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Urban ecosystem services and disservices: descriptors analysis using photovoice

Caro Vera C.C.; Negrin Marques T.H.; Arenas Yance D.L.; Romo Herrera O.A. · Journal of Integrative Environmental Sciences (2026) · DOI: 10.1080/1943815x.2026.2643606

Resumen

Urban ecosystem services (UES) are the benefits that natural or semi-natural spaces within cities provide to human well-being, while urban ecosystem disservices (UEDS) represent their negative impacts. Managing this balance is particularly challenging in Latin America, where over 80% of the population lives in urban areas. However, research on UES/UEDS remains unevenly distributed across the region, with Peru receiving limited attention. Additionally, a gap persists between technical ecosystem terminology and the everyday language residents use to describe urban nature, limiting inclusive participation in planning processes. This study addresses both gaps by developing a repository of colloquial descriptors that links citizens’ vernacular expressions with formal ecosystem service frameworks. Using an online photovoice approach, 140 university students in Lima, Peru, photographed and described campus open spaces they “like” (UES) or “dislike” (UEDS). After quality control, 98 “like” and 62 “dislike” images were analyzed through a three-phase process: data collection, inductive extraction of colloquial descriptors, and inferential coding using the Common International Classification of Ecosystem Services (CICES) framework. The resulting repository includes 33 descriptors associated with 18 UES categories and 13 UEDS. Chi-square tests showed no significant associations with gender, district of origin, or academic year, although academic major influenced UEDS identification (p < 0.05). The repository offers a practical translation tool for surveys and citizen consultations, provides empirical insight into locally relevant UES/UEDS, and demonstrates a replicable methodology for culturally responsive urban ecosystem planning.

Instituciones: Universidad Nacional Agraria La Molina