The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
Open accessAbstract
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.
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Written from the paper’s full text.
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.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
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Claims the paper makes
0 of 37 cited sources checked · 0 supported · 0 flagged
- Findingown data
The proportion of terrestrial LPD sites in protected areas is more than the expected 13%.
“Our comparison to a study on geographic bias in terrestrial ecological sites revealed that 63% of the terrestrial sites in the LPD occur in a protected area which is the same proportion as found in Martin et al. (χ2 = 0.004, df = 1, p = 0.95), and more than the expected 13% (χ2 = 883.83, df = 1, p = 0.00).”
Quote in the paperNot a substantial claim - Findingown data
The unweighted Living Planet Index (LPI-U) estimates a global decline of 19.7% (95% CI: -6.6 to -30.9) in vertebrate populations between 1970 and 2012.
“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.”
- Also stated in: § Applying the LPI-D approach to the global living planet index · plain
“This result shows a greater rate of decline than the index calculated using the LPI-U approach which has an average annual decline of 0.52% per year and an overall decline of 19.7% (95% CI: -6.6 –-30.9), over the 42-year period.”
Quote in the paperSubstantial claim - Also stated in: § Applying the LPI-D approach to the global living planet index · plain
- Findingown data
Freshwater populations declined by 46% under the unweighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim - Findingown data
The proportion of terrestrial LPD sites in protected areas is the same as found in Martin et al.
“Our comparison to a study on geographic bias in terrestrial ecological sites revealed that 63% of the terrestrial sites in the LPD occur in a protected area which is the same proportion as found in Martin et al. (χ2 = 0.004, df = 1, p = 0.95), and more than the expected 13% (χ2 = 883.83, df = 1, p = 0.00).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Martin et al.
Not checked in the free run.
- Findingown data
Freshwater populations declined by 81% under the diversity-weighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim
- Findingown data
Terrestrial populations increased by 15% under the unweighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim - Findingown data
Marine populations declined by 36% under the diversity-weighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim - Findingown data
63% of the terrestrial sites in the LPD occur in a protected area.
“Our comparison to a study on geographic bias in terrestrial ecological sites revealed that 63% of the terrestrial sites in the LPD occur in a protected area which is the same proportion as found in Martin et al. (χ2 = 0.004, df = 1, p = 0.95), and more than the expected 13% (χ2 = 883.83, df = 1, p = 0.00).”
Quote in the paperNot a substantial claim - Findingown data
The diversity-weighted Living Planet Index (LPI-D) estimates a global decline of 58% (95% CI: -48.3 to -66.0) in vertebrate populations between 1970 and 2012.
“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.”
- Also stated in: § Applying the LPI-D approach to the global living planet index · plain
“The global index produced using the LPI-D approach shows a decline of 58% (95% CI: -48.3 –-66.0) between 1970 and 2012 (Fig 5) which equates to an average annual decline of 2% per year.”
Quote in the paperSubstantial claim - Also stated in: § Applying the LPI-D approach to the global living planet index · plain
- Findingown data
Terrestrial populations declined by 38% under the diversity-weighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim - Findingown data
Marine populations increased by 12% under the unweighted Living Planet Index between 1970 and 2012.
“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).”
Quote in the paperSubstantial claim - Findingown data
For all woodland biomes, the LPI differs significantly to Martin et al.'s observed values except for Tundra.
“For all woodland biomes, the LPI differs significantly to Martin et al.’s observed values except for Tundra (S2 Table).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Martin et al.
Not checked in the free run.
- Findingown data
The LPI-U approach has an average annual decline of 0.52% per year over the 42-year period.
“This result shows a greater rate of decline than the index calculated using the LPI-U approach which has an average annual decline of 0.52% per year and an overall decline of 19.7% (95% CI: -6.6 –-30.9), over the 42-year period.”
Quote in the paperNot a substantial claim - Findingown data
Near Threatened/Lower Risk fishes are significantly over-represented in the LPI relative to the IUCN Red List.
“We find that Critically Endangered reptiles are significantly over-represented, along with Least Concern birds and amphibians, and Near Threatened/Lower Risk reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
Least Concern birds are significantly over-represented in the LPI relative to the IUCN Red List.
“We find that Critically Endangered reptiles are significantly over-represented, along with Least Concern birds and amphibians, and Near Threatened/Lower Risk reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
When restricted to threatened species assessed under Criterion A, all three threat categories (CR, EN, VU) are significantly over-represented in the LPI for mammals, reptiles and fishes.
“When we subsetted the threatened species to include only those that have been assessed under Criterion A (a reduction in population size), we found more significance in the results between the proportions in the LPI and the IUCN Red List (S9 Table). All three threat categories are significantly over-represented for mammals, reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
In 2012, the terrestrial LPI-U index value was 0.848 (95% CI 0.702-1.02).
“| Terrestrial | 0.621 | 0.485–0.796 | 0.848 | 0.702–1.02 |”
Quote in the paperNot a substantial claim - Findingown data
Endangered amphibians are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
When restricted to threatened species assessed under Criterion A, Vulnerable birds are significantly under-represented in the LPI.
“Critically endangered and Endangered birds are significantly over-represented whereas Vulnerable birds are significantly under-represented.”
Quote in the paperSubstantial claim - Findingown data
The confidence intervals around the LPI-U index are slightly wider than the LPI-D index illustrating greater uncertainty in the trend since 1970.
“The confidence intervals around the LPI-U index are slightly wider than the LPI-D index illustrating greater uncertainty in the trend since 1970.”
Quote in the paperNot a substantial claim - Findingown data
When restricted to threatened species assessed under Criterion A, Critically Endangered and Endangered birds are significantly over-represented in the LPI.
“Critically endangered and Endangered birds are significantly over-represented whereas Vulnerable birds are significantly under-represented.”
Quote in the paperSubstantial claim - Findingown data
In 2012, the terrestrial LPI-D index value was 0.621 (95% CI 0.485-0.796).
“| Terrestrial | 0.621 | 0.485–0.796 | 0.848 | 0.702–1.02 |”
Quote in the paperNot a substantial claim - Findingown data
The Freshwater LPI-U index shows a very marginal increase in trend when groups with less than 1% representation are removed.
“The exception is the Freshwater LPI-U index where there is a very marginal increase in the trend.”
Quote in the paperNot a substantial claim - Findingown data
In 2012, the marine LPI-U index value was 1.125 (95% CI 0.940-1.336).
“| Marine | 0.644 | 0.513–0.805 | 1.125 | 0.940–1.336 |”
Quote in the paperNot a substantial claim - Findingown data
No groups within the marine realm have less than 1% representation in the Living Planet Database.
“As no groups within the marine realm have < 1% representation, we only present the differences in global, freshwater and terrestrial indices.”
Quote in the paperSubstantial claim - Findingown data
Near Threatened/Lower Risk reptiles are significantly over-represented in the LPI relative to the IUCN Red List.
“We find that Critically Endangered reptiles are significantly over-represented, along with Least Concern birds and amphibians, and Near Threatened/Lower Risk reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
Comparing the proportion of species from each IUCN Red List category in the Living Planet Database with all assessed species on the IUCN Red List revealed significant results for both threatened and non-threatened categories.
“Comparing the proportion of species from each IUCN Red List category in the Living Planet Database with all assessed species on the IUCN Red List revealed some significant results for both threatened (CR, EN, VU) and non-threatened (NT/LR, LC) categories (Table 2).”
Quote in the paperSubstantial claim - Findingown data
Vulnerable amphibians are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
In 2012, the freshwater LPI-D index value was 0.185 (95% CI 0.107-0.315).
“| Freshwater | 0.185 | 0.107–0.315 | 0.544 | 0.371–0.795 |”
Quote in the paperNot a substantial claim - Findingown data
In both weighted and unweighted cases for each index, no significant difference is seen when groups with less than 1% representation are removed.
“In both weighted and unweighted cases for each index, no significant difference is seen when groups with less than 1% representation are removed.”
Quote in the paperNot a substantial claim - Findingown data
In 2012, the freshwater LPI-U index value was 0.544 (95% CI 0.371-0.795).
“| Freshwater | 0.185 | 0.107–0.315 | 0.544 | 0.371–0.795 |”
Quote in the paperNot a substantial claim - Findingown data
Using the diversity weighted method (LPI-D), the index for the Palearctic realm shows an overall significant decline of 30.3% (95% CI: -1.4 --50.2).
“Using the diversity weighted method (LPI-D), the index for the Palearctic realm shows an overall significant decline of 30.3% (95% CI: -1.4 –-50.2).”
Quote in the paperSubstantial claim - Findingown data
Least Concern fishes are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingreasoning
The global index produced using the LPI-D approach equates to an average annual decline of 2% per year between 1970 and 2012.
“The global index produced using the LPI-D approach shows a decline of 58% (95% CI: -48.3 –-66.0) between 1970 and 2012 (Fig 5) which equates to an average annual decline of 2% per year.”
Quote in the paperSubstantial claim - Findingown data
None of the IUCN Red List categories for mammals showed significant over- or under-representation in the LPI.
“None of the categories for mammals showed significant over- or under- representation.”
Quote in the paperNot a substantial claim - Findingown data
Least Concern amphibians are significantly over-represented in the LPI relative to the IUCN Red List.
“We find that Critically Endangered reptiles are significantly over-represented, along with Least Concern birds and amphibians, and Near Threatened/Lower Risk reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
Vulnerable birds are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
The diversity-weighted approach does not have a significant impact on the effect of removing species groups with less than 1% representation on the global, freshwater and terrestrial indices.
“In general, the diversity weighted approach does not have a significant impact on the effect of removing these groups.”
Quote in the paperNot a substantial claim - Findingown data
Least Concern reptiles are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
In 2012, the marine LPI-D index value was 0.644 (95% CI 0.513-0.805).
“| Marine | 0.644 | 0.513–0.805 | 1.125 | 0.940–1.336 |”
Quote in the paperNot a substantial claim - Findingown data
Critically Endangered reptiles are significantly over-represented in the LPI relative to the IUCN Red List.
“We find that Critically Endangered reptiles are significantly over-represented, along with Least Concern birds and amphibians, and Near Threatened/Lower Risk reptiles and fishes.”
Quote in the paperSubstantial claim - Findingown data
When an unweighted average is used to calculate the Palearctic index, the group which contains the most species in the LPI database carries the most weight.
“When an unweighted average is used to calculate the Palearctic index, the group which contains the most species in the LPI database carries the most weight (S6A Table).”
