@article{BoehnkeKrehlMoermannetal.2022, author = {B{\"o}hnke, Denise and Krehl, Alice and Moermann, Kai and Volk, Rebekka and L{\"u}tzkendorf, Thomas and Naber, Elias and Becker, Ronja and Norra, Stefan}, title = {Mapping urban green and its ecosystem services at microscale-a methodological approach for climate adaptation and biodiversity}, series = {Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)}, volume = {14}, journal = {Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)}, number = {15}, publisher = {MDPI}, address = {Basel}, issn = {2071-1050}, doi = {10.3390/su14159029}, pages = {26}, year = {2022}, abstract = {The current awareness of the high importance of urban green leads to a stronger need for tools to comprehensively represent urban green and its benefits. A common scientific approach is the development of urban ecosystem services (UES) based on remote sensing methods at the city or district level. Urban planning, however, requires fine-grained data that match local management practices. Hence, this study linked local biotope and tree mapping methods to the concept of ecosystem services. The methodology was tested in an inner-city district in SW Germany, comparing publicly accessible areas and non-accessible courtyards. The results provide area-specific [m(2)] information on the green inventory at the microscale, whereas derived stock and UES indicators form the basis for comparative analyses regarding climate adaptation and biodiversity. In the case study, there are ten times more micro-scale green spaces in private courtyards than in the public space, as well as twice as many trees. The approach transfers a scientific concept into municipal planning practice, enables the quantitative assessment of urban green at the microscale and illustrates the importance for green stock data in private areas to enhance decision support in urban development. Different aspects concerning data collection and data availability are critically discussed.}, language = {en} }