CLUE model
Draft
CLUE (Conversion of Land Use and its Effects) model is a spatially explicit land use change model developed to simulate future land use and land cover changes including urban expansion, deforestation, land abandonment, and agricultural intensification[1][2][3]. CLUE model is a dynamic modeling framework, simulate land use change based on quantification of biophysical and human drivers of land use conversion[1]. The CLUE model can apply on a national and continental scale with the application available for Central America, Ecuador, China, and Java, Indonesia[4]. CLUE model cannot be implemented in regional level[4]. Different version of CLUE model are CLUE-S[4], CLUE-Scanner[5], and Dyna-CLUE[6] models.
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CLUE-S
The CLUE model has been modified to CLUE-S (the Conversion of Land Use and its Effects at Small regional extent). Specifically, the CLUE-s model was developed for high-resolution spatial data and regional applications[7][8]. The model comprise of two different modules, spatial (land use allocation) and non-spatial (land use demand)[4].
Dyna-CLUE
Dyna-CLUE (Dynamic Conversion of Land Use and its Effects) model is the modified version of CLUE-s model, built upon the combination of the top-down approach of spatial allocation of land-use change and bottom-up approach of determination of conversions for specific land use transitions[6].
The difference between the CLUE-s and Dyna-CLUE models is in the allocation process. However, for both models, the allocation process is based on sets of conditions that are created by the different components including spatial policies and restrictions, land use conversion settings, land use demand, location characteristics.
Framework
Spatial policies and restrictions
The land-use change pattern is affected by the spatial policies and restrictions as well as land tenure. So, in order to simulate the land-use change, restricted areas, such as national parks should be applied in the model. In some cases, all land use conversions are banned and restricted, for others, a set of specific land use transition are restricted and some other changes are allowed [7].
Land use type conversion settings
Conversion settings are used to specify temporal dynamics that demonstrate the possibility of the land use one land use change to another one. In order to do so, two parameters should be considered including 1. conversion elasticity and 2. temporal characteristics and specific conversion
The conversion elasticity is used to show the degree to which the specific land use types can be converted to other types. Some land-use types could not be easily converted to another land use type due to high capital investment alongside high demands. On the other hand, some land-use types could be easily converted to another suitable land use type. In fact, conversion elasticity represents the reversibility of land use change, ranging between 0 to 1. Zero conversion elasticity shows the ability to be easily converted, while one means the change is irreversible. This number is estimated based on expert knowledge or evaluation of the recent past year of the behavior.
Temporal characteristics and specific conversion settings, specified in the conversion matrix, represent the following aspects. First, the matrix defines that the current land-use type can convert to what other land-use type. Second, it includes the region that a specific conversion is allowed to happen. Additionally, it shows the time which is needed for a land-use type at a specific location to stay the same type before conversion. It is worth mentioning that only maximum and minimum amounts of time would be specified in the conversion matrix[7].
Land use demand (requirements)
Land use demand demonstrates the required change in land use type, calculated at the aggregate level, which means considering the case study as a whole. Defining the required change in land use type leads to limiting the scope of the simulation. Calculation of and use demand is independent from the model and other approaches can be used for the calculations. Depending on the aim of the simulation, based on scenarios and case study characteristics, several methodology are available to calculate the land use demand including trends extrapolation and analysis of land-use change from the recent past to the near future[9][7].
Location characteristics
Location characteristics or land-use suitability are concerned with the location preference for a specific land-use change. The goal is to find locations with a high preference for a specific land-use change. Location preference is based on the interaction between different actors as well as the process of decision-making[7].
Location preference are calculated by the following formula[9]:
Rki = akX1i + bkX2i +...
where:
R- the preference to devote location i to land-use type k
ak, bk: relative impact of these characteristics on the preference for land-use type k
X1, 2,.. : biophysical or socio-economical characteristics
CLUE-Scanner
The CLUE-Scanner model is the Dyna-CLUE implementation in DMS software of ObjectVision[10].
References
- ^ a b Veldkamp, A.; Fresco, L. O. (1996-11-15). "CLUE-CR: An integrated multi-scale model to simulate land use change scenarios in Costa Rica". Ecological Modelling. 91 (1): 231–248. doi:10.1016/0304-3800(95)00158-1. ISSN 0304-3800.
- ^ Verburg, P. H.; de Koning, G. H. J.; Kok, K.; Veldkamp, A.; Bouma, J. (1999-03-01). "A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use". Ecological Modelling. 116 (1): 45–61. doi:10.1016/S0304-3800(98)00156-2. ISSN 0304-3800.
- ^ Verburg, P.H.; Overmars, K.P. (2007), Koomen, Eric; Stillwell, John; Bakema, Aldrik; Scholten, Henk J. (eds.), "Dynamic Simulation of Land-Use Change Trajectories with the Clue-S Model", Modelling Land-Use Change: Progress and Applications, The GeoJournal Library, Dordrecht: Springer Netherlands, pp. 321–337, doi:10.1007/978-1-4020-5648-2_18, ISBN 978-1-4020-5648-2, retrieved 2021-11-10
- ^ a b c d VERBURG, PETER H.; SOEPBOER, WELMOED; VELDKAMP, A.; LIMPIADA, RAMIL; ESPALDON, VICTORIA; MASTURA, SHARIFAH S.A. (2002-09-01). "Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model". Environmental Management. 30 (3): 391–405. doi:10.1007/s00267-002-2630-x. ISSN 1432-1009.
- ^ Lavalle, Carlo; Baranzelli, Claudia; e Silva, Filipe Batista; Mubareka, Sarah; Gomes, Carla Rocha; Koomen, Eric; Hilferink, Maarten (2011). Murgante, Beniamino; Gervasi, Osvaldo; Iglesias, Andrés; Taniar, David; Apduhan, Bernady O. (eds.). "A High Resolution Land Use/Cover Modelling Framework for Europe: Introducing the EU-ClueScanner100 Model". Computational Science and Its Applications - ICCSA 2011. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer: 60–75. doi:10.1007/978-3-642-21928-3_5. ISBN 978-3-642-21928-3.
- ^ a b Verburg, Peter H.; Overmars, Koen P. (2009-05-08). "Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model". Landscape Ecology. 24 (9): 1167. doi:10.1007/s10980-009-9355-7. ISSN 1572-9761.
- ^ a b c d e Verburg, P.H.; Overmars, K.P. (2007), Koomen, Eric; Stillwell, John; Bakema, Aldrik; Scholten, Henk J. (eds.), "Dynamic Simulation of Land-Use Change Trajectories with the Clue-S Model", Modelling Land-Use Change: Progress and Applications, The GeoJournal Library, Dordrecht: Springer Netherlands, pp. 321–337, doi:10.1007/978-1-4020-5648-2_18, ISBN 978-1-4020-5648-2, retrieved 2021-11-23
- ^ Verburg, Peter H.; Veldkamp, A. (2004-01-01). "Projecting land use transitions at forest fringes in the Philippines at two spatial scales". Landscape Ecology. 19 (1): 77–98. doi:10.1023/B:LAND.0000018370.57457.58. ISSN 1572-9761.
- ^ a b Verburg, Peter H.; Malek, Žiga; Goodwin, Sean P.; Zagaria, Cecilia (2021-09). "The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE". doi:10.18235/0003625.
{{cite journal}}: Check date values in:|date=(help); Cite journal requires|journal=(help) - ^ Institute for Environmental Studies (IVM). "CLUE model". Retrieved 2021-11-23.
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