Department for Innovation in Biological, Agri-food and Forestry systems (DIBAF), University of Tuscia, Via S. Camillo de Lellis, Viterbo, 01100, Italy.
Department of Political, Social and Communication Sciences, University of Salerno, Via Giovanni Paolo II 132, Fisciano, 84084, Italy.
Environ Manage. 2018 Jan;61(1):116-131. doi: 10.1007/s00267-017-0950-0. Epub 2017 Oct 25.
This study introduces a bio-economic approach to evaluate the influence of local socioeconomic contexts on complex processes of landscape transformation (urbanization, withdrawal of farming with woodland creation and loss in crop mosaics) in a sustainable development perspective. Land-use and socioeconomic indicators (including shares of agriculture, industry and services in total product, per-worker value added, productivity by economic sector, distance from central cities, latitude and elevation) at the local district scale in Italy have been considered together in an exploratory approach based on multivariate statistics. The combined use of land-use and socioeconomic indicators was preferred to more traditional approaches based on single-variable analysis and allows identifying latent factors of landscape transformation at the local scale. Our approach sheds light in the intimate relationship between regional economic structures and land-use change in districts with varying socio-environmental attributes across Italy. Urban-rural divides, coastal-inland dichotomy and the elevation gradient were relevant factors shaping urbanization-driven landscape transformations at the country scale. Indicators of economic structure (and especially industrial production and per-worker productivity of industry and services) were also documented to influence greatly entity and direction of change in the use of land. Discontinuous and dispersed urbanization has been demonstrated to be spatially-decoupled from consolidated (continuous and compact) urbanization, expanding into undeveloped rural areas progressively far away from central cities and being spatially associated with forest land.
本研究采用生物经济方法,从可持续发展的角度评估了地方社会经济背景对景观转化(城市化、农耕用地减少、林地增加和作物镶嵌体减少)这一复杂过程的影响。在探索性研究中,意大利地方行政区尺度上的土地利用和社会经济指标(包括农业、工业和服务业在总产品中的份额、每个工人的附加值、按经济部门计算的生产力、与中心城市的距离、纬度和海拔)被综合考虑。与基于单变量分析的更传统方法相比,这种综合使用土地利用和社会经济指标的方法能够在地方尺度上识别景观转化的潜在因素。我们的方法揭示了意大利不同社会-环境属性地区的区域经济结构与土地利用变化之间的密切关系。城乡差距、沿海与内陆的二分法以及海拔梯度是影响全国城市化驱动景观转化的重要因素。经济结构指标(尤其是工业和服务业的工业生产和每个工人的生产力)也被证明极大地影响了土地利用变化的实体和方向。不连续和分散的城市化与集中(连续和紧凑)的城市化在空间上是脱钩的,其向远离中心城市的农村地区扩张,并与林地在空间上相关。