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  • Articles  (37)
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  • Nature Publishing Group (NPG)  (37)
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  • 1
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    Nature Publishing Group (NPG)
    Publication Date: 2010-11-05
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lunt, Dan -- England -- Nature. 2010 Nov 4;468(7320):37. doi: 10.1038/468037c.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21048749" target="_blank"〉PubMed〈/a〉
    Keywords: Computer Simulation ; Ecology ; *Periodicals as Topic/trends ; *Publishing/trends ; *Software/standards
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
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    Nature Publishing Group (NPG)
    Publication Date: 2010-06-04
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schrope, Mark -- England -- Nature. 2010 Jun 3;465(7298):540-2. doi: 10.1038/465540a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20520684" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Conservation of Natural Resources/economics/legislation & jurisprudence/*methods ; Ecology ; Fisheries/economics/legislation & jurisprudence/*methods/statistics & numerical ; data ; Fishes/physiology ; Marine Biology ; New England
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    Nature Publishing Group (NPG)
    Publication Date: 2010-05-14
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2010 May 13;465(7295):135-6. doi: 10.1038/465135b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20463694" target="_blank"〉PubMed〈/a〉
    Keywords: Ecology ; *Global Warming ; Humans ; Research Personnel/*legislation & jurisprudence ; *State Government ; Universities/*legislation & jurisprudence ; Virginia
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
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    Nature Publishing Group (NPG)
    Publication Date: 2010-08-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schrope, Mark -- England -- Nature. 2010 Aug 12;466(7308):802. doi: 10.1038/466802a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20703275" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Disasters/*statistics & numerical data ; Ecology ; *Ecosystem ; Marine Biology ; Oceanography ; Oceans and Seas ; Petroleum/adverse effects/*analysis ; Reproducibility of Results ; Seawater/*chemistry ; *Uncertainty ; Volatilization
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
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    Nature Publishing Group (NPG)
    Publication Date: 2010-05-21
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schrope, Mark -- England -- Nature. 2010 May 20;465(7296):274-5. doi: 10.1038/465274a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20485402" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Disasters ; Ecology ; Ecosystem ; Geologic Sediments/chemistry ; Marine Biology ; Oceans and Seas ; Petroleum/adverse effects/*analysis/supply & distribution/toxicity ; Seawater/*chemistry ; *Ships ; Water Movements
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
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    Nature Publishing Group (NPG)
    Publication Date: 2008-02-29
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Qiu, Jane -- England -- Nature. 2008 Feb 28;451(7182):1034-5. doi: 10.1038/4511034b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18305500" target="_blank"〉PubMed〈/a〉
    Keywords: Animal Migration ; Animals ; *Antelopes/physiology ; China ; Ecology ; *Ecosystem ; *Fraud ; *Photography/standards ; *Railroads ; Tibet
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2008-02-15
    Description: Magnani et al. present a very strong correlation between mean lifetime net ecosystem production (NEP, defined as the net rate of carbon (C) accumulation in ecosystems) and wet nitrogen (N) deposition. For their data in the range 4.9-9.8 kg N ha(-1) yr(-1), on which the correlation largely depends, the response is approximately 725 kg C per kg N in wet deposition. According to the authors, the maximum N wet deposition level of 9.8 kg N ha(-1) yr(-1) is equivalent to a total deposition of 15 kg N ha(-1 )yr(-1), implying a net sequestration near 470 kg C per kg N of total deposition. We question the ecological plausibility of the relationship and show, from a multi-factor analysis of European forest measurements, how interactions with site productivity and environment imply a much smaller NEP response to N deposition.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉de Vries, Wim -- Solberg, Svein -- Dobbertin, Matthias -- Sterba, Hubert -- Laubhahn, Daniel -- Reinds, Gert Jan -- Nabuurs, Gert-Jan -- Gundersen, Per -- Sutton, Mark A -- England -- Nature. 2008 Feb 14;451(7180):E1-3; discussion E3-4. doi: 10.1038/nature06579.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Alterra, Wageningen University and Research Centre, PO Box 47, 6700 AA Wageningen, The Netherlands. wim.devries@wur.nl〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18272968" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon/*metabolism ; Ecology ; *Ecosystem ; Europe ; Nitrogen/metabolism ; Trees/metabolism
