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Measuring temporal trends in biodiversity

Author

Listed:
  • S. T. Buckland

    (University of St Andrews)

  • Y. Yuan

    (University of St Andrews)

  • E. Marcon

    (AgroParisTech)

Abstract

In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, ‘to significantly reduce the rate of biodiversity loss by 2010’. To assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that was prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising, for example, from climate change.

Suggested Citation

  • S. T. Buckland & Y. Yuan & E. Marcon, 2017. "Measuring temporal trends in biodiversity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 461-474, October.
    • Handle: RePEc:spr:alstar:v:101:y:2017:i:4:d:10.1007_s10182-017-0308-1
    DOI: 10.1007/s10182-017-0308-1
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    References listed on IDEAS

    as
    1. Yuan Yuan & Stephen T. Buckland & Phil J. Harrison & Sergey Foss & Alison Johnston, 2016. "Using Species Proportions to Quantify Turnover in Biodiversity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(2), pages 363-381, June.
    2. J. Gower & P. Legendre, 1986. "Metric and Euclidean properties of dissimilarity coefficients," Journal of Classification, Springer;The Classification Society, vol. 3(1), pages 5-48, March.
    3. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    4. Cowell, Frank A., 1980. "Generalized entropy and the measurement of distributional change," European Economic Review, Elsevier, vol. 13(1), pages 147-159, January.
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    Cited by:

    1. Roland Langrock & David L. Borchers, 2017. "Guest editors’ introduction to the special issue on “Ecological Statistics”," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 345-347, October.
    2. Aisling J. Daly & Jan M. Baetens & Bernard De Baets, 2018. "Ecological Diversity: Measuring the Unmeasurable," Mathematics, MDPI, vol. 6(7), pages 1-28, July.
    3. Sophie A M Elliott & Alessandro D Sabatino & Michael R Heath & William R Turrell & David M Bailey, 2017. "Landscape effects on demersal fish revealed by field observations and predictive seabed modelling," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.

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