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  • Southern Ocean  (2)
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  • 1
    Publication Date: 2024-03-12
    Description: Zooplankton plays a notable role in ocean biogeochemical cycles. However, it is often simulated as one generic group and top closure term in ocean biogeochemical models. This study presents the description of three zooplankton functional types (zPFTs, micro‐, meso‐ and macrozooplankton) in the ocean biogeochemical model FESOM‐REcoM. In the presented model, microzooplankton is a fast‐growing herbivore group, mesozooplankton is another major consumer of phytoplankton, and macrozooplankton is a slow‐growing group with a low temperature optimum. Meso‐ and macrozooplankton produce fast‐sinking fecal pellets. With three zPFTs, the annual mean zooplankton biomass increases threefold to 210 Tg C. The new food web structure leads to a 25% increase in net primary production and a 10% decrease in export production globally. Consequently, the export ratio decreases from 17% to 12% in the model. The description of three zPFTs reduces model mismatches with observed dissolved inorganic nitrogen and chlorophyll concentrations in the South Pacific and the Arctic Ocean, respectively. Representation of three zPFTs also strongly affects phytoplankton phenology: Fast nutrient recycling by zooplankton sustains higher chlorophyll concentrations in summer and autumn. Additional zooplankton grazing delays the start of the phytoplankton bloom by 3 weeks and controls the magnitude of the bloom peak in the Southern Ocean. As a result, the system switches from a light‐controlled Sverdrup system to a dilution‐controlled Behrenfeld system. Overall, the results suggest that representation of multiple zPFTs is important to capture underlying processes that may shape the response of ecosystems and ecosystem services to on‐going and future environmental change in model projections.
    Description: Plain Language Summary: Zooplankton plays an important role in the ocean food web and biogeochemical cycles. However, it is often represented in very simple forms in mathematical models that are, for example, used to investigate how marine primary productivity will react to climate change. To understand how these models would change when more complicated formulations for zooplankton are used, we present here a new version of the model with three (instead of only one) zooplankton groups. We find that this more complicated representation leads to higher zooplankton biomass, which is closer to observations, and this stimulates growth of phytoplankton since zooplankton also returns nutrients into the system. In addition, zooplankton grazing controls the seasonal cycle of phytoplankton, as we show for one example in the Southern Ocean.
    Description: Key Points: Nutrient recycling by zooplankton stimulates net primary production in the biogeochemical model REcoM‐2. Modeling zooplankton functional types (zPFTs) leads to a switch from a light‐controlled Sverdrup system to a dilution‐controlled Behrenfeld system. Implementing multiple zPFTs improves the modeled zooplankton biomass and zooplankton‐mediated biogeochemical fluxes.
    Description: Helmholtz Young Investigator Group Marine Carbon and Ecosystem Feedbacks in the Earth System [MarESys]
    Description: https://doi.org/10.1594/PANGAEA.779970
    Description: https://doi.org/10.1594/PANGAEA.785501
    Description: https://doi.org/10.1594/PANGAEA.777398
    Description: https://www.nodc.noaa.gov/OC5/woa18/woa18data.html
    Description: http://sites.science.oregonstate.edu/ocean.productivity/index.php
    Description: https://doi.pangaea.de/10.1594/PANGAEA.942192
    Keywords: ddc:577.7 ; Southern Ocean ; zooplankton ; ocean food web ; biogeochemical cycles ; modeling
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Endangered Species Research 30 (2016): 239-253, doi:10.3354/esr00739.
    Description: Distribution and movement patterns of Antarctic blue whales Balaenoptera musculus intermedia at large temporal and spatial scales are still poorly understood. The objective of this study was to explore spatio-temporal distribution patterns of Antarctic blue whales in the Atlantic sector of the Southern Ocean, using passive acoustic monitoring data. Multi-year data were collected between 2008 and 2013 by 11 recorders deployed in the Weddell Sea and along the Greenwich meridian. Antarctic blue whale Z-calls were detected via spectrogram cross-correlation. A Blue Whale Index was developed to quantify the proportion of time during which acoustic energy from Antarctic blue whales dominated over background noise. Our results show that Antarctic blue whales were acoustically present year-round, with most call detections between January and April. During austral summer, the number of detected calls peaked synchronously throughout the study area in most years, and hence, no directed meridional movement pattern was detectable. During austral winter, vocalizations were recorded at latitudes as high as 69°S, with sea ice cover exceeding 90%, suggesting that some Antarctic blue whales overwinter in Antarctic waters. Polynyas likely serve as an important habitat for baleen whales during austral winter, providing food and reliable access to open water for breathing. Overall, our results support increasing evidence of a complex and non-obligatory migratory behavior of Antarctic blue whales, potentially involving temporally and spatially dynamic migration routes and destinations, as well as variable timing of migration to and from the feeding grounds.
    Keywords: Passive acoustic monitoring ; Antarctic blue whale ; Balaenoptera musculus intermedia ; Baleen whale migration ; Southern Ocean
    Repository Name: Woods Hole Open Access Server
    Type: Article
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