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Dr. Tati Micheletti


Research interests

I am passionate about spatial predictive ecology, wildlife management, and open science, especially when these are coupled with big data and complex models. After acquiring my Ph.D. in Natural Sciences at the Technische Universität Dresden in 2017, I have held a postdoctoral position followed by a Research Associate position at the Faculty of Forestry at the University of British Columbia (UBC) in Canada (November 2017 to April 2024). Currently, I am a Lead Scientist with a DFG-approved project at the Institute of Forest Growth and Forest Computer Sciences at TU Dresden, Germany. At UBC I have worked with big datasets (up to approximately 5 million km2 at 30m resolution; Boreal Region of Canada) to answer large-scale landscape and wildlife ecological questions on various themes. My work ranged from landscape forecasting (Barros et al., 2022), to analyzing the effect of changing climate on boreal landbirds (Micheletti et al. 2021) and woodland caribou populations and habitat suitability (Stewart, Micheletti et al., 2023), to investigating species relationships by testing the umbrella concept (Micheletti et al., 2023), to building human development forecasting models (Micheletti and McIntire, 2024). I also collaborate with researchers from South and North America, Europe, and Australia involving invasive species, and diseases, population assessment, and monitoring of large mammals, lizards and birds.

External positions

Member, Brazilian Institute for Conservation Medicine – INSTITUTO TRÍADE

1 Mar 2012 → …

Identification Numbers

ORCID Orcid 0000-0003-4838-8342
Scopus author ID 56650878400

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