4.7 Article

The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions

期刊

LANDSCAPE ECOLOGY
卷 23, 期 10, 页码 1143-1155

出版社

SPRINGER
DOI: 10.1007/s10980-008-9253-4

关键词

Urban-rural gradients; Biodiversity; Landscape ecology; Urbanization; Characterizing urban landscapes; Melbourne, Australia; Auckland, New Zealand; Tree species richness

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Over the past decade, the urban-rural gradient approach has been effectively used to study the ecology of cities and towns around the world. These studies have focused on understanding the distribution of plants and animals as well as ecosystem processes along gradients of urbanization that run from densely urbanized inner city to more rural exurban environments. We reviewed 300 papers investigating urbanization gradients that were published in peer-reviewed journals between 1990 and May 2007. Sixty-three percent of the papers investigated the distribution of organisms along urbanization gradients. Only five papers addressed the measures used to quantify the urbanization gradient itself. Within the papers addressing the distribution of organisms, 49% investigated the responses of birds to urbanization gradients, and < 10% of the papers investigated more cryptic organisms. Most of these studies utilized a variety of broad measures of urbanization, but future advances in the field will require the development of some standardized broad measures to facilitate comparisons between cities. More specific measures of urbanization can be used to gain a mechanistic understanding of species and ecosystem responses to urbanization gradients. While the gradient approach has made a significant contribution to our understanding of the ecology of cities and towns, there is now a need to address our current knowledge gaps so that the field can reach its full potential. We present two examples of research questions that demonstrate how we can enhance our understanding of urbanization gradients, and the ecological knowledge that we can obtain from them.

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