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Payment for ecosystem services (PES) is an environmental policy looking to improve ecosystem conservation and well-being. Assets have been used to evaluate socioeconomic outcomes of the program; however, the allocation of PES at a household level and its explaining variables have not been addressed. Thus, the aim of this article is to study the allocation of PES in nondurable and durable goods and the determinants of this household decision. Results from the La Antigua watershed located in Mexico indicate that the PES program is primarily used in durable goods, mainly on health, house infrastructure, agricultural inputs, and reforestation. Econometric models show that this allocation to one or several assets depends on the average age of the household head, on participation in a community organization, and on the average income. In contrast, government transfers are not significant. Based on this, policy recommendations are made related to the program's socioeconomic outcomes and alignment with other conditional cash transfer. [ABSTRACT FROM AUTHOR]

Agri-food social-ecological systems (AFSES) embrace complex interactions and processes of food production, processing, and commercialization that are subject to constant changes. This study develops a heuristic approach using the adaptive cycle (AC) and a transformation potential measure to identify the historical trajectory of a coffee AFSES at a watershed scale in Copalita, Mexico, over 40 years from 1980 to 2020. Primary information was collected through semistructured interviews. The results show that the system interactions depend on economic, social, and environmental stressors and shocks affecting different temporal and spatial scales. The cumulative effects of driving forces and adaptive strategies have influenced the system to not complete the AC phases. Additionally, the results show that some adaptive strategies can become new stressors with time. Driving forces, adaptive strategies, tipping points, trade-offs and interactions within the AFSES could be identified as the main aspects defining system resilience., (© 2023. The Author(s).)