4.5 Article

Random population fluctuations bias the Living Planet Index

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NATURE ECOLOGY & EVOLUTION
卷 5, 期 8, 页码 1145-+

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NATURE PORTFOLIO
DOI: 10.1038/s41559-021-01494-0

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  1. National Research Foundation of South Africa [129127]
  2. Jennifer Ward Oppenheimer Research Grant

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A combination of simulations and empirical data shows that random fluctuations in species population time-series data affect calculations of the Living Planet Index, in some cases exaggerating population declines.
The Living Planet Index (LPI) is a standardized indicator for tracking population trends through time. Due to its ability to aggregate many time series in a single metric, the LPI has been proposed as an indicator for the Convention on Biological Diversity's post-2020 Global Biodiversity Strategy. However, here we show that random population fluctuations introduce biases when calculating the LPI. By combining simulated and empirical data, we show how random fluctuations lead to a declining LPI even when overall population trends are stable and imprecise estimates of the LPI when populations increase or decrease nonlinearly. We applied randomization null models that demonstrate how random fluctuations exaggerate declines in the global LPI by 9.6%. Our results confirm substantial declines in the LPI but highlight sources of uncertainty in quantitative estimates. Randomization null models are useful for presenting uncertainty around indicators of progress towards international biodiversity targets. A combination of simulations and empirical data shows that random fluctuations in species population time-series data affect calculations of the Living Planet Index, in some cases exaggerating population declines.

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