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Abstract
Addressing Uncertainties in Machine Learning Predictions of Conservation Status.
Extinction risk assessments are increasingly important to many stakeholders (Bennun et al. 2017) but there remain large gaps in our knowledge about the status of many species. The IUCN Red List of Threatened Species (IUCN 2019, hereafter Red List) is the most comprehensive assessment of extinction risk. However, it includes...Walker, Barnaby ; Leão, Tarciso ; Bachman, Steven ; Lucas, Eve ; Nic Lughadha, Eimear
Conservation assessment, Machine learning, Natural history collections, Uncertainty, and IUCN Red List
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Journal article
Prioritising species for monitoring in a South African protected area and the Red List for plants.
Protected areas (PA) in biodiversity hotspots face the challenge of monitoring large numbers of locally rare and threatened plant species at times with limited budgets. Prioritising species according to their local extinction risk could help PA managers to decide which species to monitor. However, there is often very little information...Cowell, Carly R. ; Nic Lughadha, Eimear ; Anderson, Pippin M. L. ; Leão, Tarciso ; Williams, Jenny …
IUCN Red List, South Africa, National Park, Fynbos, Protected area, and Biodiversity
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Journal article
Piloting development of species conservation action plans in Guinea.
Conservation action plans need to be devised and implemented if we are to reduce the extinction risk faced by globally threatened plants. However, most plant species categorized as threatened globally on the IUCN Red List lack conservation action plans. In West Africa, Guinea is one of the most diverse countries... -
Journal article
Evidence-based guidelines for developing automated conservation assessment methods [PREPRINT].
Assessing species’ extinction risk is vital to setting conservation priorities. However, assessment endeavours like the IUCN Red List of Threatened Species have significant gaps in coverage of some taxonomic groups. Automated assessment (AA) methods are gaining popularity to fill these gaps, leveraging improvements in computing and digitally-available information. Choices made...Walker, Barnaby E. ; Leão, Tarciso C.C. ; Bachman, Steven P. ; Lucas, Eve ; Nic Lughadha, Eimear
Biodiversity conservation, Automation, Machine learning, IUCN Red List, and Conservation assessments
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Journal article
Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale
The recent Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) report highlighted the large scale of extinction risks to biodiversity (Díaz et al., 2019). Assessing species' extinction risk is vital for setting conservation priorities and the first step toward protecting particular areas or groups. A widely accepted approach to... -
Journal article
Progress, challenges and opportunities for Red Listing
Despite its recognition as an important global resource for conservation, the International Union for Conservation of Nature's (IUCN) Red List of Threatened Species only provides assessments of extinction risk for a small and biased subset of known biodiversity. A more complete Red List can better support species-level conservation by indicating...Bachman, Steven ; Field, Richard ; Reader, Tom ; Raimondo, Domitilla ; Donaldson, John …
Conservation, IUCN Red List, Vascular plants, and Extinction risk