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Antonio Trabucco obtained a BSC/MSC in Forestry and Hydrology from Padua University (Italy) and a PhD in BioScience Engineering at the Catholic University of Leuven (Belgium) on the evaluation of land use activities for climate change mitigation at global scale. He is currently involved at CMCC with large data coupling processes and climate services modeling of interactions between climate, hydrology and vegetation (crop productivity and ecosystem services) and sustainable development goals. He is specialized on research methodologies covering relationships between vegetation/ecosystems and climate (from regional to global scale), ecosystem services and their alteration due to climate and global drivers linked to land use, policy and economic development scenarios. He has been heavily engaged in the development of several global climate dataset (PET, Soil Water Budget, Aridity Index), from which he expanded collaborations with many international scientific teams.
Through several prior international research positions (in Europe US, Latin America, Asia and Africa), he grew a wide experience and research interest over different socio-economic and geographic contexts for natural resource management and sustainable development. Further research experiences include elaboration of climate indicators (Bio-climate stratification, limiting factors), Land Suitability assessment and Decision Support Systems quantifying potentials of nature based solutions and trade-offs with ecosystem services and human needs in agricultural and forest sectors under climate change. In addition to analyzing climate change impact on several environmental aspects related to ecosystem distribution and production, species distribution, vegetation functioning and crop productivity, its involvement in several projects over the last years consolidated a strong experience on evaluation and demonstration activities of adaptation practices in agriculture and forestry, and their elaboration into policy advises.
- Evaluating the applicability of using daily forecasts from seasonal prediction systems (SPSs) for agriculture: a case study of Nepal’s Terai with the NCEP CFSv2
- A height-wood-seed axis which is preserved across climatic regions explains tree dominance in European forest communities
- Predicting range shifts of Asian elephants under global change
- Using daily data from seasonal forecasts in dynamic crop models for yield prediction: A case study for rice in Nepal’s Terai
- Hemlock woolly adelgid niche models from the invasive eastern North American range with projections to native ranges and future climates
- Assessment of irrigated agriculture vulnerability under climate change in Southern Italy
- Random Subset Feature Selection for Ecological Niche Models of Wildfire Activity in Western North America
- Multi-Stakeholder Development of a Serious Game to Explore the Water-Energy-Food-Land-Climate Nexus: The SIM4NEXUS Approach
- Anticipating Climatic Variability: The Potential of Ecological Calendars
- A risk assessment framework for irrigated agriculture under climate change