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

Bartlett Warren-Kretzschmar   , Christina Von Haaren

iForest - Biogeosciences and Forestry, Volume 7, Issue 6, Pages 434-442 (2014)
doi: https://doi.org/10.3832/ifor1175-007
Published: May 19, 2014 - Copyright © 2014 SISEF

Research Articles

Collection/Special Issue: RegioResources21
Spatial information and participation of socio-ecological systems: experiences, tools and lessons learned for land-use planning
Guest Editors: Daniele La Rosa, Carsten Lorz, Hannes Jochen König, Christine Fürst


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 in this paper 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.

  Keywords


Landscape Planning, Participatory Planning, Landscape Visualization, Farm Scale, Ecosystem Services, MANUELA

Authors’ address

(1)
Bartlett Warren-Kretzschmar
Christina Von Haaren
Institute of Environmental Planning, Leibniz University Hannover, Herrenhäuser Str. 2, D-30419 Hannover (Germany)

Corresponding author

 
Bartlett Warren-Kretzschmar
barty.warren@usu.edu

Citation

Warren-Kretzschmar B, Von Haaren C (2014). Communicating spatial planning decisions at the landscape and farm level with landscape visualization. iForest 7: 434-442. - doi: 10.3832/ifor1175-007

Academic Editor

Marco Borghetti

Paper history

Received: Oct 31, 2013
Accepted: Apr 05, 2014

First online: May 19, 2014
Publication Date: Dec 01, 2014
Publication Time: 1.47 months

