AI Article Synopsis
- The paper introduces a new model called Dynamics of Land Systems (DLS) that integrates various data sources to simulate land system dynamics.
- DLS includes three key modules: a spatial regression module to study relationships between land uses and their influencing factors, a scenario analysis module to examine land use changes over time, and a spatial disaggregation module for detailed allocation of these changes.
- A case study in Taips County, North China, demonstrates the model's capabilities and the simulation results provide insights into land system dynamics and future land use planning.
Article Abstract
In this paper we present and develop a new model, which we have calledDynamics of Land Systems (DLS). The DLS model is capable of integrating multiple datasources to simulate the dynamics of a land system. Three main modules are incorporatedin DLS: a spatial regression module, to explore the relationship between land uses andinfluencing factors, a scenario analysis module of the land uses of a region during thesimulation period and a spatial disaggregation module, to allocate land use changes froma regional level to disaggregated grid cells. A case study on Taips County in North Chinais incorporated in this paper to test the functionality of DLS. The simulation results underthe baseline, economic priority and environmental scenarios help to understand the landsystem dynamics and project near future land-use trajectories of a region, in order tofocus management decisions on land uses and land use planning.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927519 | PMC |
| http://dx.doi.org/10.3390/s8020620 | DOI Listing |
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