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Green infrastructure has acquired greater importance in recent years in relation to climate change adaptation. Green infrastructure planning has been identified as a new and innovative means of land planning that can contribute to preventing the impacts of climate change. However, this has been explored more thoroughly in urban areas than at the regional scale. The present study proposes a methodology including multi-criteria evaluation techniques for assessing the ESS involved in the fight against climate change and for the spatial planning of multifunctional green infrastructure areas based on the results of this assessment. Application of the methodology for green infrastructure planning aimed at confronting climate change at landscape level in the region of Galicia (NW Spain) successfully delimited multifunctional green infrastructure zones. Results show that delimited zones have a higher provision potential for more ESS than protected natural areas and areas that are not part of the green infrastructure.
Andrés García; Inés Santé; Xurxo Loureiro; David Miranda. Spatial Planning of Green Infrastructure for Mitigation and Adaptation to Climate Change at a Regional Scale. Sustainability 2020, 12, 10525 .
AMA StyleAndrés García, Inés Santé, Xurxo Loureiro, David Miranda. Spatial Planning of Green Infrastructure for Mitigation and Adaptation to Climate Change at a Regional Scale. Sustainability. 2020; 12 (24):10525.
Chicago/Turabian StyleAndrés García; Inés Santé; Xurxo Loureiro; David Miranda. 2020. "Spatial Planning of Green Infrastructure for Mitigation and Adaptation to Climate Change at a Regional Scale." Sustainability 12, no. 24: 10525.
Green Infrastructure (GI) is increasingly being adopted in land management as a way of ensuring provision of the ecosystem services (ESS) required for human well-being. As GI is a spatial concept, spatial planning methods must be applied in designing GI. Many studies have focused on designing certain GI zones or on planning a GI specifically considering one or a few ESS. However, studies on GI planning considering all types of ESS and different GI zones are scarce. This paper describes a methodology that addresses the holistic spatial planning of GI by considering the potential capacity of areas to provide all of the ESS assessed. Buffer zones and multifunctional zones were delineated by using a specific procedure for each zone at landscape scale. The spatial planning of buffer areas and multifunctional zones was based on the analysis of trade-offs between ESS and on the integration of synergic ESS by means of a multicriteria evaluation technique. The methodology was validated by application to the spatial planning of a GI in the region of Galicia at landscape level. Integration of the results of ESS assessment in a multifunctional GI makes land planning and management easier and ensures provision of all types of ESS.
Andrés M. García; Inés Santé; Xurxo Loureiro; David Miranda. Green infrastructure spatial planning considering ecosystem services assessment and trade-off analysis. Application at landscape scale in Galicia region (NW Spain). Ecosystem Services 2020, 43, 101115 .
AMA StyleAndrés M. García, Inés Santé, Xurxo Loureiro, David Miranda. Green infrastructure spatial planning considering ecosystem services assessment and trade-off analysis. Application at landscape scale in Galicia region (NW Spain). Ecosystem Services. 2020; 43 ():101115.
Chicago/Turabian StyleAndrés M. García; Inés Santé; Xurxo Loureiro; David Miranda. 2020. "Green infrastructure spatial planning considering ecosystem services assessment and trade-off analysis. Application at landscape scale in Galicia region (NW Spain)." Ecosystem Services 43, no. : 101115.
Cellular automata (CA) stand out among the most commonly used urban models for the simulation and analysis of urban growth because of their ability to reproduce complex dynamics, similar to those found in real cities, from simple rules. However, CA models still have to overcome some shortcomings related to their flexibility and difficult calibration. This study combines various techniques to calibrate an urban CA that is based on one of the most widely used urban CA models. First, the number of calibration parameters is reduced by using various statistical techniques, and, second, the calibration procedure is automated through a genetic algorithm. The resulting model has been assessed by simulating the urban growth of Ribadeo, a small village of NW Spain, characterized by low, slow urban growth, which makes the identification of urban dynamics and consequently the calibration of the model more difficult. Simulation results have shown that, by automating the calibration procedure, the model can be more easily applied and adapted to urban areas with different characteristics and dynamics. In addition, the simulations obtained with the proposed model show better values of cell-to-cell correspondence between simulated and real maps, and the values for most spatial metrics are closer to real ones.
A. M. García; Ines Sante; Marcos Boullón; R. Crecente. Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain. International Journal of Geographical Information Science 2013, 27, 1593 -1611.
AMA StyleA. M. García, Ines Sante, Marcos Boullón, R. Crecente. Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain. International Journal of Geographical Information Science. 2013; 27 (8):1593-1611.
Chicago/Turabian StyleA. M. García; Ines Sante; Marcos Boullón; R. Crecente. 2013. "Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain." International Journal of Geographical Information Science 27, no. 8: 1593-1611.
Urban growth models developed in the second half of the 20th century have allowed for a better understanding of the dynamics of urban growth. Among these models, cellular automata (CA) have become particularly relevant because of their ability to reproduce complex spatial and temporal dynamics at a global scale using local and simple rules. In the last three decades, many urban CA models that proved useful in the simulation of urban growth in large cities have been implemented. This paper analyzes the ability of some of the main urban CA models to simulate growth in a study area with different characteristics from those in which these models have been commonly applied, such as slow and low urban growth. The comparison of simulation results has allowed us to analyze the strengths and weaknesses of each model and to identify the models that are best suited to the characteristics of the study area. Results suggest that models which simulate several land uses can capture better land use dynamics in the study area but need more objective and reliable calibration methods.
Andrés M. García; Inés Santé; Marcos Boullón; Rafael Crecente. A comparative analysis of cellular automata models for simulation of small urban areas in Galicia, NW Spain. Computers, Environment and Urban Systems 2012, 36, 291 -301.
AMA StyleAndrés M. García, Inés Santé, Marcos Boullón, Rafael Crecente. A comparative analysis of cellular automata models for simulation of small urban areas in Galicia, NW Spain. Computers, Environment and Urban Systems. 2012; 36 (4):291-301.
Chicago/Turabian StyleAndrés M. García; Inés Santé; Marcos Boullón; Rafael Crecente. 2012. "A comparative analysis of cellular automata models for simulation of small urban areas in Galicia, NW Spain." Computers, Environment and Urban Systems 36, no. 4: 291-301.