Biology subjects

Bachman, S. P.

Publications and source records attributed to Bachman, S. P..

3 recordsLinked to original sources

bioRxiv2025

300 billion years of angiosperm evolution at risk of extinction

Extinction results in not only loss of species, but also loss of the unique evolutionary history that they represent and the irreplaceable features they exhibit. There is broad consensus regarding the necessity to optimise the preservation of the tree of life by including evolutionary information in conservation prioritisation, a notion also endorsed by major policy frameworks1-4. However, evolutionarily-informed prioritisations are lacking for most plants, resulting in a taxonomic imbalance in the evolutionary information incorporated in global biodiversity analyses, which has undermined conservation for decades. Here, we use comprehensive species-level phylogenetic trees, and extinction risk estimates, to generate the first global assessment of angiosperm evolutionary history at risk, and to identify phylogenetically-informed conservation priorities for the worlds flowering plants. We estimate that more than one fifth of angiosperm evolutionary history is at risk of extinction in the short term. Using the Evolutionarily Distinct and Globally Endangered5,6 approach, we identify 9,945 threatened plant species that disproportionately account for total evolutionary history at risk. Species and area prioritisations incorporating evolutionary history are urgently needed to correct imbalances between plants and animals, monitor the effectiveness of conservation efforts, and optimise conservation resource allocation in the face of increasing human pressures on Earths biodiversity.

evolutionary biology↗

bioRxiv2024

Identifying conservation priorities of a pantropical plant lineage: a case study in Scleria (Cyperaceae)

Scleria is a pantropical genus of annual and perennial herbs and the sixth largest genus in the Cyperaceae family with around 261 species. In this study, we produced preliminary extinction risk assessments for the [~]30% of Scleria species that do not yet have a global Red List assessment and followed the Evolutionarily Distinct and Globally Endangered (EDGE2) and Ecologically Distinct and Globally Endangered (EoDGE) protocols to identify evolutionary and ecologically unique Scleria species at greatest risk of extinction and hotspots of rare and endangered species. Our results indicate that 38 of the 78 Scleria species not yet included in the Red List, and 26% of species in the genus, are potentially threatened with extinction. The risk of extinction is not equally distributed across the phylogeny, and the Afrotropics and the Neotropics accumulate most threatened species. Eleven ecoregions mostly from four African (Madagascar, D.R. Congo, Zambia and Tanzania) and two South American (Brazil, Venezuela) countries accumulate almost half of Scleria species and stand out in terms of their sum of EDGE2 scores. Phylogenetic and functional distinctiveness metrics were largely uncorrelated, and the EcoDGE metric mostly points towards South American countries as reservoirs of ecologically distinctive and endangered species: Brazil, Venezuela, Bolivia, Peru, Colombia, Guyana and Dominican Republic. Recent methodological advances in the identification of species at-risk of extinction and the novel EDGE2 framework emerge as powerful tools to identify conservation priorities.

ecology↗

bioRxiv2023

Extinction risk predictions for the world's flowering plants to support their conservation

O_LIMore than 70% of all vascular plants lack conservation status assessments. We aimed to address this shortfall in knowledge of species extinction risk by using the World Checklist of Vascular Plants to generate the first comprehensive set of predictions for a large clade: angiosperms (flowering plants, [~]330,000 species). C_LIO_LIWe used Bayesian Additive Regression Trees (BART) to predict the extinction risk of all angiosperms using predictors relating to range size, human footprint, climate, and evolutionary history and applied a novel approach to estimate uncertainty of individual species level predictions. C_LIO_LIFrom our model predictions we estimate 45.1% of angiosperm species are potentially threatened with a lower bound of 44.5% and upper bound of 45.7%. C_LIO_LIOur species-level predictions, with associated uncertainty estimates, do not replace full Red List assessments, but can be used to prioritise predicted threatened species for full Red List assessment and fast-track predicted non-threatened species for Least Concern assessments. Our predictions and uncertainty estimates can also guide fieldwork, inform systematic conservation planning and support global plant conservation efforts and targets. C_LI

ecology↗