PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 16, 2026Trends in Ecology & Evolution3 citationsOpen Access

Resource variability shapes the ecology of social information and collective sensing

View Full Paper
WOWilliam K. OestreichJKJenna E. KohlesBABriana Abrahms

Key Points

  • The study aims to understand how resource variability influences the evolution of social strategies in ecosystems.
  • Analyzed empirical examples across various taxa and ecological scales.
  • Formulated testable predictions based on the dual value of social information under different resource conditions.
  • Explored the impact of variance-induced survival risks on social signaling.
  • Resource variability significantly amplifies the value of social information for individuals.
  • High variability in resources increases reliance on collective sensing strategies.
  • Survival risks associated with resource patchiness enhance the effectiveness of social signals.

Abstract

Social information expands individual sensing of resources in dynamic ecosystems, yet why social strategies evolve in resource pursuit remains unsettled. We posit that resource variability along three axes mediates the emergence of collective sensing by altering the value of social information for maximizing individual resource gain and minimizing its variance. Drawing from empirical examples across taxa and scales, we offer testable predictions under the hypothesis that resource variability shapes this dual value of social information. Variance-induced risks to survival represent an underappreciated factor amplifying the value of social signals and cues, especially when resources are patchy, ephemeral, and abundant. This perspective bridges classical ecological models and burgeoning interest in collective behavior, providing the 'why' underlying the 'how' of sensory collectives.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Oestreich et al. (2026) studied this question.

synapsesocial.com/papers/69b79da78166e15b153aadadhttps://doi.org/10.1016/j.tree.2026.01.010
Ask AI
Helpful
Bookmark
Share
View Full Paper