The impact of climate change on droughts in the Lake Titicaca, Desaguadero River, and Lake Poopo basins (TDPS system) within the Altiplano region was evaluated by comparing projected 2034–2064 and observed 1984–2014 hydroclimate time series. The study used bias-corrected monthly climate projections from the fifth phase of the Coupled Model Intercomparison Project (CMIP5), under the Representative Concentration Pathway 8.5 (RCP8.5) emission scenarios. Meteorological, agricultural, and hydrological droughts were analyzed from the standardized precipitation, standardized soil moisture, and standardized runoff indices, respectively, the latter two estimated from a hydrological model. Under scenarios of mean temperature increases up to 3 °C and spatially diverse precipitation changes, our results indicate that meteorological, agricultural, and hydrological droughts will become more intense, frequent, and prolonged in most of the TDPS. A significant increase in the frequency of short-term agricultural and hydrological droughts (duration of 1–2 months) is also projected. The expected decline in annual rainfall and the larger evapotranspiration increase in the southern TDPS combine to yield larger projected rises in the frequency and intensity of agricultural and hydrological droughts in this region.

Wildfire occurrence has increased sharply in the last two decades in the Peruvian Andes. There is, however, little research on wildfires and their impacts. This study explores the conditions conducive to wildfire during 2020. MODIS images were collected to estimate the development of vegetation. In addition, ground-based monthly and satellite-based daily precipitation data were collected. Daily precipitation regularity was evaluated using a concentration index (CI), while monthly precipitation was used to estimate the Standard Precipitation Index (SPI). We used also the Global Vegetation Moisture Index (GVMI), which is a useful indicator of vegetation dynamics based on vegetation moisture. Our results do not indicate a direct link between rainfall regularity (lowest CI values) and development of vegetation. Although the SPI drought analysis using seasonal rainfall indicated nearly normal conditions during 2019–2020, analysis of dry-day frequency (DDF) suggests that the dry period played an important role between September and November 2020, producing conditions similar to the droughts of 2005, 2010 and 2016. GVMI also showed below-average values from April to November. We corroborate the usefulness of DDF for monitoring the potential increase in wildfire conditions. A controlled burn policy could offer a more useful way to reduce the impacts of wildfire.

The effects of climate change projected for 2050 to 2079 relative to the 1968–2014 reference period were evaluated using 39 CMIP5 models under the RCP8.5 emissions scenario in the Guayas River basin. The monthly normalized precipitation index (SPI) was used in this study to assess the impact of climate change for wet events and droughts from a meteorological perspective. The GR2M model was used to project changes in the streamflow of the Daule River. The climate projection was based on the four rigorously selected models to represent the climate of the study area. On average, an increase in temperature (~2 °C) and precipitation (~6%) is expected. A 7% increase in precipitation would result in a 10% increase in streamflow for flood periods, while an 8% decrease in precipitation could result in approximately a 60% reduction in flow for dry periods. The analysis of droughts shows that they will be more frequent and prolonged in the highlands (Andes) and the middle part of the basin. In the future, wet periods will be less frequent but of greater duration and intensity on the Ecuadorian coast. These results point to future problems such as water deficit in the dry season but also increased streamflow for floods during the wet season. This information should be taken into account in designing strategies for adaptation to climate change.

La agresividad de la lluvia contribuye a la erosividad del suelo en regiones de alta montaña, y por tal a la sedimentación en la parte baja de la cuenca. La reducción de incertidumbre acerca de la agresividad de la lluvia en regiones costeras y andinas contribuye a la formulación de medidas de mitigación que contribuyan a la reducción de erosión y pérdida de nutrientes. Este estudio presenta un análisis espacial y temporal de la agresividad climática en la cuenca del río Guayas ubicada en la costa y Andes ecuatoriales. Se seleccionó datos mensuales registrados de 30 estaciones pluviométricas para el periodo de 1968-2014. Se determinó zonas homogéneas de precipitación mediante el método k-means. Los resultados indicaron dos regiones homogeneas predominantes, la primera ubicada al oeste en la zona costera y andina (85.2% del área de la Cuenca), con un índice de agresividad alto y muy alto, mientras que la distribución de la precipitación en la segunda región (Alta montaña) resultó de muy baja a baja agresividad. La mayor agresividad potencial de la lluvia le corresponde una mayor acumulación de precipitación promedio anual, lo que indica una alta influencia estacional de las lluvias, i.e, una mayor cantidad de lluvia puede precipitar en un número reducido de meses consecutivos. Los valores de concentración revelan una gradiente regional en dirección este-oeste, que va de moderadamente a fuertemente estacional. El análisis de tendencias de la concentración de lluvia mensual no muestra cambios significativos en el periodo de estudio. No obstante, nuestros hallazgos explican el porqué la región oeste y sur de la cuenca del río Guayas está expuesta a problemas de sedimentación en la parte baja, producto de la capacidad erosiva de la lluvia en la parte alta y media de la cuenca.

Globally, increasing competition for water and the effects of climate change have heightened the need to assess the sustainability of irrigation systems, particularly in strategic ecosystems such as the Andean páramos. However, there is a gap in methodological tools that integrate indicators adapted to community-based contexts and aligned with global frameworks such as the Sustainable Development Goals (SDGs) and the Principles for Responsible Investment in Agriculture and Food Systems (RAI Principles). This study aims to define indicators for evaluating the sustainability of community-managed irrigation systems in Ecuador. The MESMIS framework and the Delphi technique were applied using a participatory approach that involved community leaders, technicians, academics, and students. A total of 31 indicators were defined, organized into seven attributes and five dimensions (environmental, social, economic, political, and technological), and aligned with nine SDGs and seven RAI Principles. The results reveal critical issues related to water use efficiency, governance, equity, and system resilience. The proposed framework enables a comprehensive and context-specific evaluation of irrigation systems and provides a practical tool for public policy design. In conclusion, this research helps bridge the existing methodological gap and reinforces the role of community irrigation systems as key pillars for sustainable and resilient agriculture.