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Using publicly available data to conduct rapid assessments of extinction risk

https://doi.org/10.1111/csp2.12628
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ppp3.10146openalex-snapshot
Extinction risk and threats to plants and fungi
inferredcites →https://doi.org/10.1007/s10531-019-01697-9openalex-snapshot
Using IUCN criteria to perform rapid assessments of at-risk taxa
inferredcites →https://doi.org/10.1016/j.biocon.2013.06.010openalex-snapshot
Unraveling the conservation status of Data Deficient species
inferredcites →https://doi.org/10.1016/j.biocon.2019.03.002openalex-snapshot
Progress, challenges and opportunities for Red Listing
inferredcites →https://doi.org/10.1016/j.ecoinf.2013.11.002openalex-snapshot
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions
inferredcites →https://doi.org/10.1016/j.gecco.2017.01.008openalex-snapshot
Changing trends and persisting biases in three decades of conservation science
inferredcites →https://doi.org/10.1038/s41559-019-0906-2openalex-snapshot
Global dataset shows geography and life form predict modern plant extinction and rediscovery
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/10.1111/1365-2664.12459openalex-snapshot
Cost‐effective assessment of extinction risk with limited information
inferredcites →https://doi.org/10.1111/2041-210x.13152openalex-snapshot
CoordinateCleaner : Standardized cleaning of occurrence records from biological collection databases
inferredcites →https://doi.org/10.1111/cobi.13616openalex-snapshot
Automated conservation assessment of the orchid family with deep learning
inferredcites →https://doi.org/10.1111/conl.12040openalex-snapshot
Update or Outdate: Long‐Term Viability of the IUCN Red List
inferredcites →https://doi.org/10.1111/ddi.12418openalex-snapshot
Threatened or Data Deficient: assessing the conservation status of poorly known 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.1095-8339.2006.00584.xopenalex-snapshot
An annotated taxonomic conspectus of the genus Coffea (Rubiaceae)
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/10.1201/9780429029608openalex-snapshot
Statistical Rethinking
inferredcites →https://doi.org/10.1214/ss/1177011136openalex-snapshot
Inference from Iterative Simulation Using Multiple Sequences
inferredcites →https://doi.org/10.1600/0363644054782116openalex-snapshot
Sleumeria (Icacinaceae): A New Genus from Northern Borneo
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.2307/25065491openalex-snapshot
IUCN Red List assessment and the Global Strategy for Plant Conservation: taxonomists must act now
inferredcites →https://doi.org/10.3354/esr00135openalex-snapshot
Applications of the IUCN Red List: towards a global barometer for plant diversity
inferredcites →https://doi.org/10.3417/2011121openalex-snapshot
Toward Target 2 of the Global Strategy for Plant Conservation: An Expert Analysis of the Puerto Rican Flora to Validate New Streamlined Methods for Assessing Conservation Status1
inferredcites →https://doi.org/10.34885/172openalex-snapshot
State of the World's Plants and Fungi 2020
inferredcites →https://doi.org/10.3897/bdj.8.e47018openalex-snapshot
Rapid Least Concern: towards automating Red List assessments
inferredcites →https://doi.org/10.7287/peerj.preprints.3304openalex-snapshot
R Python, and Ruby clients for GBIF species occurrence data
inferredcites →https://doi.org/10.7287/peerj.preprints.3304v1openalex-snapshot
R Python, and Ruby clients for GBIF species occurrence data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← backgroundhttps://doi.org/10.5281/zenodo.5781324zenodo-depositor-declared
inferred← citeshttps://doi.org/10.1002/inc3.70076openalex-snapshot
Trait‐Based Prediction of Extinction Risk and Conservation Strategy for Traditional Chinese Medicinal Plants in China
inferred← citeshttps://doi.org/10.1016/j.biocon.2025.111183openalex-snapshot
Rapid assessments accurately identify threatened Australian flora under IUCN Red List Criteria after megafires
inferred← citeshttps://doi.org/10.1016/j.ecolind.2022.109630openalex-snapshot
Using System Dynamics Modelling to visualize the effects of resource management and policy interventions on biodiversity at a regional scale
inferred← citeshttps://doi.org/10.1016/j.jnc.2022.126272openalex-snapshot
Performance of an automated conservation status assessment for the megadiverse vascular flora of Brazil
inferred← citeshttps://doi.org/10.1016/j.tree.2024.11.007openalex-snapshot
The ecology of plant extinctions
inferred← citeshttps://doi.org/10.1071/pc23005openalex-snapshot
Evaluating extinction risk in Tasmania’s vascular flora using rapid IUCN Red List assessments
inferred← citeshttps://doi.org/10.1111/ecog.07006openalex-snapshot
Shallow coverage in shallow waters: the incompleteness of intertidal species inventories in biodiversity database records
inferred← citeshttps://doi.org/10.70675/fc734692z3098z402ez9cb5za4e234160edbopenalex-snapshot
A predictive approach to determining the joint conservation status of species
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