{"dp_type": "Project", "free_text": "ANIMAL ECOLOGY AND BEHAVIOR"}
[{"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": "Macrozooplankton are key contributors to marine ecosystem function, and combining empirical sampling and modeling will enable prediction of changing distribution patterns. Challenges in understanding alterations in distributions of these organisms are magnified in the Antarctic Peninsula (AP) ecosystem where ocean warming and sea-ice decline are assumed to drive range shifts in dominant taxa (e.g., krill, pteropods and salps), but functional relationships between zooplankton species distributions and environmental conditions remain uncertain. Therefore, we propose to leverage three decades of zooplankton abundance data and predator (seabird, whale and seal) sighting data from two main longterm survey programs to develop and evaluate predictive Zooplankton Distribution Models (ZDMs) along the AP (at least 60\u00b0 S to 70\u00b0 S, ~400,000 km2). To do this, we will adapt a successful machine learning modeling approach from the California Current ecosystem that utilizes bathymetric and oceanographic data to predict zooplankton species distributions. Our main outputs will be 1) a description of species spatiotemporal trends and abundance patterns, 2) a summary of overlap in zooplankton species and predator species distributions, and 3) the creation of a zooplankton mapping tool allowing for public viewing of past and future ZDM predictions.", "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": "1840949 Fields, David; 1840941 Murphy, David; 1840927 Weissburg, Marc", "bounds_geometry": null, "dataset_titles": null, "datasets": null, "date_created": "Fri, 25 Jun 2021 00:00:00 GMT", "description": "Overview: This project has two goals. The first is to investigate the responses of Antarctic krill Euphasia superba to flow and chemical stimuli indicating food and predation risk, the interaction of these cues, and how krill responses to these cues depend on the photic environment. This project will will determine threshold responses, the ability of krill to orient to horizontal and vertical flows, whether chemical cues polarize responses to flow and whether this differs with attractive vs. aversive cues, and how these responses are affected by light intensity. This will determine how and under what specific conditions the flow, chemical and light environment can either attract or repel krill, and whether krill can use flows to transport themselves towards beneficial environments and away from risky ones. The second goal is to examine whether the behavioral responses of individual krill can be scaled up to predict the properties of aggregations such as density, coherence, swimming speed and direction. This project will use a modeling approach to determine properties of krill aggregations in defined oceanographic conditions characteristic of the southern ocean to examine links between individual behavior and aggregation properties in physically realistic scenarios.\r\n\r\nIntellectual Merit:\r\nKrill are an ecologically important component of all high latitude food webs and constitute a growing fishery yet we know very little about their behavior in response to environmentally relevant chemical, flow and photic conditions. Understanding krill demography can be enabled by examining individual responses to light, attractive (food related) and aversive (predator related) chemical cues, flow, light and their interactions. This analysis can be used to define/predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones), better parameterize models of DVM, and krill energetics. Linking individual behavior to aggregations will improve our ability to use passive acoustic sampling of krill to understand their biology by providing insight into what krill are doing in aggregations that display particular features, and help define useful properties to characterize aggregations. The role of biology vs. physical forcing in determining zooplankton distributions, and the relationship between individual behavior and emergent group properties are fundamental questions.\r\n\r\nBroader Impacts:\r\nAntarctic krill (Eupahusia superba) are dominant members of the Southern Ocean. They are a critical resource for higher predators, are considered an ecosystem engineer, are the most highly linked species in Antarctic food webs, exert top down control on phytoplankton abundance and represent the largest Antarctic fishery. This project will therefore impact our understanding of the ecology of high latitude systems, their capacity to respond to environmental perturbations (like climate change), and krill fisheries management. Project PIs will engage conservation and management experts to vet and use the developed software tools, as well as to share results. The project will support one post-doctoral associate to be trained in a highly interdisciplinary environment, and provide graduate and undergraduate research opportunities in ocean sciences, biology and engineering. Products will include open source code for behavioral modeling, K12 curricular materials based on these models as well as digital archives of krill behavior, and a variety of public engagement activities.", "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 Integrated System Science; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Record, Nicholas ; Weissburg, Marc", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repositories": null, "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": null, "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 Erebus Bay population of Weddell seals in the Ross Sea of Antarctica is the most southerly breeding population of mammal in the world, closely associated with persistent shore-fast ice, and one that has been intensively studied since 1969. The resulting long-term database, which includes data for over 25,000 marked individuals, contains detailed population information that provides an excellent opportunity to study linkages between environmental conditions and demographic processes in the Antarctic. The study population is of special interest as the Ross Sea is one of the most productive areas of the Southern Ocean and one of the most pristine marine environments on the planet. The study provides long-term demographic data for individual seals", "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": "1443585 Polito, Michael; 1826712 McMahon, Kelton; 1443386 Emslie, Steven; 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; The rise and fall of an ancient Adelie penguin \u0027supercolony\u0027 at Cape Adare, Antarctica", "datasets": [{"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; Maiti, Kanchan; McMahon, Kelton; 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": "601232", "doi": "10.15784/601232", "keywords": "Amino Acids; Antarctica; Antarctic Peninsula; Biota; Isotope Data; Nitrogen Isotopes; Oceans; Penguin; Southern Ocean; Stable Isotope Analysis", "people": "McMahon, Kelton; Polito, Michael", "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": "601364", "doi": "10.15784/601364", "keywords": "Antarctica; Antarctic Peninsula; Arctocephalus Gazella; Carbon; Holocene; Nitrogen; Paleoecology; Penguin; Pygoscelis Spp.; Stable Isotope Analysis; Weddell Sea", "people": "Polito, Michael; Kalvakaalva, Rohit; Herman, Rachael; Clucas, Gemma", "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": "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", "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": "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"}, {"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": "601263", "doi": "10.15784/601263", "keywords": "Abandoned