina", "repository": "USAP-DC", "science_program": null, "title": "Stable isotope analysis of multiple tissues from chick carcasses of three pygoscelid penguins in Antarctica", "url": "https://www.usap-dc.org/view/dataset/601382"}, {"dataset_uid": "601913", "doi": "10.15784/601913", "keywords": "Adelie Penguin; Antarctica; Cryosphere; Foraging; Polynya; Pygoscelis Adeliae; Ross Sea; Stable Isotopes", "people": "Powers, Shannon; Emslie, Steven D.; Reaves, Megan", "repository": "USAP-DC", "science_program": null, "title": "Stable isotopes of Adelie Penguin chick bone collagen", "url": "https://www.usap-dc.org/view/dataset/601913"}, {"dataset_uid": "601509", "doi": "10.15784/601509", "keywords": "Antarctica; Antarctic Fur Seal; Elemental Concentrations; King Penguin; Population Dynamics; South Atlantic Ocean; South Georgia Island; Stable Isotope Analysis; Sub-Antarctic", "people": "Polito, Michael; McMahon, Kelton; Maiti, Kanchan; Kristan, Allyson", "repository": "USAP-DC", "science_program": null, "title": "Radiometric dating, geochemical proxies, and predator biological remains obtained from aquatic sediment cores on South Georgia Island.", "url": "https://www.usap-dc.org/view/dataset/601509"}, {"dataset_uid": "601760", "doi": "10.15784/601760", "keywords": "Adelie Penguin; Amino Acids; Antarctica; Antarctic Peninsula; Ross Sea; Stable Isotope Analysis; Trophic Position", "people": "Patterson, William; Emslie, Steven D.; Michelson, Chantel; Polito, Michael; Wonder, Michael; McCarthy, Matthew; McMahon, Kelton", "repository": "USAP-DC", "science_program": null, "title": "Amino acid nitrogen isotope values of modern and ancient Ad\u00e9lie penguin eggshells from the Ross Sea and Antarctic Peninsula regions", "url": "https://www.usap-dc.org/view/dataset/601760"}, {"dataset_uid": "200181", "doi": "10.6084/m9.figshare.c.4475300.v1", "keywords": null, "people": null, "repository": "Figshare", "science_program": null, "title": "SNP data from \"Receding ice drove parallel expansions in Southern Ocean penguins\".", "url": "https://doi.org/10.6084/m9.figshare.c.4475300.v1"}, {"dataset_uid": "601263", "doi": "10.15784/601263", "keywords": "Abandoned Colonies; Antarctica; Holocene; Penguin; Ross Sea; Stable Isotope Analysis", "people": "Patterson, William; Emslie, Steven D.; Kristan, Allyson", "repository": "USAP-DC", "science_program": null, "title": "Radioisotope dates and carbon (\u03b413C) and nitrogen (\u03b415N) stable isotope values from modern and mummified Ad\u00e9lie Penguin chick carcasses and tissue from the Ross Sea, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601263"}, {"dataset_uid": "601364", "doi": "10.15784/601364", "keywords": "Antarctica; Antarctic Peninsula; Arctocephalus Gazella; Carbon; Holocene; Nitrogen; Paleoecology; Penguin; Pygoscelis Spp.; Stable Isotope Analysis; Weddell Sea", "people": "Herman, Rachael; Kalvakaalva, Rohit; Clucas, Gemma; Polito, Michael", "repository": "USAP-DC", "science_program": null, "title": "Radiocarbon dating and stable isotope values of penguin and seal tissues recovered from ornithogenic soils on Platter Island, Danger Islands Archipelago, Antarctic Peninsula in December 2015.", "url": "https://www.usap-dc.org/view/dataset/601364"}, {"dataset_uid": "200180", "doi": "", "keywords": null, "people": null, "repository": "NCBI BioProject", "science_program": null, "title": "Receding ice drove parallel expansions in Southern Ocean penguin", "url": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA589336"}], "date_created": "Thu, 08 Aug 2019 00:00:00 GMT", "description": "The Antarctic marine ecosystem is highly productive and supports a diverse range of ecologically and commercially important species. A key species in this ecosystem is Antarctic krill, which in addition to being commercially harvested, is the principle prey of a wide range of marine organisms including penguins, seals and whales. The aim of this study is to use penguins and other krill predators as sensitive indicators of past changes in the Antarctic marine food web resulting from climate variability and the historic harvesting of seals and whales by humans. Specifically this study will recover and analyze modern (\u003c20 year old), historic (20-200 year old) and ancient (200-10,000 year old) penguin and other krill predator tissues to track their past diets and population movements relative to shifts in climate and the availability of Antarctic krill. Understanding how krill predators were affected by these factors in the past will allow us to better understand how these predators, the krill they depend on, and the Antarctic marine ecosystem as a whole will respond to current challenges such as global climate change and an expanding commercial fishery for Antarctic krill. The project will further the NSF goals of training new generations of