Institution
Paul Sabatier University
Education•Toulouse, France•
About: Paul Sabatier University is a education organization based out in Toulouse, France. It is known for research contribution in the topics: Population & Catalysis. The organization has 15431 authors who have published 23386 publications receiving 858364 citations.
Topics: Population, Catalysis, Context (language use), Adipose tissue, Electron
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, a singular value decomposition method with a Monte Carlo search algorithm was used to analyse the mid- infrared ISOCAMspectral maps of photodissociation regions (PDRs) in NGC 7023 and ρ Oph-SR3.
Abstract: We have coupled a singular value decomposition method with a Monte Carlo search algorithm to analyse the mid- infrared ISOCAMspectral maps of photodissociation regions (PDRs) in NGC 7023 and ρ Oph-SR3.Three different spectra and their associated spatial distribution were extracted from this analysis. It is shown that they can be associated with polycyclic aromatic hydrocarbons (PAHs) in their cationic and neutral forms and a third population of carbonaceous very small grains (VSGs). The method allows for the first time (i) to separate the contribution of neutral PAHs to the interstellar emission spectrum from that of cationic PAHs; (ii) to show that the 7.8 µm component of the "7.7 µm" broad feature is carried by VSGs, whereas the 7.6 µm component is due to PAHs; and (iii) to give evidence that free-flying PAHs are produced in PDRs by photoevaporation of VSGs. It is proposed that these carbonaceous VSGs are indeed PAH clusters. We derived a minimal size of 400 carbon atoms per cluster and estimated a UV absorption power of the order of 10 −24 WC −1 for their dissociation.
222 citations
••
University of Leeds1, University College London2, University of Yaoundé I3, Paul Sabatier University4, United Nations Environment Programme5, National University of Saint Anthony the Abbot in Cuzco6, Center for International Forestry Research7, James Cook University8, Utrecht University9, Naturalis10, University of Stirling11, Forestry Commission12, Kagoshima University13, Federal University of Western Pará14, Universidade do Estado de Mato Grosso15, Duke University16, National Institute of Amazonian Research17, University of Exeter18, Harvard University19, Florida International University20, University of Edinburgh21, Gembloux Agro-Bio Tech22, Institut national de la recherche agronomique23, Wageningen University and Research Centre24, Central University of Ecuador25, National Park Service26, Smithsonian Institution27, Amazon.com28, Smithsonian Tropical Research Institute29, Université libre de Bruxelles30, University of Buea31, Wildlife Conservation Society32, State University of Campinas33, University of Vienna34, Venezuelan Institute for Scientific Research35, Royal Botanic Garden Edinburgh36, American Museum of Natural History37, Indonesian Institute of Sciences38, Malaysian Palm Oil Board39, Kyoto University40, George Mason University41, University of Kisangani42, University of Oxford43, Universidade Federal de Goiás44, University of York45, Boston University46, Swedish University of Agricultural Sciences47, Universiti Brunei Darussalam48, Museu Paraense Emílio Goeldi49, Ministry of Forestry50, Norwegian University of Life Sciences51, Universidade Federal do Acre52, World Wide Fund for Nature53, University of Toronto54, Yale University55, Northern Arizona University56, University of Southampton57, Bangor University58
TL;DR: In this article, a pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests.
Abstract: Tropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests. Diversity-carbon relationships among all plots at 1 ha scale across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). A weak positive relationship is detectable within 1 ha plots, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to conservation planning means that carbon-centred conservation strategies will inevitably miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both require explicit consideration when optimising policies to manage tropical carbon and biodiversity.
222 citations
••
TL;DR: This review will focus on data concerning the function of OPA1, mutations in which cause optic atrophy, with respect to the underlying pathophysiological processes.
221 citations
••
TL;DR: Box H/ACA RNAs represent an abundant, evolutionarily conserved class of small noncoding RNAs that are essential for three fundamental cellular processes: protein synthesis, mRNA splicing, and maintenance of genome integrity.
221 citations
••
TL;DR: Using mussel beds as a model ecosystem, the results imply that spatial self-organization is an important determinant of the structure and functioning of ecosystems, and it needs to be considered in their conservation.
Abstract: Spatial self-organization is the main theoretical explanation for the global occurrence of regular or otherwise coherent spatial patterns in ecosystems. Using mussel beds as a model ecosystem, we provide an experimental demonstration of spatial self-organization. Under homogeneous laboratory conditions, mussels developed regular patterns, similar to those in the field. An individual-based model derived from our experiments showed that interactions between individuals explained the observed patterns. Furthermore, a field study showed that pattern formation affected ecosystem-level processes in terms of improved growth and resistance to wave action. Our results imply that spatial self-organization is an important determinant of the structure and functioning of ecosystems, and it needs to be considered in their conservation.
221 citations
Authors
Showing all 15486 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yury Gogotsi | 171 | 956 | 144520 |
Tobin J. Marks | 159 | 1621 | 111604 |
L. Montier | 138 | 403 | 97094 |
Jean-Paul Kneib | 138 | 805 | 89287 |
Olivier Forni | 137 | 548 | 95819 |
J. Aumont | 131 | 299 | 95006 |
Julian I. Schroeder | 120 | 315 | 50323 |
Bruno Vellas | 118 | 1011 | 70667 |
Christopher G. Goetz | 116 | 651 | 59510 |
Didier Dubois | 113 | 742 | 54741 |
Alain Dufresne | 111 | 358 | 45904 |
Henri Prade | 108 | 917 | 54583 |
Louis Bernatchez | 106 | 568 | 35682 |
Walter Wahli | 105 | 365 | 49372 |
Patrice D. Cani | 100 | 370 | 49523 |