Conference Agenda

Abstract– Ecosystem services (ES) provided by protected areas play a critical role in supporting human well-being. This study presents a partial economic valuation of selected ecosystem services in the Yuscarán Biological Reserve (YBR), Honduras, applying a participatory approach for ecosystem service identification and prioritization, followed by economic valuation methods. Semi-structured interviews with the economically active population were conducted to identify and prioritize ecosystem services, followed by a technical characterization of the selected. The economic value of water provision, soil formation, climate regulation, and aggregated non-use services was estimated using a combination of revealed preference, replacement cost, technological substitution, and investment cost approaches. Results indicate that climate regulation represents the highest economic contribution, followed by aggregated non-use ecosystem services, soil formation, and water provision. By quantifying the economic value of selected ecosystem services, this study generates baseline information that can support conservation planning and ecosystem management in protected areas with limited availability of primary data.

This study aimed to analyze the impact of sustainable solutions implemented in the textile industry, assessing their effectiveness in reducing pollution and improving environmental performance. A systematic review design without meta-analysis was employed, following PRISMA guidelines and the PICO framework. The search was conducted in the Scopus database, considering publications between 2021 and 2025, and applying predefined inclusion and exclusion criteria. A total of 32 articles meeting the eligibility criteria were selected for detailed analysis. The results revealed that the most frequent issues are associated with textile waste, chemical waste, and high resource consumption. The most widely implemented sustainable solutions include textile recycling, cellulose recovery, bioprocesses, the use of natural dyes, and the valorization of agricultural waste, achieving notable efficiencies such as dye removals exceeding 97%, reductions in environmental impact close to 48%, and significant decreases in water and energy consumption. Furthermore, it was identified that these solutions are primarily applied in large and medium-sized enterprises, while digital technologies, although less frequent, are oriented towards environmental monitoring and traceability. In conclusion, recycling and material recovery technologies constitute the most effective strategies for promoting cleaner processes in the textile industry, while strengthening digital tools and validation in real-world environments represent key opportunities for advancing towards a more integrated circular economy.

The accumulation of nitrogen and phosphorus in water bodies is one of the main drivers of eutrophication and environmental degradation, a problem that conventional treatments do not always solve due to their high costs and energy requirements. In this context, this review analyzes the potential of microalgae and cyanobacteria as a sustainable alternative for wastewater purification. A systematic search was conducted in SCOPUS up to September 2025, following the PICO methodology and the PRISMA flow diagram, identifying 235 studies, of which 36 met the inclusion criteria as original research published between 2020 and 2025 with experimental data on nutrient removal. The findings show that these microorganisms can remove more than 90% of nitrogen and phosphorus, with species such as (Chlorella) and (Scenedesmus) standing out. Additionally, microalgae–bacteria consortia outperform single cultures due to their metabolic cooperation. Optimal operational conditions reported include pH between 7–8.5, temperatures of 22–28 °C, and minimum photoperiods of 12 hours. Although the technology is promising, challenges remain, such as the lack of methodological standardization, scale limitations since most studies are conducted at laboratory level, and the costs associated with biomass recovery.

This study presents a literature review on the valorization of animal-derived protein fiber waste, such as wool, primarily generated in the textile sector, for the development of usable biomaterials across different sectors and industries. Following the PRISMA methodology, 37 scientific articles published between 2020 and 2025 were selected from the Scopus database. The results indicate that protein fiber waste is mainly processed through hydrolysis and subsequently transformed into fibrous materials, films, bioplastics, hydrogels, and protein hydrolysates. Biomedical applications are frequently reported in the literature, whereas industrial, environmental, and textile applications are scarcely addressed, highlighting gaps in sustainable processes that could be applied on a larger scale. Overall, the findings emphasize the potential of protein fiber waste as an alternative raw material for material production within circular economy strategies.

The project analyzes how vertical green infrastructure (green walls, green roofs, rain gardens) and biophilic design (integration of natural elements into buildings) can improve urban sustainability in Cajamarca, a city facing problems such as increased PM2.5, disorderly urban growth, loss of green areas, and a progressive disconnect between the population and nature. A municipal regulation is proposed that establishes minimum requirements for vegetation on facades and roofs, rainwater harvesting systems, mandatory maintenance, separation of networks, and natural ventilation and lighting strategies. Incentives such as reduced municipal taxes and certifications are also proposed to promote the adoption of these practices. The methodology combines documentary analysis, urban- environmental diagnosis, interviews, and regulatory review. The results indicate that the proposal is viable and can generate significant environmental and social benefits; however, it requires institutional strengthening, financing, adequate maintenance, and public awareness. Overall, the project constitutes a path to making Cajamarca a healthier, more resilient, and more ecological city, in line with SDGs 11 and 13 and with the Regional Environmental Policy for 2030.

Abstract– Dairy effluents generated during ice cream production are characterized by high organic loads, suspended solids, and operational variability, as well as low alkalinity and acidic pH, which hinder stable biological treatment. The objective of this study was to evaluate the influence of operational cycle time (OCT) on the performance of a sequencing batch reactor (SBR) for treating effluents from an ice cream production plant. The wastewater was characterized through physicochemical parameters following standard methods. A laboratory-scale SBR (2 L working volume; 30% biomass) was operated using acclimated biomass under three treatments (OCT = 6, 8, and 10 h), maintaining a sludge retention time of 25 days. The removal of COD, BOD, nitrogen species, phosphorus, pH, and alkalinity was evaluated. Increasing the OCT improved organic matter removal, achieving 70.2–89.7% COD and 86.2–97.5% BOD removal, with significant differences between 6 h and OCT ≥ 8 h. Nitrification–denitrification was observed, with nitrification efficiencies of 80.3–95.0% and denitrification efficiencies of 83.3–90.3% without the addition of an external carbon source. Phosphorus removal was moderate (30.4–45.4%). The SBR proved to be an effective alternative for treating ice cream effluents. An OCT of 8 h significantly improved system performance and enabled simultaneous removal of organic matter and nitrogen under stable operational conditions.

This research develops a structural equation model to evaluate the effects of green logistics and environmental policies on the benefits achieved within the supply chains of manufacturing companies. The methodology comprises several stages, including the design, validation, and administration of a questionnaire on green logistics practices, data collection and cleaning, and the estimation of a structural equation model using partial least squares. Data were collected through stratified random sampling from manufacturing companies located in Ciudad Juárez, Chihuahua, Mexico, between January and July 2025. A total of 151 valid questionnaires were obtained, representing the participation of 43 companies. The results indicate a direct and positive effect of environmental policies on green logistics (0.531), highlighting their relevance in the business context and the need for their continuous improvement. Additionally, environmental policies show a direct and positive effect on supply chain benefits (0.410), demonstrating that such policies can generate tangible impacts not only in environmental performance but also in economic, social, and operational outcomes.