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List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Al-Kodmany K (1999)
Using Visualization Techniques for Enhancing Public Participation in Planning and Design: Process, Participation, and Evaluation. Landscape and Urban Planning 45 (1): 37-45.
CrossRef | Gscholar
(2)
Al-Kodmany K (2002)
Visualization Tools and Methods in Community Planning: From Freehand Sketches to Virtual Reality. Journal of Planning Literature 17 (2): 189-211.
CrossRef | Gscholar
(3)
Appleton K, Lovett A, Sünnenberg G, Dockerty T (2002)
Rural landscape visualization from GIS databases: A comparison of approaches, options and problems. Computers, Environment and Urban Systems 26: 141-162.
CrossRef | Gscholar
(4)
Arciniegas G, Janssen R (2012)
Spatial decision support for collaborative land use planning workshops. Landscape and Urban Planning 107 (3): 332-342.
CrossRef | Gscholar
(5)
Arnstein S (1969)
A ladder of citizen participation. Journal of the Royal Town Planning Institute 35 (4): 216-224.
Online | Gscholar
(6)
Bailey K, Grossardt T (2009)
Toward structured public involvement: justice, geography and collaborative geospatial/geovisual decision support systems. Annals of the Association of American Geographers 100 (1): 57-86.
CrossRef | Gscholar
(7)
Bishop ID, Lange E (2005)
Visualization in landscape and environmental planning. Technology and applications. Taylor & Francis, London, UK and New York, USA.
Online | Gscholar
(8)
Coconu L (2008)
Enhanced visualization of landscapes and environmental data with three-dimensional sketches. PhD thesis, Universität Konstanz, Switzerland, pp. 107.
Gscholar
(9)
Conrad E, Cassar L, Jone, M, Eiter S, Izaovicova Z, Barankova Z, Christie M, Fazey I (2011)
Rheotoric and Reporting of Public Participation in Landscape Policy. Journal of Environmental Policy and Planning 13 (1): 23-47.
CrossRef | Gscholar
(10)
DiBiase D, MacEachren AM, Krygier JB, Reeves C (1992)
Animation and the role of map design in scientific visualization. Cartography and Geographic Information Science 19 (4): 201-214.
CrossRef | Gscholar
(11)
Höppner C, Frick J, Buchecker M (2007)
Assessing psycho-social effects of participatory landscape planning. Landscape and Urban Planning 83 (2-3): 196-207.
CrossRef | Gscholar
(12)
IAP2 (2004)
IAP2 public participation spectrum. International Association for Public Partecipation, Wollongong, New South Wales, Australia, pp. 1.
Online | Gscholar
(13)
Kempa D (2012)
Bedingungen für den Einsatz einer Software für Naturschutzberatung und -dokumentation auf landwirtschaftlichen Betrieben [Requirements for the use of software in nature conservation planning and documentation on farms]. PhD thesis, Institute for Environmental Planning, Leibniz University Hannover, Germany, pp. 65. [in German]
Gscholar
(14)
Konisky DM, Beierle TC (2001)
Innovations in public participation and environmental decision making. Examples from the Great Lakes region. Society and Natural Resources 14: 815-826.
CrossRef | Gscholar
(15)
Lange E (2001)
The limits of realism: perceptions of virtual landscapes. Landscape Urban Planning 54: 163-182.
CrossRef | Gscholar
(16)
Langendorf R (2001)
Computer-aided visualization: possibilities for urban design, planning, and management. In: “Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools” (Brail RK, Klosterman RE eds). ESRI Press, Redlands, CA, pp. 309-359.
Gscholar
(17)
Lewis JL, Sheppard SRJ (2006)
Culture and communication: can landscape visualization improve forest management consultation with indigenous communities? Landscape and Urban Planning 77 (3): 291-313.
CrossRef | Gscholar
(18)
Luyet V, Schlaepfer R, Parlange MB, Buttler A (2012)
A framework to implement stakeholder participation in environmental projects. Journal of Environmental Management 111: 213-219.
CrossRef | Gscholar
(19)
MacEachren A (1994)
Some truths with maps: a primer on symbolization and design. Association of American Geographers, Washington, DC, USA, pp. 129.
Gscholar
(20)
Meitner MJ, Sheppard SRJ, Cavens D, Gandy R, Picard P, Harshaw H, Harrison D (2005)
The multiple roles of environmental data visualisation in evaluating alternative forest management strategies. Computers and Electronics in Agriculture 49: 192-205.
CrossRef | Gscholar
(21)
Nicholson-Cole SA (2005)
Representing climate change futures: a critique on the use of images for visual communication. Computers, Environment and Urban Systems 29: 255-273.
CrossRef | Gscholar
(22)
Pettit C, Bishop I, Sposito V, Aurambout JP, Sheth F (2012)
Developing a multi-scale visualisation framework for use in climate change response. Landscape Ecology 27: 487-508.
CrossRef | Gscholar
(23)
Reed MS (2008)
Stakeholder participation for environmental management: a literature review. Biological Conservation 141 (10): 2417-2431.
CrossRef | Gscholar
(24)
Reed MS, Graves A, Dandy N, Posthumus H, Hubacek K, Morris J (2009)
