Browsing by Subject "Climate change mitigation"

Browsing by Subject "Climate change mitigation"

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  • Agroforestry creates carbon sinks whilst enhancing the environment in agricultural landscapes in Europe 
    Sonja, Kay; Rega, Carlo; Moreno, Gerardo; den Herder, Michael; Palma, João H. N.; Borek, Robert; Crous-Duran, Josep; Freese, Dirk; Giannitsopoulos, Michail; Graves, Anil; Jäger, Mareike; Lamersdorf, Norbert; Memedemin, Daniyar; Mosquera-Losada, Rosa; Pantera, Anastasia; Paracchini, Maria Luisa; Paris, Pierluigi; Roces-Díaz, José V.; Rolo, Victor; Rosati, Adolfo; Sandor, Mignon; Smith, Jo; Szerencsits, Erich; Varga, Anna; Viaud, Valérie; Wawer, Rafal; Burgess, Paul J.; Herzog, Felix (Elsevier, 2019-03-06)
    Agroforestry, relative to conventional agriculture, contributes significantly to carbon sequestration, increases a range of regulating ecosystem services, and enhances biodiversity. Using a transdisciplinary approach, we ...
  • A country-level assessment of the deployment potential of greenhouse gas removal technologies 
    Asibor, Jude Odianosen; Clough, Peter T.; Nabavi, Seyed Ali; Manovic, Vasilije (Elsevier, 2022-09-13)
    The deployment of greenhouse gas removal (GGR) technologies has been identified as an indispensable option in limiting global warming to 1.5 °C by the end of the century. Despite this, many countries are yet to include and ...
  • Landscape-scale modelling of agroforestry ecosystems services in Swiss orchards: a methodological approach 
    Kay, Sonja; Crous-Duran, Josep; García de Jalón, Silvestre; Graves, Anil; Palma, João H. N.; Roces-Díaz, José V.; Szerencsits, Erich; Weibel, Robert; Herzog, Felix (Springer, 2018-08-02)
    Context Agroforestry systems in temperate Europe are known to provide both, provisioning and regulating ecosystem services (ES). Yet, it is poorly understood how these systems affect ES provision at a landscape scale ...
  • A machine learning approach for country-level deployment of greenhouse gas removal technologies 
    Asibor, Jude Odianosen; Clough, Peter T.; Nabavi, Seyed Ali; Manovic, Vasilije (Elsevier, 2023-10-19)
    The suitability of countries to deploy five greenhouse gas removal technologies was investigated using hierarchical clustering machine learning. These technologies include forestation, enhanced weathering, direct air carbon ...
  • A machine learning approach for resource mapping analysis of greenhouse gas removal technologies 
    Asibor, Jude Odianosen; Clough, Peter T.; Nabavi, Seyed Ali; Manovic, Vasilije (Elsevier, 2023-07-25)
    In this study, machine learning (ML) was applied to investigate the suitability of a location to deploy five greenhouse gas removal (GGR) methods within a global context, based on a location's bio-geophysical and techno-economic ...