Cited by 236Ecology and Vegetation Dynamics StudiesWildlife Ecology and ConservationConservation, Biodiversity, and Resource Management

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The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator

Open access

Abstract

As threats to species continue to increase, precise and unbiased measures of the impact these pressures are having on global biodiversity are urgently needed. Some existing indicators of the status and trends of biodiversity largely rely on publicly available data from the scientific and grey literature, and are therefore prone to biases introduced through over-representation of well-studied groups and regions in monitoring schemes. This can give misleading estimates of biodiversity trends. Here, we report on an approach to tackle taxonomic and geographic bias in one such indicator (Living Planet Index) by accounting for the estimated number of species within biogeographical realms, and the relative diversity of species within them. Based on a proportionally weighted index, we estimate a global population decline in vertebrate species between 1970 and 2012 of 58% rather than 20% from an index with no proportional weighting. From this data set, comprising 14,152 populations of 3,706 species from 3,095 data sources, we also find that freshwater populations have declined by 81%, marine populations by 36%, and terrestrial populations by 38% when using proportional weighting (compared to trends of -46%, +12% and +15% respectively). These results not only show starker declines than previously estimated, but suggests that those species for which there is poorer data coverage may be declining more rapidly.

Overview

AI snapshot

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TL;DR

The paper develops a diversity-weighted Living Planet Index (LPI-D) to correct taxonomic and geographic bias in the Living Planet Index by weighting species trends according to estimated species richness across realms and taxa. It estimates a 58% global vertebrate population decline from 1970 to 2012, compared with 20% under the unweighted LPI.

Key findings

  • The global LPI-D declined by 58% (95% CI: -48.3 to -66.0) between 1970 and 2012, an average annual decline of 2%, versus a 19.7% decline (95% CI: -6.6 to -30.9) and 0.52% annual decline for the unweighted LPI-U.
  • System-level LPI-D declines were 81.5% for freshwater (95% CI: -68.5 to -89.3), 35.6% for marine (95% CI: -19.5 to -48.8), and 37.9% for terrestrial (95% CI: -20.4 to -51.5); Table 1 gives LPI-U 2012 index values of 0.544 for freshwater, 1.125 for marine, and 0.848 for terrestrial.
  • For the Palearctic realm, LPI-U showed a 38.4% increase (95% CI: 12.7–66.2), while LPI-D showed a 30.3% decline (95% CI: -1.4 to -50.2).
  • The database contained 14,152 populations of 3,706 species from 3,095 data sources; representation was biased toward temperate birds and mammals, with under-representation of most tropical realms and marine fishes, and Afrotropical herps representing less than 1% of known species.

Methods

  • Data came from the Living Planet Database: time series of population size, density, abundance, or abundance proxies for vertebrate species from 1970 to 2012, requiring at least two years of data, consistent methods, and traceable sources.
  • The LPI-D weighted trends by estimated known species richness across systems, biogeographic realms, and taxonomic groups (birds, mammals, fish, and combined herps), producing 57 subsets; systems were weighted equally, realms were weighted by species proportions within systems, and taxa were weighted by species proportions within realms.
  • Population trends were modeled with Generalized Additive Models for series with six or more data points and the chain method otherwise; population lambdas were averaged to species trends, and 95% confidence intervals were generated with 10,000 bootstrap iterations. Binomial tests assessed taxonomic over- or under-representation.

Limitations

  • Stated: the approach relies on reasonable species lists, which change over time and may be lower quality for less studied groups and regions; estimates of undescribed species (57% amphibians, 13% reptiles, 22% fish) suggest these groups could receive even greater weight and that declines may be steeper than estimated.
  • Stated: LPI-D addresses broad geographic bias but not smaller-scale coverage gaps, such as Palearctic data being largely from Europe, Afrotropical data being better represented in eastern and southern Africa, and marine data clustering near coasts.
  • Stated and evident: manual data entry is a critical limitation for growing the database; some abundance records are confidential and cannot be made publicly available, and incomplete IUCN assessments for fishes (745 of 1,369 species unassessed, plus 40 Data Deficient) limit the threatened-species representation analysis.

