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
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Abstract
Measuring how and why biodiversity is changing is critical to protecting it. Among the tools developed to measure biodiversity, one indicator has come under recent scrutiny. The Living Planet Index (LPI) is an indicator based on vertebrate population trends used as evidence for policy and a resource for scientific research; it has a high profile and global reach in the media by conveying a simple message about biodiversity loss1. Toszogyova et al recently published a critique on the indicator’s approach to data inclusion and weighting, asserting that the LPI provides a biased estimate of global vertebrate abundance change. As the scientists behind the ongoing development of the LPI, we appreciate efforts to improve the index. Whilst the authors rightly highlight the sensitivity of the LPI to characteristics of time-series data, their conclusions are not substantiated. Here, we identify aspects of their method which preclude a direct comparison to the published LPI, contest the conclusions drawn and provide a rationale advising against adopting their approach.
DOI
https://doi.org/10.32942/X2M33C
Subjects
Biodiversity
Keywords
Biodiversity Indicators, Living Planet Index, Biodiversity Monitoring, policy
Dates
Published: 2025-02-05 16:47
License
CC-BY Attribution-NonCommercial 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
None
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