Quote in the paperSubstantial claim - Findingown data
Across many species groups surveyed within the LPD, there is both significant over- and under-representation compared to the estimated number of species.
“Across many of the species groups that are surveyed within the LPD, we see both significant over- and under- representation in comparison to the estimated number of species (S7 Table, S8 Table, Fig 3).”
Quote in the paperSubstantial claim - Findingown data
Using the unweighted method (LPI-U) the index for the Palearctic realm shows an overall significant increase of 38.4% (95% CI: 12.7-66.2) over the period 1970-2012.
“Using the unweighted method (LPI-U) the index for the Palearctic realm shows an overall significant increase of 38.4% (95% CI: 12.7–66.2) over the period 1970–2012 (Fig 4).”
Quote in the paperSubstantial claim - Findingown data
Endangered fishes are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
When restricted to threatened species assessed under Criterion A, there were no significant results for amphibians.
“There were no significant results for amphibians.”
Quote in the paperNot a substantial claim - Findingown data
Near Threatened/Lower Risk birds are significantly under-represented in the LPI relative to the IUCN Red List.
“The significantly under-represented groups are Near Threatened/Lower Risk birds, Least Concern reptiles and fishes, Endangered amphibians and fishes, and Vulnerable birds and amphibians.”
Quote in the paperSubstantial claim - Findingown data
When species groups with very little data (less than 1% species) are removed, the overall trends decline more.
“However, we note that when we remove those species groups for which we have very little data (< 1% species), the overall trends decline more (Fig 7), potentially suggesting that overall declines may be worse than we currently present.”
Quote in the paperSubstantial claim - Premisecitation
No indicator of this kind yet exists which has a global extent and covers taxonomic groups beyond birds and butterflies.
“However, no indicator of this kind yet exists which has a global extent and covers taxonomic groups beyond birds and butterflies [15,16].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] RD Gregory, 2005, Developing indicators for European birds, Philosophical Transactions of the Royal Society of London B: Biological Sciences source
Not checked in the free run.
- cites [16] CAM van Swaay, 2008, Butterfly monitoring in Europe: methods, applications and perspectives, Biodiversity and Conservation source
Not checked in the free run.
- Interpretationnone given
Species with poorer data coverage may be declining more rapidly than those with better data coverage.
“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.”
Quote in the paperSubstantial claim - Premisecitation
The LPI's reliance on available data means there is bias in the Living Planet Database resulting from the taxonomic and geographical distribution of the data used.
“However, its reliance on available data means there is bias in the LPD resulting from the taxonomic and geographical distribution of the data used [8].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] B Collen, 2009, Monitoring Change in Vertebrate Abundance: the Living Planet Index, Conservation Biology source
Not checked in the free run.
- Interpretationreasoning
The impact of the LPI's bias towards negative population trends may be partially tempered by the proportional weighting at taxonomic group level.
“However the impact may be partially tempered by the proportional weighting at taxonomic group level.”
Quote in the paperSubstantial claim - Interpretationreasoning
The LPI-D approach accounts for the broad-scale geographic bias present in the LPD by placing more weight on the largely tropical, more species-rich realms.
“As well as addressing taxonomic disparity in the data set, the LPI-D approach accounts for the broad scale geographic bias present in the LPD by placing more weight on the largely tropical, more species-rich realms.”
Quote in the paperSubstantial claim - Interpretationreasoning
Issues of coverage still remain at smaller spatial scales which the LPI-D approach does not tackle.
“However, issues of coverage still remain at smaller spatial scales which this approach does not tackle.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Declines appear to be masked in the LPI-U as a result of a high proportion of well-monitored, increasing populations in temperate regions in the data set.
“Declines appear to be masked in the LPI-U as a result of a high proportion of well monitored, increasing populations in temperate regions in the data set.”
Quote in the paperSubstantial claim - Premisecitation
The Living Planet Database necessarily suffers from a variety of publication biases arising from lack of resources or infrastructure for monitoring, logistical difficulties in accessing sites, or barriers to data dissemination.
“However, it necessarily suffers from a variety of publication biases arising for reasons such as lack of resources or infrastructure for monitoring, logistical difficulties in accessing sites or barriers to the dissemination of data into the public realm [12].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] B Collen, 2008, The tropical biodiversity data gap: addressing disparity in global monitoring, Tropical Conservation Science source
Not checked in the free run.
- Interpretationreasoning
Accounting for the diversity of species using the LPI-D method allows the LPI to be calculated in a more taxonomically representative way.
“Accounting for the diversity of species using the LPI-D method allows the LPI to be calculated in a more taxonomically representative way.”
Quote in the paperSubstantial claim - Premisecitation
Monitoring tends to occur in areas where scientists live and work, exacerbating publication biases.
“This is exacerbated by a tendency for monitoring to occur in areas where scientists live and work [21,32].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [21] LJ Martin, 2012, Mapping where ecologists work: biases in the global distribution of terrestrial ecological observations, Frontiers in Ecology and the Environment source
Not checked in the free run.
- cites [32] P Pyšek, Geographical and taxonomic biases in invasion ecology, Trends in Ecology & Evolution source
Not checked in the free run.
- Interpretationreasoning
Weighting by species diversity in the LPI-D distributes the responsibility for the index across regions and taxa according to species richness.
“Weighting by species diversity in the LPI-D thus distributes the responsibility for the index across regions and taxa according to species richness.”
Quote in the paperSubstantial claim - Interpretationreasoning
Trends that equally weight species groups (as in the traditional LPI) will be significantly biased by the disproportionate representation of these groups, skewing the calculation of trends in global wildlife abundance.
“More specifically, trends that equally weight these species groups (as in the ‘traditional’ Living Planet Index) will be significantly biased by the disproportionate representation of these groups, skewing the calculation of trends in global wildlife abundance.”
Quote in the paperSubstantial claim - Interpretationown data
The spatial mismatch between known vertebrate diversity and available data could lead to inaccurate estimates of status and trends in biodiversity.
“While the geographic and taxonomic bias we demonstrate in the LPI is consistent with other studies [8,33] and comparable data sets [21], the spatial mismatch between the known diversity of vertebrate species and the available data (Fig 2) could lead to inaccurate estimates of status and trends in biodiversity.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [8] B Collen, 2009, Monitoring Change in Vertebrate Abundance: the Living Planet Index, Conservation Biology source
Not checked in the free run.
- cites [33] V Proença, Global biodiversity monitoring: From data sources to Essential Biodiversity Variables, Biological Conservation
Not checked in the free run.
- cites [21] LJ Martin, 2012, Mapping where ecologists work: biases in the global distribution of terrestrial ecological observations, Frontiers in Ecology and the Environment source
Not checked in the free run.
- Interpretationown data
The greater decline when removing groups with less than 1% species potentially suggests that overall declines may be worse than currently presented.
“However, we note that when we remove those species groups for which we have very little data (< 1% species), the overall trends decline more (Fig 7), potentially suggesting that overall declines may be worse than we currently present.”
Quote in the paperSubstantial claim - Premisecitation
Tropical vertebrate populations are in worse decline than those in temperate regions.
“For example we know that tropical vertebrate populations are in worse decline than those in temperate regions [45] and that amphibians are threatened with a greater risk of extinction than mammals or birds [46].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] McRae L, Freeman R, Deinet S (2014) 'The Living Planet Index' in: Living Planet Report 2014: species and spaces, people and places WWF, Gland, Switzerland.
Not checked in the free run.
- Interpretationreasoning
Our analysis suggests that prior estimates of the trends in global wildlife populations may have underestimated their global decline.
“Our analysis suggests that prior estimates of the trends in global wildlife populations may have underestimated their global decline.”
Quote in the paperSubstantial claim - Interpretationreasoning
This apparent underestimation is due to well-monitored groups with disproportionate data (predominantly in the Nearctic and Palearctic) declining less than species in more speciose regions with proportionally less data.
“This appears to be due to those well monitored groups for which we have disproportionate amounts of data (predominantly in the Nearctic and Palearctic) declining less than those species in more speciose regions for which we have proportionally less data.”
Quote in the paperSubstantial claim
- May combine two claims. 42
- Classified as probably not a substantial claim. 18
May combine two claims.
Findingown dataGlobal vertebrate richness overlaid with locations of populations currently recorded within the Living Planet Index shows biases towards temperate regions, which the Living Planet Index over-represents, and under-representation of tropical regions.
“Global vertebrate richness overlaid with locations of populations currently recorded within the Living Planet Index shows biases towards temperate regions, which the Living Planet Index over-represents, and under-representation of tropical regions (Fig 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfrotropical amphibians and reptiles represent less than 1% of known species and South temperate and Antarctic reptiles are currently not represented at all in the LPI database.
“Afrotropical amphibians and reptiles (‘Afrotropical Herps’) represent less than 1% of known species and South temperate and Antarctic reptiles are currently not represented at all in the LPI database (0%, of a possible 3 species; not shown in figure).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe terrestrial index shows a 37.9% decline (95% CI: -20.4 to -51.5) from 1970 to 2012, averaging a 1.13% decline per year.
“The terrestrial index shows a 37.9% decline (95% CI: -20.4 –-51.5) from 1970 to 2012, averaging at a 1.13% decline per year.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn the marine system, the highest representation of species is for Pacific north temperate reptiles (100%, 2 species).
“In the marine system, the highest representation of species is for Pacific north temperate reptiles (100%, 2 species).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe freshwater index shows an 81.5% decline (95% CI: -68.5 to -89.3) over 1970-2012, averaging a 3.94% decline per year.
“The freshwater index shows a decline of greater magnitude, 81.5% (95% CI: -68.5 –-89.3) over the 42-year period and an average annual decline of 3.94% per year.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe pattern of representation in wealthy countries was similar to Martin et al. but overall results were mixed with over- and under-representation of high and low income countries compared to the number of sites expected.
“The pattern of representation in wealthy countries was similar to Martin et al. but overall results were mixed with over- und under-representation of high and low income countries compared to the number of sites expected (S4 Table).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Martin et al.
Not checked in the free run.
May combine two claims.
Findingown dataThe highest terrestrial and freshwater representation is for Nearctic birds (68%, 492 species out of a possible 725 species) and the lowest is for Afrotropical reptiles and amphibians (0.7%, 18 species of a possible 2,480 species).
“The highest terrestrial and freshwater representation is for Nearctic birds (68%, 492 species out of a possible 725 species) and the lowest is for Afrotropical reptiles and amphibians (0.7%, 18 species of a possible 2,480 species).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the marine system, 6 subsets represent between 1 and 10% and 16 subsets represent 10% or more of known species.
