Virtual Worlds—Real Decisions: Model- and Visualization-based Tools for Landscape Planning in Switzerland

Walz, Ariane; Gloor, Christian; Bebi, Peter; Fischlin, Andreas; Lange, Eckart; Nagel, Kai; Allgöwer, Britta

doi:10.1659/mrd.0965

Cited by 6 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sang et al (2008) successfully used landscape metrics and visual topology in the analysis of landscape preference. Modern approaches use fractal geometry (Hagerhall et al, 2004), neural network technology (Mougiakakou et al, 2005) and 3-D computer modelling (Walz et al, 2008) for landscape visualization and perception analyses.…”

Section: Integration Of Visual Landscapes and Ecological Landscapesmentioning

confidence: 99%

Future options in landscape ecology: development and research

Mander

2009

Progress in Physical Geography: Earth and Environment

View full text Add to dashboard Cite

The aim of this brief overview is to highlight some new and promising research fields in landscape ecology, which is essentially an interdisciplinary field of study. We also analyse the development of some classical branches of landscape ecology regarding pattern and process relationships at broad spatial and temporal scales, such as landscape metrics, the influence of anthropogenic factors and global climate change on landscape development, the fragmentation of ecosystems and disturbances of populations, and material and energy cycling in and between ecosystems.

show abstract

Section: Integration Of Visual Landscapes and Ecological Landscapesmentioning

confidence: 99%

Future options in landscape ecology: development and research

Mander

2009

Progress in Physical Geography: Earth and Environment

View full text Add to dashboard Cite

show abstract

“…Because spatial and agricultural planning deals with ever more complex problems, and modeling orders and systematizes this complexity, simulation models considered to have great future potentials. Simulation models that predict complex developments and thus can provide decision support are rated to be important future planning instruments—providing additional information, objectifying the decision processes, and making them more transparent …”

Section: Introductionmentioning

confidence: 99%

An integrated and dynamic approach to agricultural land‐use change modeling at country‐level to regional scale: Application to Iran

Mesgari

Jabalameli

2018

Systems Engineering

View full text Add to dashboard Cite

Agricultural land use change is the result of interactions between different driving factors and processes at different scales. Most of models have been proposed for the land use change simulations only consider the suitability of lands and spatial competition between different land uses at microscales. But agricultural land use projection involves assessment of macro-level socioeconomic variables and driving forces. This paper suggests a dynamic modeling approach that integrates demand-driven changes in agricultural land area at macro-level with spatially explicit distribution processes at regional-scale. This approach is based on combination of two core models with dynamic top-down and bottom-up feedback loops between them, dynamic simulation model, and land use change (LUC) model. Without the spatial considerations, the dynamic model is used to project the agricultural land demands influenced by economic, demographic, technologic, and regulatory variables and their interactions at country-level. In addition, LUC model is used to simulate the downscaling of these demands between country regions based on spatial consideration of land suitability, change elasticity, spatial policies and restrictions, and competitive advantage of agriculture. Sensitivity analysis and empirical validation indicated the reliability and capability of the model for addressing the complexity of current agricultural land use changes and for investigating long-term scenarios in the future. Finally, the model is used to explore the future dynamics of Iran agricultural land use during 2015-2040 with eight-year pace. The simulation results forIran show that the water availability is the most determining factor in the distribution of agricultural lands in a way that a continuing downward trend in agriculture land areas will occur in east and northeast, as well as an upward trend in north and southwest regions of the country. The outcome of this study enhances our capacity to consider approaches from different disciplines in an integrated framework for LUC modeling and provide a decision support tool for land use planning, policy making, and managements of agricultural sector. K E Y W O R D Sagricultural area, integrated modeling, Iran, land use change, simulation model INTRODUCTIONAgricultural development is very important and also is the basis of human survival, due to their consequences for food security and environmental sustainability. 1,2 Therefore, an appropriate insight into the future developments of the agricultural sector is significantly important for both whole society and policy makers. 3 Because spatial and agricultural planning deals with ever more complex problems, and modeling orders and systematizes this complexity, simulation models considered to have great future potentials. Simulation models that predict complex developments and thus can provide decision support are rated to be important future planning instruments-providing additional information, objectifying the decision processes, and making them more transparent. 4 ...

show abstract

“…In fragile mountain ecosystems (Borsdorf and Braun 2008;Messerli 2012: S60;Grover et al 2015) of urbanizing valleys, this is of particular importance (Walz et al 2008;von der Dunk et al 2011) because conversion of arable land into built-up areas severely affects farmers' incomes and the local production of food; in tropical Andean countries (Sarmiento 2008;Saravia et al 2013), these negative impacts are increased by social inequalities between smallholders and land use policy-makers.…”

Section: Introductionmentioning

confidence: 99%

Development of a Participatory Method for Capturing Preferences of Andean Smallholders Regarding Urbanization

Haller

Einsiedler²

2015

Mountain Research and Development

View full text Add to dashboard Cite

Virtual Worlds—Real Decisions: Model- and Visualization-based Tools for Landscape Planning in Switzerland

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 6 publications

References 0 publications

Future options in landscape ecology: development and research

Future options in landscape ecology: development and research

An integrated and dynamic approach to agricultural land‐use change modeling at country‐level to regional scale: Application to Iran

Development of a Participatory Method for Capturing Preferences of Andean Smallholders Regarding Urbanization

Contact Info

Product

Resources

About