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Predicting ecological connectivity in urbanizing landscapes

机译:预测城市化景观中的生态连通性

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Nearly half the world's population lives in urban centers, and these areas are increasingly important components of regional and global land cover. However, their ecological attributes are often overlooked, despite the presence of species, ecosystem services, and risks associated with the spread of pests or threatening processes such as fire. Movement and dispersal of organisms contribute to species persistence in urban landscapes; however, landscape patterns that promote ecological connectivity may also facilitate the spread of undesirable organisms or processes. I investigate how urban form can be used to predict ecological connectivity and assist in prioritizing urban landscapes for conservation activities and risk management. I examine the value of qualitative and quantitative descriptions of urban morphology as predictors of ecological connectivity by comparing sixty-six cities in the USA. Results show that qualitative categories are not adequate for describing ecological connectivity, multivariate descriptions are much better predictors, with urban area, number of urban patches, urban patch extent, level of aggregation, and perimeter area fractal dimension composing the significant synthetic variables. The dominance of area as a differentiating variable led to the development of a new urban connectivity index using a combination of urban area and state population size. This metric, based on readily available aspatial data, explains 78% of variation in ecological connectivity. These results provide a simple but novel tool for beginning to understand the role of urban morphology in promoting desirable environmental outcomes and managing environmental risks in urbanizing landscapes.
机译:世界近一半的人口居住在城市中心,这些地区日益成为区域和全球土地覆盖的重要组成部分。但是,尽管存在物种,生态系统服务以及与有害生物扩散或火灾等威胁性过程相关的风险,但它们的生态属性经常被忽视。生物体的移动和传播有助于物种在城市景观中的持久性;然而,促进生态连通性的景观格局也可能促进不良生物或过程的传播。我研究了如何利用城市形态来预测生态连通性,并协助为保护活动和风险管理优先考虑城市景观。通过比较美国的66个城市,我研究了定性和定量描述城市形态作为生态连通性预测指标的价值。结果表明,定性类别不足以描述生态连通性,多变量描述是更好的预测指标,其中城市面积,城市斑块数量,城市斑块程度,聚集水平和周边区域分形维数构成了重要的综合变量。面积作为差异变量的优势导致结合城市面积和州人口规模开发了新的城市连通性指数。该指标基于易于获取的卫星数据,解释了生态连通性变化的78%。这些结果提供了一个简单而新颖的工具,用于开始了解城市形态在促进理想的环境成果和管理城市化景观中的环境风险方面的作用。

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