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2. Upwelling‐level acidification and pH/pCO2 variability moderate effects of ocean acidification on brain gene expression in the temperate surfperch, Embiotoca jacksoni

Author

Toy, Jason A, Kroeker, Kristy J, Logan, Cheryl A, Takeshita, Yuichiro, Longo, Gary C, and Bernardi, Giacomo

Subjects
Life Below Water, Animals, Brain, Carbon Dioxide, Fishes, Gene Expression, Hydrogen-Ion Concentration, Oceans and Seas, Perciformes, Seawater, climate change, differential gene expression, environmental variability, embiotocidae, global change, RNA-seq, Biological Sciences, Evolutionary Biology
Abstract

Acidification-induced changes in neurological function have been documented in several tropical marine fishes. Here, we investigate whether similar patterns of neurological impacts are observed in a temperate Pacific fish that naturally experiences regular and often large shifts in environmental pH/pCO2 . In two laboratory experiments, we tested the effect of acidification, as well as pH/pCO2 variability, on gene expression in the brain tissue of a common temperate kelp forest/estuarine fish, Embiotoca jacksoni. Experiment 1 employed static pH treatments (target pH = 7.85/7.30), while Experiment 2 incorporated two variable treatments that oscillated around corresponding static treatments with the same mean (target pH = 7.85/7.70) in an eight-day cycle (amplitude ± 0.15). We found that patterns of global gene expression differed across pH level treatments. Additionally, we identified differential expression of specific genes and enrichment of specific gene sets (GSEA) in comparisons of static pH treatments and in comparisons of static and variable pH treatments of the same mean pH. Importantly, we found that pH/pCO2 variability decreased the number of differentially expressed genes detected between high and low pH treatments, and that interindividual variability in gene expression was greater in variable treatments than static treatments. These results provide important confirmation of neurological impacts of acidification in a temperate fish species and, critically, that natural environmental variability may mediate the impacts of ocean acidification.

Published
2022

3. Coast-wide evidence of low pH amelioration by seagrass ecosystems.

Author

Ricart, Aurora M, Ward, Melissa, Hill, Tessa M, Sanford, Eric, Kroeker, Kristy J, Takeshita, Yuichiro, Merolla, Sarah, Shukla, Priya, Ninokawa, Aaron T, Elsmore, Kristen, and Gaylord, Brian

Subjects
Zosteraceae, Carbon, Ecosystem, Seawater, Hydrogen-Ion Concentration, Zostera marina, buffer, carbon cycling, carbonate chemistry, mitigation, ocean acidification, photosynthesis, submerged aquatic vegetation, Zostera marina, Life Below Water, Environmental Sciences, Biological Sciences, Ecology
Abstract

Global-scale ocean acidification has spurred interest in the capacity of seagrass ecosystems to increase seawater pH within crucial shoreline habitats through photosynthetic activity. However, the dynamic variability of the coastal carbonate system has impeded generalization into whether seagrass aerobic metabolism ameliorates low pH on physiologically and ecologically relevant timescales. Here we present results of the most extensive study to date of pH modulation by seagrasses, spanning seven meadows (Zostera marina) and 1000 km of U.S. west coast over 6 years. Amelioration by seagrass ecosystems compared to non-vegetated areas occurred 65% of the time (mean increase 0.07 ± 0.008 SE). Events of continuous elevation in pH within seagrass ecosystems, indicating amelioration of low pH, were longer and of greater magnitude than opposing cases of reduced pH or exacerbation. Sustained elevations in pH of >0.1, comparable to a 30% decrease in [H+ ], were not restricted only to daylight hours but instead persisted for up to 21 days. Maximal pH elevations occurred in spring and summer during the seagrass growth season, with a tendency for stronger effects in higher latitude meadows. These results indicate that seagrass meadows can locally alleviate low pH conditions for extended periods of time with important implications for the conservation and management of coastal ecosystems.

Published
2021

5. Multicenter, single-blind, randomized controlled study of the efficacy and safety of favipiravir and nafamostat mesilate in patients with COVID-19 pneumonia

Author

Ikeda, Mahoko, Okugawa, Shu, Kashiwabara, Kosuke, Moritoyo, Takashi, Kanno, Yoshiaki, Jubishi, Daisuke, Hashimoto, Hideki, Okamoto, Koh, Tsushima, Kenji, Uchida, Yasuki, Mitsumura, Takahiro, Igari, Hidetoshi, Tsutsumi, Takeya, Araoka, Hideki, Yatera, Kazuhiro, Yamamoto, Yoshihiro, Nakamura, Yuki, Otani, Amato, Yamashita, Marie, Wakimoto, Yuji, Shinohara, Takayuki, Adachi-Katayama, Maho, Oyabu, Tatsunori, Kanematsu, Aoi, Harada, Sohei, Takeshita, Yuichiro, Nakano, Yasutaka, Miyazaki, Yasunari, Sakao, Seiichiro, Saito, Makoto, Ogura, Sho, Yamasaki, Kei, Kawasuji, Hitoshi, Hataji, Osamu, Inoue, Jun-Ichiro, Seto, Yasuyuki, and Moriya, Kyoji

Published
2023
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8. Assessment of a pH optode for oceanographic moored and profiling applications.