“For the marine system, 6 subsets represent between 1 and 10% and 16 subsets represent 10% or more of known species (S6B Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe taxonomic groups that are significantly under-represented in each terrestrial and freshwater realm are amphibians and reptiles, as well as fishes, the exception being Nearctic species which are all over-represented.
“The taxonomic groups that are significantly under-represented in each terrestrial and freshwater realm are amphibians and reptiles, as well as fishes, the exception being Nearctic species which are all over-represented.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe rate with which new data are incorporated into the LPD is relatively constant.
“The rate with which new data are incorporated is relatively constant (S1 Fig), as a wealth of data remains available in the literature.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe diversity-weighted Living Planet Index (LPI-D) shows a greater decline than the unweighted LPI (LPI-U) for each of the terrestrial, freshwater and marine system indices.
“The results of the LPI-D approach on the three system indices reveal that each show a greater decline than the LPI-U approach (Fig 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor marine realms, the significant results for birds, mammals and reptiles show they are over-represented in all realms with the exception of South temperate and Antarctic reptiles where there is no representation of the three species.
“For marine realms, the significant results for birds, mammals and reptiles show they are over-represented in all realms with the exception of South temperate and Antarctic reptiles where there is no representation of the three species (S8 Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe effect of using proportional weighting means that the influence of the over-represented groups such as birds and mammals has been reduced by over half and almost a fifth respectively, whereas the influence of fishes has been increased by over three-fold and amphibians/reptiles by over two-fold.
“The effect of using proportional weighting means that the influence of the over-represented groups such as birds and mammals has been reduced by over half and almost a fifth respectively, whereas the influence of fishes has been increased by over three-fold and amphibians/reptiles by over two-fold.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEach index shows a greater decline when groups with less than 1% representation are removed, but the difference is not significant.
“Each index shows a greater decline when these groups are removed, which is most noticeable in the Terrestrial LPI-D index but it is not significantly different.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAt the global level, the LPI-U suggests a decline of 19.7%, while the LPI-D suggests a significantly larger decline of 58%.
“The difference is also notable at the global level where the LPI-U suggests a decline of 19.7%, compared to a significantly larger declines of 58% in the LPI-D.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe LPI-D suggests that, on average, species populations within the Palearctic may have declined by 30.3%, whereas the LPI-U suggests an increase of 38.4%.
“This weighted approach (LPI-D) suggests that, on average, species populations within the Palearctic may have declined by 30.3% as opposed to increasing in abundance by 38.4% (Fig 4) in the unweighted index (LPI-U).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe geographic and taxonomic representation of species in the LPI is varied with 12 subsets representing between 1 and 10% and 7 subsets representing over 10% of known species in the terrestrial and freshwater systems.
“This representation is varied with 12 subsets representing between 1 and 10% and 7 subsets representing over 10% of known species in the terrestrial and freshwater systems (S6A Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe LPD data tend to be over-represented for temperate bird and mammal species, and under-represented for most species groups in tropical realms and for marine fishes.
“The data tend to be over-represented for temperate bird and mammal species, and under-represented for most species groups in tropical realms and for marine fishes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenIn the Afrotropics, eastern and southern Africa are better represented than western and central Africa.
“Likewise in the Afrotropics, eastern and southern Africa are better represented than western and central Africa.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationFor the marine system, data tend to be clustered near the coasts, which are areas of high human impact and higher species richness.
“For the marine system, data tend to be clustered near the coasts which is where most known impact from human activity occurs [41] but also the areas of higher species richness [42].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Findingnone givenAmphibians, which are not significantly over-represented by threatened species, along with reptiles, are given the highest weighting among terrestrial species and the second highest weighting among freshwater species.
“For example, amphibians, which are not significantly over-represented by threatened species, along with reptiles, are given the highest weighting among the terrestrial species and the second highest weighting among freshwater species.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCompared to the expected number of sites across biomes, the LPI over-represents Tropical deciduous woodland and under-represents Tropical evergreen woodland.
“Compared to the expected number of sites across biomes, the LPI over-represents Tropical deciduous woodland and under-represents Tropical evergreen woodland (S3 Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe data from the Palearctic realm is largely from Europe, with much less coverage in Asia.
“For example, the data from the Palearctic realm is largely from Europe and there is much less coverage in Asia (Fig 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen compared to the expected diversity of species across realms, the significant results for birds and mammals show over-representation within terrestrial and freshwater realms with the exception of Afrotropical birds which are under-represented.
“When compared to the expected diversity of species across realms, the significant results for birds and mammals show over-representation within terrestrial and freshwater realms with the exception of Afrotropical birds which are under-represented (Binomial test of proportions, see S7 Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe terrestrial data portion of the LPD has a geographic bias towards protected areas, tropical deciduous woodland and some wealthy countries, and under-representation of tropical evergreen woodland biomes.
“We also find a geographic bias in the terrestrial data portion of the LPD towards protected areas, tropical deciduous woodland and some wealthy countries, at the same time as under-representation of tropical evergreen woodland biomes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenThe majority of fish species (745 out of 1,369 species) have not yet been assessed by the IUCN Red List, and a further 40 species are assessed as Data Deficient, so these species were not included in this analysis.
“What is also important to note is that the majority of fish species (745 out of 1,369 species) have not yet been assessed by the IUCN Red List and a further 40 species are assessed as Data Deficient so these species were not included in this analysis.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor values derived from an equal distribution of sites by global area, all other biomes except Tundra are over-represented while results are less clear by an assumed equal distribution among biomes.
“For values derived from an equal distribution of sites by global area, all other biomes except Tundra are over-represented while results are less clear by an assumed equal distribution among biomes (S3 Table).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFishes are a significantly under-represented group in the tropical and south temperate marine realms but are significantly over-represented in the Pacific north temperate.
“Fishes are a significantly under-represented group in the tropical and south temperate marine realms but are significantly over-represented in the Pacific north temperate.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe marine index shows a 35.6% decline (95% CI: -19.5 to -48.8) over 1970-2012, averaging a 1.04% decline per year.
“The marine index shows a similar decline of 35.6% (95% CI: -19.5 –-48.8) over the same period, with an average annual decline of 1.04% per year.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe LPI-D index for the Palearctic realm shows wider confidence intervals than the LPI-U index as well as a more undulating trend.
“The LPI-D index for the Palearctic realm shows wider confidence intervals than the LPI-U index as well as a more undulating trend.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThese types of bias are a common feature of other global biodiversity databases, usually with a noticeable gap in data from tropical regions.
“These types of bias are a common feature of other global biodiversity databases [10,11], usually with a noticeable gap in data from tropical regions [12].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [10] EH Boakes, 2010, Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data, PLoS Biol source
Not checked in the free run.
- cites [11] C Yesson, 2007, How Global Is the Global Biodiversity Information Facility?, PLoS ONE source
Not checked in the free run.
- cites [12] B Collen, 2008, The tropical biodiversity data gap: addressing disparity in global monitoring, Tropical Conservation Science source
Not checked in the free run.
May combine two claims.
PremisecitationThe performance of biodiversity indicators such as the LPI can be compromised by the presence of bias in the data and limited in effectiveness as tools in measuring progress towards specific policy targets.
“Furthermore, the performance of biodiversity indicators such as the LPI can be compromised by the presence of bias in the data and limited in effectiveness as tools in measuring progress towards specific policy targets [1,14].”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationOther indicators based on species abundance are developed for a selected group of species using a systematic monitoring protocol, so the indicator is spatially and taxonomically representative of the region and taxa in question.
“Other indicators based on species abundance (e.g. [15,16]) are developed for a selected group of species using a systematic monitoring protocol to collect the data used, so the indicator is spatially and taxonomically representative of the region and taxa in question.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] RD Gregory, 2005, Developing indicators for European birds, Philosophical Transactions of the Royal Society of London B: Biological Sciences source
Not checked in the free run.
- cites [16] CAM van Swaay, 2008, Butterfly monitoring in Europe: methods, applications and perspectives, Biodiversity and Conservation source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Living Planet Index (LPI) is one in the suite of global species indicators used to track progress towards Aichi Target 12 and focuses on monitoring population trends of vertebrate species.
“The Living Planet Index (LPI) [7–9], one in the suite of global species indicators used to track progress towards Aichi Target 12, focusses on monitoring the population trends of vertebrate species.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] WWF (2016) Living Planet Report 2016: Risk and resilience in a new era WWF International, Gland, Switzerland.
Not checked in the free run.
- cites [8] B Collen, 2009, Monitoring Change in Vertebrate Abundance: the Living Planet Index, Conservation Biology source
Not checked in the free run.
- cites [9] J Loh, 2005, The Living Planet Index: using species population time series to track trends in biodiversity, Philosophical Transactions of the Royal Society of London B: Biological Sciences source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe Living Planet Database contains a number of abundance records that have been provided in confidence, which are used to calculate the presented trends and statistics but cannot be made publically available.
“The Living Planet Database contains a number of abundance records that have been provided in confidence. These are used to calculate the presented trends and statistics, but cannot be made publically available.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe year 2012 is chosen as the cut-off point for the index because at present there are insufficient data to calculate a robust index after this point due to publication time-lag.
“The year 2012 is chosen as the cut-off point for the index because at present there are insufficient data to calculate a robust index after this point due to publication time-lag.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe LPI includes available published data from scientific and grey literature taken from the Living Planet Database and records trends in 14,152 populations of 3,706 species.
“The LPI includes available published data, primarily in the scientific and grey literature (e.g. government/NGO reports) taken from the Living Planet Database (LPD) and records trends in 14,152 populations of 3,706 species.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] WWF (2016) Living Planet Report 2016: Risk and resilience in a new era WWF International, Gland, Switzerland.
Not checked in the free run.
- cites [8] B Collen, 2009, Monitoring Change in Vertebrate Abundance: the Living Planet Index, Conservation Biology source
Not checked in the free run.
- cites [9] J Loh, 2005, The Living Planet Index: using species population time series to track trends in biodiversity, Philosophical Transactions of the Royal Society of London B: Biological Sciences source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningWeighting by species diversity is only one of a number of potential weightings that could be applied to make trends more representative.
“We note that weighting by species diversity is only one of a number of potential weightings that could be applied to make the trends more ‘representative’.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationImproving the coverage of Data Deficient species might introduce negative trends if these species are likely to be threatened.