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Integrity signals

Registry

Crossref · 10.1371/journal.pone.0169156

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Fig 1 Schematic of the weighting process. Systems (Terrestrial/Freshwater/Marine) are weighted equally. Within each system, the proportion of species found across the realms that compose that system (the length of the bars above) is used to proportionally weight each realm's index. Within each realm, the diversity of species is used to weight taxonomic indices (the size of the grey-scale sections of the bars above).
Fig 1 Schematic of the weighting process. Systems (Terrestrial/Freshwater/Marine) are weighted equally. Within each system, the proportion of species found across the realms that compose that system (the length of the bars above) is used to proportionally weight each realm's index. Within each realm, the diversity of species is used to weight taxonomic indices (the size of the grey-scale sections of the bars above).CC BY · PubMed Central
Fig 2 Global vertebrate richness map overlaid with populations recorded in the Living Planet Database. Species richness map reproduced from [20]
Fig 2 Global vertebrate richness map overlaid with populations recorded in the Living Planet Database. Species richness map reproduced from [20]CC BY · PubMed Central
Fig 3 Comparison of number of known species and number of species recorded within the Living Planet Database. Colours represent different biogeographic realms, shapes indicate species groups and overlaid lines show 1 and 99% representation (dotted) and increments in between (solid). A–terrestrial and freshwater species and realms; B–marine species and realms
Fig 3 Comparison of number of known species and number of species recorded within the Living Planet Database. Colours represent different biogeographic realms, shapes indicate species groups and overlaid lines show 1 and 99% representation (dotted) and increments in between (solid). A–terrestrial and freshwater species and realms; B–marine species and realmsCC BY · PubMed Central
Fig 4 Comparison of the unweighted and diversity weighted Living Planet Index for the Palearctic realm. Green shows the unweighted index (LPI-U), orange shows the diversity weighted index (LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.
Fig 4 Comparison of the unweighted and diversity weighted Living Planet Index for the Palearctic realm. Green shows the unweighted index (LPI-U), orange shows the diversity weighted index (LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.CC BY · PubMed Central
Fig 5 Comparison of the unweighted and diversity-weighted Living Planet Index for the global data set. Green shows the unweighted index (Global LPI-U), orange shows the diversity weighted index (Global LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.
Fig 5 Comparison of the unweighted and diversity-weighted Living Planet Index for the global data set. Green shows the unweighted index (Global LPI-U), orange shows the diversity weighted index (Global LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.CC BY · PubMed Central
Fig 6 Comparison of the unweighted and diversity weighted Living Planet Index for each System (A -Terrestrial, B -Freshwater and C -Marine). In each case, green shows the unweighted index (LPI-U), orange shows the diversity weighted index (LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.
Fig 6 Comparison of the unweighted and diversity weighted Living Planet Index for each System (A -Terrestrial, B -Freshwater and C -Marine). In each case, green shows the unweighted index (LPI-U), orange shows the diversity weighted index (LPI-D). Solid coloured lines show the average trend and shaded regions show the 95% confidence interval of that trend.CC BY · PubMed Central
Fig 7 The impact of removing species groups for which the Living Planet Database has < 1% representation. Green trends show the Living Planet Index for all groups, orange trends show trends without less represented groups. Upper row shows trends calculated using the weighted (LPI-D) method, lower rows show the unweighted (LPI-U) method. Solid lines show the average trend, shaded regions show 95% confidence intervals. Stars (*) indicate when the final 2012 index values are significantly different.
Fig 7 The impact of removing species groups for which the Living Planet Database has < 1% representation. Green trends show the Living Planet Index for all groups, orange trends show trends without less represented groups. Upper row shows trends calculated using the weighted (LPI-D) method, lower rows show the unweighted (LPI-U) method. Solid lines show the average trend, shaded regions show 95% confidence intervals. Stars (*) indicate when the final 2012 index values are significantly different.CC BY · PubMed Central

Verification

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Metadata

Authors
McRae, L., Deinet, S., & Freeman, R.
Affiliations
Zoological Society of London (GB)
Corresponding author
McRae, Louise
Venue
PLOS ONE
Published
2017-01-03
Volume
12
Issue
1
Pages
e0169156
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2493835817
Cited by
236
References
37
Citations by year
2026: 13 · 2025: 26 · 2024: 22 · 2023: 42 · 2022: 42 · 2021: 22 · 2020: 36 · 2019: 15 · 2018: 13 · 2017: 5
FWCI
15.55
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
WWF International
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
Keywords
Living Planet Index, biodiversity indicators, taxonomic bias, geographic bias, vertebrates, freshwater biodiversity, marine biodiversity, terrestrial biodiversity, biogeographical realms, data coverage, biodiversity monitoring
MeSH terms
Animals, Conservation of Natural Resources, Fresh Water, Geography, International Cooperation, Marine Biology, Science, Species Specificity, Time Factors, Vertebrates, Databases, Factual, Ecosystem, Earth, Planet, Biodiversity

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