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作者

Javier Babí Almenar;Alya Bolowich;Thomas Elliot;Davide Geneletti;Guido Sonnemann;Benedetto Rugani

来源

LANDSCAPE AND URBAN PLANNING,Vol.189,Issue1,P.335-351

语言

英文

关键字

作者单位

RDI Unit on Environmental Sustainability Assessment and Circularity, Environmental Research & Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 Rue du Brill, L-4422 Belvaux, Luxembourg;Institute of Molecular Sciences, University of Bordeaux, F-33400 Talence, France;Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy;IN+, Center for Innovation, Technology and Policy Research Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1049 – 001 Lisboa, Portugal;RDI Unit on Environmental Sustainability Assessment and Circularity, Environmental Research & Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 Rue du Brill, L-4422 Belvaux, Luxembourg;Institute of Molecular Sciences, University of Bordeaux, F-33400 Talence, France;Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy;IN+, Center for Innovation, Technology and Policy Research Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1049 – 001 Lisboa, Portugal

摘要

The increasing global population requires new infrastructure and urban development, and these land use changes have an impact on habitats and their ecological connectivity. To anticipate and minimise these impacts, environmental and urban planners require tools and methods that they can use at early planning stages. This paper investigates and selects landscape ecology techniques that can be used by planners to assess the effects in terms of changes in habitat loss, fragmentation and ecological connectivity due to expected land use changes. The selected techniques were tested in Luxembourg. Twelve landscape metrics, four connectivity indices, and one connectivity model were selected based on their straightforwardness, widespread application, and accessibility. Land cover maps and proposed areas of urban development up to 2030 were used as input data, together with adapted resistance surfaces from previous studies and a matrix of presence/absence for six target species. The combined analysis reveals a trend of increasing habitat fragmentation and loss of habitats, as well as a reduction of ecological connectivity with regard to all the targeted species, and suggests that this trend will likely continue in the near future. The selected landscape metrics, connectivity indices, the connectivity model and the software used to run them makes the abovementioned techniques easy to use by non-experts, and their combination helps to reduce some of the limitations of each individual technique. Both aspects might be useful in order to mainstream the use of landscape ecology techniques in spatial planning processes.