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  • 1
    Electronic Resource
    Electronic Resource
    Geographical Distribution of the Dermaptera and the Continental Drift Hypothesis (1969)
    [s.l.] : Nature Publishing Group
    Nature 222 (1969), S. 981-982 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Table 1. COEFFICIENTS OF ASSOCIATION BETWEEN THE DERMAPTERAN GENERA OF THE PAIRS OF AREAS INDICATED Labi- Forflcu- Pygidi- Areas oidea loidea cranoidea All No. of genera 46 81 15 genera Europe and Asia with Africa 0-24 0-47 - 0-30 Europe and Asia with the Orient 0-32 0-12 - 0-23 North and ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/222981a0
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  • 2
    Electronic Resource
    Electronic Resource
    Estimation of stage-specific survival rates and other parameters for insect populations developing through several stages (1974)
    Springer
    Oecologia 15 (1974), S. 277-285 
    Details
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A method of analysis is suggested for data obtained by sampling an insect population while the individuals in the population are developing through several stages. The method allows the estimation of (i) the numbers entering each stage, (ii) the mean duration of each stage, and (iii) daily survival rates. A basic assumption made is that the time of entry to a stage follows a normal distribution. The method is illustrated on data from a field population of grasshoppers and a laboratory population of locusts.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00345183
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  • 3
    Electronic Resource
    Electronic Resource
    A comparison of methods for the analysis of insect stage-frequency data (1974)
    Springer
    Oecologia 17 (1974), S. 335-348 
    Details
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary An electronic computer has been used to simulate the development and sampling of a number of insect populations containing individuals passing through stages (instar I, instar II, etc.). This was done in order to compare five methods for analysing sample stage-frequency data (Richards and Waloff, 1954; Richards et al., 1960; Dempster, 1961; Kiritani and Nakasuji, 1967; Manly, 1974a) under a variety of conditions. The simulation results suggest (i) that the method of Kiritani and Nakasuji should be used to estimate stage-specific survival rates whenever populations are sampled at equal intervals of time until almost all insects are dead, and (ii) that the method of Manly should be used if the sample times do not permit the use of Kiritani and Nakasuji's method or if it is desired to estimate the actual number of insects entering stages.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00345751
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  • 4
    Electronic Resource
    Electronic Resource
    The determination of key factors from life table data (1977)
    Springer
    Oecologia 31 (1977), S. 111-117 
    Details
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A new method is proposed for detecting key factors from life tables for animals whose life-cycle is divided into several stages. This method is based upon an equation that partitions the variance of the number alive at the end of the life-cycle into components associated with variation in the number entering the first stage of the cycle, variation in survival rates, and also density-dependent aspects of survival. It is illustrated by analysing Blank and Ash's (1962) census data for a population of partridges. The conclusions reached are somewhat different from those reached by Blank et al. (1967) when they applied Varley and Gradwell's (1960) type of key factor analysis to the same set of data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00348714
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  • 5
    Electronic Resource
    Electronic Resource
    A model for dispersion experiments (1977)
    Springer
    Oecologia 31 (1977), S. 119-130 
    Details
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A new model is proposed for the dispersion of animals and other organisms and its use is discussed for the analysis of the data from experiments on dispersion. The model is a generalisation of the random walk model, but because of its flexibility it should be much more widely applicable than the random walk model. The new model has been found to fit the results of many dispersion experiments and examples are given of its use with data for millipedes and Drosophila.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00348715
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  • 6
    Electronic Resource
    Electronic Resource
    Some examples of a method for determining key factors from life table data (1978)
    Springer
    Oecologia 35 (1978), S. 119-122 
    Details
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The method of Manly (1977) for determining key factors in the life cycle of animal populations is illustrated on several sets of published data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00345545
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  • 7
    Electronic Resource
    Electronic Resource
    Using selection functions to describe changes in environmental variables (1995)
    Springer
    Environmental and ecological statistics 2 (1995), S. 225-237 
    Details
    ISSN: 1573-3009
    Keywords: environmental monitoring ; selection function ; natural selection ; EMAP ; environmental assessment ; fitness function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The selection function (which shows how the frequency of sampling units with the value X = x at one point in time must change in order to produce the distribution that occurs at a later point in time) is proposed for describing the changes over time in an environmentally important variable X. It is shown that the theory of selection functions as used in the study of natural selection and resource selection by animals requires some modifications in this new application and that a selection function is a useful tool in long-term monitoring studies because all changes in a distribution can be examined (rather than just changes in single parameters such as the mean), and because graphical presentations of the selection function are easy for non-statisticians to understand. Estimation of the selection function is discussed using a method appropriate for normal distributions and bootstrapping is suggested as a method for assessing the precision of estimates and for testing for significant differences between samples taken at different times. Methods are illustrated using data on water chemical variables from a study of the effects of acid precipitation in Norway.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00456670
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  • 8
    Electronic Resource
    Electronic Resource
    Using selection functions to describe changes in environmental variables (1995)
    Springer
    Environmental and ecological statistics 2 (1995), S. 225-237 
    Details
    ISSN: 1573-3009
    Keywords: environmental monitoring ; selection function ; natural selection ; EMAP ; environmental assessment ; fitness function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The selection function (which shows how the frequency of sampling units with the value X = x at one point in time must change in order to produce the distribution that occurs at a later point in time) is proposed for describing the changes over time in an environmentally important variable X. It is shown that the theory of selection functions as used in the study of natural selection and resource selection by animals requires some modifications in this new application and that a selection function is a useful tool in long-term monitoring studies because all changes in a distribution can be examined (rather than just changes in single parameters such as the mean), and because graphical presentations of the selection function are easy for non-statisticians to understand. Estimation of the selection function is discussed using a method appropriate for normal distributions and bootstrapping is suggested as a method for assessing the precision of estimates and for testing for significant differences between samples taken at different times. Methods are illustrated using data on water chemical variables from a study of the effects of acid precipitation in Norway.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00456672
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  • 9
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    Resilience of North Sea phytoplankton spring blooms dynamics: an analysis of long term data at Helgoland Roads (2008)
    In:  EPIC3Limnology and Oceanography, 53, pp. 1294-1302
    Details
    Publication Date: 2018-02-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 10
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    The warming trend at Helgoland Roads, North Sea: phytoplankton response (2004)
    In:  EPIC3Helgoland marine research, 58(4), pp. 269-273, ISBN: 1438-387X (Paper) 14
    Details
    Publication Date: 2018-02-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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