Landscape ecology, land-use structure, and population density: Case study of the Columbus Metropolitan Area

2012 ◽  
Vol 105 (1-2) ◽  
pp. 74-85 ◽  
Author(s):  
Jia Lu ◽  
Jean-Michel Guldmann
GeoJournal ◽  
1994 ◽  
Vol 32 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Ivan Bičík ◽  
Vít Štěpánek
Keyword(s):  
Land Use ◽  

2020 ◽  
Author(s):  
Gara Villalba ◽  
Sergi Ventura ◽  
Joan Gilabert ◽  
Alberto Martilli ◽  
Alba Badia

<p>Currently, around 54% of the world's population is living in urban areas and this number is projected to increase by 66% by 2050. In the past years, cities have been experiencing heat wave episodes that affect the population. As the modern urban landscape is continually evolving, with green spaces and parks becoming a more integral component and with suburbs expanding outward from city centres into previously rural, agricultural, and natural areas, we need tools to learn how to best implement planning strategies that minimize heat waves.  In this study we use the Weather and Research Forecasting model (WRF) with a multi-layer layer scheme, the Building Effect Parameterization (BEP) coupled with the Building Energy Model (BEP+BEM, Salamanca and Martilli, 2010) to take into account the energy consumption of buildings and anthropogenic heat generated by air conditioning systems. The urban canopy scheme takes into account city morphology (e.g. building and street canyon geometry) and surface characteristics (e.g. albedo, heat capacity, emissivity, urban/vegetation fraction). The Community Land Surface Model (CLM) is used in WRF that uses 16 different plant functional types (PFTs) as the basis for land-use differentiation.  Furthermore, we use the Local Climate Zones (LCZ) classification which has 11 urban land use categories with specific thermal, radiative and geometric parameters of the buildings and ground to compute the heat and momentum fluxes in the urban areas.  The objective is to validate the model and establish relationships between urban morphology and land use with temperature, so that the model can be used to simulate land use scenarios to investigate the effectiveness of different mitigation strategies to lower urban temperatures during the summer months.</p><p> </p><p>We test the methods with the Metropolitan Area of Barcelona (AMB) as a case study. The AMB is representative of the Mediterranean climate, with mild winters and hot summers. With a heterogeneous urban landscape, the AMB covers 636 km<sup>2 </sup>(34% built, 23% agricultural, and 31% vegetation) and has more than five million habitants. We simulate the heat wave that occurred in August 2018, during which temperatures stayed between 30 and 40ºC for five consecutive days and compare results with observed data from five different weather stations. We then simulate a potential scenario changing land surface from built to vegetation, in accordance with Barcelona´s strategic climate plan, and the potential impact the land use change has on reducing heat wave episodes.</p>


2012 ◽  
Vol 518-523 ◽  
pp. 6069-6074 ◽  
Author(s):  
Hai Meng Liu ◽  
Pei Ji Shi ◽  
Ming Hui Sun

Land use structure optimization is the core of land use planning, which has significant influence to the carbon cycle in terrestrial ecosystems. In this paper, we put Lanzhou as case study, to realize the land ecosystem carbon balance is the breakthrough point, using the method of fuzzy linear programming, constructing model from carbon source and carbon sink, trying to put forward a new approach to optimize the land use structure. Contrast with the former planning with the optimization scheme based on carbon balance, carbon stock volume and carbon emissions of the year 2005 and 2020 are evaluated .We got a low carbon optimization scheme of land use planning finally. The results of the study show that the objective to make carbon storage maximization and to make carbon emissions minimization is consistent and the two optimizing schemes have dramatically beneficial effect on increase carbon sink and reduce carbon source, which can slow down carbon emissions in terrestrial ecosystems and realize the rational utilization of land resources and the sustainable development.


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