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  • 1
    Publication Date: 2001-07-28
    Description: Both biotic interactions and abiotic random forcing are crucial influences on population dynamics. This frequently leads to roughly equal importance of deterministic and stochastic forces. The resulting tension between noise and determinism makes ecological dynamics unique, with conceptual and methodological challenges distinctive from those in other dynamical systems. The theory for stochastic, nonlinear ecological dynamics has been developed alongside methods to test models. A range of dynamical components has been considered-density dependence, environmental and demographic stochasticity, and climatic forcing-as well as their often complex interactions. We discuss recent advances in understanding ecological dynamics and testing theory using long-term data and review how dynamical forces interact to generate some central field and laboratory time series.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bjornstad, O N -- Grenfell, B T -- New York, N.Y. -- Science. 2001 Jul 27;293(5530):638-43.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Entomology, 501 ASI Building, Penn State University, University Park, PA 16802, USA. onb1@psu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11474099" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Animals, Wild/physiology ; Climate ; *Ecosystem ; Environment ; Models, Biological ; Models, Statistical ; Nonlinear Dynamics ; Population Dynamics ; Population Growth ; Stochastic Processes ; Time Factors
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2002-11-02
    Description: Spatially extended population models predict complex spatiotemporal patterns, such as spiral waves and spatial chaos, as a result of the reaction-diffusion dynamics that arise from trophic interactions. However, examples of such patterns in ecological systems are scarce. We develop a quantitative technique to demonstrate the existence of waves in Central European larch budmoth (Zeiraphera diniana Gn.) outbreaks. We show that these waves travel toward the northeast-east at 210 kilometers per year. A theoretical model involving a moth-enemy interaction predicts directional waves, but only if dispersal is directionally biased or habitat productivity varies across the landscape. Our study confirms that nonlinear ecological interactions can lead to complex spatial dynamics at a regional scale.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bjornstad, Ottar N -- Peltonen, Mikko -- Liebhold, Andrew M -- Baltensweiler, Werner -- New York, N.Y. -- Science. 2002 Nov 1;298(5595):1020-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Entomology and Biology, 501 ASI Building, Pennsylvania State University, University Park, PA 16802, USA. onb1@psu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12411704" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Ecology ; Ecosystem ; Emigration and Immigration ; Environment ; Europe ; Flight, Animal ; Host-Parasite Interactions ; *Larix ; Mathematics ; Models, Statistical ; *Moths/parasitology/physiology ; Nonlinear Dynamics ; Parasites/physiology ; Population Density ; Population Dynamics ; Statistics, Nonparametric ; Time Factors ; Trees
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-02-08
    Description: Although vaccination has almost eliminated measles in parts of the world, the disease remains a major killer in some high birth rate countries of the Sahel. On the basis of measles dynamics for industrialized countries, high birth rate regions should experience regular annual epidemics. Here, however, we show that measles epidemics in Niger are highly episodic, particularly in the capital Niamey. Models demonstrate that this variability arises from powerful seasonality in transmission-generating high amplitude epidemics-within the chaotic domain of deterministic dynamics. In practice, this leads to frequent stochastic fadeouts, interspersed with irregular, large epidemics. A metapopulation model illustrates how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts. Such erratic dynamics emphasize the importance both of control strategies that address build-up of susceptible individuals and efforts to mitigate the impact of large outbreaks when they occur.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ferrari, Matthew J -- Grais, Rebecca F -- Bharti, Nita -- Conlan, Andrew J K -- Bjornstad, Ottar N -- Wolfson, Lara J -- Guerin, Philippe J -- Djibo, Ali -- Grenfell, Bryan T -- England -- Nature. 2008 Feb 7;451(7179):679-84. doi: 10.1038/nature06509.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. mferrari@psu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18256664" target="_blank"〉PubMed〈/a〉
