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Institution

Woods Hole Oceanographic Institution

NonprofitFalmouth, Massachusetts, United States
About: Woods Hole Oceanographic Institution is a nonprofit organization based out in Falmouth, Massachusetts, United States. It is known for research contribution in the topics: Population & Mantle (geology). The organization has 5685 authors who have published 18396 publications receiving 1202050 citations. The organization is also known as: WHOI.


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Journal ArticleDOI
TL;DR: Performance limitations in digital acoustic telemetry are addressed and phase stability is of particular concern for long-range telemetry, channel fluctuation characteristics drive equalizer, and synchronizer design.
Abstract: Performance limitations in digital acoustic telemetry are addressed. Increases in computational capabilities have led to a number of complex but practical solutions aimed at increasing the reliability of acoustic data links. These solutions range from ocean-basin scale data telemetry to video-image transmission at a few hundred yards' distance. The opportunity to implement highly complex tasks in real time on modest hardware is a common factor. The data rates range from 1 to 500 kb/s and are much slower than satellite channels, while acceptable system complexity is higher than virtually any other channel with comparable data throughput. The basic performance bounds are the channel phase stability, available bandwidth, and the channel impulse response fluctuation rate. Phase stability is of particular concern for long-range telemetry, channel fluctuation characteristics drive equalizer, and synchronizer design; the bandwidth limitation is a direct constraint on data rate for a given signaling method. >

302 citations

Journal ArticleDOI
TL;DR: This study provides further evidence for the evolutionarily widespread capacity for Fe oxidation among bacteria and suggests that FeOB may play an unrecognized geomicrobiological role in rock weathering in the deep sea.
Abstract: We report the isolation and physiological characterization of novel, psychrophilic, iron-oxidizing bacteria (FeOB) from low-temperature weathering habitats in the vicinity of the Juan de Fuca deep-sea hydrothermal area. The FeOB were cultured from the surfaces of weathered rock and metalliferous sediments. They are capable of growth on a variety of natural and synthetic solid rock and mineral substrates, such as pyrite (FeS2), basalt glass (∼10 wt% FeO), and siderite (FeCO3), as their sole energy source, as well as numerous aqueous Fe substrates. Growth temperature characteristics correspond to the in situ environmental conditions of sample origin; the FeOB grow optimally at 3 to 10°C and at generation times ranging from 57 to 74 h. They are obligate chemolithoautotrophs and grow optimally under microaerobic conditions in the presence of an oxygen gradient or anaerobically in the presence of nitrate. None of the strains are capable of using any organic or alternate inorganic substrates tested. The bacteria are phylogenetically diverse and have no close Fe-oxidizing or autotrophic relatives represented in pure culture. One group of isolates are γ-Proteobacteria most closely related to the heterotrophic bacterium Marinobacter aquaeolei (87 to 94% sequence similarity). A second group of isolates are α-Proteobacteria most closely related to the deep-sea heterotrophic bacterium Hyphomonas jannaschiana (81 to 89% sequence similarity). This study provides further evidence for the evolutionarily widespread capacity for Fe oxidation among bacteria and suggests that FeOB may play an unrecognized geomicrobiological role in rock weathering in the deep sea.

302 citations

Journal ArticleDOI
Evan Bolyen1, Jai Ram Rideout1, Matthew R. Dillon1, Nicholas A. Bokulich1, Christian C. Abnet2, Gabriel A. Al-Ghalith3, Harriet Alexander4, Harriet Alexander5, Eric J. Alm6, Manimozhiyan Arumugam7, Francesco Asnicar8, Yang Bai9, Jordan E. Bisanz10, Kyle Bittinger11, Asker Daniel Brejnrod7, Colin J. Brislawn12, C. Titus Brown4, Benjamin J. Callahan13, Andrés Mauricio Caraballo-Rodríguez14, John Chase1, Emily K. Cope1, Ricardo Silva14, Christian Diener15, Pieter C. Dorrestein14, Gavin M. Douglas16, Daniel M. Durall17, Claire Duvallet6, Christian F. Edwardson, Madeleine Ernst14, Madeleine Ernst18, Mehrbod Estaki17, Jennifer Fouquier19, Julia M. Gauglitz14, Sean M. Gibbons20, Sean M. Gibbons15, Deanna L. Gibson17, Antonio Gonzalez21, Kestrel Gorlick1, Jiarong Guo22, Benjamin Hillmann3, Susan Holmes23, Hannes Holste21, Curtis Huttenhower24, Curtis Huttenhower25, Gavin A. Huttley26, Stefan Janssen27, Alan K. Jarmusch14, Lingjing Jiang21, Benjamin D. Kaehler28, Benjamin D. Kaehler26, Kyo Bin Kang14, Kyo Bin Kang29, Christopher R. Keefe1, Paul Keim1, Scott T. Kelley30, Dan Knights3, Irina Koester14, Irina Koester21, Tomasz Kosciolek21, Jorden Kreps1, Morgan G. I. Langille16, Joslynn S. Lee31, Ruth E. Ley32, Ruth E. Ley33, Yong-Xin Liu, Erikka Loftfield2, Catherine A. Lozupone19, Massoud Maher21, Clarisse Marotz21, Bryan D Martin20, Daniel McDonald21, Lauren J. McIver24, Lauren J. McIver25, Alexey V. Melnik14, Jessica L. Metcalf34, Sydney C. Morgan17, Jamie Morton21, Ahmad Turan Naimey1, Jose A. Navas-Molina35, Jose A. Navas-Molina21, Louis-Félix Nothias14, Stephanie B. Orchanian, Talima Pearson1, Samuel L. Peoples20, Samuel L. Peoples36, Daniel Petras14, Mary L. Preuss37, Elmar Pruesse19, Lasse Buur Rasmussen7, Adam R. Rivers38, Michael S. Robeson39, Patrick Rosenthal37, Nicola Segata8, Michael Shaffer19, Arron Shiffer1, Rashmi Sinha2, Se Jin Song21, John R. Spear40, Austin D. Swafford, Luke R. Thompson41, Luke R. Thompson42, Pedro J. Torres30, Pauline Trinh20, Anupriya Tripathi21, Anupriya Tripathi14, Peter J. Turnbaugh10, Sabah Ul-Hasan43, Justin J. J. van der Hooft44, Fernando Vargas, Yoshiki Vázquez-Baeza21, Emily Vogtmann2, Max von Hippel45, William A. Walters32, Yunhu Wan2, Mingxun Wang14, Jonathan Warren46, Kyle C. Weber47, Kyle C. Weber38, Charles H. D. Williamson1, Amy D. Willis20, Zhenjiang Zech Xu21, Jesse R. Zaneveld20, Yilong Zhang48, Qiyun Zhu21, Rob Knight21, J. Gregory Caporaso1 
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Abstract: In the version of this article initially published, some reference citations were incorrect. The three references to Jupyter Notebooks should have cited Kluyver et al. instead of Gonzalez et al. The reference to Qiita should have cited Gonzalez et al. instead of Schloss et al. The reference to mothur should have cited Schloss et al. instead of McMurdie & Holmes. The reference to phyloseq should have cited McMurdie & Holmes instead of Huber et al. The reference to Bioconductor should have cited Huber et al. instead of Franzosa et al. And the reference to the biobakery suite should have cited Franzosa et al. instead of Kluyver et al. The errors have been corrected in the HTML and PDF versions of the article.

