The ecosystem service of water regulation is one of the most important offered by the high[1]Andean ecosystems. However, knowledge about its contribution in hydrological terms is still scarce and its estimation is difficult, due to the complex eco-hydrological and climatic processes, and environmental characteristics of the Andes. Therefore, the influence of three types of ecosystems (humid puna grassland, tropical high-Andean wetland (bofedal) and Polylepis forest) was estimated on water flows, particularly flows that reach underground storage, which is equivalent to the ecosystem service of water regulation. This study was developed during the hydrological year 2018 - 2019 in the Rontoccocha hydrographic unit, between 3 900 and 4 635 masl, in the Apurimac Region, Peru. For this, the water balance for each type of ecosystem was modeled with the Hydrobal eco-hydrological tool. Variables ...

A new FAO Penman-Monteith reference evapotranspiration gridded dataset is introduced, called PISCOeo_pm. PISCOeo_pm has been developed for the 1981–2016 period at ~1 km (0.01°) spatial resolution for the entire continental Peruvian territory. The framework for the development of PISCOeo_pm is based on previously generated gridded data of meteorological subvariables such as air temperature (maximum and minimum), sunshine duration, dew point temperature, and wind speed. Different steps, i.e., (i) quality control, (ii) gap-filling, (iii) homogenization, and (iv) spatial interpolation, were applied to the subvariables. Based on the results of an independent validation, on average, PISCOeo_pm exhibits better precision than three existing gridded products (CRU_TS, TerraClimate, and ERA5-Land) because it presents a predictive capacity above the average observed using daily and monthly data...

Día 2 - Presentaciones

The Peruvian Andes are a hotspot of vulnerabilities to impacts in water resources due to the propensity for water stress, the highly unpredictable weather, the sensitivity of glaciers, and the socio-economic vulnerability of its population. In this context, we selected the Vilcanota-Urubamba catchment in Southern Peru for addressing these challenges aiming at our objectives within a particular hydrological high-mountain context in the tropical Andes: a) Develop a fully-distributed, physically-based glacier surface energy balance model that allows for a realistic representation of glacier dynamics in glacier melt projections; b) Design and implement a glacio-hydrological monitoring and data collection approach to quantify non-glacial contributions to water resources and the impact of catchments interventions; c) Mapping of human water use at high spatiotemporal resolution and determining ...