Fondecyt Regular 1171560 selected in 2017 competition !

Feb 7, 2017·
Dr. Mauricio Zambrano-Bigiarini
Dr. Mauricio Zambrano-Bigiarini
· 1 min read
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The proyect 1171560 entitled “Assessing spatio-temporal impacts of global change on water and biomass production processes at catchment scale: a synergistic approach based on remote sensing and coupled hydrological models to improve sustainable management of forest ecosystems” was selected in the 2017 Chilean competition for “Fondecyt Regular” proyects.

This proposal is a collaborative effort born completly within the Center for Climate and Resilience Research (CR2) FONDAP, where the principal investigator (PI) Mauricio Galleguillos and me (Co-PI) are working. This proyect started as a truly interdisciplinary idea, and a research visit of the PI to Temuco was the perfect ocassion to discuss about the main research question, methodology and expected outcomes.

The recent fires that are affecting Chile since January 2017, are important evidence that the outcomes of this project might have important societal impacts.

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Dr. Mauricio Zambrano-Bigiarini
Authors
Associate Professor

I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).

My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.

I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.

Please reach out to collaborate 😃