Institution
Woods Hole Oceanographic Institution
Nonprofit•Falmouth, 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.
Papers published on a yearly basis
Papers
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Canadian Institute for Advanced Research1, University of British Columbia2, Monterey Bay Aquarium Research Institute3, Stony Brook University4, University of California, San Diego5, Brown University6, Marine Biological Laboratory7, University of Washington8, Dalhousie University9, National Center for Genome Resources10, Alfred Wegener Institute for Polar and Marine Research11, Rutgers University12, Texas A&M University13, University of Southern California14, University of Delaware15, Victoria University of Wellington16, University of Paris-Sud17, Columbia University18, University of Oslo19, University of Hawaii at Manoa20, University of Prince Edward Island21, University of Rhode Island22, Woods Hole Oceanographic Institution23, Jacobs University Bremen24, Max Planck Society25, Smith College26, University of South Alabama27, Saint Petersburg State University28, University of Geneva29, University of Connecticut30, Laval University31, University of Guelph32, University of North Carolina at Chapel Hill33, University of New Brunswick34, University of Camerino35, University of East Anglia36, Stazione Zoologica Anton Dohrn37, University of Georgia38, University of Technology, Sydney39, University of Puerto Rico40, University of Pisa41, Centre national de la recherche scientifique42, Colorado School of Mines43, Lund University44, University of Western Ontario45, California State University46, University of Texas at Austin47, Los Alamos National Laboratory48, Pierre-and-Marie-Curie University49, University of Oklahoma50, Plymouth Marine Laboratory51, Bigelow Laboratory For Ocean Sciences52, Princeton University53
TL;DR: In this paper, the authors describe a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans and their biology, evolution, and ecology.
Abstract: Current sampling of genomic sequence data from eukaryotes is relatively poor, biased, and inadequate to address important questions about their biology, evolution, and ecology; this Community Page describes a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans.
852 citations
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TL;DR: It is reported here the widespread occurrence of a small, marine, chroococcalean cyanobacterium belonging to the genus Synechococcus.
Abstract: IN marked contrast to their freshwater counterparts, marine planktonic cyanobacteria are restricted to a few nostocalean genera, of which only Trichodesmium is capable of forming extensive water blooms1–3. We report here the widespread occurrence of a small, marine, chroococcalean cyanobacterium belonging to the genus Synechococcus.
851 citations
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Princeton University1, Duke University2, Centre national de la recherche scientifique3, Woods Hole Oceanographic Institution4, Commonwealth Scientific and Industrial Research Organisation5, National Center for Atmospheric Research6, Hobart Corporation7, Max Planck Society8, Saint Petersburg State University9, Hadley Centre for Climate Prediction and Research10, Geophysical Fluid Dynamics Laboratory11
TL;DR: In this article, the authors examined six coupled climate model simulations to determine the ocean biological response to climate warming between the beginning of the industrial revolution and 2050, and found that global warming leads to a contraction of the highly productive marginal sea ice biome by 42% in the Northern Hemisphere and 17% in Southern Hemisphere, and leads to an expansion of the low productivity permanently stratified subtropical gyre biome by 4.0% in both hemispheres.
Abstract: [1] We examine six different coupled climate model simulations to determine the ocean biological response to climate warming between the beginning of the industrial revolution and 2050. We use vertical velocity, maximum winter mixed layer depth, and sea ice cover to define six biomes. Climate warming leads to a contraction of the highly productive marginal sea ice biome by 42% in the Northern Hemisphere and 17% in the Southern Hemisphere, and leads to an expansion of the low productivity permanently stratified subtropical gyre biome by 4.0% in the Northern Hemisphere and 9.4% in the Southern Hemisphere. In between these, the subpolar gyre biome expands by 16% in the Northern Hemisphere and 7% in the Southern Hemisphere, and the seasonally stratified subtropical gyre contracts by 11% in both hemispheres. The low-latitude (mostly coastal) upwelling biome area changes only modestly. Vertical stratification increases, which would be expected to decrease nutrient supply everywhere, but increase the growing season length in high latitudes. We use satellite ocean color and climatological observations to develop an empirical model for predicting chlorophyll from the physical properties of the global warming simulations. Four features stand out in the response to global warming: (1) a drop in chlorophyll in the North Pacific due primarily to retreat of the marginal sea ice biome, (2) a tendency toward an increase in chlorophyll in the North Atlantic due to a complex combination of factors, (3) an increase in chlorophyll in the Southern Ocean due primarily to the retreat of and changes at the northern boundary of the marginal sea ice zone, and (4) a tendency toward a decrease in chlorophyll adjacent to the Antarctic continent due primarily to freshening within the marginal sea ice zone. We use three different primary production algorithms to estimate the response of primary production to climate warming based on our estimated chlorophyll concentrations. The three algorithms give a global increase in primary production of 0.7% at the low end to 8.1% at the high end, with very large regional differences. The main cause of both the response to warming and the variation between algorithms is the temperature sensitivity of the primary production algorithms. We also show results for the period between the industrial revolution and 2050 and 2090.