Author

Wirth, Taylor, Takeshita, Yuichiro, Davis, Benjamin, Park, Ellen, Hu, Irene, Huffard, Christine L., Johnson, Kenneth S., Nicholson, David, Staudinger, Christoph, Warren, Joseph K., and Martz, Todd

Subjects
OPTICAL sensors, OPTODES, CARBON dioxide, DETECTORS, OCEAN
Abstract

As global ocean monitoring programs and marine carbon dioxide removal methods expand, so does the need for scalable biogeochemical sensors. Currently, pH sensors are widely used to measure the ocean carbonate system on a variety of autonomous platforms. This paper assesses a commercially available optical pH sensor (optode) distributed by PyroScience GmbH for oceanographic applications. Results from this study show that the small, solid‐state pH optode demonstrates a precision of 0.001 pH and relative accuracy of 0.01 pH using an improved calibration routine outlined in the manuscript. A consistent pressure coefficient of 0.029 pH/1000 dbar is observed across multiple pH optodes tested in this study. The response time is investigated for standard and fast‐response versions over a range of temperatures and flow rates. Field deployments include direct comparison to ISFET‐based pH sensor packages for both moored and profiling platforms where the pH optodes experience sensor‐specific drift rates up to 0.006 pH d−1. In its current state, the pH optode potentially offers a viable and scalable option for short‐term field deployments and laboratory mesocosm studies, but not for long term deployments with no possibility for recalibration like on profiling floats. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Expected limits on the ocean acidification buffering potential of a temperate seagrass meadow.

Author

Koweek, David A, Zimmerman, Richard C, Hewett, Kathryn M, Gaylord, Brian, Giddings, Sarah N, Nickols, Kerry J, Ruesink, Jennifer L, Stachowicz, John J, Takeshita, Yuichiro, and Caldeira, Ken

Subjects
Zosteraceae, Carbon Dioxide, Ecosystem, Seasons, Seawater, Hydrogen-Ion Concentration, Models, Biological, California, Tomales Bay, Zostera marina, aquatic vegetation, carbon cycling, carbonate chemistry, estuaries, mitigation, ocean acidification, seagrass, Life Below Water, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Ecology
Abstract

Ocean acidification threatens many marine organisms, especially marine calcifiers. The only global-scale solution to ocean acidification remains rapid reduction in CO2 emissions. Nevertheless, interest in localized mitigation strategies has grown rapidly because of the recognized threat ocean acidification imposes on natural communities, including ones important to humans. Protection of seagrass meadows has been considered as a possible approach for localized mitigation of ocean acidification due to their large standing stocks of organic carbon and high productivity. Yet much work remains to constrain the magnitudes and timescales of potential buffering effects from seagrasses. We developed a biogeochemical box model to better understand the potential for a temperate seagrass meadow to locally mitigate the effects of ocean acidification. Then we parameterized the model using data from Tomales Bay, an inlet on the coast of California, USA which supports a major oyster farming industry. We conducted a series of month-long model simulations to characterize processes that occur during summer and winter. We found that average pH in the seagrass meadows was typically within 0.04 units of the pH of the primary source waters into the meadow, although we did find occasional periods (hours) when seagrass metabolism may modify the pH by up to ±0.2 units. Tidal phasing relative to the diel cycle modulates localized pH buffering within the seagrass meadow such that maximum buffering occurs during periods of the year with midday low tides. Our model results suggest that seagrass metabolism in Tomales Bay would not provide long-term ocean acidification mitigation. However, we emphasize that our model results may not hold in meadows where assumptions about depth-averaged net production and seawater residence time within the seagrass meadow differ from our model assumptions. Our modeling approach provides a framework that is easily adaptable to other seagrass meadows in order to evaluate the extent of their individual buffering capacities. Regardless of their ability to buffer ocean acidification, seagrass meadows maintain many critically important ecosystem goods and services that will be increasingly important as humans increasingly affect coastal ecosystems.

Published
2018

11. Uncertainty sources for measurable ocean carbonate chemistry variables

Author

National Science Foundation (US), National Aeronautics and Space Administration (US), National Oceanic and Atmospheric Administration (US), Commonwealth Scientific and Industrial Research Organisation (Australia), University of South Florida, Miami University, Agencia Estatal de Investigación (España), Cooperative Institute for Climate, Ocean, and Ecosystem Studies, Cooperative Institute For Marine And Atmospheric Studies (US), Carter, Brendan R., Sharp, Jonathan D., Dickson, Andrew G., Álvarez-Rodríguez, Marta, Fong, Michael B., García-Ibáñez, Maribel I., Woosley, Ryan J., Takeshita, Yuichiro, Barbero, Leticia, Byrne, Robert H., Cai, Wei-Jun, Chierici, Melissa, Clegg, Simon L., Easley, Regina A., Fassbender, Andrea J., Fleger, Kalla L., Li, Xinyu, Martín-Mayor, Macarena, Schockman ,Katelyn M., Wang, Zhaohui Aleck, National Science Foundation (US), National Aeronautics and Space Administration (US), National Oceanic and Atmospheric Administration (US), Commonwealth Scientific and Industrial Research Organisation (Australia), University of South Florida, Miami University, Agencia Estatal de Investigación (España), Cooperative Institute for Climate, Ocean, and Ecosystem Studies, Cooperative Institute For Marine And Atmospheric Studies (US), Carter, Brendan R., Sharp, Jonathan D., Dickson, Andrew G., Álvarez-Rodríguez, Marta, Fong, Michael B., García-Ibáñez, Maribel I., Woosley, Ryan J., Takeshita, Yuichiro, Barbero, Leticia, Byrne, Robert H., Cai, Wei-Jun, Chierici, Melissa, Clegg, Simon L., Easley, Regina A., Fassbender, Andrea J., Fleger, Kalla L., Li, Xinyu, Martín-Mayor, Macarena, Schockman ,Katelyn M., and Wang, Zhaohui Aleck

