A thorough understanding of land-use selleck chemicals Wortmannin dynamics is necessary for www.selleckchem.com/products/Roscovitine.html reconstructing past land-use/land cover changes and for predicting future changes, and, thus, may elucidate sustainable management practices aimed at preserving essential landscape functions [7, 8] and natural resources. Land-use change models have been developed to delineate land-use driving factors that influence land-use changes, and precisely predict land-use change patterns and variations in space and time. Different land-use change models, such as stochastic models, optimization models, Inhibitors,Modulators,Libraries dynamic process-based simulation models and empirical models, have been used to explore land-use changes [9].
The SLEUTH model is a bottom-up computational simulation model that uses adaptive cellular automata to simulate the manner in which cities grow and change their surrounding Inhibitors,Modulators,Libraries land [10].
Another model is the CLUE-s model, which is a top-down model that simulates land-use change using empirical quantified relationships between land use and its driving factors in combination with dynamic modeling [11]. Both models have been successful applied in many land-use change modeling cases [1, 8, 10-21].When land-use change resulting in land-use/cover pattern changes Inhibitors,Modulators,Libraries is assessed, composition, configuration, and connectivity are primary descriptors of the landscape or land-use Inhibitors,Modulators,Libraries patterns [21, 22]. The composition, configuration and connectivity of land-use/cover Inhibitors,Modulators,Libraries Inhibitors,Modulators,Libraries patterns can be quantified using spatial landscape metrics that characterize and quantify land-use/cover composition and configuration [21].
Moreover, these metrics can be applied as improved representations of spatial urban characteristics Inhibitors,Modulators,Libraries and result in enhanced interpretations of modeling results [3] and remote-sensing historical land-uses. These metrics can include the number of patches, area, patch shape, Cilengitide total edge of patches, nearest-neighbor distance, landscape diversity, interspersion and contagion metrics in representing land-use/cover patterns, including compositions and configurations. Moreover, landscape metrics are also useful as an initial approximation of broad-level landscape patterns and processes, and for characterizing differences among planned and design alternatives, Inhibitors,Modulators,Libraries and have been recommended as an appropriate tool for land-use planning and design [21, 23, 24].
Hydrological models provide a framework for conceptualizing and investigating relationships between climate, human activities (e.g., land-use change) and water resources [25] and have been applied AV-951 for http://www.selleckchem.com/products/azd9291.html quantifying the impact of land-use change on hydrologic components [26]. Therefore, hydrological models are a useful means of assessing the effects selleck 17-AAG of changes in land-use patterns resulting from policy decisions, economic incentives or economic structural changes [27].