The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions

Peng He*, Pierre Olivier Montiglio, Marius Somveille, Mauricio Cantor, Damien R. Farine

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

By shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.

Original languageEnglish
Pages (from-to)649-665
Number of pages17
JournalOecologia
Volume196
Issue number3
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions'. Together they form a unique fingerprint.

Cite this