Abstract

The ocean carbonate system is critical to monitor because it plays a major role in regulating Earth's climate and marine ecosystems. It is monitored using a variety of measurements, and it is commonly understood that all components of seawater carbonate chemistry can be calculated when at least two carbonate system variables are measured. However, several recent studies have highlighted systematic discrepancies between calculated and directly measured carbonate chemistry variables and these discrepancies have large implications for efforts to measure and quantify the changing ocean carbon cycle. Given this, the Ocean Carbonate System Intercomparison Forum (OCSIF) was formed as a working group through the Ocean Carbon and Biogeochemistry program to coordinate and recommend research to quantify and/or reduce uncertainties and disagreements in measurable seawater carbonate system measurements and calculations, identify unknown or overlooked sources of these uncertainties, and provide recommendations for making progress on community efforts despite these uncertainties. With this paper we aim to (1) summarize recent progress toward quantifying and reducing carbonate system uncertainties; (2) advocate for research to further reduce and better quantify carbonate system measurement uncertainties; (3) present a small amount of new data, metadata, and analysis related to uncertainties in carbonate system measurements; and (4) restate and explain the rationales behind several OCSIF recommendations. We focus on open ocean carbonate chemistry, and caution that the considerations we discuss become further complicated in coastal, estuarine, and sedimentary environments

Published
2024

13. Dynamic variability of biogeochemical ratios in the Southern California Current System

Author

Martz, Todd, Send, Uwe, Ohman, Mark D, Takeshita, Yuichiro, Bresnahan, Philip, Kim, Hey‐Jin, and Nam, SungHyun

Subjects
biogeochemistry, sensors, Meteorology & Atmospheric Sciences
Abstract

We use autonomous nitrate (NO3-), oxygen (O 2), and dissolved inorganic carbon (DIC) observations to examine the relationship between ratios of C:N:O at an upwelling site in the Southern California Current System. Mean ratios and 95% confidence intervals observed by sensors over 8 months were NO3-:O2-=0.11- ±-0.002, NO3-:DIC-=-0.14-±-0.001, and DIC:O2-=0.83-±-0.01, in good agreement with Redfield ratios. Variability in the ratios on the weekly time scale is attributable to shifts in biological demand and nutrient availability and shown to exhibit a spectrum of values ranging from near 100% New Production to 100% Regenerated Production. Key Points Chemical sensors provide a means to observe the Redfield ratios Redfield ratios vary on the weekly timescale The f ratio ranges from 100% New to 100% Regenerated Production © 2014. American Geophysical Union. All Rights Reserved.

Published
2014

14. Usefulness of Combined Measurement of Surfactant Protein D, Thrombin–Antithrombin III Complex, D-Dimer, and Plasmin–α2 Plasmin Inhibitor Complex in Acute Exacerbation of Interstitial Lung Disease: A Retrospective Cohort Study.

Author

Takeshita, Yuichiro, To, Masako, Kurosawa, Yusuke, Furusho, Naho, Kinouchi, Toru, Tsushima, Kenji, Tada, Yuji, To, Yasuo, and Sakao, Seiichiro

Subjects
*PULMONARY surfactant-associated protein D, *INTERSTITIAL lung diseases, *DISSEMINATED intravascular coagulation, *FIBRIN fragment D, *DISEASE exacerbation, *PLASMIN
Abstract

Background/Objectives: The coagulation cascade due to tissue damage is considered to be one of the causes of poor prognostic outcomes in patients with acute exacerbations of interstitial lung disease (AE-ILD). This study aimed to confirm coagulopathy in AE-ILD by evaluating the differences in the clinical characteristics of coagulation/fibrinolysis markers between stable ILD and AE-ILD. Methods: Overall, 81 patients were enrolled in this retrospective study and categorized into the following two groups: a chronic ILD group comprising 63 outpatients and an acute ILD group comprising 18 inpatients diagnosed with AE-ILD. Serum markers, including thrombin–antithrombin III complex (TAT), D-dimer, plasmin–α2 plasmin inhibitor complex (PIC), and surfactant protein D (SP-D), were compared between the groups. Results: Among the 18 patients with acute ILD, 17 did not meet the International Society of Thrombosis and Hemostasis scoring system for disseminated intravascular coagulation. In acute ILD, the SP-D levels were statistically significantly positively correlated with TAT, D-dimer, and PIC levels, while the Krebs von den Lungen 6 (KL-6) levels showed no correlation with any of these coagulation/fibrinolytic markers. A positive correlation was observed between SP-D levels and TAT, D-dimer, and PIC levels in acute ILD. Serum TAT, D-dimer, and PIC all showed good area under the receiver operating characteristic (ROC) curve (AUC) values in ROC analysis for the diagnosis of acute ILD. Conclusions: In the clinical setting of AE-ILD, it may be important to focus not only on alveolar damage markers such as SP-D but also on coagulation/fibrinolytic markers including TAT, D-dimer, and PIC. [ABSTRACT FROM AUTHOR]

Published
2024
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15. A census of quality-controlled Biogeochemical-Argo float measurements