“Improving the coverage of Data Deficient species, as categorised by the IUCN Red List, might introduce negative trends if these species are likely to be threatened, as has been predicted for terrestrial mammals [43].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] LM Bland, 2015, Predicting the conservation status of data-deficient species, Conservation Biology source
Not checked in the free run.
May combine two claims.
InterpretationcitationBecause tropical regions tend to have higher richness and a greater proportion of threatened species, the LPI-D method may introduce another bias by placing a high proportion of weight on groups that may be less well monitored, under-represented, or more likely to be categorized as threatened.
“However, tropical regions tend to have higher richness and a greater proportion of threatened species [34], so this method may introduce another bias by placing a high proportion of weight on groups that may be less well monitored, under-represented, or more likely to be categorized as threatened.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] R Grenyer, 2006, Global distribution and conservation of rare and threatened vertebrates, Nature source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenSpecies threatened under other criteria may be experiencing population declines but sufficient data are not available to contribute to the Red Listing assessment.
“Furthermore, species threatened under other criteria may be experiencing population declines but sufficient data are just not available to contribute to the Red Listing assessment.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEstimates for the number of as yet unidentified birds and mammals are small (~10-15 species), but the number of unidentified amphibians, reptiles and fish are much larger, with respective estimates of 57%, 13% and 22% undescribed.
“Estimates for the number of as yet unidentified birds and mammals are small (e.g. ~10–15 species), but the number of unidentified amphibians, reptiles and fish are much larger with respective estimates of 57%, 13% and 22% undescribed [44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] BR Scheffers, 2012, What we know and don’t know about Earth's missing biodiversity, Trends in Ecology & Evolution source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther approaches have been used to account for the differing proportion of a species' total population across different countries.
“Other approaches have been used, for example, to account for the differing proportion of a species’ total population across different countries [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] RD Gregory, 2005, Developing indicators for European birds, Philosophical Transactions of the Royal Society of London B: Biological Sciences source
Not checked in the free run.
May combine two claims.
InterpretationreasoningA limitation of the LPI-D approach is that it is reliant on reasonable species lists, which are known to change over time and may be of lower quality for less studied groups and regions.
“A limitation of our current approach is that it is reliant on reasonable species lists, which are known to change over time and may be of lower quality for less studied groups and regions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
InterpretationreasoningThe bias towards data from protected areas might suggest the LPI would show a greater decline if counterfactuals from unprotected sites were equally monitored.
“For example, the bias towards data from protected areas might suggest the LPI would show a greater decline if counterfactuals from unprotected sites were equally monitored, on the assumption that protection has a positive effect on population trends.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Protection has a positive effect on population trends.
May combine two claims.
PremisecitationTrends in abundance of species populations are a crucial indicator of biodiversity and can provide early warnings of declines prior to species qualifying for high levels of extinction risk.
“Trends in abundance of species populations are a crucial indicator of biodiversity [28,29] and can provide early warnings of declines prior to species qualifying for high levels of extinction risk [30].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [28] L Santini, Assessing the suitability of diversity metrics to detect biodiversity change, Biological Conservation
Not checked in the free run.
- cites [29] ST Buckland, 2011, The geometric mean of relative abundance indices: a biodiversity measure with a difference, Ecosphere source
Not checked in the free run.
- cites [30] B Collen, 2011, Predicting how populations decline to extinction. Philosophical Transactions of the Royal Society B, Biological Sciences source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe metric of abundance trends has been recommended as an Essential Biodiversity Variable, and its use in geometric mean abundance indicators such as the Living Planet Index is part of the mechanism to monitor biodiversity and assess progress towards the Aichi Targets.
“Consequently, this metric has been recommended as an Essential Biodiversity Variable [31], and, its use in geometric mean abundance indicators such as the Living Planet Index (LPI), is part of the mechanism to monitor biodiversity and assess progress towards the Aichi Targets.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] HM Pereira, 2013, Essential Biodiversity Variables, Science source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningDeclines may be exacerbated by a prevalence of coastal marine data, areas of high human impact and where many heavily exploited commercial fish stocks are monitored.
“Alternatively, declines may be exacerbated by a prevalence of coastal marine data; areas of high human impact and where many heavily exploited commercial fish stocks are monitored.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAs threatened species assessed under Criterion A are significantly over-represented in all groups except amphibians, the LPI has a bias towards negative population trends.
“As threatened species assessed under Criterion A are significantly over-represented in all groups except for amphibians, we can infer that the LPI has a bias towards negative population trends.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese latter groups would therefore be given even greater weight, suggesting that vertebrate populations may be declining, on average, even more rapidly than currently estimated.
“These latter groups would therefore be given even greater weight, suggesting that vertebrate populations may be declining, on average, even more rapidly that we currently estimate.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAs the weighted index places more weight on less monitored groups in more species-rich regions, we might be exaggerating the declines in abundance, as these groups might be declining more.
“We might expect that as the weighted index places more weight on less monitored groups in more species-rich regions, we would be exaggerating the declines in abundance–as we might expect these groups to be declining more.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmphibians are threatened with a greater risk of extinction than mammals or birds.
“For example we know that tropical vertebrate populations are in worse decline than those in temperate regions [45] and that amphibians are threatened with a greater risk of extinction than mammals or birds [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] SN Stuart, 2004, Status and Trends of Amphibian Declines and Extinctions Worldwide, Science source
Not checked in the free run.
The authors state this as an assumption.
Protection has a positive effect on population trends.
“on the assumption that protection has a positive effect on population trends.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Freshwater vertebrate populations declined by 83% between 1970 and 2012.
“Freshwater ecosystems have suffered the strongest decline of global biodiversity, while their vertebrate populations alone have declined by 83% between 1970 and 2012 [4], with maximum values of 94% in the Neotropics [5].”
From Urban Stream and Wetland Restoration in the Global South—A DPSIR Analysis (2019) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract reverses the unweighted terrestrial trend
MajorThe abstract reports a 15% increase for the unweighted terrestrial index, but Table 1 gives its 2012 value as 0.848 relative to a 1970 baseline of 1-a decline of about 15%.
“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).”
“| Terrestrial | 0.621 | 0.485–0.796 | 0.848 | 0.702–1.02 |”
Marine group with zero representation contradicts removal rationale
MinorThe paper identifies a marine reptile group with 0% representation, then says no marine groups have less than 1% representation.
“South temperate and Antarctic reptiles are currently not represented at all in the LPI database (0%, of a possible 3 species; not shown in figure).”
“As no groups within the marine realm have < 1% representation, we only present the differences in global, freshwater and terrestrial indices.”
Cites
Transforming Our World: The 2030 Agenda for Sustainable Development
Desa, U. (2018) · Springer Publishing Company eBooks · doi:10.1891/9780826190123.ap02 · Cited by 19,434 · see citing works
A global map of human impact on marine ecosystems
Halpern, B. S., Walbridge, S., Selkoe, K. A., Kappel, C. V., Micheli, F., D'Agrosa, C., Bruno, J. F., Casey, K. S., Ebert, C., Fox, H. E., et al. (2008) · Science · doi:10.1126/science.1149345 · Cited by 6,627 · see citing works
Status and Trends of Amphibian Declines and Extinctions Worldwide
Stuart, S. N., Chanson, J. S., Cox, N. A., Young, B. E., Rodrigues, A. S. L., Fischman, D. L., & Waller, R. W. (2004) · Science · doi:10.1126/science.1103538 · Cited by 4,508 · see citing works
Defaunation in the Anthropocene
Dirzo, R., Young, H. S., Galetti, M., Ceballos, G., Isaac, N. J. B., & Collen, B. (2014) · Science · doi:10.1126/science.1251817 · Cited by 4,305 · see citing works
Accelerated modern human–induced species losses: Entering the sixth mass extinction
Ceballos, G., Ehrlich, P. R., Barnosky, A. D., García, A., Pringle, R. M., & Palmer, T. M. (2015) · Science Advances · doi:10.1126/sciadv.1400253 · Cited by 4,220 · see citing works
The biodiversity of species and their rates of extinction, distribution, and protection
Pimm, S. L., Jenkins, C. N., Abell, R., Brooks, T. M., Gittleman, J. L., Joppa, L. N., Raven, P. H., Roberts, C. M., & Sexton, J. O. (2014) · Science · doi:10.1126/science.1246752 · Cited by 3,542 · see citing works
Abell, R., Thieme, M. L., Revenga, C., Bryer, M., Kottelat, M., Bogutskaya, N., Coad, B., Mandrak, N., Balderas, S. C., Bussing, W., et al. (2008) · BioScience · doi:10.1641/b580507 · Cited by 2,045 · see citing works
Essential Biodiversity Variables
Pereira, H. M., Ferrier, S., Walters, M., Geller, G. N., Jongman, R. H. G., Scholes, R. J., Bruford, M. W., Brummitt, N., Butchart, S. H. M., Cardoso, A. C., et al. (2013) · Science · doi:10.1126/science.1229931 · Cited by 1,637 · see citing works
Global patterns and predictors of marine biodiversity across taxa
Tittensor, D. P., Mora, C., Jetz, W., Lotze, H. K., Ricard, D., Berghe, E. V., & Worm, B. (2010) · Nature · doi:10.1038/nature09329 · Cited by 1,524 · see citing works
A mid-term analysis of progress toward international biodiversity targets
Tittensor, D. P., Walpole, M., Hill, S. L. L., Boyce, D. G., Britten, G. L., Burgess, N. D., Butchart, S. H. M., Leadley, P. W., Regan, E. C., Alkemade, R., et al. (2014) · Science · doi:10.1126/science.1257484 · Cited by 1,227 · see citing works
Developing indicators for European birds
Gregory, R. D., van Strien, A., Vorisek, P., Gmelig Meyling, A. W., Noble, D. G., Foppen, R. P. B., & Gibbons, D. W. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2004.1602 · Cited by 948 · see citing works
Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data
Boakes, E. H., McGowan, P. J. K., Fuller, R. A., Chang-qing, D., Clark, N. E., O'Connor, K., & Mace, G. M. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000385 · Cited by 824 · see citing works
Geographical and taxonomic biases in invasion ecology
Pyšek, P., Richardson, D. M., Pergl, J., Jarošík, V., Sixtová, Z., & Weber, E. (2008) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.02.002 · Cited by 818 · see citing works
Global biodiversity change: The bad, the good, and the unknown
Pereira, H. M., Navarro, L. M., & Martins, I. S. (2012) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-042911-093511 · Cited by 777 · see citing works
Estimating the normal background rate of species extinction
de Vos, J. M., Joppa, L., Gittleman, J. L., Stephens, P. R., & Pimm, S. L. (2014) · Conservation Biology · doi:10.1111/cobi.12380 · Cited by 676 · see citing works
Global distribution and conservation of rare and threatened vertebrates
Grenyer, R., Orme, C. D. L., Jackson, S. F., Thomas, G. H., Davies, R. G., Davies, T. J., Jones, K. E., Olson, V. A., Ridgely, R. S., Rasmussen, P. C., et al. (2006) · Nature · doi:10.1038/nature05237 · Cited by 569 · see citing works
Statistics for citizen science: extracting signals of change from noisy ecological data
Isaac, N. J. B., Strien, A. J. V., August, T., de Zeeuw, M. P., & Roy, D. B. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12254 · Cited by 567 · see citing works
Martin, L. J., Blossey, B., & Ellis, E. (2012) · Frontiers in Ecology and the Environment · doi:10.1890/110154 · Cited by 521 · cited 1× · see citing works
“Test of proportions for unique locations in the LPI compared to observed values in Martin et al (2012) with significance levels indicated ( p < 0.05, p < 0.01, p< 0.001).”
