Communicating spatial planning decisions at the landscape and farm level with landscape visualization

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dc.identifier.uri http://dx.doi.org/10.15488/1987
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2012
dc.contributor.author Warren-Kretzschmar, Bartlett
dc.contributor.author von Haaren, Christina
dc.date.accessioned 2017-10-10T07:24:39Z
dc.date.available 2017-10-10T07:24:39Z
dc.date.issued 2014
dc.identifier.citation Warren-Kretzschmar, Bartlett; Von Haaren, Christina: Communicating spatial planning decisions at the landscape and farm level with landscape visualization. In: Iforest - Biogeosciences and Forestry 7 (2014), S. 434-442. DOI: https://doi.org/10.3832/ifor1175-007
dc.description.abstract Landscape visualizations have the potential to support participatory environmental planning at different spatial scales and decision levels from international to farm level. However, it is yet unclear what specific demands are relevant for visualization on the different decision levels. In this context more knowledge is needed about visualization objectives and the respective tasks, intended effects and suitable techniques for the specific levels. Especially the farm level has been neglected in research, although farmers make many decisions that affects public interests in the visual landscape. Farmers need to communicate these decisions to the public in an understandable way. The question of how visualization can support participation in the planning process at the municipal level is examined by drawing on the findings of the Interactive Landscape Plan Koenigslutter, Germany (IALP) about the preferences and reactions of citizens to visualizations used in the landscape planning process at the local decision level. On this basis, we examined the applicability and differences of the findings for the farm level. Furthermore, in order to explore visualization opportunities at the farm scale, the farm management system MANUELA was used as an example of an information platform that could serve as a basis for farm scale visualizations. By transferring landscape planning results to the farm level, we developed recommentations about the application of visualization, intended effects and appropriate techniques at the farm scale. The general findings for the municipal level show that visualization can improve participation by providing participants with a common image of the planning proposals for discussion and collaborative decisions. Different visualization methods offer different capabilities for supporting participation in the different planning phases. At the farm scale, 2D visualizations and diagrams are often sufficient to communicate information to customers about farm performance for providing ecosystem services. They may consist of maps and supporting information that is easily generated from GIS data. However, for a higher (more interactive) level of communication and participation activities, such as discussions with affected neighbors about land use changes or the integration of citizens' proposals, more sophisticated visualization techniques would be required. Visualization techniques are needed that farmers can use to easily simulate visual impacts of land use changes at the landscape scale. eng
dc.language.iso eng
dc.publisher Potenza : Sisef-Soc Italiana Selvicoltura Ecol Forestale
dc.relation.ispartofseries Iforest - Biogeosciences and Forestry 7 (2014)
dc.rights CC BY-NC 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.subject landscape planning eng
dc.subject participatory planning eng
dc.subject landscape visualization eng
dc.subject farm scale eng
dc.subject ecosystem services eng
dc.subject manuela eng
dc.subject public-participation eng
dc.subject stakeholder participation eng
dc.subject climate-change eng
dc.subject management eng
dc.subject perceptions eng
dc.subject framework eng
dc.subject ethics eng
dc.subject design eng
dc.subject tools eng
dc.subject.ddc 570 | Biowissenschaften, Biologie ger
dc.title Communicating spatial planning decisions at the landscape and farm level with landscape visualization eng
dc.type article
dc.type Text
dc.relation.issn 1971-7458
dc.relation.doi https://doi.org/10.3832/ifor1175-007
dc.bibliographicCitation.volume 7
dc.bibliographicCitation.firstPage 434
dc.bibliographicCitation.lastPage 442
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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