Dynamic models for longitudinal butterfly data

There has been recent interest in devising stochastic models for seasonal insects, which

indices of abundance, which guide conservation and management. We build upon Dennis et

data from all years simultaneously. They produce estimates of key life-history parameters

Analyses for univoltine species, with only one generation each year, extend to bivoltine

generation separately, and also devise extended indices which indicate the contributions

We demonstrate the performance of the models using count data for UK butterfly species,

orate relevant covariates within the model, and illustrate using northing and measures of

variety of hypotheses for further investigation, which have the potential to illuminate features

of butterfly phenology and demography which are at present poorly understood.