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Information flow in the CLUE-S /Dyna-CLUE model (overview) [9] The Dyna-CLUE (dynamic conversion of land use and its effects) model is the adapted 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 specification of conversions for specific land-use alterations.
In LEAM, a region is represented as a 30x30-meter cell grid. A discrete-choice model controls whether land use in each grid cell is transformed from its present state to a new state (residential, commercial, or industrial use) in a particular time step. Several factors, or drivers, go into determining the likelihood of land use change. Drivers ...
Land change modeling has a variety of implementation opportunities in many science and practice disciplines, such as in decision-making, policy, and in real-world application in public and private domains. Land change modeling is a key component of land change science, which uses LCMs to assess long-term outcomes for land cover and climate. The ...
The land-use sector is critical to achieving the aim of the Paris Agreement to limit global warming to 2 °C (3.6 °F). [18] Land-use change alters not just atmospheric CO 2 concentration but also land surface biophysics such as albedo and evapotranspiration, both of which affect climate. [19] The impact of land-use change on the climate is ...
The process of land use planning developed putting into consideration those aspects, allows the identification, location and evaluation of areas exposed to natural phenomena, which allows the implementation of measures that guarantee risk mitigation. Good land use planning positively impacts the development of urban economy. [9]
Land-use change is fundamental to the operations of the biosphere because alterations in the relative proportions of land dedicated to urbanisation, agriculture, forest, woodland, grassland and pasture have a marked effect on the global water, carbon and nitrogen biogeochemical cycles and this can negatively impact both natural and human ...
“The world is moving to build out a new infrastructure of energy, land use, chips, data centers, data, AI models, and AI systems for the 21st century economy,” the post said.
The rapid decline of the Aral Sea is an example how local-scale land use and land change can have compounded impacts on regional climate systems, particularly when human activities heavily disrupt natural climatic cycles, how land change science can be used to map and study such changes. [38]