ViWa relevante Publikationen des ViWa Verbundpartner

Rittmüller, E. (VISTA Remote Sensing in Geosciences GmbH | Germany): Virtual Water Values – High resolution remote sensing based monitoring system for agricultural water use efficiency. Living Planet Symposium 202 (25.05.2022).

Calzadilla, A., Delzeit, R., G. Klepper (2014): DART-BIO: Modelling the interplay of food, feed and fuels in a global CGE Model. Kiel Working Paper 1896, Kiel Institute for the World Economy, 47p. 

Calzadilla, A., Rehdanz, K., Tol, R. (2010): The economic impact of more sustainable water use in agriculture: a CGE analysis. In: Journal of Hydrology, 292-305.

Hank, T. B.: A Biophysically Based Coupled Model Approach For the Assessment of Canopy Processes Under Climate Change Conditions, Ludwig-Maximilians-Universität, (2008).

Hank, T. et al. (2012): Improving the process‐based simulation of growth heterogeneities in agricultural stands through assimilation of earth observation data. International Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International.  1006-1009.

Hank, T.; Bach, H.; Mauser, W. (2015): Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe, Remote Sensing, 7(4), 3934-3965. 

Kumar, R., L. Samaniego, and S. Attinger (2013): Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations, Water Resour. Res., 49, doi:10.1029/2012WR012195.

Mauser, W., Klepper, G., Rice, M., Schmalzbauer, B., Hackmann, H., Leemans, R., Moore, H. (2013): Transdisciplinary global change research: the co-creation of knowledge for sustainability, COSUST,

Mauser, W. & Bach, H.: PROMET – Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds. Journal of Hydrology 376, 362-377, doi:DOI: 10.1016/j.jhydrol.2009.07.046 (2009). 

Mauser, W., Klepper, G., Zabel, F., Delzeit, R., Hank, T.,Calzadilla, A. (2015): Global biomass production potentials exceed expected future demand without the need for cropland expansion, Nature Commun. 6:8946; doi: 10.1038/ncomms9946 (2015)

Mauser, W. and Prasch, M. (Eds.) (2015): Regional Assessment of Global Change Impacts. The Project GLOWA-Danube, Springer, ISBN 978-3-319-16750-3 

Mauser, W., Bach, H., Hank, T., Zabel, F., Putzenlechner, B. (2012): How spectroscopy from space will support world agriculture. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7321-7324. 

Samaniego L., R. Kumar, S. Attinger (2010): Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour. Res., 46,W05523, doi:10.1029/2008WR007327.

Zabel, F., Putzenlechner, B., Mauser, W. (2014): Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions , PLOS ONE, 9(9), doi: 10.1371/journal.pone.0107522