scientists and of making scientific discoveries available to the general public. This project will support the cross-institutional training of undergraduate and graduate students in advanced analytical techniques in the fields of ecology and biogeochemistry. In addition, this project includes educational outreach aimed encouraging participation in science careers by engaging K-12 students in scientific issues related to Antarctica, penguins, marine ecology, biogeochemistry, and global climate change. This research will help place recent ecological changes in the Southern Ocean into a larger historical context by examining decadal and millennial-scale shifts in the diets and population movements of Antarctic krill predators (penguins, seals, and squid) in concert with climate variability and commercial harvesting. This will be achieved by coupling advanced stable and radio isotope techniques, particularly compound-specific stable isotope analysis, with unprecedented access to modern, historical, and well-preserved paleo-archives of Antarctic predator tissues dating throughout the Holocene. This approach will allow the project to empirically test if observed shifts in Antarctic predator bulk tissue stable isotope values over the past millennia were caused by climate-driven shifts at the base of the food web in addition to, or rather than, shifts in predator diets due to a competitive release following the historic harvesting of krill eating whale and seals. In addition, this project will track the large-scale abandonment and reoccupation of penguin colonies around Antarctica in response to changes in climate and sea ice conditions over the past several millennia. These integrated field studies and laboratory analyses will provide new insights into the underlying mechanisms that influenced past shifts in the diets and population movements of charismatic krill predators such as penguins. This will allow for improved projections of the ecosystem consequences of future climate change and anthropogenic harvesting scenarios in the Antarctica that are likely to affect the availability of Antarctic krill.", "east": -40.0, "geometry": "POINT(-120 -69)", "instruments": null, "is_usap_dc": true, "keywords": "ANIMAL ECOLOGY AND BEHAVIOR; South Shetland Islands; Penguin; Stable Isotopes; Polar; Ross Sea; USA/NSF; Weddell Sea; AMD; MARINE ECOSYSTEMS; USAP-DC; Antarctica; PENGUINS; Southern Hemisphere; FIELD INVESTIGATION; Amd/Us; Krill; MACROFOSSILS", "locations": "Southern Hemisphere; Ross Sea; South Shetland Islands; Weddell Sea; Polar; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Polito, Michael; Kelton, McMahon; Patterson, William; McCarthy, Matthew", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "USAP-DC", "repositories": "Figshare; NCBI BioProject; USAP-DC", "science_programs": null, "south": -78.0, "title": "Collaborative Research: Investigating Holocene Shifts in the Diets and Paleohistory of Antarctic Krill Predators", "uid": "p0010047", "west": 160.0}]
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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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NSFGEO-NERC Collaborative Research: Effects of a Changing Climate on the Habitat Utilization, Foraging Ecology and Distribution of Crabeater Seals
|
2042032 |
2024-11-27 | Huckstadt, Luis |
|
Part I: Non-technical description: The crabeater seal is the most important predator of Antarctic krill in the western Antarctic Peninsula oceanic waters after the disappearance of large whales due to human hunting 100 years ago. The crabeater seals are expected to consume large quantities of krill due to their high abundance (about 7 million individuals), large body size (about 700 pounds in body weight), high metabolism and a diet specializing in krill. This species depends on sea ice presence all year long, living, reproducing, and diving to feed from that environment, making this marine mammal species a good indicator, or sentinel, of how the Antarctic ecosystem responds to a changing climate. As sea ice has been decreasing in the northern Antarctic Peninsula, this project aims to understand if the species food availability has changed in the last decades in response to environmental changes. In particular, the proposed work will concentrate on known populations of crabeater seals in northern (i.e., warmer, sub-polar) and southern (i.e., colder, polar) Antarctic Peninsula, 450 miles apart, making measurements on the abundance, physiology, metabolic needs and movement of the crabeater populations in both locations. The data will be combined to build models that will quantify the existing differences between northern and southern populations, as well as predict their future change, and compare present-day measurements with those collected by the British Antarctic