ResultInfluentialThe Living Planet Index: using species population time series to track trends in biodiversity
Loh, J., Green, R. E., Ricketts, T., Lamoreux, J., Jenkins, M., Kapos, V., & Randers, J. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2004.1584 · Cited by 487 · see citing works
Monitoring Change in Vertebrate Abundance: the Living Planet Index
COLLEN, B., LOH, J., WHITMEE, S., McRAE, L., AMIN, R., & BAILLIE, J. E. M. (2009) · Conservation Biology · doi:10.1111/j.1523-1739.2008.01117.x · Cited by 441 · see citing works
Self-citationWhat we know and don’t know about Earth's missing biodiversity
Scheffers, B. R., Joppa, L. N., Pimm, S. L., & Laurance, W. F. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.05.008 · Cited by 437 · see citing works
How Global Is the Global Biodiversity Information Facility?
Yesson, C., Brewer, P. W., Sutton, T., Caithness, N., Pahwa, J. S., Burgess, M., Gray, W. A., White, R. J., Jones, A. C., Bisby, F. A., et al. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001124 · Cited by 369 · see citing works
Predicting the conservation status of data-deficient species
Bland, L. M., Collen, B., Orme, C. D. L., & Bielby, J. (2015) · Conservation Biology · doi:10.1111/cobi.12372 · Cited by 364 · see citing works
The tropical biodiversity data gap: addressing disparity in global monitoring
Collen, B., Ram, M., Zamin, T., & McRae, L. (2008) · Tropical Conservation Science · doi:10.1177/194008290800100202 · Cited by 327 · see citing works
Self-citationPettorelli, N., Wegmann, M., Skidmore, A. K., Mücher, C. A., Dawson, T. P., Fernández, M., Lucas, R., Schaepman, M. E., Wang, T., O'Connor, B., et al. (2016) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.15 · Cited by 322 · see citing works
Global biodiversity monitoring: From data sources to Essential Biodiversity Variables
Proença, V. M., Martin, L. J., Pereira, H. M., Fernández, M., McRae, L., Belnap, J., Böhm, M., Brummitt, N. A., García‐Moreno, J., Gregory, R. D., et al. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.07.014 · Cited by 300 · see citing works
Self-citationButterfly monitoring in Europe: methods, applications and perspectives
van Swaay, C. A. M., Nowicki, P., Settele, J., & van Strien, A. J. (2008) · Biodiversity and Conservation · doi:10.1007/s10531-008-9491-4 · Cited by 297 · see citing works
Tracking Progress Toward the 2010 Biodiversity Target and Beyond
Walpole, M., Almond, R. E. A., Besançon, C., Butchart, S. H. M., Campbell-Lendrum, D. H., Carr, G. M., Collen, B., Collette, L., Davidson, N. C., Dulloo, E., et al. (2009) · Science · doi:10.1126/science.1175466 · Cited by 230 · see citing works
Assessing the suitability of diversity metrics to detect biodiversity change
Santini, L., Belmaker, J., Costello, M. J., Pereira, H. M., Rossberg, A. G., Schipper, A. M., Ceaușu, S., Dornelas, M., Hilbers, J. P., Hortal, J., et al. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.08.024 · Cited by 174 · see citing works
The Why, What, and How of Global Biodiversity Indicators Beyond the 2010 Target
Jones, J. P. G., Collen, B., Atkinson, G., Baxter, P. W. J., Bubb, P., Illian, J., Katzner, T. E., Keane, A. M., Loh, J., McDonald‐Madden, E., et al. (2010) · Conservation Biology · doi:10.1111/j.1523-1739.2010.01605.x · Cited by 151 · see citing works
Predicting how populations decline to extinction
Collen, B., McRae, L., Deinet, S., De Palma, A., Carranza, T., Cooper, N., Loh, J., & Baillie, J. E. M. (2011) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0015 · Cited by 141 · see citing works
Making Robust Policy Decisions Using Global Biodiversity Indicators
Nicholson, E., Collen, B., Barausse, A., Blanchard, J. L., Costelloe, B. T., Sullivan, K. M. E., Underwood, F. M., Burn, R. W., Fritz, S., Jones, J. P. G., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041128 · Cited by 128 · see citing works
Self-citationThe geometric mean of relative abundance indices: a biodiversity measure with a difference
Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011) · Ecosphere · doi:10.1890/es11-00186.1 · Cited by 102 · see citing works
Collen, B., & Nicholson, E. (2014) · Science · doi:10.1126/science.1255772 · Cited by 76 · see citing works
Kissling, W. D., Hardisty, A., García, E. A., Santamaría, M., Leo, F. D., Pesole, G., Freyhof, J., Manset, D., Wissel, S., Konijn, J., et al. (2015) · Biodiversity · doi:10.1080/14888386.2015.1068709 · Cited by 59 · see citing works
Biodiversity databases should gain support from journals
Huang, X., & Qiao, G. (2011) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.05.006 · Cited by 17 · see citing works
McRae, L., Deinet, S., & Freeman, R. (2016) · doi:10.7287/peerj.preprints.2214v2 · Cited by 17 · see citing works
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Bending the Curve of Global Freshwater Biodiversity Loss: An Emergency Recovery Plan
Tickner, D., Opperman, J. J., Abell, R., Acreman, M., Arthington, A. H., Bunn, S. E., Cooke, S. J., Dalton, J., Darwall, W., Edwards, G., et al. (2020) · BioScience · doi:10.1093/biosci/biaa002 · Cited by 1,241 · see citing works
The direct drivers of recent global anthropogenic biodiversity loss
Jaureguiberry, P., Titeux, N., Wiemers, M., Bowler, D. E., Coscieme, L., Golden, A. S., Guerra, C. A., Jacob, U., Takahashi, Y., Settele, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm9982 · Cited by 1,121 · see citing works
Bending the curve of terrestrial biodiversity needs an integrated strategy
Leclère, D., Obersteiner, M., Barrett, M., Butchart, S. H. M., Chaudhary, A., De Palma, A., DeClerck, F. A. J., Di Marco, M., Doelman, J. C., Dürauer, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2705-y · Cited by 922 · see citing works
Self-citationAiming higher to bend the curve of biodiversity loss
Mace, G. M., Barrett, M., Burgess, N. D., Cornell, S. E., Freeman, R., Grooten, M., & Purvis, A. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0130-0 · Cited by 550 · see citing works
Self-citationKissling, W. D., Ahumada, J., Bowser, A., Fernández, M., Fernández, N., García, E. A., Guralnick, R., Isaac, N. J. B., Kelling, S., Los, W., et al. (2017) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12359 · Cited by 323 · see citing works
“org/data_portal) as well as with the latest publication (McRae et al., 2017) and as part of the Living Planet Report (http://www.”
Self-citationThe global decline of freshwater megafauna
He, F., Zarfl, C., Bremerich, V., David, J. N. W., Hogan, Z. S., Kalinkat, G., Tockner, K., & Jähnig, S. C. (2019) · Global Change Biology · doi:10.1111/gcb.14753 · Cited by 285 · see citing works
“The calculation procedure is summarized below (see McRae et al., 2017 for further details).”
MethodInfluentialRole of economics in analyzing the environment and sustainable development
Polasky, S., Kling, C. L., Levin, S. A., Carpenter, S. R., Daily, G. C., Ehrlich, P. R., Heal, G., & Lubchenco, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1901616116 · Cited by 243 · see citing works
Nicholson, E., Watermeyer, K. E., Rowland, J. A., Sato, C. F., Stevenson, S., Andrade, Á., Brooks, T. M., Burgess, N. D., Cheng, S., Grantham, H. S., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01538-5 · Cited by 218 · see citing works
Rapid warming is associated with population decline among terrestrial birds and mammals globally
Spooner, F. E. B., Pearson, R. G., & Freeman, R. (2018) · Global Change Biology · doi:10.1111/gcb.14361 · Cited by 211 · see citing works
Self-citationComplex long-term biodiversity change among invertebrates, bryophytes and lichens
Outhwaite, C. L., Gregory, R. D., Chandler, R. E., Collen, B., & Isaac, N. J. B. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1111-z · Cited by 201 · see citing works
Darrah, S. E., Shennan-Farpón, Y., Loh, J., Davidson, N. C., Finlayson, C. M., Gardner, R. C., & Walpole, M. J. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2018.12.032 · Cited by 196 · see citing works
A strategy for the next decade to address data deficiency in neglected biodiversity
Hochkirch, A., Samways, M. J., Gerlach, J., Böhm, M., Williams, P., Cardoso, P., Cumberlidge, N., Stephenson, P. J., Seddon, M. B., Clausnitzer, V., et al. (2020) · Conservation Biology · doi:10.1111/cobi.13589 · Cited by 204 · see citing works
“Tracking global population trends: population time-series data and a Living Planet Index for reptiles.”