    Keywords: Disease Outbreaks/prevention & control ; Humans ; Measles/*epidemiology/prevention & control/*transmission/virology ; Measles Vaccine/administration & dosage/immunology ; Niger/epidemiology ; Rain ; Seasons ; Stochastic Processes ; Vaccination
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2011-08-20
    Description: Immune clearance and resource limitation (via red blood cell depletion) shape the peaks and troughs of malaria parasitemia, which in turn affect disease severity and transmission. Quantitatively partitioning the relative roles of these effects through time is challenging. Using data from rodent malaria, we estimated the effective propagation number, which reflects the relative importance of contrasting within-host control mechanisms through time and is sensitive to the inoculating parasite dose. Our analysis showed that the capacity of innate responses to restrict initial parasite growth saturates with parasite dose and that experimentally enhanced innate immunity can affect parasite density indirectly via resource depletion. Such a statistical approach offers a tool to improve targeting of drugs or vaccines for human therapy by revealing the dynamics and interactions of within-host regulatory mechanisms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891600/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891600/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Metcalf, C J E -- Graham, A L -- Huijben, S -- Barclay, V C -- Long, G H -- Grenfell, B T -- Read, A F -- Bjornstad, O N -- R01 GM089932/GM/NIGMS NIH HHS/ -- R01GM089932/GM/NIGMS NIH HHS/ -- R24 HD047879/HD/NICHD NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2011 Aug 19;333(6045):984-8. doi: 10.1126/science.1204588.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, Oxford University, Oxford OX1 3PS, UK. charlotte.metcalf@zoo.ox.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21852493" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptive Immunity ; Animals ; Antibodies/immunology ; CD4-Positive T-Lymphocytes/immunology ; Erythrocyte Aging ; Erythrocyte Count ; Erythrocytes/*parasitology/physiology ; Host-Parasite Interactions ; Humans ; Immunity, Innate ; Interleukin-10/immunology/metabolism ; Malaria/blood/*immunology/*parasitology ; Mice ; Models, Biological ; Models, Statistical ; *Parasitemia/blood/immunology/parasitology ; Plasmodium chabaudi/immunology/*physiology ; Receptors, Interleukin-10/immunology ; Regression Analysis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-08-03
    Description: Insects often undergo regular outbreaks in population density but identifying the causal mechanism for such outbreaks in any particular species has proven difficult. Here, we show that outbreak cycles in the tea tortrix Adoxophyes honmai can be explained by temperature-driven changes in system stability. Wavelet analysis of a 51-year time series spanning more than 200 outbreaks reveals a threshold in outbreak amplitude each spring when temperature exceeds 15 degrees C and a secession of outbreaks each fall as temperature decreases. This is in close agreement with our independently parameterized mathematical model that predicts the system crosses a Hopf bifurcation from stability to sustained cycles as temperature increases. These results suggest that temperature can alter system stability and provide an explanation for generation cycles in multivoltine insects.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nelson, William A -- Bjornstad, Ottar N -- Yamanaka, Takehiko -- New York, N.Y. -- Science. 2013 Aug 16;341(6147):796-9. doi: 10.1126/science.1238477. Epub 2013 Aug 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Queen's University, Kingston, Ontario, Canada. nelsonw@queensu.ca〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23907532" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Life Cycle Stages ; Models, Biological ; Moths/growth & development/*physiology ; Population Density ; Population Dynamics ; *Seasons ; *Temperature ; Wavelet Analysis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2006-04-01
    Description: Quantifying long-range dissemination of infectious diseases is a key issue in their dynamics and control. Here, we use influenza-related mortality data to analyze the between-state progression of interpandemic influenza in the United States over the past 30 years. Outbreaks show hierarchical spatial spread evidenced by higher pairwise synchrony between more populous states. Seasons with higher influenza mortality are associated with higher disease transmission and more rapid spread than are mild ones. The regional spread of infection correlates more closely with rates of movement of people to and from their workplaces (workflows) than with geographical distance. Workflows are described in turn by a gravity model, with a rapid decay of commuting up to around 100 km and a long tail of rare longer range flow. A simple epidemiological model, based on the gravity formulation, captures the observed increase of influenza spatial synchrony with transmissibility; high transmission allows influenza to spread rapidly beyond local spatial constraints.