301 citations

Journal ArticleDOI
TL;DR: An approach is presented here using life cycle graphs and matrix projection models to apply adaptive plasticity to life-history plasticity, and three examples are analyzed here: plasticity in the rate of development from one instar to the next in a stage-classified model, Plasticity in multiplicative yield components, and plasticities in dormancy as a response to environmental cues.
Abstract: Although much life-history theory assumes otherwise, most life-history traits exhibit phenotypic plasticity in response to environmental factors during development. Plasticity has long been recognized as a potentially important factor in evolution, is known to be under genetic control, and may or may not be adaptive. The notion of adaptive plasticity contrasts with the idea that developmental homeostasis is a major evolutionary goal. The conflict was resolved in principle by Ashby's cybernetic analysis of homeostasis, which showed how plasticity in “response variables” might act to screen “essential variables” from the impact of environmental disturbance. To apply this analysis to life-history plasticity, it must be incorporated into a demographic model. An approach is presented here using life cycle graphs and matrix projection models. Plasticity in response to temporal variation leads to time-varying matrix models: plasticity in response to spatial variation leads to models structured by criteria other than age. The adaptive value of such plasticity can be assessed by calculating its effects on a suitable measure of fitness: long-term growth rate for time-invariant models, expected growth rate discounted by variance for time-varying models. Three examples are analyzed here: plasticity in the rate of development from one instar to the next in a stage-classified model, plasticity in multiplicative yield components, and plasticity in dormancy as a response to environmental cues. Development rate plasticity is adaptive if reproductive value increases from the instar in question to the next, maladaptive otherwise. Plasticity in yield components reduces fitness variance, and hence is adaptive, if the responses of successive developmental steps ( e.g. , flowers/stem, seeds/flower) are negatively correlated. Plasticity in dormancy is adaptive if it responds to the same factor(s) influencing mortality, but with opposite sign. A number of important problems, including trade-offs between genetic and phenotypic adaptation and the distinction between continuous and discontinous plasticity remain to be solved.

301 citations

Journal ArticleDOI
TL;DR: In this paper, a comprehensive meta-analysis of organic zooplankton values at the base of the food web, dissolved inorganic carbon δ13C values, and seawater δ18O values to create, for the first time, robust isoscapes for the Atlantic Ocean is presented.
Abstract: Ecogeochemistry—the application of geochemical techniques to fundamental questions in population and community ecology—has been used in animal migration studies in terrestrial environments for several decades; however, the approach has received far less attention in marine systems. This review includes comprehensive meta-analyses of organic zooplankton δ13C and δ15N values at the base of the food web, dissolved inorganic carbon δ13C values, and seawater δ18O values to create, for the first time, robust isoscapes for the Atlantic Ocean. These isoscapes present far greater geographic variability in multiple geochemical tracers than was previously thought, thus forming the foundation for reconstructions of habitat use and migration patterns of marine organisms. We review several additional tracers, including trace-element-to-calcium ratios and heavy element stable isotopes, to examine anadromous migrations. We highlight the value of the ecogeochemistry approach by examining case studies on three components of connectivity: dispersal and natal homing, functional connectivity, and migratory connectivity. We also discuss recent advances in compound-specific stable carbon and nitrogen isotope analyses for tracking animal movement. A better understanding of isotopic routing and fractionation factors, particularly of individual compound classes, is necessary to realize the full potential of ecogeochemistry.

301 citations


Authors

Showing all 5752 results

NameH-indexPapersCitations
Roberto Romero1511516108321
Jerry M. Melillo13438368894
Timothy J. Mitchison13340466418
Xiaoou Tang13255394555
Jillian F. Banfield12756260687
Matthew Jones125116196909
Rodolfo R. Llinás12038652828
Ronald D. Vale11734249020
Scott C. Doney11140659218
Alan G. Marshall107106046904
Peter K. Smith10785549174
Donald E. Canfield10529843270
Edward F. DeLong10226242794
Eric A. Davidson10128145511
Gary G. Borisy10124838195
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022126
2021712
2020701
2019737
2018612