847 citations
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TL;DR: In this article, a 6-year sediment trap time series in the Sargasso Sea was used to define the sensitivity of foraminiferal Mg/Ca to calcification temperature.
Abstract: [1] Paired Mg/Ca and δ18O measurements on planktonic foraminiferal species (G. ruber white, G. ruber pink, G. sacculifer, G. conglobatus, G. aequilateralis, O. universa, N. dutertrei, P. obliquiloculata, G. inflata, G. truncatulinoides, G. hirsuta, and G. crassaformis) from a 6-year sediment trap time series in the Sargasso Sea were used to define the sensitivity of foraminiferal Mg/Ca to calcification temperature. Habitat depths and calcification temperatures were estimated from comparison of δ18O of foraminifera with equilibrium calcite, based on historical temperature and salinity data. When considered together, Mg/Ca (mmol/mol) of all species, except two, show a significant (r = 0.93) relationship with temperature (T °C) of the form Mg/Ca = 0.38 (±0.02) exp 0.090 (±0.003)T, equivalent to a 9.0 ± 0.3% change in Mg/Ca for a 1°C change in temperature. Small differences exist in calibrations between species and between different size fractions of the same species. O. universa and G. aequilateralis have higher Mg/Ca than other species, and in general, data can be best described with the same temperature sensitivity for all species and pre-exponential constants in the sequence O. universa > G. aequilateralis ≈ G. bulloides > G. ruber ≈ G. sacculifer ≈ other species. This approach gives an accuracy of ±1.2°C in the estimation of calcification temperature. The ∼9% sensitivity to temperature is similar to published studies from culture and core top calibrations, but differences exist from some literature values of pre-exponential constants. Different cleaning methodologies and artefacts of core top dissolution are probably implicated, and perhaps environmental factors yet understood. Planktonic foraminiferal Mg/Ca temperature estimates can be used for reconstructing surface temperatures and mixed and thermocline temperatures (using G. ruber pink, G. ruber white, G. sacculifer, N. dutertrei, P. obliquiloculata, etc.). The existence of a single Mg thermometry equation is valuable for extinct species, although use of species-specific equations will, where statistically significant, provide more accurate evaluation of Mg/Ca paleotemperature.
846 citations
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Florida State University1, International Atomic Energy Agency2, University of Palermo3, Stony Brook University4, Louisiana State University5, Woods Hole Oceanographic Institution6, Shirshov Institute of Oceanology7, South Florida Water Management District8, University of Western Australia9, University of South Carolina10, San Jose State University11, Hacettepe University12, National Research Council13, University of Ljubljana14, University of Mauritius15, James Cook University16, Commonwealth Scientific and Industrial Research Organisation17
TL;DR: While the process is essentially ubiquitous in coastal areas, the assessment of its magnitude at any one location is subject to enough variability that measurements should be made by a variety of techniques and over large enough spatial and temporal scales to capture the majority of these changing conditions.
838 citations
Authors
Showing all 5752 results
Name | H-index | Papers | Citations |
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Roberto Romero | 151 | 1516 | 108321 |
Jerry M. Melillo | 134 | 383 | 68894 |
Timothy J. Mitchison | 133 | 404 | 66418 |
Xiaoou Tang | 132 | 553 | 94555 |
Jillian F. Banfield | 127 | 562 | 60687 |
Matthew Jones | 125 | 1161 | 96909 |
Rodolfo R. Llinás | 120 | 386 | 52828 |
Ronald D. Vale | 117 | 342 | 49020 |
Scott C. Doney | 111 | 406 | 59218 |
Alan G. Marshall | 107 | 1060 | 46904 |
Peter K. Smith | 107 | 855 | 49174 |
Donald E. Canfield | 105 | 298 | 43270 |
Edward F. DeLong | 102 | 262 | 42794 |
Eric A. Davidson | 101 | 281 | 45511 |
Gary G. Borisy | 101 | 248 | 38195 |