S. Ciuti

Predicting forest damage using relative abundance of multiple deer species and national forest inventory data.

This study predicts forest damage by analyzing deer species abundance and forest inventory data to identify risk scenarios and ecological drivers of damage.

Does fear of humans predict anti-predator strategies in an ungulate hider species during fawning?

The study examines if fallow deer mothers with reduced fear of humans select less concealed fawning sites, but finds they instead choose more concealed sites for better offspring protection.

Fawn bedsite selection by a large ungulate living in a peri-urban area

This study examines how female fallow deer select birthing sites in response to human and dog presence in an urban park, finding they avoid high-traffic areas and prefer dense vegetation.

First Eurasian cases of SARS-CoV-2 seropositivity in a free-ranging urban population of wild fallow deer

The paper reports the first cases of SARS-CoV-2 seropositivity in Eurasian fallow deer, showing increased seroprevalence with emerging variants.

Curbing zoonotic disease spread in multi-host-species systems will require integrating novel data streams and analytical approaches: evidence from a scoping review of bovine tuberculosis

This paper reviews bTB research in multi-host systems, identifying gaps in studying human impacts, weather effects, and multi-host dynamics, and suggests integrating data and models for better control.

Sex differences in the relationship between maternal and foetal glucocorticoids in a free-ranging large mammal

The paper examines sex differences in the relationship between maternal and fetal glucocorticoids in fallow deer, finding a positive association only in female offspring.

Assessing bias and robustness of social network metrics using GPS based radio-telemetry data

This study evaluates the bias and robustness of social network metrics using GPS telemetry data from five ungulate species, showing that global metrics are robust while local metrics are unreliable with low sampling.

Bayesian areal disaggregation regression to predict wildlife distribution and relative density with low-resolution data

This paper applies Bayesian areal disaggregation regression to convert low-resolution wildlife count data into high-resolution distribution models, showing accurate predictions for deer species in Ireland.

Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance.

This paper applies Bayesian Integrated Species Distribution Models to empirical data to predict deer distribution and abundance using presence-absence and presence-only data in Ireland.

Neonate personality affects early-life resource acquisition in a large social mammal

The paper examines how neonate personality traits in fallow deer influence resource acquisition strategies during early life, finding a trade-off between scanning and foraging time that develops over time.