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Energy-Landscape Optimization for Land Use Planning. Application in the Barcelona Metropolitan Area

机译:土地利用规划能量景观优化。 在巴塞罗那大都市区的应用

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Rapid population growth and urban expansion in metropolitan areas have led to a dramatic increase in food demand. In most cases, urban sprawl occurs in unplanned ways, forcing pert-urban agriculture to adopt detrimental practices for biodiversity conservation and metabolic efficiency (i.e. landscape homogenization and dependence on non-renewable external inputs), facing the food-biodiversity dilemma. In order to ameliorate these negative effects over the metropolitan socioecological system, researchers have focused on developing comprehensive indicators to support sustainable urban expansion in metropolitan areas. In this paper, we use these indicators to develop an Energy-Landscape Optimization (E-LO), a nonlinear model designed for land use planning by means of considering biophysical constraints. Then, we test the model in a representative Mediterranean bio-cultural landscape in the Barcelona metropolitan area (Spain). The E-LO results allow us to propose different land use configurations for both conventional and organic agriculture, taking into account the associated socio-metabolic balances and the related landscape functional structures, with the aim to meet different societal objectives. We have fruitfully tested three settings: i) to increase conditions to host farm associated biodiversity, ii) to increase agricultural production, and iii) to minimize dependence on non-renewable external inputs. According to these socioecological objectives, we have obtained the best landscape-metabolism integration, which is a useful methodology for sustainable land use policy. This socioecological perspective is necessary for the new paradigm on agroecosystem management and landscape planning, and can help advancing towards functional green infrastructures in metropolitan areas, especially in the climate change and agroecological transition global context.
机译:大都市地区的速率快速增长和城市扩张导致粮食需求急剧增加。在大多数情况下,城市蔓延出现在计划外的方式,强迫Pert-Urban Afternuture采用生物多样性保护和代谢效率的不利实践(即景观均质和对不可再生的外部投入的依赖),面临食物生物多样性困境。为了改善对大都会社会生态系统的这些负面影响,研究人员致力于制定综合指标,以支持大都市区的可持续城市扩张。在本文中,我们使用这些指标来开发能量景观优化(E-LO),这是一种用于通过考虑生物物理限制的土地利用规划而设计的非线性模型。然后,我们在巴塞罗那大都市区(西班牙)的代表地中海生物文化景观中测试模型。 E-LO结果允许我们为传统和有机农业提出不同的土地利用配置,同时考虑到相关的社会代谢余额和相关景观功能结构,旨在满足不同的社会目标。我们果酒地测试了三种设置:i)增加举办农场相关生物多样性的条件,ii)增加农业生产和III)以最大限度地减少对不可再生外部投入的依赖。根据这些社会能源的目标,我们获得了最佳景观 - 代谢整合,这是可持续土地利用政策的有用方法。这种社会能源观点对于农业系统管理和景观规划的新范例是必要的,并有助于推动大都市区的功能绿色基础设施,特别是在气候变化和农业生态转型全球背景下。

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