Institution
University of Maine
Education•Orono, Maine, United States•
About: University of Maine is a education organization based out in Orono, Maine, United States. It is known for research contribution in the topics: Population & Ice sheet. The organization has 8637 authors who have published 16932 publications receiving 590124 citations. The organization is also known as: University of Maine at Orono.
Topics: Population, Ice sheet, Climate change, Glacial period, Glacier
Papers published on a yearly basis
Papers
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TL;DR: It is shown that a dynamic eddying flow field subducts surface water with high concentrations of nonsinking POC, and can contribute as much as half of the total springtime export of POC from the highly productive subpolar oceans.
Abstract: The export of particulate organic carbon (POC) from the surface ocean to depth is traditionally ascribed to sinking. Here, we show that a dynamic eddying flow field subducts surface water with high concentrations of nonsinking POC. Autonomous observations made by gliders during the North Atlantic spring bloom reveal anomalous features at depths of 100 to 350 meters with elevated POC, chlorophyll, oxygen, and temperature-salinity characteristics of surface water. High-resolution modeling reveals that during the spring transition, intrusions of POC-rich surface water descend as coherent, 1- to 10-kilometer–scale filamentous features, often along the perimeter of eddies. Such a submesoscale eddy-driven flux of POC is unresolved in global carbon cycle models but can contribute as much as half of the total springtime export of POC from the highly productive subpolar oceans.
248 citations
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TL;DR: It is demonstrated that foreign organelle retention generates metabolic novelty (“green animals”) and is explained by anastomosis of distinct branches of the tree of life driven by predation and horizontal gene transfer.
Abstract: The sea slug Elysia chlorotica acquires plastids by ingestion of its algal food source Vaucheria litorea. Organelles are sequestered in the mollusc's digestive epithelium, where they photosynthesize for months in the absence of algal nucleocytoplasm. This is perplexing because plastid metabolism depends on the nuclear genome for >90% of the needed proteins. Two possible explanations for the persistence of photosynthesis in the sea slug are (i) the ability of V. litorea plastids to retain genetic autonomy and/or (ii) more likely, the mollusc provides the essential plastid proteins. Under the latter scenario, genes supporting photosynthesis have been acquired by the animal via horizontal gene transfer and the encoded proteins are retargeted to the plastid. We sequenced the plastid genome and confirmed that it lacks the full complement of genes required for photosynthesis. In support of the second scenario, we demonstrated that a nuclear gene of oxygenic photosynthesis, psbO, is expressed in the sea slug and has integrated into the germline. The source of psbO in the sea slug is V. litorea because this sequence is identical from the predator and prey genomes. Evidence that the transferred gene has integrated into sea slug nuclear DNA comes from the finding of a highly diverged psbO 3' flanking sequence in the algal and mollusc nuclear homologues and gene absence from the mitochondrial genome of E. chlorotica. We demonstrate that foreign organelle retention generates metabolic novelty ("green animals") and is explained by anastomosis of distinct branches of the tree of life driven by predation and horizontal gene transfer.
248 citations
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TL;DR: Remote sensing and Geographic Information Science techniques developed within the framework of GLIMS are addressed in order to fulfill the goals of this distributed project.
248 citations
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TL;DR: Five case studies illustrate the influence of various sources of uncertainty, level of ecological organisation, and organismal properties on temporal, spatial and phylogenetic forecast horizons and demonstrate that the ecological forecast horizon is a flexible and powerful tool for researching and communicating ecological predictability.
Abstract: Forecasts of ecological dynamics in changing environments are increasingly important, and are available for a plethora of variables, such as species abundance and distribution, community structure and ecosystem processes. There is, however, a general absence of knowledge about how far into the future, or other dimensions (space, temperature, phylogenetic distance), useful ecological forecasts can be made, and about how features of ecological systems relate to these distances. The ecological forecast horizon is the dimensional distance for which useful forecasts can be made. Five case studies illustrate the influence of various sources of uncertainty (e.g. parameter uncertainty, environmental variation, demographic stochasticity and evolution), level of ecological organisation (e.g. population or community), and organismal properties (e.g. body size or number of trophic links) on temporal, spatial and phylogenetic forecast horizons. Insights from these case studies demonstrate that the ecological forecast horizon is a flexible and powerful tool for researching and communicating ecological predictability. It also has potential for motivating and guiding agenda setting for ecological forecasting research and development.
247 citations
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TL;DR: In this paper, a 10 Be production-rate calibration derived from an early Holocene debris-flow deposit at about 1000m above sea level in the central Southern Alps, New Zealand, in the mid-latitude Southern Hemisphere was presented.
247 citations
Authors
Showing all 8729 results
Name | H-index | Papers | Citations |
---|---|---|---|
Clifford J. Rosen | 111 | 655 | 47881 |
Juan S. Bonifacino | 108 | 303 | 46554 |
John D. Aber | 107 | 204 | 48500 |
Surendra P. Shah | 99 | 710 | 32832 |
Charles T. Driscoll | 97 | 554 | 37355 |
Samuel Madden | 95 | 388 | 46424 |
Lihua Xiao | 93 | 495 | 32721 |
Patrick G. Hatcher | 91 | 401 | 27519 |
Pedro J. J. Alvarez | 89 | 378 | 34837 |
George R. Pettit | 89 | 848 | 31759 |
James R. Wilson | 89 | 1271 | 37470 |
Steven Girvin | 86 | 366 | 38963 |
Peter Marler | 81 | 174 | 22070 |
Garry R. Buettner | 80 | 304 | 29273 |
Paul Andrew Mayewski | 80 | 420 | 29356 |