Evidence map›Paper›PMID 34168337›Full record

ArticleNature ecology & evolution2021

Random population fluctuations bias the Living Planet Index.

Falko T Buschke, James G Hagan, Luca Santini, Bernard W T Coetzee

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. The utility of the Living Planet Index as a policy tool and for measuring nature recovery.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  6. Article
  7. Article
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  10. Looking back on biodiversity change: lessons for the road ahead.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Review
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  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Falko T BuschkeCentre for Environmental Management, University of the Free State, Bloemfontein, South Africa. falko.buschke@gmail.com.ORCID http://orcid.org/0000-0003-1167-7810
James G HaganDepartment of Marine Sciences, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-7504-3393
Luca SantiniDepartment of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0002-5418-3688
Bernard W T CoetzeeDepartment of Zoology & Entomology, University of Pretoria, Hatfield, South Africa.ORCID http://orcid.org/0000-0002-9913-6295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Conservation of Natural ResourcesPlanetsBiasBiodiversity

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.