Author

Stoer, Adam C., primary, Takeshita, Yuichiro, additional, Maurer, Tanya Lee, additional, Begouen Demeaux, Charlotte, additional, Bittig, Henry C., additional, Boss, Emmanuel, additional, Claustre, Hervé, additional, Dall’Olmo, Giorgio, additional, Gordon, Christopher, additional, Greenan, Blair John William, additional, Johnson, Kenneth S., additional, Organelli, Emanuele, additional, Sauzède, Raphaëlle, additional, Schmechtig, Catherine Marie, additional, and Fennel, Katja, additional

Published
2023
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16. High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison

Author

Hofmann, Gretchen E, Smith, Jennifer E, Johnson, Kenneth S, Send, Uwe, Levin, Lisa A, Micheli, Fiorenza, Paytan, Adina, Price, Nichole N, Peterson, Brittany, Takeshita, Yuichiro, Matson, Paul G, Crook, Elizabeth Derse, Kroeker, Kristy J, Gambi, Maria Cristina, Rivest, Emily B, Frieder, Christina A, Yu, Pauline C, and Martz, Todd R

Subjects
Oceanography, Biological Sciences, Ecology, Earth Sciences, Environmental Sciences, Life Below Water, Aquatic Organisms, Ecosystem, Hydrogen-Ion Concentration, Oceans and Seas, Seawater, Time Factors, General Science & Technology
Abstract

The effect of Ocean Acidification (OA) on marine biota is quasi-predictable at best. While perturbation studies, in the form of incubations under elevated pCO(2), reveal sensitivities and responses of individual species, one missing link in the OA story results from a chronic lack of pH data specific to a given species' natural habitat. Here, we present a compilation of continuous, high-resolution time series of upper ocean pH, collected using autonomous sensors, over a variety of ecosystems ranging from polar to tropical, open-ocean to coastal, kelp forest to coral reef. These observations reveal a continuum of month-long pH variability with standard deviations from 0.004 to 0.277 and ranges spanning 0.024 to 1.430 pH units. The nature of the observed variability was also highly site-dependent, with characteristic diel, semi-diurnal, and stochastic patterns of varying amplitudes. These biome-specific pH signatures disclose current levels of exposure to both high and low dissolved CO(2), often demonstrating that resident organisms are already experiencing pH regimes that are not predicted until 2100. Our data provide a first step toward crystallizing the biophysical link between environmental history of pH exposure and physiological resilience of marine organisms to fluctuations in seawater CO(2). Knowledge of this spatial and temporal variation in seawater chemistry allows us to improve the design of OA experiments: we can test organisms with a priori expectations of their tolerance guardrails, based on their natural range of exposure. Such hypothesis-testing will provide a deeper understanding of the effects of OA. Both intuitively simple to understand and powerfully informative, these and similar comparative time series can help guide management efforts to identify areas of marine habitat that can serve as refugia to acidification as well as areas that are particularly vulnerable to future ocean change.

Published
2011

17. Uncertainty sources for measurable ocean carbonate chemistry variables.

Author

Carter, Brendan R., Sharp, Jonathan D., Dickson, Andrew G., Álvarez, Marta, Fong, Michael B., García‐Ibáñez, Maribel I., Woosley, Ryan J., Takeshita, Yuichiro, Barbero, Leticia, Byrne, Robert H., Cai, Wei‐Jun, Chierici, Melissa, Clegg, Simon L., Easley, Regina A., Fassbender, Andrea J., Fleger, Kalla L., Li, Xinyu, Martín‐Mayor, Macarena, Schockman, Katelyn M., and Wang, Zhaohui Aleck

Subjects
OCEAN, MARINE ecology, CARBONATE minerals, CARBON cycle, CARBONATES, BIOGEOCHEMISTRY
Abstract

The ocean carbonate system is critical to monitor because it plays a major role in regulating Earth's climate and marine ecosystems. It is monitored using a variety of measurements, and it is commonly understood that all components of seawater carbonate chemistry can be calculated when at least two carbonate system variables are measured. However, several recent studies have highlighted systematic discrepancies between calculated and directly measured carbonate chemistry variables and these discrepancies have large implications for efforts to measure and quantify the changing ocean carbon cycle. Given this, the Ocean Carbonate System Intercomparison Forum (OCSIF) was formed as a working group through the Ocean Carbon and Biogeochemistry program to coordinate and recommend research to quantify and/or reduce uncertainties and disagreements in measurable seawater carbonate system measurements and calculations, identify unknown or overlooked sources of these uncertainties, and provide recommendations for making progress on community efforts despite these uncertainties. With this paper we aim to (1) summarize recent progress toward quantifying and reducing carbonate system uncertainties; (2) advocate for research to further reduce and better quantify carbonate system measurement uncertainties; (3) present a small amount of new data, metadata, and analysis related to uncertainties in carbonate system measurements; and (4) restate and explain the rationales behind several OCSIF recommendations. We focus on open ocean carbonate chemistry, and caution that the considerations we discuss become further complicated in coastal, estuarine, and sedimentary environments. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing

Author

Takeshita, Yuichiro, primary, Terada, Jiro, additional, Hirasawa, Yasutaka, additional, Kinoshita, Taku, additional, Tajima, Hiroshi, additional, Koshikawa, Ken, additional, Kinouchi, Toru, additional, Isaka, Yuri, additional, Shionoya, Yu, additional, Fujikawa, Atsushi, additional, Kato, Yasuyuki, additional, To, Yasuo, additional, Tada, Yuji, additional, and Tsushima, Kenji, additional

