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  1. 1
    Incorporating citizen science into IUCN Red List assessments

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  2. 2
    Differences in estimates of extinction risk between occupancy and abundance data

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  3. 3
    What factors influence the rediscovery of lost tetrapod species?
    par Lindken, Tim
    Publié dans: Global change biology (2024)

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  4. 4
    Genome size is positively correlated with extinction risk in herbaceous angiosperms
    par Soto Gomez, Marybel
    Publié dans: The New phytologist (2024)

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  5. 5
    Using comparative extinction risk analysis to prioritize the IUCN Red List reassessments of amphibians

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  6. 6
    Extinction risk of the world's freshwater mammals

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  7. 7
    Classification of direct threats to the conservation of ecosystems and species 4.0

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  8. 8
    Evidence-based guidelines for automated conservation assessments of plant species

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  9. 9
    Three in four undescribed plant species are threatened with extinction
    par Brown, Matilda J M
    Publié dans: The New phytologist (2023)

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  10. 10
    Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments

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  11. 11
    Prioritizing the reassessment of data-deficient species on the IUCN Red List

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  12. 12
    Understanding the drivers of expert opinion when classifying species as extinct

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  13. 13
    Translating habitat class to land cover to map area of habitat of terrestrial vertebrates

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  14. 14
    Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar

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  15. 15
    Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna

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  16. 16
    A strategy for the next decade to address data deficiency in neglected biodiversity

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  17. 17
    Automated conservation assessment of the orchid family with deep learning

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  18. 18
    When all life counts in conservation

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  19. 19
    Optimization of capture-recapture monitoring of elusive species illustrated with a threatened grasshopper

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  20. 20
    Least concern to endangered Applying climate change projections profoundly influences the extinction risk assessment for wild Arabica coffee
    par Moat, Justin
    Publié dans: Global change biology (2019)

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