Survey in the mid-1900s. The project is a collaboration between an international and interdisciplinary team from the United States and United Kingdom, benefitting NSF goals to facilitate collaborative geoscience research projects involving these two countries as well as aligning directly with U.S. Global Change Research Program (USGCRP) to better understand the forces shaping the global environment, both human and natural, and their impacts on society. To further increase polar literacy and education, Principal Investigators will train at least 2 graduate students and several undergraduates across two US institutions, as well as one UK-based post-doctoral researcher. Part II: Technical description: Crabeater seals (Lobodon carcinophaga) are considered an excellent sentinel species through which to examine the effects of a changing climate on the extended Antarctic krill-dependent predator community and the structure of the entire ecosystem of the western Antarctic Peninsula. Over the last forty years, there have been significant changes in the temporal and spatial patterns of primary productivity, and shifts in the population dynamics of Antarctic krill, the dominant mid-trophic level species. The impact of such changes on year-round resident species of crabeater seals (the most important predator of Antarctic krill) is more difficult to understand as they are not associated with breeding colonies where their population fluctuations could be more readily observed. The proposed research is conceived under the premise that environmental change has accentuated the differences between the northern and southern western Antarctic Peninsula crabeater seal populations due to differential reductions in sea-ice and its possible effect on prey availability. To address this question, this research will combine measurements on animal movement, stable isotope analyses, whole-animal physiology, and novel survey technologies (small Unmanned Aircraft Systems, satellite imagery) to build models. The project is a collaboration between an international and interdisciplinary team from the United States and United Kingdom. These studies will be essential to detect past, and project future, changes in the ecology of this species in response to changes in sea ice when comparing present-day measurements with those collected by the British Antarctic Survey in the mid-1900s. To further increase polar literacy and education, Principal Investigators will train at least 2 graduate students and several undergraduates across two US institutions, as well as one UK-based post-doctoral researcher. Students involved with this project will gain invaluable research experience in the lab and will have a unique opportunity to participate in Antarctic fieldwork. 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. | None | None | false | false | |||
Collaborative Research: Harvesting Long-term Survey Data to Develop Zooplankton Distribution Models for the Antarctic Peninsula
|
2203176 2203177 |
2023-08-10 | Cimino, Megan; Steinberg, Deborah | No dataset link provided | 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’s 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's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | 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)) | POINT(-65 -65) | false | false | |||
Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations
|
1840941 1840927 1840949 |
2021-06-25 | Record, Nicholas ; Weissburg, Marc; Murphy, David |
|
Antarctic krill (Euphausia superba) are an ecologically important component of the Southern Ocean's food web, yet little is known about their behavior in response to many features of their aquatic environment. This project will improve understanding of krill swimming and schooling behavior by examining individual responses to light levels, water flow rates, the presence of attractive and repulsive chemical cues. Flow, light and chemical conditions will be controlled and altered in specialized tanks outfitted with high speed digital camera systems so that individual krill responses to these factors can be measured in relevant schooling settings. This analysis will be used to predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones). Such information will then be used to improve models that estimate the energetic costs of behaviors associated with different types of environments. Linking individual behavior to those of larger krill aggregations will also improve acoustic assessments of krill densities. Understanding the capacity of krill to respond to environmental perturbations will improve our understanding of the ecology of high latitude ecosystems and provide relevant information for the management of krill fisheries. The project will support graduate and undergraduate students and provide training for as post-doctoral