BackgroundInfluentialBuilding capacity in biodiversity monitoring at the global scale
Schmeller, D. S., Böhm, M., Arvanitidis, C., Barber-Meyer, S. M., Brummitt, N. A., Chandler, M., Chatzinikolaou, E., Costello, M. J., Ding, H., García‐Moreno, J., et al. (2017) · Biodiversity and Conservation · doi:10.1007/s10531-017-1388-7 · Cited by 188 · see citing works
A quantitative global review of species population monitoring
Moussy, C., Burfield, I. J., Stephenson, P. J., Newton, A. F. E., Butchart, S. H. M., Sutherland, W. J., Gregory, R. D., McRae, L., Bubb, P., Roesler, I., et al. (2021) · Conservation Biology · doi:10.1111/cobi.13721 · Cited by 166 · see citing works
Self-citationClustered versus catastrophic global vertebrate declines
Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B. J., Dornelas, M., & Freeman, R. (2020) · Nature · doi:10.1038/s41586-020-2920-6 · Cited by 165 · see citing works
Self-citationThe conservation status of the world’s freshwater molluscs
Böhm, M., Richman, N. I., Seddon, M. B., Ledger, S. E. H., Albrecht, C., Allen, D., Bogan, A. E., Cordeiro, J., Cummings, K. S., Cuttelod, A., et al. (2020) · Hydrobiologia · doi:10.1007/s10750-020-04385-w · Cited by 160 · see citing works
Gregory, R. D., Škorpilová, J., Voříšek, P., & Butler, S. J. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2019.04.064 · Cited by 149 · see citing works
Urban Stream and Wetland Restoration in the Global South—A DPSIR Analysis
Wantzen, K., Alves, C., Badiane, S., Bala, R., Blettler, M., Callisto, M., Cao, Y., Kolb, M., Kondolf, G., Leite, M., et al. (2019) · Sustainability · doi:10.3390/su11184975 · Cited by 135 · see citing works
“Freshwater ecosystems have suffered the strongest decline of global biodiversity, while their vertebrate populations alone have declined by 83% between 1970 and 2012 [4], with maximum values of 94% in the Neotropics [5].”
BackgroundSampling and modelling rare species: Conceptual guidelines for the neglected majority
Jeliazkov, A., Gavish, Y., Marsh, C. J., Geschke, J., Brummitt, N. A., Rocchini, D., Haase, P., Kunin, W. E., & Henle, K. (2022) · Global Change Biology · doi:10.1111/gcb.16114 · Cited by 124 · see citing works
“Thus, we might wrongly conclude that the species distribution is deteriorating whilst it may in fact be in an equilibrium state (Magurran et al., 2010) (but see (McRae et al., 2017)).”
BackgroundBrlík, V., Šilarová, E., Škorpilová, J., Alonso, H., Anton, M., Auniņš, A., Benkő, Z., Biver, G., Busch, M., Chodkiewicz, T., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-00804-2 · Cited by 116 · see citing works
An inventory of biodiversity data sources for conservation monitoring
Stephenson, P. J., & Stengel, C. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242923 · Cited by 110 · see citing works
“These findings reflect recognised global trends, with major gaps in biodiversity data in highbiodiversity tropical countries [13, 29, 30].”
BackgroundPalma, A. D., Sánchez-Ortiz, K., Martin, P. A., Chadwick, A. J., Gilbert, G., Bates, A. E., Börger, L., Contu, S., Hill, S. L. L., & Purvis, A. (2018) · Advances in ecological research/Advances in Ecological Research · doi:10.1016/bs.aecr.2017.12.004 · Cited by 104 · see citing works
Temporal trends in the spatial bias of species occurrence records
Bowler, D. E., Callaghan, C. T., Bhandari, N., Henle, K., Barth, M. B., Koppitz, C., Klenke, R., Winter, M., Jansen, F., Bruelheide, H., et al. (2022) · Ecography · doi:10.1111/ecog.06219 · Cited by 106 · see citing works
We need to talk about nonprobability samples
Boyd, R. J., Powney, G. D., & Pescott, O. L. (2023) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2023.01.001 · Cited by 114 · see citing works
Data justice and biodiversity conservation
Pritchard, R., Sauls, L. A., Oldekop, J. A., Kiwango, W. A., & Brockington, D. (2022) · Conservation Biology · doi:10.1111/cobi.13919 · Cited by 93 · see citing works
Monitoring the biodiversity of regions: Key principles and possible pitfalls
Buckland, S. T., & Johnston, A. (2017) · Biological Conservation · doi:10.1016/j.biocon.2017.07.034 · Cited by 89 · see citing works
García‐Roselló, E., González‐Dacosta, J., & Lobo, J. M. (2023) · Biological Conservation · doi:10.1016/j.biocon.2023.110118 · Cited by 85 · see citing works
Williams‐Subiza, E. A., & Epele, L. B. (2021) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.3627 · Cited by 84 · see citing works
Towards a multidimensional biodiversity index for national application
Soto-Navarro, C., Harfoot, M., Hill, S. L. L., Campbell, J., Mora, F., Campos, C., Pretorius, C., Pascual, U., Kapos, V., Allison, H., et al. (2021) · Nature Sustainability · doi:10.1038/s41893-021-00753-z · Cited by 83 · see citing works
Measuring the Impact of Conservation: The Growing Importance of Monitoring Fauna, Flora and Funga
Stephenson, P. J., Londoño, M. C., Borges, P. A. V., Claassens, L., Frisch-Nwakanma, H., Ling, N., McMullan-Fisher, S., Meeuwig, J. J., Unter, K. M. M., Walls, J. L., et al. (2022) · Diversity · doi:10.3390/d14100824 · Cited by 82 · see citing works
Treating gaps and biases in biodiversity data as a missing data problem
Bowler, D. E., Boyd, R. J., Callaghan, C. T., Robinson, R. A., Isaac, N. J. B., & Pocock, M. J. O. (2024) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.13127 · Cited by 90 · see citing works
“However, some of the approaches we discuss later for dealing with spatio-temporal gaps have been applied to account for taxonomic gaps (e.g. weighting in the Living Planet Index, McRae, Deinet & Freeman, 2017) and missing data thinking could be extended to these types of gaps.”
Rare and common vertebrates span a wide spectrum of population trends
Daskalova, G. N., Myers‐Smith, I. H., & Godlee, J. L. (2020) · Nature Communications · doi:10.1038/s41467-020-17779-0 · Cited by 77 · see citing works
Mammal population densities at a global scale are higher in human‐modified areas
Tucker, M. A., Santini, L., Carbone, C., & Mueller, T. (2020) · Ecography · doi:10.1111/ecog.05126 · Cited by 75 · see citing works
The undetectability of global biodiversity trends using local species richness
Valdez, J. W., Callaghan, C. T., Junker, J., Purvis, A., Hill, S. L. L., & Pereira, H. M. (2023) · Ecography · doi:10.1111/ecog.06604 · Cited by 74 · see citing works
Palma, A. D., Hoskins, A. J., Gonzalez, R. E., Börger, L., Newbold, T., Sánchez-Ortiz, K., Ferrier, S., & Purvis, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-98811-1 · Cited by 71 · see citing works
Past, present, and future of the Living Planet Index
Ledger, S. E. H., Loh, J., Almond, R. E. A., Böhm, M., Clements, C. F., Currie, J., Deinet, S., Galewski, T., Grooten, M., Jenkins, M. D., et al. (2023) · npj Biodiversity · doi:10.1038/s44185-023-00017-3 · Cited by 71 · see citing works
“This issue is ampli fi ed for regions and taxa which are recognised as underrepresented within the dataset such as tropical regions and fi sh, reptiles and amphibians (Supplementary Tables 7, 8) 27,103 .”
InfluentialSelf-citationA global perspective on the functional responses of stream communities to flow intermittence
Crabot, J., Mondy, C. P., Usseglio‐Polatera, P., Fritz, K. M., Wood, P. J., Greenwood, M. J., Bogan, M. T., Meyer, E. I., & Datry, T. (2021) · Ecography · doi:10.1111/ecog.05697 · Cited by 66 · see citing works
“However, approximately a third of all freshwater species are endangered (Collen et al. 2013) and the reported decline of freshwater vertebrates and insects is much higher than those reported from terrestrial or marine biomes (McRae et al. 2017, Baranov et al. 2020).”
Through the Eye of a Needle: An Eco-Heterodox Perspective on the Renewable Energy Transition
Seibert, M. K., & Rees, W. E. (2021) · Energies · doi:10.3390/en14154508 · Cited by 67 · see citing works
“McRae et al. [12] estimate that the populations of non-human vertebrate species declined by 58% between 1970 and 2012 alone.”
BackgroundHardesty‐Moore, M., Deinet, S., Freeman, R., Titcomb, G., Dillon, E., Stears, K., Klope, M., Bui, A. Q. T., Orr, D. A., Young, H. S., et al. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0017 · Cited by 61 · see citing works
Self-citationStephenson, P. J., Ntiamoa‐Baidu, Y., & Simaika, J. P. (2020) · Frontiers in Environmental Science · doi:10.3389/fenvs.2020.00061 · Cited by 61 · see citing works
“As a result, many global data sets have taxonomic, temporal, and geographic gaps in coverage (Stephenson et al., 2015a; McRae et al., 2017).”
BackgroundMonitoring extinction risk and threats of the world’s fishes based on the Sampled Red List Index
Miranda, R., Miqueleiz, I., Darwall, W. R. T., Sayer, C. A., Dulvy, N. K., Carpenter, K. E., Polidoro, B., Richman, N. I., Pollock, C. M., Hilton‐Taylor, C., et al. (2022) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-022-09710-1 · Cited by 62 · see citing works
“…by the Living Planet Index, a measure of the trends of global biodiversity based on population trends of vertebrate species from around the world (McRae et al. 2017), showed an average decline of around 52% for monitored marine vertebrate populations since 1970 (WWF 2015), compared to 84% for…”
BackgroundSelf-citationScenarios of Good Anthropocenes in southern Africa
Hamann, M., Biggs, R., Pereira, L. M., Preiser, R., Hichert, T. N., Blanchard, R., Warrington-Coetzee, H., King, N., Merrie, A., Nilsson, W. O., et al. (2020) · Futures · doi:10.1016/j.futures.2020.102526 · Cited by 59 · see citing works
Effects of site‐selection bias on estimates of biodiversity change
Mentges, A., Blowes, S. A., Hodapp, D., Hillebrand, H., & Chase, J. M. (2020) · Conservation Biology · doi:10.1111/cobi.13610 · Cited by 60 · see citing works
“However, these estimates can be confounded by sampling biases that influence data availability and analyses that are possible (Gonzalez et al. 2016), including overor underrepresentation of geographic regions, land-use types, and taxonomic groups (Martin et al. 2012; McRae et al. 2017).”
