Fauna em Foco Science

Heidenreich B, Pedersen A. · Animals : an open access journal from MDPI · 2025

The Constructional Approach to Zoo Animal Training: Enhancing Welfare Through Emerging Evidence-Based Behavioral Science.

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Resumo original em inglês

Animal welfare has become a cornerstone of modern zoo and aquarium animal care practices. This paper introduces the constructional approach to animal training as an evidence-based framework that can enhance the welfare of zoo animals. Developed through decades of behavioral science research and practical applications, the constructional approach emphasizes building desirable behaviors rather than eliminating problematic ones, avoiding reduction-based techniques, utilizing comprehensive contingency analysis, incorporating genuine choice, and addressing emotional welfare through contingency management. This review systematically examines the foundational principles of the constructional approach, distinguishes it from traditional animal training methodologies, presents case examples of successful implementation in zoo settings, and provides practical recommendations for zoo professionals. Methods included a narrative review of peer-reviewed literature, unpublished academic works, and documented applications in zoological settings. The results demonstrate that constructional programs offer notable advantages over commonly promoted hierarchical models of behavior change procedures, which often prescribe sequential application of techniques without adequate consideration of behavioral function. By adopting constructional programs, zoos can more effectively meet their overriding goals of providing optimal welfare, supporting conservation efforts, facilitating research, and enhancing educational experiences-all while prioritizing compassionate care that respects the agency and well-being of animals.

Fonte e licença. Publicado sob CC BY. DOI: 10.3390/ani15213221. Ler o artigo completo na fonte ↗

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Dados de terceiros. Metadados bibliográficos do Europe PMC, DOAJ, Crossref e OpenAlex. Taxonomia do GBIF — Global Biodiversity Information Facility, Backbone Taxonomy sob CC BY 4.0.

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