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Institution

Commonwealth Scientific and Industrial Research Organisation

GovernmentCanberra, Australian Capital Territory, Australia
About: Commonwealth Scientific and Industrial Research Organisation is a government organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Population & Soil water. The organization has 33765 authors who have published 79910 publications receiving 3356114 citations.


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Journal ArticleDOI
TL;DR: In this article, the authors used climate, water, economic, and remote sensing data combined with biophysical modeling to understand the drivers of the "Millennium Drought" and its impacts.
Abstract: [1] The “Millennium Drought” (2001–2009) can be described as the worst drought on record for southeast Australia. Adaptation to future severe droughts requires insight into the drivers of the drought and its impacts. These were analyzed using climate, water, economic, and remote sensing data combined with biophysical modeling. Prevailing El Nino conditions explained about two thirds of rainfall deficit in east Australia. Results for south Australia were inconclusive; a contribution from global climate change remains plausible but unproven. Natural processes changed the timing and magnitude of soil moisture, streamflow, and groundwater deficits by up to several years, and caused the amplification of rainfall declines in streamflow to be greater than in normal dry years. By design, river management avoided impacts on some categories of water users, but did so by exacerbating the impacts on annual irrigation agriculture and, in particular, river ecosystems. Relative rainfall reductions were amplified 1.5–1.7 times in dryland wheat yields, but the impact was offset by steady increases in cropping area and crop water use efficiency (perhaps partly due to CO2 fertilization). Impacts beyond the agricultural sector occurred (e.g., forestry, tourism, utilities) but were often diffuse and not well quantified. Key causative pathways from physical drought to the degradation of ecological, economic, and social health remain poorly understood and quantified. Combined with the multiple dimensions of multiyear droughts and the specter of climate change, this means future droughts may well break records in ever new ways and not necessarily be managed better than past ones.

989 citations

Journal ArticleDOI
TL;DR: In this article, the overall role of climate change, water scarcity, and population growth in redefining global food security is examined, which reveals that the water for food security situation is intricate and might get daunting if no action is taken.

988 citations

Journal ArticleDOI
TL;DR: The wealth of knowledge currently available that best explains the formation of these important nuclear anomalies that are commonly seen in cancer and are indicative of genome damage events that could increase the risk of developmental and degenerative diseases are summarized.
Abstract: Micronuclei (MN) and other nuclear anomalies such as nucleoplasmic bridges (NPBs) and nuclear buds (NBUDs) are biomarkers of genotoxic events and chromosomal instability. These genome damage events can be measured simultaneously in the cytokinesis-block micronucleus cytome (CBMNcyt) assay. The molecular mechanisms leading to these events have been investigated over the past two decades using molecular probes and genetically engineered cells. In this brief review, we summarise the wealth of knowledge currently available that best explains the formation of these important nuclear anomalies that are commonly seen in cancer and are indicative of genome damage events that could increase the risk of developmental and degenerative diseases. MN can originate during anaphase from lagging acentric chromosome or chromatid fragments caused by misrepair of DNA breaks or unrepaired DNA breaks. Malsegregation of whole chromosomes at anaphase may also lead to MN formation as a result of hypomethylation of repeat sequences in centromeric and pericentromeric DNA, defects in kinetochore proteins or assembly, dysfunctional spindle and defective anaphase checkpoint genes. NPB originate from dicentric chromosomes, which may occur due to misrepair of DNA breaks, telomere end fusions, and could also be observed when defective separation of sister chromatids at anaphase occurs due to failure of decatenation. NBUD represent the process of elimination of amplified DNA, DNA repair complexes and possibly excess chromosomes from aneuploid cells.

