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Using Species Proportions to Quantify Turnover in Biodiversity

Author

Listed:
  • Yuan Yuan

    (University of St Andrews)

  • Stephen T. Buckland

    (University of St Andrews)

  • Phil J. Harrison

    (ArtDatabanken)

  • Sergey Foss

    (Heriot-Watt University)

  • Alison Johnston

    (British Trust for Ornithology)

Abstract

Quantifying species turnover is an important aspect of biodiversity monitoring. Turnover measures are usually based on species presence/absence data, reflecting the rate at which species are replaced. However, measures that reflect the rate at which individuals of a species are replaced by individuals of another species are far more sensitive to change. In this paper, we propose families of turnover measures that reflect changes in species proportions. We study the properties of our measures, and use simulation to assess their success in detecting turnover. Using data on the British farmland bird community from the breeding bird survey, we evaluate our measures to quantify temporal turnover and how it varies across the British mainland.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jagbes:v:21:y:2016:i:2:d:10.1007_s13253-015-0243-0
    DOI: 10.1007/s13253-015-0243-0
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    References listed on IDEAS

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    1. Anne Chao & Robin L. Chazdon & Robert K. Colwell & Tsung-Jen Shen, 2006. "Abundance-Based Similarity Indices and Their Estimation When There Are Unseen Species in Samples," Biometrics, The International Biometric Society, vol. 62(2), pages 361-371, June.
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    Cited by:

    1. 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.
    2. Ricotta, Carlo & Pavoine, Sandrine, 2022. "A new parametric measure of functional dissimilarity: Bridging the gap between the Bray-Curtis dissimilarity and the Euclidean distance," Ecological Modelling, Elsevier, vol. 466(C).
    3. Boit, Alice & Spencer, Matthew, 2019. "Equivalence and dissimilarity of ecosystem states," Ecological Modelling, Elsevier, vol. 396(C), pages 12-22.

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