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2008-08-30
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Harte, John -- England -- Nature. 2008 Aug 28;454(7208):1033. doi: 10.1038/4541033e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of California, Berkeley, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18756215" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biodiversity ; Birds/physiology ; Ecology ; *Greenhouse Effect ; *Models, Biological
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2008-09-12
    Description: Given the difficulty of testing evolutionary and ecological theory in situ, in vitro model systems are attractive alternatives; however, can we appraise whether an experimental result is particular to the in vitro model, and, if so, characterize the systems likely to behave differently and understand why? Here we examine these issues using the relationship between phenotypic diversity and resource input in the T7-Escherichia coli co-evolving system as a case history. We establish a mathematical model of this interaction, framed as one instance of a super-class of host-parasite co-evolutionary models, and show that it captures experimental results. By tuning this model, we then ask how diversity as a function of resource input could behave for alternative co-evolving partners (for example, E. coli with lambda bacteriophages). In contrast to populations lacking bacteriophages, variation in diversity with differences in resources is always found for co-evolving populations, supporting the geographic mosaic theory of co-evolution. The form of this variation is not, however, universal. Details of infectivity are pivotal: in T7-E. coli with a modified gene-for-gene interaction, diversity is low at high resource input, whereas, for matching-allele interactions, maximal diversity is found at high resource input. A combination of in vitro systems and appropriately configured mathematical models is an effective means to isolate results particular to the in vitro system, to characterize systems likely to behave differently and to understand the biology underpinning those alternatives.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Forde, Samantha E -- Beardmore, Robert E -- Gudelj, Ivana -- Arkin, Sinan S -- Thompson, John N -- Hurst, Laurence D -- G0802611/Medical Research Council/United Kingdom -- England -- Nature. 2008 Sep 11;455(7210):220-3. doi: 10.1038/nature07152.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, California 95064, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18784724" target="_blank"〉PubMed〈/a〉
    Keywords: Bacteriophage T7/genetics/pathogenicity/*physiology ; *Biological Evolution ; Ecology ; Escherichia coli/genetics/*virology ; Genetic Variation ; Host-Pathogen Interactions ; *Models, Biological ; Phenotype ; Virulence/genetics
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2008-12-05
    Description: In theoretical ecology, simple stochastic models that satisfy two basic conditions about the distribution of niche values and feeding ranges have proved successful in reproducing the overall structural properties of real food webs, using species richness and connectance as the only input parameters. Recently, more detailed models have incorporated higher levels of constraint in order to reproduce the actual links observed in real food webs. Here, building on previous stochastic models of consumer-resource interactions between species, we propose a highly parsimonious model that can reproduce the overall bipartite structure of cooperative partner-partner interactions, as exemplified by plant-animal mutualistic networks. Our stochastic model of bipartite cooperation uses simple specialization and interaction rules, and only requires three empirical input parameters. We test the bipartite cooperation model on ten large pollination data sets that have been compiled in the literature, and find that it successfully replicates the degree distribution, nestedness and modularity of the empirical networks. These properties are regarded as key to understanding cooperation in mutualistic networks. We also apply our model to an extensive data set of two classes of company engaged in joint production in the garment industry. Using the same metrics, we find that the network of manufacturer-contractor interactions exhibits similar structural patterns to plant-animal pollination networks. This surprising correspondence between ecological and organizational networks suggests that the simple rules of cooperation that generate bipartite networks may be generic, and could prove relevant in many different domains, ranging from biological systems to human society.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Saavedra, Serguei -- Reed-Tsochas, Felix -- Uzzi, Brian -- England -- Nature. 2009 Jan 22;457(7228):463-6. doi: 10.1038/nature07532. Epub 2008 Dec 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19052545" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Computer Simulation ; Ecology ; *Food Chain ; *Models, Biological ; Plant Physiological Phenomena ; Stochastic Processes ; Symbiosis
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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