982 citations

Journal ArticleDOI
Pierre Friedlingstein1, Pierre Friedlingstein2, Matthew W. Jones3, Michael O'Sullivan1, Robbie M. Andrew, Judith Hauck4, Glen P. Peters, Wouter Peters5, Wouter Peters6, Julia Pongratz7, Julia Pongratz8, Stephen Sitch1, Corinne Le Quéré3, Dorothee C. E. Bakker3, Josep G. Canadell9, Philippe Ciais10, Robert B. Jackson11, Peter Anthoni12, Leticia Barbero13, Leticia Barbero14, Ana Bastos7, Vladislav Bastrikov10, Meike Becker15, Meike Becker16, Laurent Bopp2, Erik T. Buitenhuis3, Naveen Chandra17, Frédéric Chevallier10, Louise Chini18, Kim I. Currie19, Richard A. Feely20, Marion Gehlen10, Dennis Gilfillan21, Thanos Gkritzalis22, Daniel S. Goll23, Nicolas Gruber24, Sören B. Gutekunst25, Ian Harris26, Vanessa Haverd9, Richard A. Houghton27, George C. Hurtt18, Tatiana Ilyina8, Atul K. Jain28, Emilie Joetzjer10, Jed O. Kaplan29, Etsushi Kato, Kees Klein Goldewijk30, Kees Klein Goldewijk31, Jan Ivar Korsbakken, Peter Landschützer8, Siv K. Lauvset15, Nathalie Lefèvre32, Andrew Lenton33, Andrew Lenton34, Sebastian Lienert35, Danica Lombardozzi36, Gregg Marland21, Patrick C. McGuire37, Joe R. Melton, Nicolas Metzl32, David R. Munro38, Julia E. M. S. Nabel8, Shin-Ichiro Nakaoka39, Craig Neill34, Abdirahman M Omar34, Abdirahman M Omar15, Tsuneo Ono, Anna Peregon40, Anna Peregon10, Denis Pierrot14, Denis Pierrot13, Benjamin Poulter41, Gregor Rehder42, Laure Resplandy43, Eddy Robertson44, Christian Rödenbeck8, Roland Séférian10, Jörg Schwinger15, Jörg Schwinger30, Naomi E. Smith45, Naomi E. Smith6, Pieter P. Tans20, Hanqin Tian46, Bronte Tilbrook34, Bronte Tilbrook33, Francesco N. Tubiello47, Guido R. van der Werf48, Andy Wiltshire44, Sönke Zaehle8 
University of Exeter1, École Normale Supérieure2, Norwich Research Park3, Alfred Wegener Institute for Polar and Marine Research4, University of Groningen5, Wageningen University and Research Centre6, Ludwig Maximilian University of Munich7, Max Planck Society8, Commonwealth Scientific and Industrial Research Organisation9, Centre national de la recherche scientifique10, Stanford University11, Karlsruhe Institute of Technology12, Cooperative Institute for Marine and Atmospheric Studies13, Atlantic Oceanographic and Meteorological Laboratory14, Bjerknes Centre for Climate Research15, Geophysical Institute, University of Bergen16, Japan Agency for Marine-Earth Science and Technology17, University of Maryland, College Park18, National Institute of Water and Atmospheric Research19, National Oceanic and Atmospheric Administration20, Appalachian State University21, Flanders Marine Institute22, Augsburg College23, ETH Zurich24, Leibniz Institute of Marine Sciences25, University of East Anglia26, Woods Hole Research Center27, University of Illinois at Urbana–Champaign28, University of Hong Kong29, Netherlands Environmental Assessment Agency30, Utrecht University31, University of Paris32, University of Tasmania33, Hobart Corporation34, University of Bern35, National Center for Atmospheric Research36, University of Reading37, Cooperative Institute for Research in Environmental Sciences38, National Institute for Environmental Studies39, Russian Academy of Sciences40, Goddard Space Flight Center41, Leibniz Institute for Baltic Sea Research42, Princeton University43, Met Office44, Lund University45, Auburn University46, Food and Agriculture Organization47, VU University Amsterdam48
TL;DR: In this article, the authors describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land use change, and show that the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere is a measure of imperfect data and understanding of the contemporary carbon cycle.
Abstract: . Accurate assessment of anthropogenic carbon dioxide ( CO2 ) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions ( EFF ) are based on energy statistics and cement production data, while emissions from land use change ( ELUC ), mainly deforestation, are based on land use and land use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate ( GATM ) is computed from the annual changes in concentration. The ocean CO2 sink ( SOCEAN ) and terrestrial CO2 sink ( SLAND ) are estimated with global process models constrained by observations. The resulting carbon budget imbalance ( BIM ), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ . For the last decade available (2009–2018), EFF was 9.5±0.5 GtC yr −1 , ELUC 1.5±0.7 GtC yr −1 , GATM 4.9±0.02 GtC yr −1 ( 2.3±0.01 ppm yr −1 ), SOCEAN 2.5±0.6 GtC yr −1 , and SLAND 3.2±0.6 GtC yr −1 , with a budget imbalance BIM of 0.4 GtC yr −1 indicating overestimated emissions and/or underestimated sinks. For the year 2018 alone, the growth in EFF was about 2.1 % and fossil emissions increased to 10.0±0.5 GtC yr −1 , reaching 10 GtC yr −1 for the first time in history, ELUC was 1.5±0.7 GtC yr −1 , for total anthropogenic CO2 emissions of 11.5±0.9 GtC yr −1 ( 42.5±3.3 GtCO2 ). Also for 2018, GATM was 5.1±0.2 GtC yr −1 ( 2.4±0.1 ppm yr −1 ), SOCEAN was 2.6±0.6 GtC yr −1 , and SLAND was 3.5±0.7 GtC yr −1 , with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 407.38±0.1 ppm averaged over 2018. For 2019, preliminary data for the first 6–10 months indicate a reduced growth in EFF of +0.6 % (range of −0.2 % to 1.5 %) based on national emissions projections for China, the USA, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. Overall, the mean and trend in the five components of the global carbon budget are consistently estimated over the period 1959–2018, but discrepancies of up to 1 GtC yr −1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations shows (1) no consensus in the mean and trend in land use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Le Quere et al., 2018a, b, 2016, 2015a, b, 2014, 2013). The data generated by this work are available at https://doi.org/10.18160/gcp-2019 (Friedlingstein et al., 2019).

981 citations

Journal ArticleDOI
TL;DR: La difference de phase entre les 2 faisceaux interferant varie de maniere connue et on fait des mesures de the distribution d'intensite a travers la pupille correspondant a au moins 3 dephasages differents.
Abstract: La difference de phase entre les 2 faisceaux interferant varie de maniere connue et on fait des mesures de la distribution d'intensite a travers la pupille correspondant a au moins 3 dephasages differents

979 citations


Authors

Showing all 33864 results

NameH-indexPapersCitations
David R. Williams1782034138789
Mark E. Cooper1581463124887
Kevin J. Gaston15075085635
Liming Dai14178182937
John D. Potter13779575310
Lei Zhang135224099365
Harold A. Mooney135450100404
Frederick M. Ausubel13338960365
Rajkumar Buyya133106695164
Robert B. Jackson13245891332
Peter Hall132164085019
Frank Caruso13164161748
Paul J. Crutzen13046180651
Andrew Y. Ng130345164995
Lei Zhang130231286950
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022223
20213,358
20203,613
20193,600
20183,262