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Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems

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ABSTRACT

In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning.

No MeSH data available.


Modeling framework of DLS.
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f1-sensors-08-00620: Modeling framework of DLS.

Mentions: Given the complexity of land systems, which is determined and represented by the interactions between land and land users, DLS, at the very top level, integrates five dimensions of influencing factors – variability of geophysical conditions, environmental changes, trade environment changes, institutional changes and policies closely related with land management (Figure 1). At the bottom level, parameters identifying the technical changes, lifestyle changes, economic growth, population growth and urbanization are also incorporated in the model framework of DLS. Besides, scenarios of land use changes are developed and the changes of land uses are spatially disaggregated into each grid cell in accordance with the estimated relationships between land uses and their influencing factors. DLS is implemented as a user friendly software tool which provides users with options to define land use change scenarios and format the input parameters and edit the regression results between land uses and their influencing factors by including a shell with menu bars, view windows, etc. (Figure 1)


Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems
Modeling framework of DLS.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927519&req=5

f1-sensors-08-00620: Modeling framework of DLS.
Mentions: Given the complexity of land systems, which is determined and represented by the interactions between land and land users, DLS, at the very top level, integrates five dimensions of influencing factors – variability of geophysical conditions, environmental changes, trade environment changes, institutional changes and policies closely related with land management (Figure 1). At the bottom level, parameters identifying the technical changes, lifestyle changes, economic growth, population growth and urbanization are also incorporated in the model framework of DLS. Besides, scenarios of land use changes are developed and the changes of land uses are spatially disaggregated into each grid cell in accordance with the estimated relationships between land uses and their influencing factors. DLS is implemented as a user friendly software tool which provides users with options to define land use change scenarios and format the input parameters and edit the regression results between land uses and their influencing factors by including a shell with menu bars, view windows, etc. (Figure 1)

View Article: PubMed Central - PubMed

ABSTRACT

In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning.

No MeSH data available.