associate. Curricular materials and public engagement activities will be based on the project's aims and activities. Project investigators will share model results and predictions of krill movements and school structure with experts interested in krill conservation and management. The project will use horizontal and vertical laminar flow tunnels to examine krill behavior under naturally relevant conditions. Horizontal (1-10 cm per second) and vertical (1-3 mm per second) flow velocities mimic naturally relevant current patterns, while light levels and spectral quality will be varied from complete darkness to intensities experienced across the depth range inhabited by krill. Attractive phytoplankton odor will be created by dosing the flumes to obtain background chlorophyll a levels approximating average and bloom conditions, while repulsive cues will be generated from penguin guano. Behavior of individual krill in all conditions will be video recorded with cameras visualizing X-Y and Y-Z planes, and 3D movements will be reconstructed by video motion analysis at a 5 Hz sampling rate. The distribution of horizontal and vertical swimming angles and velocities will be used to create an individual based model (IBM) of krill movement in response to each condition, where krill behavior at each model time step is based on random draws from the velocity and angular distributions. Since krill commonly travel in groups, further experiments will examine the behavior of small krill schools in these same conditions to further parameterize variables such as individual spacing. Researchers will examine krill aggregation structure from 3D video records of krill swimming in a specially designed kriesel tank, and compute nearest neighbor distances (NND) and correlations of swimming angles among individuals within the aggregation. Krill movements in the IBM will be constrained to adhere to observed NND and angular correlations. Large scale oceanographic models will be used to define spatial environments in which the modelled krill will be allowed to move using simulated schools of 1000-100,000 krill. Model output will include the school swimming speed, direction and structure (packing density, NND). Researchers will compare available acoustic data sets of krill schools in measured flow and phytoplankton abundance to evaluate the model predictions. 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. | None | None | false | false | |||
The consequences of maternal effects and environmental conditions on offspring success in an Antarctic predator
|
1640481 |
2021-06-24 | Rotella, Jay; Garrott, Robert | The consequences of variation in maternal effects on the ability of offspring to survive, reproduce, and contribute to future generations has rarely been evaluated in polar marine mammals. This is due to the challenges of having adequate data on the survival and reproductive outcomes for numerous offspring born in diverse environmental conditions to mothers with known and diverse sets of traits. This research project will evaluate the survival and reproductive consequences of early-life environmental conditions and variation in offspring traits that are related to maternal attributes (e.g. birth date, birth mass, weaning mass, and swimming behavior) in a population of individually marked Weddell seals in the Ross Sea. Results will allow an evaluation of the importance of different types of individuals to the Weddell Seal's population sustenance and better assessments of factors contributing to the population dynamics in the past and into the future. The project allows for documentation of specific individual seal's unique histories and provisioning of such information to the broader science community that seeks to study these seals, educating graduate and undergraduate ecology students, producing science-outreach videos, and developing a multi-media iBook regarding the project's science activities, goals and outcomes. The research has the broad objective of evaluating the importance of diverse sources of variation in pup characteristics to survival and reproduction. The study will (1) record birth dates, body mass metrics, and time spent in the water for multiple cohorts of pups (born to known-age mothers) in years with different environmental conditions; (2) mark all pups born in the greater Erebus Bay study area and conduct repeated surveys to monitor fates of these pups through the age of first reproduction; and (3) use analyses specifically designed for data on animals that are individually marked and resighted each year to evaluate hypotheses about how variation in birth dates, pup mass, time spent in the water by pups, and environmental conditions relate to variation in early-life survival and recruitment for those pups. The research will also allow the documentation of the population status that will contribute to the unique long-term database for the local population that dates back to 1978. | POLYGON((162 -75,162.8 -75,163.6 -75,164.4 -75,165.2 -75,166 -75,166.8 -75,167.6 -75,168.4 -75,169.2 -75,170 -75,170 -75.38,170 -75.76,170 -76.14,170 -76.52,170 -76.9,170 -77.28,170 -77.66,170 -78.03999999999999,170 -78.42,170 -78.8,169.2 -78.8,168.4 -78.8,167.6 -78.8,166.8 -78.8,166 -78.8,165.2 -78.8,164.4 -78.8,163.6 -78.8,162.8 -78.8,162 -78.8,162 -78.42,162 -78.03999999999999,162 -77.66,162 -77.28,162 -76.9,162 -76.52,162 -76.14,162 -75.76,162 -75.38,162 -75)) | POINT(166 -76.9) | false | false | ||||