Published
2022
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22. The technological, scientific, and sociological revolution of global subsurface ocean observing

Author

Roemmich, Dean, Talley, Lynne D., Zilberman, Nathalie, Osborne, Emily, Johnson, Kenneth S., Barbero, Leticia, Bittig, Henry C., Briggs, Nathan, Fassbender, Andrea J., Johnson, Gregory C., King, Brian A., McDonagh, Elaine L., Purkey, Sarah G., Riser, Stephen C., Suga, Toshio, Takeshita, Yuichiro, Thierry, Virginie, Wijffels, Susan E., Roemmich, Dean, Talley, Lynne D., Zilberman, Nathalie, Osborne, Emily, Johnson, Kenneth S., Barbero, Leticia, Bittig, Henry C., Briggs, Nathan, Fassbender, Andrea J., Johnson, Gregory C., King, Brian A., McDonagh, Elaine L., Purkey, Sarah G., Riser, Stephen C., Suga, Toshio, Takeshita, Yuichiro, Thierry, Virginie, and Wijffels, Susan E.

Abstract

© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Roemmich, D., Talley, L., Zilberman, N., Osborne, E., Johnson, K., Barbero, L., Bittig, H., Briggs, N., Fassbender, A., Johnson, G., King, B., McDonagh, E., Purkey, S., Riser, S., Suga, T., Takeshita, Y., Thierry, V., & Wijffels, S. The technological, scientific, and sociological revolution of global subsurface ocean observing. Oceanography, 34(4), (2021): 2-8, https://doi.org/10.5670/oceanog.2021.supplement.02-02., The complementary partnership of the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP; https://www.go-ship.org/) and the Argo Program (https://argo.ucsd.edu) has been instrumental in providing sustained subsurface observations of the global ocean for over two decades. Since the late twentieth century, new clues into the ocean’s role in Earth’s climate system have revealed a need for sustained global ocean observations (e.g., Gould et al., 2013; Schmitt, 2018) and stimulated revolutionary technology advances needed to address the societal mandate. Together, the international GO-SHIP and Argo Program responded to this need, providing insight into the mean state and variability of the physics, biology, and chemistry of the ocean that led to advancements in fundamental science and monitoring of the state of Earth's climate., The authors gratefully acknowledge support from their respective Argo and GO-SHIP national programs or national agencies, which have made these programs possible.

Published
2022

25. Marine CO2 system variability along the Inside Passage of the Pacific Northwest coast of North America determined from an Alaskan ferry

Author

Evans, Wiley, Lebon, Geoffrey T., Harrington, Christen D., Takeshita, Yuichiro, and Bidlack, Allison

Abstract

Information on marine CO2 system variability has been limited along the Inside Passage of the Pacific Northwest coast of North America despite the region’s rich biodiversity, abundant fisheries, and developing aquaculture industry. Beginning in 2017, the Alaska Marine Highway System M/V Columbia has served as a platform for surface underway data collection while conducting twice weekly ~1600-km transits between Bellingham, Washington and Skagway, Alaska. This dataset allowed for the assessment of marine CO2 system patterns along the Inside Passage, including quantification of the relative importance of key drivers in shaping pCO2 variability. Surface water pH and aragonite saturation state (Ωarag) were determined using the pCO2 data with alkalinity from a regional salinity-based relationship, which was evaluated with discrete seawater samples and underway pH measurements. Low pH and corrosive (Ωarag < 1) Ωarag conditions were seen during winter and in persistent tidal mixing zones, and corrosive Ωarag values were also seen in areas that receive significant glacial melt in summer. The time-of-detection was computed and revealed that tidal mixing zones may be sentinel observing sites with relatively short time spans of observation needed to capture secular trends in seawater pCO2 equivalent to the contemporary atmospheric CO2 increase. Finally, anthropogenic CO2 was estimated and showed notable time and space variability. We theoretically considered the change in hydrogen ion concentration ([H+]), pH, and Ωarag over the industrial era and to an atmospheric pCO2 level consistent with a 1.5 °C warmer climate and revealed greater changes in [H+] and pH in winter as opposed to larger Ωarag change in summer. In addition, the contemporary acidification signal everywhere along the Inside Passage exceeded the global average, with Johnstone Strait and the Salish Sea standing out as potential bellwethers for biological OA impacts. In theory, roughly half the acidification signal experienced thus far over the industrial era may be expected over the coming 15 years with an atmospheric CO2 trajectory that continues to be shaped by fossil-fuel development.

Published
2021

26. Elevated TAT in COVID-19 Patients with Normal D-Dimer as a Predictor of Severe Respiratory Failure: A Retrospective Analysis of 797 Patients

Author

Takeshita, Yuichiro, primary, Terada, Jiro, additional, Hirasawa, Yasutaka, additional, Kinoshita, Taku, additional, Tajima, Hiroshi, additional, Koshikawa, Ken, additional, Kinouchi, Toru, additional, Isaka, Yuri, additional, Shionoya, Yu, additional, Fujikawa, Atsushi, additional, Tada, Yuji, additional, Nakaseko, Chiaki, additional, and Tsushima, Kenji, additional

Published
2021
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27. Limited biogeochemical modification of surface waters by kelp forest canopies: Influence of kelp metabolism and site‐specific hydrodynamics

Author

Traiger, Sarah B., primary, Cohn, Brian, additional, Panos, Demetra, additional, Daly, Margaret, additional, Hirsh, Heidi K., additional, Martone, Maria, additional, Gutierrez, Isabella, additional, Mucciarone, David A., additional, Takeshita, Yuichiro, additional, Monismith, Stephen G., additional, Dunbar, Robert B., additional, and Nickols, Kerry J., additional