BackgroundSaha, A., McRae, L., Dodd, C. K., Gadsden, H., Hare, K. M., Lukoschek, V., & Böhm, M. (2018) · Journal of Herpetology · doi:10.1670/17-076 · Cited by 59 · see citing works
“Population time-series data are included in the LPD if they contain at least two data points, the monitoring method used is the same throughout the time series, the method used is reputable and appropriate for the species, and the units represent the size or abundance of the population being monitored (Collen et al.,…”
InfluentialSelf-citationSpecies life‐history strategies affect population responses to temperature and land‐cover changes
Albaladejo‐Robles, G., Böhm, M., & Newbold, T. (2022) · Global Change Biology · doi:10.1111/gcb.16454 · Cited by 55 · see citing works
“Similarly, random population fluctuations can compromise the accuracy of the LPI even if, K E Y W O R D S climate, land- use change, life- histories, living planet index, macroecology, population trends, terrestrial vertebrates on average, populations remain stable, especially when populations are small (Buschke et al…”
BackgroundMethodInfluentialA review of deep learning techniques for detecting animals in aerial and satellite images
Xu, Z., Wang, T., Skidmore, A. K., & Lamprey, R. H. (2024) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2024.103732 · Cited by 67 · see citing works
“The species population is one of the most fundamental and priority variables to be monitored, as recognized by the EBV framework and supported by subsequent studies (Skidmore et al., 2015; Brummitt et al., 2017; McRae et al., 2017; Jetz et al., 2019; Skidmore et al., 2021).”
BackgroundImpact of climate change on the small mammal community of the Yukon boreal forest
Krebs, C. J., Boonstra, R., GILBERT, B. S., Kenney, A. J., & Boutin, S. A. (2019) · Integrative Zoology · doi:10.1111/1749-4877.12397 · Cited by 55 · see citing works
“There is a general feeling among conservation biologists that biodiversity is being lost on an ever-increasing scale and that most populations that have been studied are declining in abundance (Estes et al. 2011; McRae et al. 2017; Ripple et al. 2017; but see Vellend 2017).”
BackgroundThe species awareness index as a conservation culturomics metric for public biodiversity awareness
Millard, J. W., Gregory, R. D., Jones, K. E., & Freeman, R. (2021) · Conservation Biology · doi:10.1111/cobi.13701 · Cited by 53 · see citing works
“The LPI represents an aggregation of vertebrate population trends (Loh et al. 2005; Collen 2009; McRae et al. 2017), showing the average rate of change for multiple species populations.”
BackgroundSelf-citationImpacts of loss of free-flowing rivers on global freshwater megafauna
He, F., Thieme, M. L., Zarfl, C., Grill, G., Lehner, B., Hogan, Z. S., Tockner, K., & Jähnig, S. C. (2021) · Biological Conservation · doi:10.1016/j.biocon.2021.109335 · Cited by 54 · see citing works
A robust goal is needed for species in the Post‐2020 Global Biodiversity Framework
Williams, B. A., Watson, J. E. M., Butchart, S. H. M., Ward, M., Brooks, T. M., Butt, N., Bolam, F. C., Stuart, S. N., Mair, L., McGowan, P. J. K., et al. (2020) · Conservation Letters · doi:10.1111/conl.12778 · Cited by 50 · see citing works
“Average population abundance as measured by the Living Planet Index has declined by 60% since 1970 (McRae, Deinet, & Freeman, 2017), which is the earliest time-point with sufficient data for global trends to be assessed.”
MethodCauses and consequences of insect decline in tropical forests
Boyle, M. J. W., Bonebrake, T. C., da Silva, K. D., Dongmo, M. A. K., França, F. M., Gregory, N., Kitching, R. L., Ledger, M. J., Lewis, O. T., Sharp, A. C., et al. (2025) · Nature Reviews Biodiversity · doi:10.1038/s44358-025-00038-9 · Cited by 56 · see citing works
“This bias presents a worrying problem during an era of rapid global change, as biodiversity indices are highly sensitive to spatial and taxonomic coverage 11 .”
Bowler, D. E., Nilsen, E. B., Bischof, R., O’Hara, R. B., Yu, T. T., Oo, T., Aung, M., & Linnell, J. D. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-44075-9 · Cited by 50 · see citing works
Do not downplay biodiversity loss
Loreau, M., Cardinale, B. J., Isbell, F. I., Newbold, T., O’Connor, M. I., & de Mazancourt, C. (2022) · Nature · doi:10.1038/s41586-021-04179-7 · Cited by 49 · see citing works
García‐del‐Amo, D., Mortyn, P. G., & Reyes‐García, V. (2020) · Climatic Change · doi:10.1007/s10584-019-02628-x · Cited by 50 · see citing works
Hunting Wildlife in the Tropics and Subtropics
Fa, J. E., Funk, S. M., & Nasi, R. (2022) · Cambridge University Press eBooks · doi:10.1017/9781316338704 · Cited by 48 · see citing works
Römer, G., Dahlgren, J. P., Salguero‐Gómez, R., Stott, I., & Jones, O. R. (2023) · Oikos · doi:10.1111/oik.10250 · Cited by 47 · see citing works
LIFE: A metric for mapping the impact of land-cover change on global extinctions
Eyres, A., Ball, T., Dales, M., Swinfield, T., Arnell, A., Baisero, D., Durán, A. P., Green, J., Green, R. E., Madhavapeddy, A., et al. (2025) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0327 · Cited by 47 · see citing works
“For example, the Living Planet Index [12] uses data only for vertebrates, much of it from Europe and North America, though in this case substantial efforts are made to adjust statistically for differences in the coverage of different classes and regions [13].”
Maloney, E. M. (2018) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4308 · Cited by 43 · see citing works
“Recent reports indicate that over the last 30 yr there has been a 58% global population decline in all vertebrate species, and 81, 36, and 38%decreases in freshwater, marine, and terrestrial vertebrate populations, respectively (McRae et al. 2017).”
BackgroundChoice of baseline affects historical population trends in hunted mammals of North America
Collins, A. C., Böhm, M., & Collen, B. (2020) · Biological Conservation · doi:10.1016/j.biocon.2020.108421 · Cited by 43 · see citing works
Using decision science to evaluate global biodiversity indices
Watermeyer, K. E., Guillera‐Arroita, G., Bal, P., Burgass, M. J., Bland, L. M., Collen, B., Hallam, C., Kelly, L. T., Mccarthy, M. A., Regan, T. J., et al. (2020) · Conservation Biology · doi:10.1111/cobi.13574 · Cited by 42 · see citing works
“…or missing data could be reduced by broadening databases to reduce taxonomic or geographic bias, using methods, such as the sampled RLI or the diversity-weighted LPI (McRae et al. 2017), or addressing data gaps through simulation approaches, such as archetype models (e.g., Ferrier et al. 2016).”
BackgroundMethodIntegrating Remote Sensing into Wildlife Monitoring for Conservation
Stephenson, P. J. (2019) · Environmental Conservation · doi:10.1017/s0376892919000092 · Cited by 41 · see citing works
“2016), remote sensing can also help fill the data gaps that exist in high-biodiversity tropical countries (McRae et al. 2017) and help build time-series data of higher temporal and spatial resolution.”
BackgroundRandom population fluctuations bias the Living Planet Index
Buschke, F., Hagan, J. G., Santini, L., & Coetzee, B. W. T. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01494-0 · Cited by 41 · see citing works
Biological determinants of research effort on Australian birds: a comparative analysis
Yarwood, M. R., Weston, M. A., & Symonds, M. R. E. (2018) · Emu - Austral Ornithology · doi:10.1080/01584197.2018.1501274 · Cited by 36 · see citing works
“Uneven sampling of different taxa can create difficulties in comparative and meta-analyses (Hillis 1998; Thomas et al. 2003) and estimating biodiversity decline (McRae et al. 2017).”
BackgroundBateman, I. J., Anderson, K., Argles, A. P. K., Belcher, C. M., Betts, R., Binner, A. R., Brazier, R. E., Cho, F. H. T., Collins, R., Day, B., et al. (2022) · People and Nature · doi:10.1002/pan3.10331 · Cited by 41 · see citing works
Cornford, R., Spooner, F. E. B., McRae, L., Purvis, A., & Freeman, R. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.0464 · Cited by 39 · see citing works
Self-citationMajor biases and knowledge gaps on fragmentation research in Brazil: Implications for conservation
Teixido, A. L., Gonçalves, S. R. A., Fernández-Arellano, G., Dáttilo, W., Izzo, T. J., Layme, V. M. G., Moreira, L. F. B., & Quintanilla, L. G. (2020) · Biological Conservation · doi:10.1016/j.biocon.2020.108749 · Cited by 38 · see citing works
Iacaruso, N. J., Reves, O. P., Merkelz, S. J., Waldrep, C. L., & Davis, M. A. (2025) · Ecography · doi:10.1002/ecog.07952 · Cited by 37 · see citing works
A threatened species index for Australian birds
Bayraktarov, E., Ehmke, G. C., TULLOCH, A. I. T., Chauvenet, A. L. M., Avery‐Gomm, S., McRae, L., Wintle, B. A., O’Connor, J., Driessen, J., Watmuff, J., et al. (2020) · Conservation Science and Practice · doi:10.1111/csp2.322 · Cited by 37 · see citing works
“Based on the Living Planet Index method and containing more than 17,000 time series for 65 bird taxa surveyed systematically, the index at its second iteration shows an average reduction of 59% between 1985 and 2016, and 44% between 2000 and 2016.”
BackgroundMethodInfluentialSelf-citationBelow the canopy: global trends in forest vertebrate populations and their drivers
Green, E. J., McRae, L., Freeman, R., Harfoot, M. B. J., Hill, S. L. L., Baldwin-Cantello, W., & Simonson, W. D. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2020.0533 · Cited by 35 · see citing works
“By comparison, the terrestrial LPI declined by 41% between 1970 and 2014 (figure 1b; index value: 0.59; range 0.44–0.79), representing an average decline for 5175 monitored terrestrial populations with an annual rate of 1.2% per year.”
MethodInfluentialSelf-citationWearn, O. R., Bell, T. E. M., Bolitho, A., Durrant, J. R., Haysom, J. K., Nijhawan, S., Thorley, J. B., & Rowcliffe, J. M. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13930 · Cited by 32 · see citing works
“…not shown to allow use of the same scale across species. explanation for this is that logged forests provide a higher density of resources, in particular resources at ground level for herbivores and omnivores (Meijaard & Sheil, 2008), leading to less time spent travelling and more time foraging.”
