scispace - formally typeset
Search or ask a question
Institution

Spanish National Research Council

GovernmentMadrid, Spain
About: Spanish National Research Council is a government organization based out in Madrid, Spain. It is known for research contribution in the topics: Population & Galaxy. The organization has 79563 authors who have published 220470 publications receiving 7698991 citations. The organization is also known as: CSIC & Consejo Superior de Investigaciones Científicas.
Topics: Population, Galaxy, Catalysis, Stars, Star formation


Papers
More filters
Journal ArticleDOI
01 Feb 1995-Ophelia
TL;DR: Submerged vegetation respond to increased nutrient loading through a shift from slow-growing seagrasses and large Macroalgae to fast-growing macroalgae, and the ultimate dominance of phytoplankton at high nutrient loadings, which reflects a change from nutrient to light limitation along the eutrophication gradient.
Abstract: Submerged vegetation respond to increased nutrient loading through a shift from slow-growing seagrasses and large macroalgae to fast-growing macroalgae, and the ultimate dominance of phytoplankton at high nutrient loadings. This shift reflects a change from nutrient to light limitation along the eutrophication gradient. Slow-growing seagrasses and large macroalgae are good competitors when nutrients are limiting because they have relatively low nutrient requirements, are able of efficient internal nutrient recycling, and can access the elevated nutrient pools in the sediment. Fast-growing macroalgae and phytoplankton are superior competitors when light is limiting because they are positioned closer to the water surface, and capture and use light more efficiently. The important ecosystem consequences of altered nutrient regimes derive from the shift in dominant vegetation types. Slow-growing seagrasses and large macroalgae are longevous, decompose slowly, and experience only moderate grazing losse...

896 citations

Journal ArticleDOI
TL;DR: In this article, the authors explore the relationship between current European distributions of amphibian and reptile species and observed climate, and project species potential distributions into the future by quantifying the magnitude and direction of modelled distributional shifts for every species.
Abstract: Aim We explore the relationship between current European distributions of amphibian and reptile species and observed climate, and project species potential distributions into the future. Potential impacts of climate warming are assessed by quantifying the magnitude and direction of modelled distributional shifts for every species. In particular we ask, first, what proportion of amphibian and reptile species are projected to lose and gain suitable climate space in the future? Secondly, do species projections vary according to taxonomic, spatial or environmental properties? And thirdly, what climate factors might be driving projections of loss or gain in suitable environments for species?

895 citations

Journal ArticleDOI
24 Nov 2011-Nature
TL;DR: The Tetranychus urticae genome is the smallest known arthropod genome as discussed by the authors, which represents the first complete chelicerate genome for a pest and has been annotated with genes associated with feeding on different hosts.
Abstract: The spider mite Tetranychus urticae is a cosmopolitan agricultural pest with an extensive host plant range and an extreme record of pesticide resistance. Here we present the completely sequenced and annotated spider mite genome, representing the first complete chelicerate genome. At 90 megabases T. urticae has the smallest sequenced arthropod genome. Compared with other arthropods, the spider mite genome shows unique changes in the hormonal environment and organization of the Hox complex, and also reveals evolutionary innovation of silk production. We find strong signatures of polyphagy and detoxification in gene families associated with feeding on different hosts and in new gene families acquired by lateral gene transfer. Deep transcriptome analysis of mites feeding on different plants shows how this pest responds to a changing host environment. The T. urticae genome thus offers new insights into arthropod evolution and plant-herbivore interactions, and provides unique opportunities for developing novel plant protection strategies.

894 citations

Journal ArticleDOI
A. A. Abdo1, Markus Ackermann2, Marco Ajello2, Magnus Axelsson3  +198 moreInstitutions (28)
TL;DR: In this article, the Fermi Large Area Telescope (Fermi LAT) was used to detect the electron spectrum up to 1 TeV using a diffusive model and a potential local extra component.
Abstract: Designed as a high-sensitivity gamma-ray observatory, the Fermi Large Area Telescope is also an electron detector with a large acceptance exceeding 2 m2 sr at 300 GeV. Building on the gamma-ray analysis, we have developed an efficient electron detection strategy which provides sufficient background rejection for measurement of the steeply falling electron spectrum up to 1 TeV. Our high precision data show that the electron spectrum falls with energy as E-3.0 and does not exhibit prominent spectral features. Interpretations in terms of a conventional diffusive model as well as a potential local extra component are briefly discussed.

890 citations


Authors

Showing all 79686 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
George Efstathiou187637156228
Peidong Yang183562144351
H. S. Chen1792401178529
David R. Williams1782034138789
Andrea Bocci1722402176461
Adrian L. Harris1701084120365
Gang Chen1673372149819
Gregory J. Hannon165421140456
Alvaro Pascual-Leone16596998251
Jorge E. Cortes1632784124154
Dongyuan Zhao160872106451
John B. Goodenough1511064113741
David D'Enterria1501592116210
A. Gomes1501862113951
Network Information
Related Institutions (5)
Centre national de la recherche scientifique
382.4K papers, 13.6M citations

95% related

University of Barcelona
108.5K papers, 3.7M citations

93% related

Max Planck Society
406.2K papers, 19.5M citations

93% related

Chinese Academy of Sciences
634.8K papers, 14.8M citations

93% related

University of Padua
114.8K papers, 3.6M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202371
2022463
202111,933
202012,584
201911,596