Dr Humberto Perotto-Baldivieso
Lecturer in Geographic Information
Location: Building 42, Cranfield campus
E: h.perotto@cranfield.ac.uk
T: +44 (0)1234 750111 x2779
Environmental Science and Technology
Current activities
Dr Humberto L Perotto-Baldivieso is conducting research in the areas of landscape ecology and natural hazards. His research focuses on the role of spatial patterns and processes as related to ecosystem functions and ecosystem services at the landscape scale.This includes the development of methodologies to understand ecological connectivity at multiple scales, spatial and temporal dynamics of animal movement, and the development of data infrastructure for the distribution of spatial data in the areas of biological conservation and natural hazards.
Background
Dr Humberto L Perotto-Baldivieso started in 1996 as a technical liaison for the Inter-American Development Bank-Amazon project “BID-Amazonia” collecting spatial information for land use management plans in the Amazon region of Bolivia.
In 1998, he was awarded a Fulbright Scholarship to pursue his Master’s degree in Forestry at Texas A&M. His research focused on developing a landslide hazard model in Southern Honduras. As part of his PhD program, Humberto worked with GIS and remote sensing based methods to quantify landscape characteristics of Rio Grande Wild Turkey habitat.
In 2005, Humberto moved to Puerto Rico where he worked as a post-doctoral researcher in landslide spatial structure in Sierra de Las Minas, Guatemala. He also developed research and academic collaborations with the Institute of Tropical Ecosystem Studies (ITES) in the areas of endemic species conservation and ecological connectivity.
In 2006, Humberto was appointed as Assistant Professor at Texas Agrilife Research, part of the Texas A&M University System, where he developed a research program in landscape ecology, focusing on ungulate interactions with vegetation and water resources.
In 2009, Humberto joined Cranfield University and his research interests include landslide hazards, ecological connectivity, and advanced methods to analyse animal movement.
