Obiettivo Anthropogenic land use/land cover change (LULCC) is now one of the major causes of biodiversity loss and the second largest source of carbon emissions to the atmosphere. Policy-makers face a challenging task when making decisions that impact the future of the landscapes with great levels of uncertainty about its outcome. Spatially-explicit LULCC models can be important tools to help assessing the outcome of such decisions a piori. However, modelling anthropogenic processes is a great challenge. Not only is the physical environment itself highly variable, but the underlying processes that drive LULCC combine socio-economic, cultural, political and environmental factors. Although enormous advances have been made in the field of LULCC modelling over the past couple of decades, there is room for improvement as these models still lack the ability to project both the rate and location of future change accurately. Improving these models would dramatically increase their potential to help solving real-world problems. Therefore, this research proposal will improve an existing LCCM to be able to incorporate region- and land-use transition specific parameters, representing observed relationships between proximate causes and drivers of LULCC, which vary over time and space. By the means of two real-world case studies, on different biomes (Serengeti-Mara Ecosystem and the Brazilian Atlantic Forest), this project will show how a LULCC model can be used to tackle two important worldwide conservation issues: the conflict between infrastructure development and conservation (Serengeti) and the impacts of implementing financial incentives to promote forest restoration (Atlantic Forest). Ultimately, this research proposal will provide a framework for robust decision-making under uncertainty, particularly when considering potential trade-offs between socio-economic and ecological implications at different scales, and a tool for aiding management of stakeholders' conflicts due to LULCC. Campo scientifico natural sciencesbiological sciencesecologylandscape ecologynatural sciencesearth and related environmental sciencessoil sciencesland-based treatmentnatural sciencesbiological sciencesbiodiversity conservationnatural sciencesbiological sciencesecologyecosystems Programma(i) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Argomento(i) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Invito a presentare proposte H2020-MSCA-IF-2015 Vedi altri progetti per questo bando Meccanismo di finanziamento MSCA-IF-EF-ST - Standard EF Coordinatore MARTIN-LUTHER-UNIVERSITAT HALLE-WITTENBERG Contribution nette de l'UE € 159 460,80 Indirizzo UNIVERSITATSPLATZ 10 6108 Halle Germania Mostra sulla mappa Regione Baden-Württemberg Stuttgart Stuttgart, Stadtkreis Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 159 460,80