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Displaying 1186 - 1190 of 1605Changes in land cover and vegetation carbon stocks in Andalusia, Southern Spain (1956–2007)
Land use has significantly changed during the recent decades at global and local scale, while the importance of ecosystems as sources/sinks of C has been highlighted, emphasizing the global impact of land use changes. Land use changes can increase C loss rates which are extremely difficult to reverse, in the short term, opposite to organic carbon (OC) which accumulates in soil in the long-term. The aim of this research is to improve and test methodologies to assess land cover change (LCC) dynamics and temporal and spatial variability in C stored in vegetation at a wide scale.
Application of Markov-chain model for vegetation restoration assessment at landslide areas caused by a catastrophic earthquake in Central Taiwan
The 921 earthquake caused a catastrophic disaster in Central Taiwan. Ten years have passed since the earthquake occurred. Vegetation succession is the basis for establishing a restoration reference which plays an important role in vegetation restoration at landslide sites. Generally, growth conditions for grass are easier and the growth rate is faster than that for trees. Therefore, grass can be considered a pioneer species or an important reference for the early vegetation succession stage. This is the reason why grass is required to be extracted from other land covers.
Indicators for sustainable land use management in Santiago de Chile
Indicators are helpful tools for land use management; especially in the context of sustainable urban development, they are indispensable information bases for decision making, communication, and awareness rising. For Santiago de Chile, like many other large and dynamic cities, a high complexity of geographical conditions, social and land use pattern, diverging interests, and a high velocity of development are characteristic.
Nitrate transport modeling to evaluate source water protection scenarios for a municipal well in an agricultural area
Fertilizers that are spread on agricultural fields can leach into aquifers and contaminate groundwater sources for drinking water particularly with nitrate. Modeling this phenomenon can help in evaluating the impact of current or future agricultural practices on nitrate content within an aquifer. The three-dimensional Water flow and Nitrate transport Global Model (WNGM), that was previously developed and applied to a well-capture zone, is actually used to simulate future land management scenarios over the same zone.
Modeling urban land use change by the integration of cellular automaton and Markov model
Spatially land use models are indispensable for sustainable land use planning. This study demonstrates a combined Markov–Cellular Automata model to analyze temporal change and spatial distribution of land use stressed by natural and socioeconomic factors in Saga, Japan. Firstly, area change and spatial distribution of land use are calculated using GIS technology, and then the transition among different land use types is analyzed to obtain the transformation matrices during a period of 1976–2006.