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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

The Rules of Attraction: The Necessary Role of Animal Cognition in Explaining Conservation Failures and Successes

Annual Review of Ecology Evolution and Systematics 2020 49 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Oded Berger‐Tal, Alison L. Greggor Oded Berger‐Tal, Daniel T. Blumstein, Daniel T. Blumstein, Alison L. Greggor

Summary

This review examines how animal cognition and decision-making should be integrated into wildlife conservation strategies, arguing that understanding why animals approach or avoid certain stimuli can explain conservation failures and successes. This animal behavior and conservation paper is not directly related to microplastic research.

Integrating knowledge and principles of animal behavior into wildlife conservation and management has led to some concrete successes but has failed to improve conservation outcomes in other cases. Many conservation interventions involve attempts to either attract or repel animals, which we refer to as approach/avoidance issues. These attempts can be reframed as issues of manipulating the decisions animals make, which are driven by their perceptual abilities and attentional biases, as well as the value animals attribute to current stimuli and past learned experiences. These processes all fall under the umbrella of animal cognition. Here, we highlight rules that emerge when considering approach/avoidance conservation issues through the lens of cognitive-based management. For each rule, we review relevant conservation successes and failures to better predict the conditions in which behavior can be manipulated, and we suggest how to avoid future failures.

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