Published
2021
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28. New and updated global empirical seawater property estimation routines

Author

Carter, Brendan R., primary, Bittig, Henry C., additional, Fassbender, Andrea J., additional, Sharp, Jonathan D., additional, Takeshita, Yuichiro, additional, Xu, Yuan‐Yuan, additional, Álvarez, Marta, additional, Wanninkhof, Rik, additional, Feely, Richard A., additional, and Barbero, Leticia, additional

Published
2021
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29. Carbon dioxide addition to coral reef waters suppresses net community calcification

Author

Albright, Rebecca, Takeshita, Yuichiro, Koweek, David A., Ninokawa, Aaron, Wolfe, Kennedy, Rivlin, Tanya, Nebuchina, Yana, Young, Jordan, and Caldeira, Ken

Subjects
Calcification (Physiology) -- Environmental aspects, Coral reefs -- Environmental aspects, Carbon dioxide -- Environmental aspects, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Rebecca Albright (corresponding author) [1, 2]; Yuichiro Takeshita [1, 3]; David A. Koweek [1]; Aaron Ninokawa [4]; Kennedy Wolfe [5]; Tanya Rivlin [6, 7]; Yana Nebuchina [1]; Jordan Young [...]

Published
2018
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31. Chemical Sensor Development in Oceanography /

Author

Takeshita, Yuichiro

Subjects
UCSD Dissertations, Academic Oceanography. (Discipline)
Abstract

In situ autonomous chemical sensors, combined with the right deployment platforms provide novel, powerful tools for oceanographers to observe biogeochemical processes on unprecedented spatial and temporal scales. However, many aspects of chemical sensor technology have not yet reached full maturity, preventing routine use by the community at large. This dissertation aims to fill this critical need in ocean observing technology, with a focus on Ion Sensitive Field Effect Transistor (ISFET) pH sensors for profiling float applications. Following a brief introduction to the current status of marine chemical sensor technology, the four chapters address the various steps involved in sensor development: sensor characterization, calibration, data quality control (QC), and a modeling effort using sensor data. Chapter 2 introduces a simple QC protocol for profiling float oxygen data by comparison to a monthly climatology. This protocol can constrain O₂ at the surface to better than 3%, and detect sensor drift with high confidence. Similar approaches can be taken to QC other chemical sensors data from profiling floats. Chapter 3 characterizes the response of the ISFET pH sensor and the Chloride-Ion Selective Electrode by comparison to the hydrogen electrode and the silver-silver chloride electrode, respectively. Both electrodes showed near-Nernstian response, thus the error in pH due to non-theoretical behavior of the electrodes is negligible over the oceanic range of pH and salinity. Chapter 4 quantifies the effect of pressure on the pH of certified tris buffer prepared in synthetic seawater. Assignment of pH values to certified buffer solutions is essential for sensor calibration. As the number of pH sensors deployed under high pressures is expected to increase, this chapter will fill a critical need in sensor validation and traceability. Chapter 5 presents habitat-specific ocean acidification projections between 2012 and 2100 for 4 habitats in the upper 100 m of the Southern California Bight. The projections were generated by combining high frequency pH sensor data, a regional empirical relationship of the CO₂ system, and hydrographic data to characterize the properties of upwelled waters. Habitat specific acidification signals were predicted, and implications for future ocean acidification research are discussed

Published
2014

32. Underway pH of seawater sampled during CCGS John P. Tully cruises in the northeast Pacific Ocean from Vancouver Island to Station P from 2019 to 2020

Author

Fassbender, Andrea J., Long, Jacqueline S., Takeshita, Yuichiro, Fassbender, Andrea J., Long, Jacqueline S., and Takeshita, Yuichiro

Abstract

Dataset: Underway pH data near Line P, The pH (in situ, total scale) of near surface seawater was measured from the CCGS John P. Tully while underway during three Canadian Line P cruises conducted from 2019 through 2020. A prototype instrument, BGC-SUMO (Y. Takeshita, MBARI), was plumbed into the ship's seawater intake line to measure near surface pH while a collocated thermosalinograph measured near surface salinity and temperature from the same flow stream. This dataset provides information on these properties. 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/866582, NSF Division of Ocean Sciences (NSF OCE) OCE-2032754, NSF Division of Ocean Sciences (NSF OCE) OCE-1756932

Published
2021

33. The challenges of detecting and attributing ocean acidification impacts on marine ecosystems

Author

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, 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, and Busch, D. Shallin

Abstract

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Doo, S. S., Kealoha, A., Andersson, A., Cohen, A. L., Hicks, T. L., Johnson, Z., I., Long, M. H., McElhany, P., Mollica, N., Shamberger, K. E. F., Silbiger, N. J., Takeshita, Y., & Busch, D. S. The challenges of detecting and attributing ocean acidification impacts on marine ecosystems. ICES Journal of Marine Science, 77(7-8), (2020): 2411-2422, https://doi.org/10.1093/icesjms/fsaa094., 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, SSD was funded by NSF OCE (grant # 1415268). DSB and PM were supported by the NOAA Ocean Acidification Program and Northwest Fisheries Science Center, MHL was supported by NSF OCE (grant # 1633951), ZIJ was supported by NSF OCE (grant # 1416665) and DOE EERE (grant #DE-EE008518), NJS was supported by NSF OCE (grant # 1924281), ALC was supported by NSF OCE (grant # 1737311), and AA was supported by NSF OCE (grant # 1416518). KEFS, AK, and TLH were supported by Texas A&M University. This is CSUN Marine Biology contribution (# 306).

