Andersson Andreas

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Andersson
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  • Article
    The challenges of detecting and attributing ocean acidification impacts on marine ecosystems
    (Oxford University Press, 2020-08-09) Doo, Steve ; Kealoha, Andrea K. ; Andersson, Andreas ; Cohen, Anne L. ; Hicks, Tacey L. ; Johnson, Zackary I. ; Long, Matthew H. ; McElhany, Paul ; Mollica, Nathaniel R. ; Shamberger, Kathryn E. F. ; Silbiger, Nyssa J. ; Takeshita, Yuichiro ; Busch, D. Shallin
    A substantial body of research now exists demonstrating sensitivities of marine organisms to ocean acidification (OA) in laboratory settings. However, corresponding in situ observations of marine species or ecosystem changes that can be unequivocally attributed to anthropogenic OA are limited. Challenges remain in detecting and attributing OA effects in nature, in part because multiple environmental changes are co-occurring with OA, all of which have the potential to influence marine ecosystem responses. Furthermore, the change in ocean pH since the industrial revolution is small relative to the natural variability within many systems, making it difficult to detect, and in some cases, has yet to cross physiological thresholds. The small number of studies that clearly document OA impacts in nature cannot be interpreted as a lack of larger-scale attributable impacts at the present time or in the future but highlights the need for innovative research approaches and analyses. We summarize the general findings in four relatively well-studied marine groups (seagrasses, pteropods, oysters, and coral reefs) and integrate overarching themes to highlight the challenges involved in detecting and attributing the effects of OA in natural environments. We then discuss four potential strategies to better evaluate and attribute OA impacts on species and ecosystems. First, we highlight the need for work quantifying the anthropogenic input of CO2 in coastal and open-ocean waters to understand how this increase in CO2 interacts with other physical and chemical factors to drive organismal conditions. Second, understanding OA-induced changes in population-level demography, potentially increased sensitivities in certain life stages, and how these effects scale to ecosystem-level processes (e.g. community metabolism) will improve our ability to attribute impacts to OA among co-varying parameters. Third, there is a great need to understand the potential modulation of OA impacts through the interplay of ecology and evolution (eco–evo dynamics). Lastly, further research efforts designed to detect, quantify, and project the effects of OA on marine organisms and ecosystems utilizing a comparative approach with long-term data sets will also provide critical information for informing the management of marine ecosystems.
  • Dataset
    Annual linear extension, skeletal density, and calcification rate data from coral cores collected across Bermuda in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2020-08-25) Courtney, Travis ; Andersson, Andreas
    Annual linear extension, skeletal density, and calcification rate data are reported for coral cores collected from across Bermuda in 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/821212
  • Dataset
    Spatial surveys of carbonate chemistry conducted in Kaneohe Bay, Hawaii from small boats during 2015 to 2017
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-05-08) Andersson, Andreas
    General study design: In this study, seawater carbonate chemistry samples were collected across a spatial array of stations across the barrier reef flat of Kāneʻohe Bay, Hawaiʻi. The study was designed to assess spatial variability in carbonate chemistry across the barrier reef flat during the 2015 fall coral bleaching event and during a year of recovery following the coral bleaching. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/765037
  • Dataset
    Carbon export from San Dieguito Lagoon from samples for seawater carbonate biogeochemistry between April 2014 and January 2015
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-05-08) Andersson, Andreas
    General study design: In this study, samples for seawater carbonate biogeochemistry were collected in the San Dieguito Lagoon (SDL) over the course of a year, both at the mouth of the lagoon during ebb tide and at stations spatially distributed across the lagoon at high tide. The study was designed to assess the lateral carbon flux from SDL to the coastal ocean, and how this changed under different environmental conditions. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/765108
  • Dataset
    Spatial surveys of carbonate chemistry in Heron Reef, Great Barrier Reef, Australia
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-11-15) Kekuewa, Samuel ; Cyronak, Tyler ; Andersson, Andreas
    Seawater samples and environmental measurements were collected across the Heron Island coral reef during three reef-scale surveys in the morning and evening in October of 2015. Seawater samples were analyzed for dissolved inorganic carbon chemistry parameters. The study was designed to characterize the natural spatio-temporal variability of carbonate chemistry and environmental parameters across the entire coral reef system. The spatial surveys were complemented with autonomous sensors making high frequency measurements at three locations. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/839261
  • Dataset
    Monthly cross-shore transects of biogeochemical properties in La Jolla, CA
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-05-02) Kekuewa, Samuel ; Andersson, Andreas
    These data result from monthly cross-shore transects of biogeochemical properties in La Jolla, CA. In this study, discrete seawater samples were collected between 0-40m on a monthly transect extending from the coastline to ~2km offshore in La Jolla, CA. Seawater samples were collected for analysis of dissolved inorganic carbon chemistry parameters and dissolved inorganic nutrient concentrations. The study was designed to characterize the biogeochemical near-shore spatiotemporal variability in the Southern California Bight, and in particular, the influence of seasonal upwelling. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/839175