Aldo Compagnoni

Oct 29, 2024 | onlinelibrary.wiley.com | Aldo Compagnoni |Dylan Childs |Roberto Salguero-Gómez

1 Introduction Understanding and predicting population dynamics is a key objective of Ecology (Sutherland et al. 2013). In population ecology, the last decades have witnessed the development and application of many statistical methods aimed precisely at this objective (Caswell 2001; Ellner, Childs, and Rees 2016).

Sep 27, 2024 | biorxiv.org | Jacob Moutouama |Aldo Compagnoni |Tom Miller

AbstractGlobal warming has triggered an urgent need for predicting the reorganization of Earth's biodiversity. Currently, the vast majority of models used to forecast population viability and range shifts in response to climate change ignore the complication of sex structure, and thus the potential for females and males to differ in their sensitivity to climate drivers.

Aug 4, 2024 | biorxiv.org | Aldo Compagnoni |Dylan Childs |Roberto Salguero-Gómez

AbstractUnderstanding mechanisms and predicting natural population responses to climate is a key goal of Ecology. However, studies explicitly linking climate to population dynamics remain limited. Antecedent effect models are a set of statistical tools that capitalize on the evidence provided by climate and population data to select time windows correlated with a response (e.g., survival, reproduction). Thus, these models can serve as both a predictive and exploratory tool.