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Agriculture

Scientists you may contact

lotze.jpg Hermann Lotze-Campen Co-Chair RD2, Global land use and agricultural sector modelling; Multi-sector modelling of climate change impacts and adaptation options; Global-regional integration; Synergies between adaptation and mitigation
fwechsung Frank Wechsung Senior Scientist, Modeling of climate change impact on crops at regional scale
 Christoph Müller Senior Scientist, Speaker of the PIK flagship project "Multi-sectoral impacts and climate extremes", and of the cross-cutting activity "Global-Regional Integration of Impact Studies". Process-based modeling of biogeochemical cycles, land-use dynamics and agricultural systems, LPJmL expertise
rolli.jpeg Susanne Rolinski Senior Scientist, Identification and characterization of managed grasslands, biogeochemical cycles in aquatic and terrestrial ecosystems, modelling expertise with the model LPJmL
bbodirsky Benjamin Bodirsky PostDoc, Long-term scenario elaboration of the land-use sector based on the MAgPIE model, in particular the global nitrogen cycle and greenhouse gas emissions from agriculture and land-use change
abiewald Anne Biewald Senior Scientist, International trade of agricultural goods based on the MAgPIE model, water management, virtual water, climate smart agriculture and economics of adaptation
Christoph Gornott PhD Student, Assessment of regional crop yields in Tanzania and Germany comparing different approaches (IRMA, SWIM)

Models:

MAgPIE - Model of Agricultural Production and its Impact on the Environment is a global land and water use model. It provides, in connection with the dynamic global vegetation and hydrology model LPJmL, a consistent link between economic development, food and energy demand in different world regions with spatially explicit patterns of production, land use change and water constraints. As an economic optimisation model, MAgPIE is applied to derive economic values (rents) of land and water resources used in agricultural production.

IRMA - Integrated Regional Model Approach is a statistical strategy to simulate yield changes of crops by linking them to changes of weather parameters to assess the combined effects of regional climate change and agricultural

LPJmL - Lund-Potsdam-Jena managed Land Dynamic Global Vegetation, Agriculture and Water Balance Model is a dynamic global simulation model of vegetation biogeography, vegetation/soil biogeochemistry and agricultural production systems. Taking climate, soil and atmospheric information as input, it dynamically computes spatially explicit transient vegetation composition in terms of plant functional groups, and their associated carbon and water budgets.

Projects:

VOLANTE

NaWaMa

KULUNDA

GLUES

MACSUR

CC-LandStraD

Guanting

Trans-SEC

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