Published
2021

34. New and Updated Global Empirical Seawater Property Estimation Routines

Author

Carter; B., Álvarez-Rodríguez, Marta, Bittig, Henry C., Fassbender, Andrea J., Sharp, Jonathan D., Takeshita, Yuichiro, Xu, Yuan-Yuan, Wanninkhof, Rik, Feely, Richard A., Barbero, Leticia, Carter; B., Álvarez-Rodríguez, Marta, Bittig, Henry C., Fassbender, Andrea J., Sharp, Jonathan D., Takeshita, Yuichiro, Xu, Yuan-Yuan, Wanninkhof, Rik, Feely, Richard A., and Barbero, Leticia

Abstract

We introduce three new Empirical Seawater Property Estimation Routines (ESPERs) capable of predicting seawater phosphate, nitrate, silicate, oxygen, total titration seawater alkalinity, total hydrogen scale pH (pHT), and total dissolved inorganic carbon (DIC) from up to 16 combinations of seawater property measurements. The routines generate estimates from neural networks (ESPER_NN), locally interpolated regressions (ESPER_LIR), or both (ESPER_Mixed). They require a salinity value and coordinate information, and benefit from additional seawater measurements if available. These routines are intended for seawater property measurement quality control and quality assessment, generating estimates for calculations that require approximate values, original science, and producing biogeochemical property context from a data set. Relative to earlier LIR routines, the updates expand their functionality, including new estimated properties and combinations of predictors, a larger training data product including new cruises from the 2020 Global Data Analysis Project data product release, and the implementation of a first-principles approach for quantifying the impacts of anthropogenic carbon on DIC and pHT. We show that the new routines perform at least as well as existing routines, and, in some cases, outperform existing approaches, even when limited to the same training data. Given that additional training data has been incorporated into these updated routines, these updates should be considered an improvement over earlier versions. The routines are intended for all ocean depths for the interval from 1980 to ~2030 c.e., and we caution against using the routines to directly quantify surface ocean seasonality or make more distant predictions of DIC or pHT.

Published
2021

36. pH measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Kelp forest pumping data - pH, pH measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018. 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/826162, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

37. Cross-shore and alongshore velocity outside the kelp forest at Hopkins Marine Station (36° 37.342’ N, 121° 54.049’ W) recorded between June and October, 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: ADCP - Outside Kelp Forest, Cross-shore and alongshore velocity outside the kelp forest at Hopkins Marine Station (36° 37.342’ N, 121° 54.049’ W) recorded between June and October, 2018. 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/822913, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

38. Dissolved Inorganic Carbon measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Kelp forest pumping data - DIC, Dissolved Inorganic Carbon measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018. 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/826200, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

39. Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Inside and Outside Kelp Forest Mooring, Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside (36° 37.342’ N, 121° 54.049’ W) and inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. The tidal depth of the kelp canopy mooring ranges from 8 to 11 meter. The outside mooring is located 115m north and offshore from the kelp forest, the tidal range is 16 to 9 meters. 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/822549, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

40. Kelp forest mooring DIC, TA, pCO2, and aragonite saturation state estimations inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Kelp Forest Estimated Carbonate Parameters, Kelp forest mooring DIC, TA, pCO2, and aragonite saturation state estimations inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. 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/823008, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

41. Number of new fronds recorded at the kelp forest mooring (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station recorded from July to August 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Kelp Forest Mooring New Fronds, Number of new fronds recorded at the kelp mooring (Central CA Macrocystis pyrifera forest, 36° 37.297’ N, 121° 54.102’ W) from July to August 2018. 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/822535, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

42. Nighttime surface chlorophyll-a concentrations at the MBARI OA1 Buoy (36° 37.373’ N, 121 ° 54.000’ W) from June to October 2018

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Nighttime Surface Chlorophyll a, Nighttime surface chlorophyll-a concentrations at the MBARI OA1 Buoy (36° 37.373’ N, 121 ° 54.000’ W) from June to October 2018 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/822494, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

43. Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: ADCP - Inside Kelp Forest, Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018. 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/826431, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

44. Discrete seawater samples collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018.

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Discrete Seawater Samples, Discrete seawater samples collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018. 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/826410, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

45. Surface irradiance measured on the roof of the Monterey Bay Aquarium (36.62 °N, 121.90 °W) from June to October 2018

Author

Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, Dunbar, Robert B., Hirsh, Heidi, Nickols, Kerry J., Takeshita, Yuichiro, Traiger, Sarah, Monismith, Stephen G., Mucciarone, David, and Dunbar, Robert B.

