Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 51 checked references that resolve
resolves10.1111/cobi.13454A framework for evaluating the impact of the IUCN Red List of threatened species
resolves10.1038/s41467-020-16410-6Global priorities for conservation of reptilian phylogenetic diversity in the face of human impacts
resolves10.1098/rstb.2014.0016Towards a general framework for predicting threat status of data-deficient species from phylogenetic, spatial and environmental information
resolves10.1111/jbi.14140Correlates of extinction risk in Australian squamate reptiles
resolves10.1098/rspb.2010.1877Unravelling the structure of species extinction risk for predictive conservation science
resolves10.1111/cobi.13616Automated conservation assessment of the orchid family with deep learning
resolves10.3389/fevo.2015.00087Ambiguity in guideline definitions introduces assessor bias and influences consistency in IUCN Red List status assessments
resolves10.1002/widm.1356Bias in data‐driven artificial intelligence systems—An introductory survey
resolves10.1186/s12862-020-01642-3Phylogenetic and spatial distribution of evolutionary diversification, isolation, and threat in turtles and crocodilians (non-avian archosauromorphs)
resolves10.1111/geb.13091Reptile responses to anthropogenic habitat modification: A global meta‐analysis
resolves10.1111/geb.12491Late Quaternary reptile extinctions: size matters, insularity dominates
resolves10.1111/conl.12876Undescribed species have higher extinction risk than known species
resolves10.1017/S0030605310000992Setting conservation priorities for the Moroccan herpetofauna: the utility of regional red lists
resolves10.1111/cobi.13777Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide
resolves10.1111/ddi.12218Amphibians over the edge: silent extinction risk of Data Deficient species
resolves10.1670/17-076Tracking Global Population Trends: Population Time-Series Data and a Living Planet Index for Reptiles
resolves10.1093/biosci/biy068Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions
resolves10.3389/fpls.2020.00520Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale
resolves10.1111/geb.12773Traits of lizards of the world: Variation around a successful evolutionary design
resolves10.1086/660272Comparative Methods as a Statistical Fix: The Dangers of Ignoring an Evolutionary Model
resolves10.1006/jcss.1997.1504A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
resolves10.18637/jss.v054.i02<b>adabag</b>: An<i>R</i>Package for Classification with Boosting and Bagging
The 19 references without a DOI — listed, not checked
no DOI — not checkedInternational Union for the Conservation of Nature. The IUCN Red List of Threatened Species. Version 2021–1. 2021. Available from: https://www.iucnredlist.org.
no DOI — not checkedpbio.3001544.ref005
no DOI — not checkedIUCN Petitions Subcommittee. Guidelines for using the IUCN red list categories and criteria, version 14. Prepared by the Standards and Petitions Subcommittee, Cambridge UK; 2019.
no DOI — not checkedBolam FC. Addressing uncertainty and limited data in conservation decision-making. PhD Thesis, Newcastle University; 2018.
no DOI — not checkedIntegrating Physiology, Phenology and Demography in Biogeographical Analysis.
no DOI — not checkedWhy IUCN should replace “data deficient” conservation status with a precautionary “assume threatened” status—a cetacean case study.
no DOI — not checkedOur path to better science in less time using open data science tools
no DOI — not checkedAddressing uncertainties in machine learning predictions of conservation status.
no DOI — not checkedData from: GARD 1.7—updated global distributions for all terrestrial reptiles.
no DOI — not checkedUetz P, Freed P, Hošek J. The Reptile Database. 2021. Available from: http://www.reptile-database.org/.
no DOI — not checkedR Core Team. R: A language and environment for statistical computing. Vienna, Austria; 2020. Available from: https://www.r-project.org/.
no DOI — not checkedPackage ‘adespatial
no DOI — not checkedPackage ‘spdep
no DOI — not checkedPackage ‘MPSEM
no DOI — not checkedrredlist:‘IUCN’Red List Client
no DOI — not checkedNielsen D. Tree boosting with xgboost-why does xgboost win" every" machine learning competition? Master’s Thesis, NTNU. 2016.
no DOI — not checkedPackage ‘xgboost.’
no DOI — not checkedClassification and regression by randomForest
no DOI — not checkedAutomated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny
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