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Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1038/nature23285openalex-snapshot
Global forest loss disproportionately erodes biodiversity in intact landscapes
inferredcites →https://doi.org/10.1038/s41467-018-07049-5openalex-snapshot
Changes in human footprint drive changes in species extinction risk
inferredcites →https://doi.org/10.1038/s42256-019-0022-7openalex-snapshot
Responsible AI for conservation
inferredcites →https://doi.org/10.1073/pnas.1804098115openalex-snapshot
Predicting plant conservation priorities on a global scale
inferredcites →https://doi.org/10.1098/rstb.2017.0402openalex-snapshot
The use and misuse of herbarium specimens in evaluating plant extinction risks
inferredcites →https://doi.org/10.1111/cobi.12286openalex-snapshot
Predicting Extinction Risk of Brazilian Atlantic Forest Angiosperms
inferredcites →https://doi.org/10.1111/cobi.12372openalex-snapshot
Predicting the conservation status of data‐deficient species
inferredcites →https://doi.org/10.1111/ddi.12532openalex-snapshot
Using coarse‐scale species distribution data to predict extinction risk in plants
inferredcites →https://doi.org/10.1111/ele.12624openalex-snapshot
Multidimensional biases, gaps and uncertainties in global plant occurrence information
inferredcites →https://doi.org/10.1111/j.1523-1739.2008.01064.xopenalex-snapshot
Inferring National and Regional Declines of Rare Orchid Species with Probabilistic Models
inferredcites →https://doi.org/10.1126/sciadv.aax9444openalex-snapshot
A third of the tropical African flora is potentially threatened with extinction
inferredcites →https://doi.org/10.1126/sciadv.aaz0414openalex-snapshot
The commonness of rarity: Global and future distribution of rarity across land plants
inferredcites →https://doi.org/10.1371/journal.pbio.1001891openalex-snapshot
Targeting Global Protected Area Expansion for Imperiled Biodiversity
inferredcites →https://doi.org/10.5281/zenodo.3826698openalex-snapshot
Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ppp3.10425zenodo-depositor-declared
Small and in‐country herbaria are vital for accurate plant threat assessments: A case study from Peru
inferred← citeshttps://doi.org/10.1002/ece3.70229openalex-snapshot
Effectiveness of South Africa's network of protected areas: Unassessed vascular plants predicted to be threatened using deep neural networks are all located in protected areas
inferred← citeshttps://doi.org/10.1002/ppp3.10146openalex-snapshot
Extinction risk and threats to plants and fungi
inferred← citeshttps://doi.org/10.1002/ppp3.10355openalex-snapshot
Plant conservation assessment at scale: Rapid triage of extinction risks
inferred← citeshttps://doi.org/10.1007/s12225-021-09987-8openalex-snapshot
Four new threatened species of Rinorea (Violaceae), treelets from the forests of Cameroon
inferred← citeshttps://doi.org/10.1007/s44274-026-00873-3openalex-snapshot
Floristic diversity, traditional plant use and grassroots innovations supporting biodiversity conservation and sustainable livelihoods in North East India
inferred← citeshttps://doi.org/10.1016/j.baae.2024.11.002openalex-snapshot
The global conservation status of plants growing on cliffs and rocky outcrops
inferred← citeshttps://doi.org/10.1016/j.biocon.2021.109261openalex-snapshot
Proportional sampling strategy often captures more genetic diversity when population sizes vary
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102627openalex-snapshot
Mapping global orchid assemblages with deep learning provides novel conservation insights
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103476openalex-snapshot
Estimating national Red List statuses for fungi in Sweden - An improved deep learning approach to account for unbalanced data
inferred← citeshttps://doi.org/10.1016/j.tree.2021.12.002openalex-snapshot
Bridging the research-implementation gap in IUCN Red List assessments
inferred← citeshttps://doi.org/10.1017/s0030605322000138openalex-snapshot
Piloting development of species conservation action plans in Guinea
inferred← citeshttps://doi.org/10.1038/s41559-022-01858-0openalex-snapshot
The likely extinction of hundreds of palm species threatens their contributions to people and ecosystems
inferred← citeshttps://doi.org/10.1101/2022.01.19.477028openalex-snapshot
Automated assessment reveals extinction risk of reptiles is widely underestimated across space and phylogeny
inferred← citeshttps://doi.org/10.1101/2023.06.21.545976openalex-snapshot
Scalable phylogenetic Gaussian process models improve the detectability of environmental signals on extinction risks for many Red List species
inferred← citeshttps://doi.org/10.1111/2041-210x.14291openalex-snapshot
Scalable phylogenetic Gaussian process models improve the detectability of environmental signals on local extinctions for many Red List species
inferred← citeshttps://doi.org/10.1111/cobi.13616openalex-snapshot
Automated conservation assessment of the orchid family with deep learning
inferred← citeshttps://doi.org/10.1111/cobi.13992openalex-snapshot
Evidence‐based guidelines for automated conservation assessments of plant species
inferred← citeshttps://doi.org/10.1111/csp2.13265openalex-snapshot
Are local species prioritization lists sufficient for protecting endangered plants? Israeli red list as a test case
inferred← citeshttps://doi.org/10.1111/ddi.13450openalex-snapshot
IUCNN – Deep learning approaches to approximate species' extinction risk
inferred← citeshttps://doi.org/10.1111/ddi.13969openalex-snapshot
Global Conservation Prioritisation Approach Provides Credible Results at a Regional Scale
inferred← citeshttps://doi.org/10.1111/nph.19295openalex-snapshot
Re‐evaluating the importance of threatened species in maintaining global phytoregions
inferred← citeshttps://doi.org/10.1111/nph.19592openalex-snapshot
Extinction risk predictions for the world's flowering plants to support their conservation
inferred← citeshttps://doi.org/10.1371/journal.pbio.3001544openalex-snapshot
Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny
inferred← citeshttps://doi.org/10.3389/fpls.2022.839792openalex-snapshot
Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/d12080301openalex-snapshot
Diversity of Tree Species in Gap Regeneration under Tropical Moist Semi-Deciduous Forest: An Example from Bia Tano Forest Reserve
inferred← citeshttps://doi.org/10.3390/d14090704openalex-snapshot
Tools and Metrics for Species Prioritization for Conservation Planning and Action: Case Studies for Antelopes and Small Mammals
inferred← citeshttps://doi.org/10.70675/fc734692z3098z402ez9cb5za4e234160edbopenalex-snapshot
A predictive approach to determining the joint conservation status of species
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