CLAND Newcomers

Meet the young scientists who have joined the CLAND team!

	Mr. Maxime BRIERE Maxime BRIERE is PhD student at ESE lab since November 2018. The aim of his work is to adapt and validate a flux model to different tree densities of the sessile oak and the Douglas Fir tree species. Using the results, some insight might be given to ONF, who is co-funding the work, in order to adapt the forest management in a global change context.
	Ms. Elisa BRUNI  Elisa is a PhD student in soil modeling, working between LSCE and ECOSYS under the supervision of Claire Chenu and Bertrand Guenet. Her PhD consists in estimating the biomass inputs that need to be brought to the soil to reach a soil organic carbon storage increase of 4x1000 per year. She will use several soil organic carbon models to estimate the uncertainties related to the different models at global scale and at local scale for France and China.
	Mr. Ivan CORNUT Ivan has started a PhD at ESE laboratory in Orsay. He is working on using a process-based modelling approach to assess the impact of mineral cycles on stand growth and ressource-use in tropical Eucalypt plantations. This work is done in collaboration with CIRAD lab Eco&Sols in Montpellier that has obtained important amounts of data on various fertilisation experiments, conducted in Brasil.
	Dr Thais DINIZ OLIVEIRA Postdoctoral research at Centre International de Recherche sur l'Environnement et le Développement (CIRED), Thais is working under the CLAND project to evaluate the prospects of land-based mitigation options for future decarbonisation of the global economy. She has expertise in climate policy analysis particularly related to carbon pricing proposals for developing countries, international trading, economic modelling and sustainability research.
	Ms. Mathilde DUVALLET Mathilde is a PhD student at the Centre International de Recherche sur l'Environnement et le Développement (CIRED), under the supervision of Patrice Dumas (CIRAD) and Tamara Ben Ari (INRAE). Her objectives are to evaluate the potential for West African countries to reach rice self-sufficiency and the possibility to continue answering their local growing demand on the international market in the scope of climate change. Several methodological tools and data are used to achieve these goals: statistic yield data analysis, hydroeconomic modelization and global agricultural product trade flow balance.
	Mr. Arthur FENDRICH Arthur Fendrich is a joint PhD student at the ABIES doctoral school (AgroParisTech) and the Collaborative Doctoral Partnership (CDP) Program of the Joint Research Centre (JRC). Arthur is working on the future impacts of soil erosion on the soil nutrient budgets for agricultural land at European scale. He is investigating these erosion impacts for different climate change scenarios through the use of the land surface model ORCHIDEE and machine learning tools.
	Ms. Julia HEBBRECHT I started working on my PhD thesis jointly at ECOSYS and SADAPT laboratories (INRAE-AgroParisTech) in January 2020. My thesis aims at developing a model of nitrogen fluxes related to agricultural land use and livestock production in France and further European countries. This model will be used to study the link between agricultural production, its environmental impacts and the provision of ecosystem services in order to soften trade-offs and enhance synergies. For more details, please visit his LinkedIn Profile.
	Dr. YuanYuan HUANG Yuanyuan is working as a postdoctoral researcher on the CLAND project, exploring the zone between Nationally-Determined Contributions of Parties to the Paris Agreement, UNFCCC inventories in the sectors of Agriculture, Forestry and Land Use and scientific understanding of N2O emissions to propose practical land-based N2O mitigation strategies.
	Dr. Anna LUNGARSKA Anna is a postdoctoral fellow at UMR Economie Publique INRAE/AgroParisTech and her research is focused on climate change impacts on agriculture, the possible adaptation of farmers, and the resulting effects in terms of land use change. It involves also evaluating different public policies addressing major environmental issues related to water pollution and climate change mitigation. The empirical studies are based on econometric models combining data from statistics and mathematical programming models. Within CLAND, her current activity is to 1) explore the effects of climate and land use change on ecosystem services in France; 2) assess the effects of reducing by half the quantity of mineral nitrogen used by European union farmers in terms of agricultural production, pollution, carbon storage, and biodiversity. See her ResearchGate profile.
	Mr. Corentin PINSARD Corentin is a PhD student, developing a modelling framework to assess the resilience of farming systems across Europe, at INRA, SAD APT research unit. As part of Cland project, in the challenge 2, he will find ecological production functions at French and European scale from actual data and then assess the supply of ecosystem services in different scenarios of land use change and climate change.
	Dr. Chunjing QIU Chunjing is a postdoc at INRAE and LSCE. She is working on modeling of peatland hydrological and carbon dynamics with the ORCHIDEE land surface model. Under the CLAND project, she will model carbon sequestrations by intact peatlands and carbon emissions due to agricultural use of peatlands, to assess the role of peatlands in the global carbon cycle and in climate change mitigation.  See her ResearchGate profile.
	Mr. Yong SHI Yong Shi has a background in mathematical modeling and optimization. His research interests mainly focus on combinatorial optimization, evolution computing, and their applications. Yong will apply his computational skills to the optimization of land cover and land use in Europe for addressing trade-offs and synergies between ecosystem services under climate change scenarios.
	Mr. Yang SU Yang Su is a PhD student at UMR ECOSYS, INRA / AgroParisTech, currently he works on the environmental and agronomical impacts of land-based climate change mitigation measures under climate change trend through deep learning approaches such as random forests and deep neural network (DNN) algorithm. For more details about him, please visit his LinkedIn Profile.
	Ms. Yitong YAO Yitong is a PhD student project on "modelling interactions between drought and nutrients in forest and their impacts on forest productivity and tree mortality". Her current work focuses on improving the plant hydraulics architecture in ORCHIDEE-CAN and better predicting the tree mortality with loss of water conductivity from the improved model.