A. Zizka

The evolutionary age-range size relationship is modulated by insularity and dispersal in plants and animals

The paper examines the relationship between evolutionary age and range size in species, finding that age correlates with larger ranges but this effect is modulated by insularity and dispersal ability.

Automated assessments can support regional Red Lists but need to be applied with caution: A case study from central Germany

This study tests automated methods for estimating extinction risk and population trends for plant species, finding moderate agreement with expert assessments but highlighting limitations for rare and complex species.

Modelling the probability of meeting IUCN Red List criteria to support reassessments.

This paper develops models to predict the probability of species meeting specific IUCN Red List criteria, improving extinction risk assessments by identifying key predictors for each criterion.

Spiny but photogenic: amateur sightings complement herbarium specimens to reveal the bioregions of cacti

This paper uses herbarium specimens and citizen science observations to define cactus bioregions, finding that human observations significantly enhance data in areas with collection biases.

Towards understanding diversity, endemicity and global change vulnerability of soil fungi

The paper identifies unknown soil fungi using PacBio sequencing and evaluates standardization methods to analyze global diversity, endemicity, and vulnerability patterns.

Plant longevity, drought and island isolation favoured rampant evolutionary transitions towards insular woodiness

The paper identifies 1,097 insular woody species and infers 175 evolutionary transitions, finding that aseasonal climate, drought, and island isolation drive insular woodiness.

IUCNN - deep learning approaches to approximate species' extinction risk

IUCNN uses deep learning to predict species' extinction risk from occurrence data, outperforming existing methods on orchid datasets.

Automated conservation assessment of the orchid family using deep learning

This study uses a deep learning model to automate conservation assessments for 13,910 orchid species, identifying 31.2% as Possibly Threatened and highlighting priority conservation areas.

Multiple origins of insular woodiness on the Canary Islands are consistent with palaeoclimatic aridification

The paper estimates the timing of woodiness origin in Canary Island plant lineages and links it to historical aridification events.

The Leipzig Catalogue of Vascular Plants (LCVP) - An improved taxonomic reference list for all known vascular plants

The paper improves the taxonomic reference list for vascular plants by resolving taxonomic status for 184,000 names and providing an updated resource with an R-package for integration into data pipelines.

No one-size-fits-all solution to clean GBIF

The paper evaluates the impact of 13 automatic filters on biodiversity analyses using GBIF data for 18 Neotropical taxa, finding significant variation in problematic records across taxonomic groups.

Unravelling the phylogenomic relationships of the most diverse African palm genus Raphia (Calamoideae, Arecaceae)

This study uses phylogenomic analysis to clarify the relationships within the African palm genus Raphia, finding five clades and supporting morphological classification while highlighting unresolved species boundaries.

Exploring the impact of political regimes on biodiversity

The paper quantifies how different political regimes affect biodiversity management by linking democracy levels to natural history specimen registrations.

sampbias, a method for quantifying geographic sampling biases in species distribution data

The paper introduces sampbias, a method to quantify geographic sampling biases in species occurrence data using a Bayesian approach, demonstrating its application on mammal data from Borneo.

Evolutionary history of New World monkeys revealed by molecular and fossil data

This study integrates fossil and molecular data to estimate the evolutionary history of New World monkeys, revealing earlier origins and key morphological and geographic changes.