An Ecology for Cities: A Transformational Nexus of Design and Ecology to Advance Climate Change Resilience and Urban Sustainability

An Ecology for Cities: A Transformational Nexus of Design and Ecology to Advance Climate Change Resilience and Urban Sustainability
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DOI:
10.3390/su7043774
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发表时间:
2015-04-01
期刊:
影响因子:
3.9
通讯作者:
Pickett, Steward T. A.
Pickett, Steward T. A.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Childers, Daniel L.;Cadenasso, Mary L.;Pickett, Steward T. A.

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世界各地的城市正面临着越来越多的各种挑战,这些挑战似乎使更可持续的城市未来变得遥不可及。其中许多挑战是由城市人口增加和气候变化造成的,并因这些因素而加剧。今天,如果我们的城市希望拥有更可持续和更有弹性的未来,就需要新的解决方案。由于任何项目的大多数环境影响都体现在设计上,我们认为这是城市发展中可以产生真实的差异的地方。为此,我们提出了一个变革性的模型,将城市设计和生态学融合到一个包容性的,创造性的,知识到行动的过程中。这种设计-生态学的关系-城市生态学-将重新定义过程及其产品。在本文中,我们:(1)总结设计、基础设施和城市发展之间的关系,强调三者结合以实现城市气候适应力和增强可持续性的重要性;(2)讨论城市生态如何从城市生态转向基于知识-行动议程的城市生态;(3)详细介绍我们的转型城市设计-生态关系模型;(4)通过案例分析验证了模型的有效性。
Cities around the world are facing an ever-increasing variety of challenges that seem to make more sustainable urban futures elusive. Many of these challenges are being driven by, and exacerbated by, increases in urban populations and climate change. Novel solutions are needed today if our cities are to have any hope of more sustainable and resilient futures. Because most of the environmental impacts of any project are manifest at the point of design, we posit that this is where a real difference in urban development can be made. To this end, we present a transformative model that merges urban design and ecology into an inclusive, creative, knowledge-to-action process. This design-ecology nexus-an ecology for cities-will redefine both the process and its products. In this paper we: (1) summarize the relationships among design, infrastructure, and urban development, emphasizing the importance of joining the three to achieve urban climate resilience and enhance sustainability; (2) discuss how urban ecology can move from an ecology of cities to an ecology for cities based on a knowledge-to-action agenda; (3) detail our model for a transformational urban design-ecology nexus, and; (4) demonstrate the efficacy of our model with several case studies.