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Viboud, Cecile -- Bjornstad, Ottar N -- Smith, David L -- Simonsen, Lone -- Miller, Mark A -- Grenfell, Bryan T -- New York, N.Y. -- Science. 2006 Apr 21;312(5772):447-51. Epub 2006 Mar 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA. viboudc@mail.nih.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16574822" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Algorithms ; Child ; *Disease Outbreaks ; Hospitalization ; Humans ; Incidence ; *Influenza A Virus, H1N1 Subtype ; *Influenza A Virus, H3N2 Subtype ; *Influenza B virus ; Influenza, Human/*epidemiology/mortality/*transmission/virology ; Models, Statistical ; Population Density ; Seasons ; Stochastic Processes ; Time Factors ; Travel ; United States/epidemiology ; Workplace
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2003-11-01
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hudson, Peter J -- Bjornstad, Ottar N -- New York, N.Y. -- Science. 2003 Oct 31;302(5646):797-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Pennsylvania State University, University Park, PA 16802, USA. pjh18@psu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14593159" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Arvicolinae/growth & development/*physiology ; Birds/*physiology ; Canada ; Carnivora/*physiology ; *Ecosystem ; Foxes/physiology ; Greenland ; Models, Biological ; Population Density ; Population Dynamics ; *Predatory Behavior ; Strigiformes/physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2019
    Description: Abstract Asymmetric interactions among conspecifics can have diverse effects on population dynamics including stabilization, generation of cycles, and induction of chaotic fluctuations. A difficult challenge, however, is establishing the link between the impact of asymmetric interactions on life history and the consequences for population dynamics. The smaller tea tortrix, Adoxophyes honmai, is a good example. Larval instars differ dramatically in size and have a tendency for cannibalism, which suggests the potential for strong asymmetric interactions among instars. Yet whether these asymmetries have any role in generating the distinct single‐generation cycles observed in the field and laboratory is unclear. Here we report on the development of a new experimental approach to characterize the impact of asymmetric interactions on life history that can be directly embedded into stage‐structured population models. The experiments use donor‐replacement protocols in which focal individuals are challenged to complete their life cycles in competitive environments where the instar and density of the competitors are held constant. The experimentally derived interaction surface contains all the information about stage‐specific interactions and provides a straightforward framework for evaluating alternative ways of abstracting the interactions into traditional models of asymmetric competition. Working with the smaller tea tortrix, we found strong evidence of asymmetric interactions and identified critical “tipping points” in the competitive environment that strongly affected survival but not development. We incorporated the experimentally derived interaction surface into a stage‐structured population model and found that despite the strong impact that asymmetric interactions have on tea tortrix life history, they do not scale‐up to impact the predicted asymptotic population dynamics. Comparing these dynamics with two abstracted models of stage‐structured interactions revealed that while the quantitative details of the emergent dynamics depends on the shape of the interaction surface, the qualitative features, such as the emergence of single‐generation cycles and rapid synchronization of development among individuals, are pleasingly robust.
    Print ISSN: 0012-9658
    Electronic ISSN: 1939-9170
    Topics: Biology
    Published by Wiley on behalf of The Ecological Society of America (ESA).
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  • 9
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillian Magazines Ltd.
    Nature 414 (2001), S. 716-723 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Spatio-temporal travelling waves are striking manifestations of predator–prey and host–parasite dynamics. However, few systems are well enough documented both to detect repeated waves and to explain their interaction with spatio-temporal variations in population structure and ...
    Type of Medium: Electronic Resource
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  • 10
    Publication Date: 1997-05-13
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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