Who’s in and why? A typology of stakeholder analysis methods for natural resource management. Journal of Environmental Management 90 (5): 1933-1949.
CrossRef | Gscholar
(25)
Salter JD, Campbell C, Journeay M, Sheppard SRJ (2009)
The digital workshop: exploring the use of interactive and immersive visualisation tools in participatory planning. Journal of Environmental Management 90: 2090-2101.
CrossRef | Gscholar
(26)
Schroth O (2010)
From information to participation. Interactive landscape visualization as a tool for collaborative planning. University Press, Swiss Federal Institute of Technology, Zurich, Switzerland, pp. 224.
Gscholar
(27)
Schroth O, Wissen U, Schmid WA (2006)
Developing new images of rurality: interactive 3D visualisations for participative landscape planning workshops in the Entlebuch UNESCO biosphere reserve. disP - The Planning Review 42 (166): 26-34.
CrossRef | Gscholar
(28)
Schroth O, Hayek UW, Lange E, Sheppard SRJ, Schmid WA (2011)
Multiple-case study of landscape visualizations as a tool in transdisciplinary planning workshops. Landscape Journal 30 (1): 53-71.
CrossRef | Gscholar
(29)
Shaw A, Sheppard S, Burch S, Flanders D, Wiek A, Carmichael J, Robinson J, Cohen S (2009)
Making local futures tangible’€‚Synthesizing, downscaling, and visualizing climate change scenarios for participatory capacity building. Global Environmental Change 19 (4): 447-463.
CrossRef | Gscholar
(30)
Sheppard SRJ, Cizek P (2009)
The ethics of Google Earth: crossing thresholds from spatial data to landscape visualisation. Collaborative GIS for spatial decision support and visualization. Journal of Environmental Management 90 (6): 2102-2117.
CrossRef | Gscholar
(31)
Sheppard SR (2001)
Guidance for crystal ball gazers: developing a code of ethics for landscape visualization. Landscape and Urban Planning 54 (1-4): 183-199.
CrossRef | Gscholar
(32)
Sheppard SRJ (2005)
Landscape visualisation and climate change: the potential for influencing perceptions and behavior. Mitigation and adaptation strategies for climate change. Environmental Science and Policy 8 (6): 637-654.
CrossRef | Gscholar
(33)
Sheppard SRJ (2012)
Visualizing climate change - a guide to visual communication of climate change and developing local solutions. Routledge, London, UK, pp 511.
Gscholar
(34)
Soliva R, Hunziker M (2009)
Beyond the visual dimension: using ideal type narratives to analyse people’s assessments of landscape scenarios. Land Use Policy 26: 284-294.
CrossRef | Gscholar
(35)
Steinitz C (2010)
Landscape architecture into the 21st century - methods for digital techniques. In: “Digital Landscape Architecture 2010” (Buhmann E, Pietsch M, Kretzler E eds). Wichmann Verlag, VDE Verlag GmbH, Berlin and Offenbach, Germany, pp. 2-26.
Gscholar
(36)
Tress B, Tress G (2003)
Scenario visualisation for participatory landscape planning’a study from Denmark. Landscape and Urban Planning 64 (3): 161-178.
CrossRef | Gscholar
(37)
von Haaren C, Warren-Kretzschmar B (2006)
The interactive landscape plan: use and benefits of new technologies in landscape planning and discussion of the interactive landscape plan in Koenigslutter am Elm, Germany. Landscape Research 31:83-105
CrossRef | Gscholar
(38)
von Haaren C, Oppermann B, Friese KI, Hachmann R, Meiforth J, Neumann A, Tiedtke S, Warren-Kretzschmar B, Wolter FE (2005)
Interaktiver Landschaftsplan Königslutter am Elm [Interactive landscape plan Koenigslutter am Elm]. Naturschutz und Biologische Vielfalt 24, Bonn Bad Godesberg, Germany, pp. 269. [in German]
Gscholar
(39)
von Haaren C, Kempa D, Vogel K, Rüter S (2012)
Assessing biodiversity on the farm scale as basis for ecosystem service payments. Journal of Environmental Management 113: 40-50.
CrossRef | Gscholar
(40)
Warren-Kretzschmar B, Tiedtke S (2005)
What role does visualization play in communication with citizens? A field study from the interactive landscape plan. In: “Trends in Real-Time Landscape Visualization and Participation” (Buhmann E, Paar P, Bishop ID, Lange E eds). Herbert Wichmann Verlag, Heidelberg, Germany, pp. 156-167.
Gscholar
(41)
Warren-Kretzschmar B (2007)
Visualisierungen in der interaktiven Landschaftsplanung einsetzen: Spektrum der technischen Möglichkeiten und Anwendungesbeispiele [Using visualization in landscape planning: spectrum of technical opportunities and examples]. In: “Leitfäden zur interacktiven Landscaftsplanung [Guidelines for Interactive Planning]”. Bundesamt für Naturschutz, Bonn - Bad Godesberg, Germany, pp. 32. [in German]
Gscholar
(42)
Warren-Kretzschmar B (2011)
Visualization in landscape planning: choosing appropriate visualzation methods for public participation. PhD Thesis, Architektur und Landschaft, Leibniz Universität Hannover, Germany, pp. 293.
Online | Gscholar
(43)
Wiedemann PM, Femers S (1993)
Public participation in waste management decision making: Analysis and management of conflicts. Journal of Hazardous Materials 33 (3): 355-368.
CrossRef | Gscholar
 

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