Abstract

Dataset: Surface Irradiance, Surface irradiance measured on the roof of the Monterey Bay Aquarium (36.62 °N, 121.90 °W) from June to October 2018. 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/822517, NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176

Published
2020

46. Global Oceans

Author

Lumpkin, Rick, Baringer, Molly, Bif, Mariana B., Boyer, Tim, Bushinsky, Seth M., Carter, Brendan R., Cetinić, Ivona, Chambers, Don P., Cheng, Lijing, Chiba, Sanai, Dai, Minhan, Domingues, Catia M., Dong, Shenfu, Fassbender, Andrea J., Feely, Richard A., Frajka-Williams, Eleanor, Franz, Bryan A., Gilson, John, Goni, Gustavo, Hamlington, Benjamin D., Hu, Zeng-Zhen, Huang, Boyin, Ishii, Masayoshi, Jevrejeva, Svetlana, Johns, William E., Johnson, Gregory C., Johnson, Kenneth S., Kennedy, John, Kersalé, Marion, Killick, Rachel E., Landschützer, Peter, Lankhorst, Matthias, Lee, Tong, Leuliette, Eric, Li, Feili, Lindstrom, Eric, Locarnini, Ricardo, Lozier, Susan, Lyman, John M., Marra, John J., Meinen, Christopher S., Merrifield, Mark A., Mitchum, Gary T., Moat, Ben, Monselesan, Didier, Nerem, R. Steven, Perez, Renellys C., Purkey, Sarah G., Rayner, Darren, Reagan, James, Rome, Nicholas, Sanchez-Franks, Alejandra, Schmid, Claudia, Scott, Joel P., Send, Uwe, Siegel, David A., Smeed, David A., Speich, Sabrina, Stackhouse, Paul W., Sweet, William, Takeshita, Yuichiro, Thompson, Philip R., Triñanes, Joaquin A., Visbeck, Martin, Volkov, Denis L., Wanninkhof, Rik, Weller, Robert A., Westberry, Toby K., Widlansky, Matthew J., Wijffels, Susan E., Wilber, Anne C., Yu, Lisan, Yu, Weidong, Zhang, Huai-Min, Lumpkin, Rick, Baringer, Molly, Bif, Mariana B., Boyer, Tim, Bushinsky, Seth M., Carter, Brendan R., Cetinić, Ivona, Chambers, Don P., Cheng, Lijing, Chiba, Sanai, Dai, Minhan, Domingues, Catia M., Dong, Shenfu, Fassbender, Andrea J., Feely, Richard A., Frajka-Williams, Eleanor, Franz, Bryan A., Gilson, John, Goni, Gustavo, Hamlington, Benjamin D., Hu, Zeng-Zhen, Huang, Boyin, Ishii, Masayoshi, Jevrejeva, Svetlana, Johns, William E., Johnson, Gregory C., Johnson, Kenneth S., Kennedy, John, Kersalé, Marion, Killick, Rachel E., Landschützer, Peter, Lankhorst, Matthias, Lee, Tong, Leuliette, Eric, Li, Feili, Lindstrom, Eric, Locarnini, Ricardo, Lozier, Susan, Lyman, John M., Marra, John J., Meinen, Christopher S., Merrifield, Mark A., Mitchum, Gary T., Moat, Ben, Monselesan, Didier, Nerem, R. Steven, Perez, Renellys C., Purkey, Sarah G., Rayner, Darren, Reagan, James, Rome, Nicholas, Sanchez-Franks, Alejandra, Schmid, Claudia, Scott, Joel P., Send, Uwe, Siegel, David A., Smeed, David A., Speich, Sabrina, Stackhouse, Paul W., Sweet, William, Takeshita, Yuichiro, Thompson, Philip R., Triñanes, Joaquin A., Visbeck, Martin, Volkov, Denis L., Wanninkhof, Rik, Weller, Robert A., Westberry, Toby K., Widlansky, Matthew J., Wijffels, Susan E., Wilber, Anne C., Yu, Lisan, Yu, Weidong, and Zhang, Huai-Min

Abstract

Global Oceans is one chapter from the State of the Climate in 2019 annual report and is avail-able from https://doi.org/10.1175/BAMS-D-20-0105.1. Compiled by NOAA’s National Centers for Environmental Information, State of the Climate in 2019 is based on contr1ibutions from scien-tists from around the world. It provides a detailed update on global climate indicators, notable weather events, and other data collected by environmental monitoring stations and instru-ments located on land, water, ice, and in space. The full report is available from https://doi.org /10.1175/2020BAMSStateoftheClimate.1.

Published
2020

47. Benthic Ecosystem and Acidification Measuring System (BEAMS) data from two Bermuda sites collected during 2015 (BEAMS project)

Author

Takeshita, Yuichiro, Martz, Todd R., McGillis, Wade, Price, Nichole N., Smith, Jennifer, Takeshita, Yuichiro, Martz, Todd R., McGillis, Wade, Price, Nichole N., and Smith, Jennifer

Abstract

Dataset: Benthic and acidification data from Bermuda, This dataset was collected using the Benthic Ecosystem and Acidification Measuring System (BEAMS) at Hog Reef and Bailey’s Bay, Bermuda in 2015. 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/719743, NSF Division of Ocean Sciences (NSF OCE) OCE-1316006, NSF Division of Ocean Sciences (NSF OCE) OCE-1316047

Published
2020

48. The challenges of detecting and attributing ocean acidification impacts on marine ecosystems

Author

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, 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, and Busch, D. Shallin

Abstract

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

Published
2020

50. Accurate pH and O2 Measurements from Spray Underwater Gliders

Author

Takeshita, Yuichiro, primary, Jones, Brent D., additional, Johnson, Kenneth S., additional, Chavez, Francisco P., additional, Rudnick, Daniel L., additional, Blum, Marguerite, additional, Conner, Kyle, additional, Jensen, Scott, additional, Long, Jacqueline S., additional, Maughan, Thom, additional, Mertz, Keaton L., additional, Sherman, Jeffrey T., additional, and Warren, Joseph K., additional

Published
2021
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