Climate and Land Use Impacts on Natural and Artificial Systems: Mitigation and Adaptation - Couverture souple

 
9780128221846: Climate and Land Use Impacts on Natural and Artificial Systems: Mitigation and Adaptation

Synopsis

Climate and Land Use Impacts on Natural and Artificial Systems: Mitigation and Adaptation provides in-depth information on the linkages between climate change and land use, how they are related, how land use is shifting over time, and the major global regions at risk for climate and land use changes. This comprehensive resource discusses climatic factors and processes that impact natural and artificial systems, as well as the relationship between climate change and both natural and man-made hazards. The book includes case studies and original maps to provide real-life examples of climate change and land use over regions around the globe.

In addition, the book presents future perspectives on mitigation and adaptation of the climate change impact.

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À propos de l?auteur

Dr. Mărgărit-Mircea Nistor is a professional researcher and scientist in Earth Systems Sciences. He completed his PhD in 2016, in the field of Geoengineering, at the University of Modena and Reggio Emilia from Italy. The BSc and MSc were held at the University of Babeș-Bolyai from Romania. Dr. Mărgărit-Mircea Nistor is dedicated for research in the field of Hydrogeology, Physical Geography, Geomatics, Climate, Glaciology, Geographical Information Systems, Geotechnics, and Environmental studies and he has reached +100 publications. He was cartographer in 2 European projects from South East Europe, in which he managed the large spatial databases and he provided support for digital mapping of water demand, hydrogeological characteristics of aquifers, land use, and climate data. Dr. Mărgărit-Mircea Nistor completed field researches over North America - Alaska, South Asia, Europe, Australia, and New Zealand and he has edited and provided information for +50,000 maps. His personal interest is also in Data Science and Programming, including Analyzing Data, Machine Learning, Data Modelling, Statistics, and Visual Analysis

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