scispace - formally typeset
Search or ask a question
Institution

Cooperative Research Centre

About: Cooperative Research Centre is a based out in . It is known for research contribution in the topics: Population & Sea ice. The organization has 7633 authors who have published 8607 publications receiving 429721 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: The experience from CO2 injection at pilot projects (Frio, Ketzin, Nagaoka, US Regional Partnerships) and existing commercial operations (Sleipner, Snohvit, In Salah, acid-gas injection) demonstrates that CO2 geological storage in saline aquifers is technologically feasible.

528 citations

Journal ArticleDOI
TL;DR: It is suggested that virus-encoded IL-4 not only suppresses primary antiviral cell-mediated immune responses but also can inhibit the expression of immune memory responses, similar to the disease seen when genetically sensitive mice are infected with the virulent Moscow strain.
Abstract: Genetic resistance to clinical mousepox (ectromelia virus) varies among inbred laboratory mice and is characterized by an effective natural killer (NK) response and the early onset of a strong CD8 1 cytotoxic T-lymphocyte (CTL) response in resistant mice. We have investigated the influence of virus-expressed mouse interleukin-4 (IL-4) on the cell-mediated response during infection. It was observed that expression of IL-4 by a thymidine kinase-positive ectromelia virus suppressed cytolytic responses of NK and CTL and the expression of gamma interferon by the latter. Genetically resistant mice infected with the IL-4-expressing virus developed symptoms of acute mousepox accompanied by high mortality, similar to the disease seen when genetically sensitive mice are infected with the virulent Moscow strain. Strikingly, infection of recently immunized genetically resistant mice with the virus expressing IL-4 also resulted in significant mortality due to fulminant mousepox. These data therefore suggest that virus-encoded IL-4 not only suppresses primary antiviral cellmediated immune responses but also can inhibit the expression of immune memory responses. Ectromelia virus (ECTV; family Poxviridae, genus Orthopoxvirus) is a natural pathogen of laboratory mice that causes a generalized disease termed mousepox (13). All mice are equally susceptible to infection by footpad inoculation; however, development of clinical mousepox among inbred mouse strains differs greatly (44). In mousepox-sensitive (e.g., BALB/c) mice, the disease is an acute systemic infection with high viral titers in the liver and spleen with resultant necrosis and high mortality. In contrast, infection of mousepox-resistant (e.g., C57BL/6) mice is usually subclinical, with lower levels of viral replication in the visceral organs and development of nonfatal lesions. Genetic resistance has been found to act through the combined activity of innate host defenses including natural killer (NK) cells, alpha interferon (IFN-a), IFN-b, IFN-g, ac

525 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined a wide range of satellite-derived SST variables to determine which one best correlated with the observed bleaching patterns, and found that the maximum SST occurring over any 3-day period (max3d) during the bleaching season predicted bleaching better than anomaly-based variables and that short averaging periods (3-6 days) predicted the presence/absence of bleaching with an accuracy of 732%
Abstract: Detailed mapping of coral bleaching events provides an opportunity to examine spatial patterns in bleaching over scales of 10 s to 1,000 s of km and the spatial correlation between sea surface temperature (SST) and bleaching We present data for two large-scale (2,000 km) bleaching events on the Great Barrier Reef (GBR): one from 1998 and another from 2002, both mapped by aerial survey methods We examined a wide range of satellite-derived SST variables to determine which one best correlated with the observed bleaching patterns We found that the maximum SST occurring over any 3-day period (max3d) during the bleaching season predicted bleaching better than anomaly-based SST variables and that short averaging periods (3–6 days) predicted bleaching better than longer averaging periods Short periods of high temperature are therefore highly stressful to corals and result in highly predictable bleaching patterns Max3d SST predicted the presence/absence of bleaching with an accuracy of 732% Large-scale (GBR-wide) spatial patterns of bleaching were similar between 1998 and 2002 with more inshore reefs bleached compared to offshore reefs Spatial change in patterns of bleaching occurred at scales of ~10 s km, indicating that reefs bleach (or not) in spatial clusters, possibly due to local weather patterns, oceanographic conditions, or both Approximately 42% of reefs bleached to some extent in 1998 with ~18% strongly bleached, while in 2002, ~54% of reefs bleached to some extent with ~18% strongly bleached These statistics and the fact that nearly twice as many offshore reefs bleached in 2002 compared to 1998 (41 vs 21%, respectively) makes the 2002 event the worst bleaching event on record for the GBR Modeling of the relationship between bleaching and max3d SST indicates that a 1 °C increase would increase the bleaching occurrence of reefs from 50% (approximate occurrence in 1998 and 2002) to 82%, while a 2 °C increase would increase the occurrence to 97% and a 3 °C increase to 100% These results suggest that coral reefs are profoundly sensitive to even modest increases in temperature and, in the absence of acclimatization/adaptation, are likely to suffer large declines under mid-range International Panel for Climate Change predictions by 2050

524 citations

Journal ArticleDOI
TL;DR: This review identifies the critical stages which affect the translocation of water into the extra-myofibrillar space and thus the potential for decreased WHC during proteolysis and discusses how the intrinsic properties of the water held within the meat could contribute to juiciness and tenderness.

524 citations

Journal ArticleDOI
TL;DR: In this article, the authors identify four key elements required to make this model succeed: existing and planned water projects represent opportunities to conduct ecosystem-scale experiments through controlled river flow manipulations; more cooperative interactions among scientists, managers, and other stakeholders are critical; experimental results must be synthesized across studies to allow broader generalization; and new, innovative funding partnerships are needed to engage scientists and to broadly involve the government, the private sector, and NGOs.
Abstract: Real and apparent conflicts between ecosystem and human needs for fresh water are contributing to the emergence of an alternative model for conducting river science around the world. The core of this new paradigm emphasizes the need to forge new partnerships between scientists and other stakeholders where shared ecological goals and river visions are developed, and the need for new experimental approaches to advance scientific understanding at the scales relevant to whole-river management. We identify four key elements required to make this model succeed: existing and planned water projects represent opportunities to conduct ecosystem-scale experiments through controlled river flow manipulations; more cooperative interactions among scientists, managers, and other stakeholders are critical; experimental results must be synthesized across studies to allow broader generalization; and new, innovative funding partnerships are needed to engage scientists and to broadly involve the government, the private sector, and NGOs.

523 citations


Authors

Showing all 7633 results

NameH-indexPapersCitations
Eric N. Olson206814144586
Nicholas G. Martin1921770161952
Grant W. Montgomery157926108118
Paul Mitchell146137895659
James Whelan12878689180
Shaobin Wang12687252463
Graham D. Farquhar12436875181
Jie Jin Wang12071954587
Christos Pantelis12072356374
John J. McGrath120791124804
David B. Lindenmayer11995459129
Ashley I. Bush11656057009
Yong-Guan Zhu11568446973
Ary A. Hoffmann11390755354
David A. Hume11357359932
Network Information
Related Institutions (5)
University of Queensland
155.7K papers, 5.7M citations

92% related

University of Melbourne
174.8K papers, 6.3M citations

90% related

University of Sydney
187.3K papers, 6.1M citations

89% related

University of New South Wales
153.6K papers, 4.8M citations

89% related

Australian National University
109.2K papers, 4.3M citations

89% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202211
2021243
2020284
2019300
2018327
2017419