Researchers in ecology and evolutionary biology are increasingly dependent on
computational code to conduct research. Hence, the use of efficient methods to share …

Most forecasts for the future state of ecological systems are conducted once and never
updated or assessed. As a result, many available ecological forecasts are not based on the …

Over the past decade, biology has undergone a data revolution in how researchers collect
data and the amount of data being collected. An emerging challenge that has received …

Modelling abundance fluctuations of species is a crucial first step for understanding and
forecasting system dynamics under future conditions. But, especially in multivariate …

Understanding the ecological processes that maintain community function in systems
experiencing species loss, and how these processes change over time, is key to …

Ecological forecasting models play an increasingly important role for managing natural
resources and assessing our fundamental knowledge of processes driving ecological …

Across landscapes, shifts in species composition often co‐occur with shifts in structural or
abiotic habitat features, making it difficult to disentangle the role of competitors and …

Human activities alter processes that control local biodiversity, causing changes in the
abundance and identity of species in ecosystems. However, restoring biodiversity to a …

Data management and publication are core components of the research process. An
emerging challenge that has received limited attention in biology is managing, working with …

Data sharing, the practice of making data widely available for use by others, benefits the
ecological research community in ensuring study reproducibility and enabling many data …