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The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
by
Freeman, Robin
, Deinet, Stefanie
, McRae, Louise
in
Analysis
/ Animal taxonomy
/ Animals
/ Bias
/ Biodiversity
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Conservation of Natural Resources - methods
/ Databases, Factual
/ Earth Sciences
/ Earth, Planet
/ Ecology
/ Ecology and Environmental Sciences
/ Ecosystem
/ Ecosystems
/ Endangered & extinct species
/ Environmental management
/ Environmental research
/ Evolution
/ Extinction
/ Forecasts and trends
/ Fresh Water
/ Geography
/ Grey literature
/ Indicators
/ International Cooperation
/ Marine Biology
/ Planets
/ Population
/ Population decline
/ Populations
/ Remote sensing
/ Science
/ Species
/ Species diversity
/ Species Specificity
/ Taxonomy
/ Terrestrial environments
/ Time Factors
/ Time series
/ Trends
/ Vertebrates
/ Weighting
/ Zoology
2017
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The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
by
Freeman, Robin
, Deinet, Stefanie
, McRae, Louise
in
Analysis
/ Animal taxonomy
/ Animals
/ Bias
/ Biodiversity
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Conservation of Natural Resources - methods
/ Databases, Factual
/ Earth Sciences
/ Earth, Planet
/ Ecology
/ Ecology and Environmental Sciences
/ Ecosystem
/ Ecosystems
/ Endangered & extinct species
/ Environmental management
/ Environmental research
/ Evolution
/ Extinction
/ Forecasts and trends
/ Fresh Water
/ Geography
/ Grey literature
/ Indicators
/ International Cooperation
/ Marine Biology
/ Planets
/ Population
/ Population decline
/ Populations
/ Remote sensing
/ Science
/ Species
/ Species diversity
/ Species Specificity
/ Taxonomy
/ Terrestrial environments
/ Time Factors
/ Time series
/ Trends
/ Vertebrates
/ Weighting
/ Zoology
2017
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The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
by
Freeman, Robin
, Deinet, Stefanie
, McRae, Louise
in
Analysis
/ Animal taxonomy
/ Animals
/ Bias
/ Biodiversity
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Conservation of Natural Resources - methods
/ Databases, Factual
/ Earth Sciences
/ Earth, Planet
/ Ecology
/ Ecology and Environmental Sciences
/ Ecosystem
/ Ecosystems
/ Endangered & extinct species
/ Environmental management
/ Environmental research
/ Evolution
/ Extinction
/ Forecasts and trends
/ Fresh Water
/ Geography
/ Grey literature
/ Indicators
/ International Cooperation
/ Marine Biology
/ Planets
/ Population
/ Population decline
/ Populations
/ Remote sensing
/ Science
/ Species
/ Species diversity
/ Species Specificity
/ Taxonomy
/ Terrestrial environments
/ Time Factors
/ Time series
/ Trends
/ Vertebrates
/ Weighting
/ Zoology
2017
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The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
Journal Article
The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator
2017
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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