Roberto Cazzolla Gatti
Environmental Science · Purdue University West Lafayette
Publications
160
Citations
5,899
Est. group size
~2
Recurring co-author estimate
Active years
45
Publishing since 1982
Roberto Cazzolla Gatti studies global forest ecology and biodiversity, combining large-scale field data, remote sensing, and machine learning to map traits like tree diameter, wood density, and canopy height across the world's forests. His work also extends to biodiversity monitoring and conservation planning, including Key Biodiversity Areas, protected-area networks, and the effects of human pressures (including war and pollution) on ecosystems and wildlife. This research is relevant for students interested in large-scale ecological data analysis, conservation science, and the application of computational tools to environmental problems.
Publication output has grown from around 5 per year in 2017 to a peak of 19 in 2023, with sustained activity of roughly 14-18 papers per year since 2022, indicating a steady to growing publication pace over the last decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Spaceborne Canopy Height Products Should Be Complemented With Airborne Laser Scanning Data: Toward a European Canopy Height Model
Earth and Space Science · 2026
- Landscape effects on global soil pathogenic fungal diversity across spatial scales
Nature Communications · 2026
- Supplementary material to "The global forest diameter spectrum using a machine learning approach"
2026
- Zooming into biodiversity: how spatial resolution and data quality affect identification of potential Key Biodiversity Areas
SSRN Electronic Journal · 2026
- The global forest diameter spectrum using a machine learning approach
2026
- Insect Key Biodiversity Areas scoping informs targeted monitoring to strengthen spatial stability over time
Biological Conservation · 2026
- Molecular detection of Borrelia burgdorferi sensu lato in questing ticks: One year of sampling in Bologna (Northern Italy)
One Health · 2026
- Global Wood Density Database v.2 (GWDD v.2)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- An early warning system based on machine learning detects huge forest loss in Ukraine during the war
Global Ecology and Conservation · 2025
- Mycorrhizal symbioses and tree diversity in global forest communities
Science Advances · 2025
- Effect of climate on traits of dominant and rare tree species in the world’s forests
Nature Communications · 2025
- Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence
Environmental Pollution · 2025
- Representativeness of the Natura 2000 network for preserving plant biodiversity in the European Union
Conservation Biology · 2025
- Non‐Invasive Monitoring of Hazel Dormouse ( <i>Muscardinus avellanarius</i> ): First Insights on Genetic Data Quality From the First Pilot Study
Ecology and Evolution · 2025
- Assessing the effects of anthropogenic pressures on biodiversity: a multi-taxonomic approach in Basilicata, Italy
Environmental Science and Pollution Research · 2025
- The Science of The Total Environment×8
- Ecological Modelling×5
- Global Ecology and Biogeography×4
- Nature×4
- Scientific Reports×3
- Stephen J. Murphy
Environmental Science · The Ohio State University
- Jessica Gurevitch
Environmental Science · Purdue University West Lafayette
- M. Inam Jameel
Environmental Science · Purdue University West Lafayette
- Ranjan Muthukrishnan
Environmental Science · Indiana University
- Subham Banerjee
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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