Mapping provisioning ecosystem services at the local scale using data of varying spatial and temporal resolution
- authored by
- Marion Kandziora, Benjamin Burkhard, Felix Müller
- Abstract
Spatial data on land use and land cover (LULC) are broadly available on different scales and are used widely for mapping ecosystem services as LULC and their changes impact on the provision of multiple ecosystem services. Here four spatial data sets were compared for their practicability as input data for the LULC based assessment method in the Bornhöved Lakes study area. The results for this 60. km2 study area are that more detailed land use information (ATKIS and a combined ATKIS/InVeKoS/Landsat data set) is preferred to CORINE land cover data due to the possibility of including spatial details (e.g. number of LULC classes and crop information) in the assessment of provisioning ecosystem services. The CORINE data set overestimated the supply of the two analyzed provisioning services crops and fodder in comparison to the combined data set which revealed information on the specific crops, making quantification with statistical information on yields easier. Spatial input data quality has an effect on the resulting provisioning service maps and quantifications of ecosystem services in the study area due to the identification/omission of ecosystem services, their extent and change. Consequently they also influence decision-making and the development of the ecosystem services concept in the future.
- External Organisation(s)
-
Kiel University
- Type
- Article
- Journal
- Ecosystem Services
- Volume
- 4
- Pages
- 47-59
- No. of pages
- 13
- ISSN
- 2212-0416
- Publication date
- 06.2013
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Global and Planetary Change, Geography, Planning and Development, Ecology, Agricultural and Biological Sciences (miscellaneous), Nature and Landscape Conservation, Management, Monitoring, Policy and Law
- Sustainable Development Goals
- SDG 15 - Life on Land
- Electronic version(s)
-
https://doi.org/10.1016/j.ecoser.2013.04.001 (Access:
Unknown)
