Maintaining the resilience of natural populations, their ability to resist and recover from
disturbance, is crucial to prevent biodiversity loss. However, the lack of appropriate data and …

MARSS is a package for fitting multivariate autoregressive state-space models to time-series
data. The MARSS package implements state-space models in a maximum likelihood …

Population ecology has matured to a sophisticated science with astonishing potential for
contributing solutions to wildlife conservation and management challenges. And yet, much …

As important marine mesopredators and sensitive indicators of Antarctic ecosystem change,
penguins have been a major focus of long‐term biological research in the Antarctic …

Global biodiversity assessments have highlighted land-use change as a key driver of
biodiversity change. However, there is little empirical evidence of how habitat …

Detecting population declines is a critical task for conservation biology. Logistical difficulties
and the spatiotemporal variability of populations make estimation of population declines …

State-space models (SSMs) are increasingly used in ecology to model time-series such as
animal movement paths and population dynamics. This type of hierarchical model is often …

Land-use and climate change have been linked to changes in wildlife populations, but the
role of socioeconomic factors in driving declines, and promoting population recoveries …

The log-normal distribution, often used to model animal abundance and its uncertainty, is
central to ecological modeling and conservation but its statistical properties are less intuitive …

Despite widespread recognition of the need for long‐term monitoring of pollinator
abundances and pollination service provision, such studies are exceedingly rare. In this …