BackgroundFriedrichs‐Manthey, M., Langhans, S. D., Hein, T. I. A., Borgwardt, F., Kling, H., Jähnig, S. C., & Domisch, S. (2020) · Ecology and Evolution · doi:10.1002/ece3.6110 · Cited by 31 · see citing works
Drivers and impacts of global seed disperser decline
Fricke, E. C., Bello, C., Chaplin‐Kramer, R., Dent, D. H., Feeley, K. J., Galetti, M., González‐Varo, J. P., Heleno, R., & Reid, J. L. (2025) · Nature Reviews Biodiversity · doi:10.1038/s44358-025-00053-w · Cited by 30 · see citing works
“…across regions 11 , mean decline of range size for seed-dispersing mammals 90 and mean decline in population size across birds and mammals 93 . b , International Union for Conservation of Nature (IUCN) Red List categories for seed-dispersing birds and mammals, other birds and mammals or…”
Advancing causal inference in ecology: Pathways for biodiversity change detection and attribution
Schrodt, F., Beck, M., Estopinan, J., Bowler, D. E., Fontaine, C., Gaüzère, P., Goury, R., Grenié, M., Martins, I. S., Morueta‐Holme, N., et al. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70131 · Cited by 37 · see citing works
“Similarly, approaches have been developed to specifically address non-random taxonomic bias (Henriques et al., 2020 ; McRae et al., 2017 ).”
He, F., Arora, R., & Mansour, I. (2023) · Wiley Interdisciplinary Reviews Water · doi:10.1002/wat2.1641 · Cited by 29 · see citing works
“At the same time, freshwater ecosystems have higher percentages of extinct and threatened species and a sharper decline of vertebrate populations than marine or terrestrial realms (Costello, 2015; McRae et al., 2017).”
BackgroundThe future of global river health monitoring
Kuehne, L. M., Dickens, C. W. S., Tickner, D., Messager, M., Olden, J. D., O'Brien, G. C., Lehner, B., & Eriyagama, N. (2023) · PLOS Water · doi:10.1371/journal.pwat.0000101 · Cited by 32 · see citing works
The Living Planet Index does not measure abundance
Puurtinen, M., Elo, M., & Kotiaho, J. S. (2022) · Nature · doi:10.1038/s41586-021-03708-8 · Cited by 29 · see citing works
A simple survey protocol for assessing terrestrial biodiversity in a broad range of ecosystems
Lõhmus, A., Lõhmus, P., & Runnel, K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208535 · Cited by 28 · see citing works
A guide to representing variability and uncertainty in biodiversity indicators
Rowland, J. A., Bland, L. M., James, S., & Nicholson, E. (2021) · Conservation Biology · doi:10.1111/cobi.13699 · Cited by 28 · see citing works
“The LPI is calculated as the geometric mean of the rate of change in vertebrate species population abundances globally (McRae et al. 2017).”
MethodPöysä, H., Holopainen, S., Elmberg, J., Gunnarsson, G., Nummi, P., & Sjöberg, K. (2019) · Scientific Reports · doi:10.1038/s41598-018-38167-1 · Cited by 27 · see citing works
More exposure opportunities for promoting freshwater conservation
He, F., Jähnig, S. C., Wetzig, A., & Langhans, S. D. (2021) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.3725 · Cited by 27 · see citing works
A global indicator of utilized wildlife populations: Regional trends and the impact of management
McRae, L., Freeman, R., Geldmann, J., Moss, G. B., Kjær-Hansen, L., & Burgess, N. D. (2022) · One Earth · doi:10.1016/j.oneear.2022.03.014 · Cited by 37 · see citing works
“First, our index builds on data and methods that are already established in research and policy.(16,35,36,38) Second, using population trend data allows integration of site-level information on the type of utilization and management.”
InfluentialSelf-citationMultiple forms of hotspots of tetrapod biodiversity and the challenges of open-access data scarcity
Grattarola, F., Martínez‐Lanfranco, J. A., Botto, G., Naya, D. E., Maneyro, R., Mai, P., Hernández, D., Laufer, G., Ziegler, L., González, E. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-79074-8 · Cited by 26 · see citing works
Testing the performance of ecosystem indices for biodiversity monitoring
Rowland, J. A., Lee, C. K. F., Bland, L. M., & Nicholson, E. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106453 · Cited by 24 · see citing works
Cornford, R., Deinet, S., Palma, A. D., Hill, S. L. L., McRae, L., Pettit, B., Marconi, V., Purvis, A., & Freeman, R. (2020) · Global Ecology and Biogeography · doi:10.1111/geb.13219 · Cited by 24 · see citing works
“Given the imbalances that exist within ecological datasets (Gonzalez et al., 2016; McRae et al., 2017), text classifiers like ours could propagate bias, as evidenced by the strong influence of certain terms in the logistic models, for example, ‘forest’ and ‘fish’.”
BackgroundSelf-citationBrolin, J., & Kander, A. (2020) · The Anthropocene Review · doi:10.1177/2053019620973711 · Cited by 22 · see citing works
“Some suggest increased rates of vertebrate extinction since the late 19th century (Li et al., 2016) and drastically rising rates of extinction (up to 1000 times or more) above background rates for the past 200 years (Ceballos et al., 2015; McRae et al., 2017; Newbold et al., 2015).”
BackgroundPlant diversity conservation in an agricultural frontier in the Brazilian Cerrado
Santana, J. C. D. O., & Simon, M. F. (2022) · Biodiversity and Conservation · doi:10.1007/s10531-022-02356-2 · Cited by 22 · see citing works
TULLOCH, A. I. T., Jackson, M. V., Bayraktarov, E., Carey, A. R., Correa, D. F., Driessen, M. M., Gynther, I., Hardie, M., Moseby, K. E., Joseph, L. N., et al. (2022) · Conservation Biology · doi:10.1111/cobi.14032 · Cited by 24 · see citing works
“13% annual average decline of terrestrial species estimated by the LPI (McRae et al., 2017).”
BackgroundMethodInfluentialLand use and soil characteristics affect soil organisms differently from above-ground assemblages
Burton, V. J., Contu, S., Palma, A. D., Hill, S. L. L., Albrecht, H., Bone, J. S., Carpenter, D., Corstanje, R., SMEDT, P. D., Farrell, M., et al. (2022) · BMC Ecology and Evolution · doi:10.1186/s12862-022-02089-4 · Cited by 22 · see citing works
“The most widely used indicators of biodiversity, e.g. the Red List Index [49] and the Living Planet Index [50], include few or no soil taxa [6].”
MethodExtinction risk of the world's freshwater mammals
Sanders, E., Wassens, S. M., Michael, D., Nimmo, D. G., & Turner, J. M. (2023) · Conservation Biology · doi:10.1111/cobi.14168 · Cited by 23 · see citing works
“Freshwater vertebrate populations have declined by 81% since 1970, and since 1900 an estimated 71% of the world’s wetlands have been lost (Davidson, 2014; McRae et al., 2017).”
BackgroundDove, S., Böhm, M., Freeman, R., McRae, L., & Murrell, D. J. (2023) · Global Change Biology · doi:10.1111/gcb.16841 · Cited by 21 · see citing works
“A non-linear index trend was calculated for each complete, un-degraded dataset (without observation error), following McRae et al. ( 2017 ), as for the sampled trends.”
InfluentialSelf-citationSources of confusion in global biodiversity trends
Boënnec, M., Dakos, V., & Devictor, V. (2024) · Oikos · doi:10.1111/oik.10732 · Cited by 20 · see citing works
Ewing, H., Franks, S. E., Smart, J., Burton, N. H. K., & Gill, J. A. (2022) · Ibis · doi:10.1111/ibi.13180 · Cited by 19 · see citing works
Agricultural spider decline: long-term trends under constant management conditions
Samu, F., Szita, É., Botos, E., Simon, J., Gallé‐Szpisjak, N., & Gallé, R. (2023) · Scientific Reports · doi:10.1038/s41598-023-29003-2 · Cited by 18 · see citing works
Tószögyová, A., Smyčka, J., & Štorch, D. (2024) · Nature Communications · doi:10.1038/s41467-024-49070-x · Cited by 18 · see citing works
“3, Supplementary Table 2), the problem of representativeness is accounted by weighting and thus is not as serious.”
InfluentialAchieving a real‐time online monitoring system for conservation culturomics
Johnson, T. F., Cornford, R., Dove, S., Freeman, R., & Millard, J. W. (2023) · Conservation Biology · doi:10.1111/cobi.14096 · Cited by 17 · see citing works
“Although the Living Planet Index has undergone multiple improvements (Collen et al., 2009; McRae et al., 2017), it is still subject to criticism and suggestions for further improvement (Leung et al.”
BackgroundSelf-citationAssessing the global vulnerability of dryland birds to heatwaves
Ding, C., Newbold, T., & Ameca, E. I. (2024) · Global Change Biology · doi:10.1111/gcb.17136 · Cited by 17 · see citing works
Corroboration and contradictions in global biodiversity indicators
Stevenson, S., Watermeyer, K. E., Ferrier, S., Fulton, E. A., Xiao, H., & Nicholson, E. (2024) · Biological Conservation · doi:10.1016/j.biocon.2024.110451 · Cited by 17 · see citing works
An assessment of the state of nature in the United Kingdom: A review of findings, methods and impact
Burns, F., Eaton, M. A., Hayhow, D. B., Outhwaite, C. L., Al‐Fulaij, N., August, T., Boughey, K. L., BRERETON, T. M., Brown, A. F., Bullock, D. J., et al. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.06.033 · Cited by 18 · see citing works
Fenster, C. B., Ballou, J. D., Dudash, M. R., Eldridge, M. D. B., Frankham, R., Lacy, R. C., Ralls, K., & Sunnucks, P. (2018) · Europe PMC (PubMed Central) · Cited by 17 · see citing works
Clements, H. S., San, E. D. L., Hempson, G. P., Linden, B., Maritz, B., Monadjem, A., Reynolds, C., Siebert, F., Stevens, N., Biggs, R., et al. (2024) · Scientific Data · doi:10.1038/s41597-023-02832-6 · Cited by 17 · see citing works
- Authors
- McRae, L., Deinet, S., & Freeman, R.
- Affiliations
- Zoological Society of London (GB)
- Corresponding author
- McRae, Louise
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-01-03
- Volume
- 12
- Issue
- 1
- Pages
- e0169156
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5207715
- 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
- gold
- doi.org
- Licence
- 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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