Colonies; Antarctica; Holocene; Penguin; Ross Sea; Stable Isotope Analysis", "people": "Emslie, Steven; Kristan, Allyson; Patterson, William", "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": "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", "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": "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": "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; 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": "601760", "doi": "10.15784/601760", "keywords": "Adelie Penguin; Amino Acids; Antarctica; Antarctic Peninsula; Ross Sea; Stable Isotope Analysis; Trophic Position", "people": "McCarthy, Matthew; Michelson, Chantel; Polito, Michael; Wonder, Michael; Emslie, Steven; Patterson, William; 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": "601374", "doi": "10.15784/601374", "keywords": "Adelie Penguin; Antarctica; Cape Irizar; Drygalski Ice Tongue; Ross Sea; Stable Isotopes", "people": "Emslie, Steven", "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"}], "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.\u003cbr/\u003e\u003cbr/\u003eThis 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; Emslie, Steven; 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 | |
---|---|---|---|---|---|---|---|---|---|---|
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 | Macrozooplankton are key contributors to marine ecosystem function, and combining empirical sampling and modeling will enable prediction of changing distribution patterns. Challenges in understanding alterations in distributions of these organisms are magnified in the Antarctic Peninsula (AP) ecosystem where ocean warming and sea-ice decline are assumed to drive range shifts in dominant taxa (e.g., krill, pteropods and salps), but functional relationships between zooplankton species distributions and environmental conditions remain uncertain. Therefore, we propose to leverage three decades of zooplankton abundance data and predator (seabird, whale and seal) sighting data from two main longterm survey programs to develop and evaluate predictive Zooplankton Distribution Models (ZDMs) along the AP (at least 60° S to 70° S, ~400,000 km2). To do this, we will adapt a successful machine learning modeling approach from the California Current ecosystem that utilizes bathymetric and oceanographic data to predict zooplankton species distributions. Our main outputs will be 1) a description of species spatiotemporal trends and abundance patterns, 2) a summary of overlap in zooplankton species and predator species distributions, and 3) the creation of a zooplankton mapping tool allowing for public viewing of past and future ZDM predictions. | 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
|
1840949 1840941 1840927 |
2021-06-25 | Record, Nicholas ; Weissburg, Marc | No dataset link provided | Overview: This project has two goals. The first is to investigate the responses of Antarctic krill Euphasia superba to flow and chemical stimuli indicating food and predation risk, the interaction of these cues, and how krill responses to these cues depend on the photic environment. This project will will determine threshold responses, the ability of krill to orient to horizontal and vertical flows, whether chemical cues polarize responses to flow and whether this differs with attractive vs. aversive cues, and how these responses are affected by light intensity. This will determine how and under what specific conditions the flow, chemical and light environment can either attract or repel krill, and whether krill can use flows to transport themselves towards beneficial environments and away from risky ones. The second goal is to examine whether the behavioral responses of individual krill can be scaled up to predict the properties of aggregations such as density, coherence, swimming speed and direction. This project will use a modeling approach to determine properties of krill aggregations in defined oceanographic conditions characteristic of the southern ocean to examine links between individual behavior and aggregation properties in physically realistic scenarios. Intellectual Merit: Krill are an ecologically important component of all high latitude food webs and constitute a growing fishery yet we know very little about their behavior in response to environmentally relevant chemical, flow and photic conditions. Understanding krill demography can be enabled by examining individual responses to light, attractive (food related) and aversive (predator related) chemical cues, flow, light and their interactions. This analysis can be used to define/predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones), better parameterize models of DVM, and krill energetics. Linking individual behavior to aggregations will improve our ability to use passive acoustic sampling of krill to understand their biology by providing insight into what krill are doing in aggregations that display particular features, and help define useful properties to characterize aggregations. The role of biology vs. physical forcing in determining zooplankton distributions, and the relationship between individual behavior and emergent group properties are fundamental questions. Broader Impacts: Antarctic krill (Eupahusia superba) are dominant members of the Southern Ocean. They are a critical resource for higher predators, are considered an ecosystem engineer, are the most highly linked species in Antarctic food webs, exert top down control on phytoplankton abundance and represent the largest Antarctic fishery. This project will therefore impact our understanding of the ecology of high latitude systems, their capacity to respond to environmental perturbations (like climate change), and krill fisheries management. Project PIs will engage conservation and management experts to vet and use the developed software tools, as well as to share results. The project will support one post-doctoral associate to be trained in a highly interdisciplinary environment, and provide graduate and undergraduate research opportunities in ocean sciences, biology and engineering. Products will include open source code for behavioral modeling, K12 curricular materials based on these models as well as digital archives of krill behavior, and a variety of public engagement activities. | 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 Erebus Bay population of Weddell seals in the Ross Sea of Antarctica is the most southerly breeding population of mammal in the world, closely associated with persistent shore-fast ice, and one that has been intensively studied since 1969. The resulting long-term database, which includes data for over 25,000 marked individuals, contains detailed population information that provides an excellent opportunity to study linkages between environmental conditions and demographic processes in the Antarctic. The study population is of special interest as the Ross Sea is one of the most productive areas of the Southern Ocean and one of the most pristine marine environments on the planet. The study provides long-term demographic data for individual seals | 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
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1443585 1826712 1443386 1443424 |
2019-08-08 | Polito, Michael; Emslie, Steven; 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.<br/><br/>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 |