LUMASS is designed to provide support for two high level aspects of land management: i) land use impact assessment and ii) spatial planning. The former aspect is supported by its spatial system dynamics modelling framework and the latter by its spatial optimisation framework
The Land Use Management Support System (LUMASS) was developed by Alexander Herzig of Landcare Research it is a free and open source software. LUMASS is designed to provide support for two high level aspects of land management: i) land use impact assessment and ii) spatial planning. The former aspect is supported by its spatial system dynamics modelling framework and the latter by its spatial optimisation framework.
The Spatial optimisation framework has applications which relate to future planning and policy development including but not limited to; exploring environmental, economic and social limits in a scenario, identifying trade-offs between conflicting objectives & exploring landscape development potentials.
The model processes and displays raster data for spatial land management purposes. It can also display (polygon) vector data and 3D point clouds which can in some cases be used in spatial optimisation. The model uses a graphical user interface with context menus for different tasks such as Map view, Model View & Map layers.
Latest Version | LUMASS 0.9.57 |
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State of Development | Released and updated |
Current Development Activity | Ongoing |
Outcome Areas | Environmental |
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Management Domains | Ecosystem Services, Land, Freshwater |
Intended End Users |
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Steady State or Dynamic | Unknown |
Key Input Data | Land Use soil, type, land quality, property boundaries |
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Output Data Formats | GIS Compatible Files |
Open/Closed Source | Open Source |
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Licence Type | No Licence |
Operating Systems | MS Windows |
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Software Needed | ArcGIS, ArcObjects, ArcMaps, lp_solve |
User Interface | Graphical desktop |
Ease of Use | Moderate Requires some knowledge about multi-objective optimisation |
Use in Policy Process | Plan (Policy Formulation), Review (Issue Identification) |
Documentation | Downloads and User Guides available from LUMASS Wiki |
Users Forum | https://groups.google.com/forum/#!forum/lumass-users |
Analytical Techniques | Spatial Dynamics |
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Model Structure |
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Keywords | Spatially explicit system dynamics, Land systems modelling, Spatial optimisation, Integrated modelling framework, LUMASS |
Links | LUMASS Wiki Page |
Key References | Herzig A, Ausseil A-GE, Dymond JR 2013. Spatial optimisation of ecosystem services. In Dymond JR ed. Ecosystem services in New Zealand – conditions and trends. Manaaki Whenua Press, Lincoln, New Zealand. http://tinyurl.com/y7vyqcao Herzig A, Rutledge D 2013. Integrated Land Systems Modelling and Optimisation. In Piantadosi J, Anderssen RS, Boland J (eds.) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 880-886. http://www.mssanz.org.au/modsim2013/C8/herzig.pdf Herzig A, Ausseil A-GE, Dymond JR 2013. Sensitivity of land-use pattern optimisation to variation in input data and constraints. In Piantadosi J, Anderssen RS, Boland J (eds.) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 1840-1846. http://www.mssanz.org.au/modsim2013/H12/herzig.pdf |
This study uses the New Zealand example of the Waitaki Catchment, an area with a strong economic dependency on agriculture, to provide and explore an example of the possibility of optimising land use to both enhance and develop ecosystem services whilst also maintaining economic returns.
Herzig, A., Dymond, J., Ausseil, A.-G., 2016. Exploring limits and trade-offs of irrigation and agricultural intensification in the Ruamahanga catchment, New Zealand. New Zealand journal of agricultural research Volume: 59 Issue 3 (2016) ISSN: 0028-8233 Online ISSN: 1175-8775 DOI: http://dx.doi.org/10.1080/00288233.2016.1183685
Optimising Land Use for Multiple Ecosystem Services Objectives: A Case Study in the Waitaki Catchment, New Zealand (2012)