Reinhard Prestele

TL;DR: It is concluded that improving the quality and consistency of observational data utilized in the modeling process and improving the allocation mechanisms of LULC change models remain important challenges.

TL;DR: A higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections, and it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate.

TL;DR: A campaign was run in June 2017, where participants were asked to visually interpret very high resolution satellite imagery from Google Maps and Bing using the Geo‐Wiki application, which produced the most accurate global field size map to date.

TL;DR: In this article, the authors discuss three major challenges of this current LULCC representation and their implications for land use-climate interaction studies: (i) providing consistent, harmonized, land-use time series spanning from historical reconstructions to future projections, (ii) accounting for sub-grid processes and bidirectional changes (gross changes) across spatial scales, and (iii) the allocation strategy of independent landuse data at the grid cell level in TBMs.

TL;DR: An approach to downscale present‐day national‐level estimates of CA to a 5 arcminute regular grid is presented, based on multicriteria analysis, that can be used in various ecosystem modeling applications and are expected to help identifying more realistic climate mitigation and adaptation potentials of agricultural practices.