The 2-D assessment of ES impacts of LULCC scenarios is meanwhile based on a valid set of indicators, including landscape metrics assessments (Frank et al., 2011, 2012; Fürst et al., 2013). However, some services depend strongly from 3-D structures within single ecosystems and the variation of such structures at the landscape scale (Stupariu et al., 2017). For instance, regulative forest ecosystem services are known to be highly reliant on the abundance of different crown layers and their properties (Goldberger and Bernhofer, 2001). Also other regulative and cultural services are highly impacted by 3-D structures (topography, vegetation, built environment). For instance, the often negative perception of wind power plants is due to their long distance visibility that can be experienced as a disturbance of the aesthetical quality of a landscape (Devine-Wright, 2005).
This flash talk presents some advances in the LULCC scenario simulation and assessment platform GISCAME. Our vision is to make stronger use of 3-D data sets such as LIDAR by implementing their data structure into scenario simulation tools through defining objects for redesigning landscapes. In combination with 3-D metrics, we expect advances in connecting better knowledge-based landscape design with its (perceived) impact on human well-being.
Frank, S., Fürst, C., Koschke, L. & Makeschin, F. (2013). Assessment of landscape aesthetics - validation of a landscape metrics-based assessment by visual estimation of the scenic beauty. Ecological Indicators, 32, 222-231.
Frank, S., Fürst, C., Koschke, L. & Makeschin, F. (2011). Towards the transfer of the ecosystem service concept to landscape planning using landscape metrics. Ecological Indicators, 21, 30-38.
Fürst, C., Frank, S., Witt, A., Koschke, L. & Makeschin, F. (2013). Assessment of the effects of forest land use strategies on the provision of Ecosystem Services at regional scale. Journal of Environmental Management, 127, 96-116.
Goldberg, V. & Bernhofer, C. (2001). Quantifying the coupling degree between land surface and the atmospheric boundary layer with the coupled vegetation-atmosphere model HIRVAC. In Annales Geophysicae, 19(5), 581-587.
Stupariu, I., Stupariu, M.S., Stoicescu, I., Peringer, A., Buttler, A. & Fürst, C. (2017). Integrating geo-biodiversity features in the analysis of landscape patterns. Ecological Indicators, 80, 363-375.