Biology subjects

Hochkirch, A.

Publications and source records attributed to Hochkirch, A..

3 recordsLinked to original sources

bioRxiv2026

Winners and Losers Among European Arthropods over the Last Half Century of Global Change

Widespread concern over arthropod declines has raised questions about how global change is reshaping biodiversity, yet large-scale responses within the group remain poorly understood. Here, we analyse 50 years (1970-2019) of European arthropod occurrence data to quantify distributional changes across more than 700 species within 11 taxonomic groups. Using occupancy-detection models that account for imperfect detection, we compare time-only and environmentally mediated trends, including changes to temperature, precipitation, and agricultural and urban land cover. We find no universal signal of decline; responses are highly heterogeneous, revealing distinct winners and losers both within and among groups. Climate variables, particularly temperature and precipitation, are the strongest predictors of change, while agricultural intensification is broadly negative and urbanisation produces group-specific effects. Trait analyses indicate that warm- and dry-affiliated species and larger-bodied arthropods generally fare better. These results show that recent European arthropod change is dominated by redistribution rather than uniform collapse, with important implications for conservation and monitoring under ongoing global change.

ecology↗

bioRxiv2022

Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities

A major limitation of current reports on insect declines is the lack of standardized, long-term, and taxonomically broad time series. Here, we demonstrate the utility of environmental DNA from archived leaf material to characterize plant-associated arthropod communities. We base our work on several multi-decadal leaf time series from tree canopies in four land use types, which were sampled as part of a long-term environmental monitoring program across Germany. Using these highly standardized and well-preserved samples, we analyze temporal changes in communities of several thousand arthropod species belonging to 23 orders using metabarcoding and quantitative PCR. Our data do not support widespread declines of -diversity or genetic variation within sites. Instead, we find a gradual community turnover, which results in temporal and spatial biotic homogenization, across all land use types and all arthropod orders. Our results suggest that insect decline is more complex than mere -diversity loss, but can be driven by {beta}-diversity decay across space and time.

ecology↗

bioRxiv2020

Species traits predict extinction risk across the Tree of Life

SummaryBiodiversity is eroding at unprecedented rates due to human activity1. Species’ trajectories towards extinction are shaped by multiple factors, including life-history traits2 as well as human pressures3. Previous studies linking these factors to extinction risk have been narrow in their taxonomic and geographic scope4, thus limiting the ability for identifying global predictors. We studied the relation between 12 traits and the extinction risk of almost 900 species representing 15 groups across the tree of life (vertebrates, invertebrates and plants) at a global scale. We show that threatened species share narrow habitat breadth, poor dispersal ability, low fecundity, small altitudinal range, and are affected by a large human footprint. Other traits either show contrasting responses among groups (body size, offspring size, and change in human footprint), or relations were found for only a limited number of taxa (generation length, diet breadth, microhabitat). Our study suggests that in the absence of data on the precise distribution and population trends of species, traits can be used as predictors of extinction risk and thus help guide future research, monitoring and conservation efforts.Competing Interest StatementThe authors have declared no competing interest.View Full Text

ecology↗