ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018
The use and misuse of herbarium specimens in evaluating plant extinction risks.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- The Herbarium of Paolo Boccone from the Years 1689-1695 Kept in Wrocław (Poland): Plant Nomenclature, Taxonomy and Biogeography.Plants (Basel, Switzerland) · 2026Article
- Harnessing the benefits of herbarium specimen digitisation for inferring recent and ongoing plant extinctions.The New phytologist · 2026Review
- Geographic range size and rarity of epiphytic flowering plants.Nature plants · 2025Article
- Retrieval of long DNA reads from herbarium specimens.AoB PLANTS · 2023Review
- Botanical Collection Patterns and Conservation Categories of the Most Traded Timber Species from the Ecuadorian Amazon: The Role of Protected Areas.Plants (Basel, Switzerland) · 2023Article
- Evidence-based guidelines for automated conservation assessments of plant species.Conservation biology : the journal of the Society for Conservation Biology · 2023Article
- Implications for conservation assessment from flux in the botanical record over 20 years in southwest Ghana.Ecology and evolution · 2023Article
- The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi).PhytoKeys · 2022Article
- Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence.Frontiers in plant science · 2022Article
- Systematics of thePhytoKeys · 2022Article
- Extinction Risk Assessment of the Greek Endemic Flora.Biology · 2021Article
- Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning.Frontiers in plant science · 2021Article
- Small herbaria contribute unique biogeographic records to county, locality, and temporal scales.American journal of botany · 2020Article
- Article
- Rapid Least Concern: towards automating Red List assessments.Biodiversity data journal · 2020Article
- No one-size-fits-all solution to clean GBIF.PeerJ · 2020Article
- Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale.Frontiers in plant science · 2020Article
- A third of the tropical African flora is potentially threatened with extinction.Science advances · 2019Article
- Biological collections for understanding biodiversity in the Anthropocene.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- mvh: An R tool to assemble and organize virtual herbaria from openly available specimen images.Applications in plant sciencesArticle
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Herbarium specimens provide verifiable and citable evidence of the occurrence of particular plants at particular points in space and time, and are vital resources for assessing extinction risk in the tropics, where plant diversity and threats to plants are greatest. We reviewed approaches to assessing extinction risk in response to the Convention on Biological Diversity's Global Strategy for Plant Conservation Target 2: an assessment of the conservation status of all known plant species by 2020. We tested five alternative approaches, using herbarium-derived data for trees, shrubs and herbs in five different plant groups from temperate and tropical regions. All species were previously fully assessed for the IUCN Red List. We found significant variation in the accuracy with which different approaches classified species as threatened or not threatened. Accuracy was highest for the machine learning model (90%) but the least data-intensive approach also performed well (82%). Despite concerns about spatial, temporal and taxonomic biases and uncertainties in herbarium data, when specimens represent the best available evidence for particular species, their use as a basis for extinction risk assessment is appropriate, necessary and urgent. Resourcing herbaria to maintain, increase and disseminate their specimen data is essential to guide and focus conservation action.This article is part of the theme issue 'Biological collections for understanding biodiversity in the Anthropocene'.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.