Collaborative Research: Investigating Holocene Shifts in the Diets and Paleohistory of Antarctic Krill Predators
|
1826712 1443386 1443585 1443424 |
2019-08-08 | Polito, Michael; Kelton, McMahon; Patterson, William; McCarthy, Matthew | The Antarctic marine ecosystem is highly productive and supports a diverse range of ecologically and commercially important species. A key species in this ecosystem is Antarctic krill, which in addition to being commercially harvested, is the principle prey of a wide range of marine organisms including penguins, seals and whales. The aim of this study is to use penguins and other krill predators as sensitive indicators of past changes in the Antarctic marine food web resulting from climate variability and the historic harvesting of seals and whales by humans. Specifically this study will recover and analyze modern (<20 year old), historic (20-200 year old) and ancient (200-10,000 year old) penguin and other krill predator tissues to track their past diets and population movements relative to shifts in climate and the availability of Antarctic krill. Understanding how krill predators were affected by these factors in the past will allow us to better understand how these predators, the krill they depend on, and the Antarctic marine ecosystem as a whole will respond to current challenges such as global climate change and an expanding commercial fishery for Antarctic krill. The project will further the NSF goals of training new generations of scientists and of making scientific discoveries available to the general public. This project will support the cross-institutional training of undergraduate and graduate students in advanced analytical techniques in the fields of ecology and biogeochemistry. In addition, this project includes educational outreach aimed encouraging participation in science careers by engaging K-12 students in scientific issues related to Antarctica, penguins, marine ecology, biogeochemistry, and global climate change. This research will help place recent ecological changes in the Southern Ocean into a larger historical context by examining decadal and millennial-scale shifts in the diets and population movements of Antarctic krill predators (penguins, seals, and squid) in concert with climate variability and commercial harvesting. This will be achieved by coupling advanced stable and radio isotope techniques, particularly compound-specific stable isotope analysis, with unprecedented access to modern, historical, and well-preserved paleo-archives of Antarctic predator tissues dating throughout the Holocene. This approach will allow the project to empirically test if observed shifts in Antarctic predator bulk tissue stable isotope values over the past millennia were caused by climate-driven shifts at the base of the food web in addition to, or rather than, shifts in predator diets due to a competitive release following the historic harvesting of krill eating whale and seals. In addition, this project will track the large-scale abandonment and reoccupation of penguin colonies around Antarctica in response to changes in climate and sea ice conditions over the past several millennia. These integrated field studies and laboratory analyses will provide new insights into the underlying mechanisms that influenced past shifts in the diets and population movements of charismatic krill predators such as penguins. This will allow for improved projections of the ecosystem consequences of future climate change and anthropogenic harvesting scenarios in the Antarctica that are likely to affect the availability of Antarctic krill. | POLYGON((-180 -60,-166 -60,-152 -60,-138 -60,-124 -60,-110 -60,-96 -60,-82 -60,-68 -60,-54 -60,-40 -60,-40 -61.8,-40 -63.6,-40 -65.4,-40 -67.2,-40 -69,-40 -70.8,-40 -72.6,-40 -74.4,-40 -76.2,-40 -78,-54 -78,-68 -78,-82 -78,-96 -78,-110 -78,-124 -78,-138 -78,-152 -78,-166 -78,180 -78,178 -78,176 -78,174 -78,172 -78,170 -78,168 -78,166 -78,164 -78,162 -78,160 -78,160 -76.2,160 -74.4,160 -72.6,160 -70.8,160 -69,160 -67.2,160 -65.4,160 -63.6,160 -61.8,160 -60,162 -60,164 -60,166 -60,168 -60,170 -60,172 -60,174 -60,176 -60,178 -60,-180 -60)) | POINT(-120 -69) | false | false |