Plant selection method for urban landscapes of semi-arid cities (a case study of Tehran) |
| |
| Authors: | Morteza Asgarzadeh Kourosh Vahdati Mahmoud Lotfi Mostafa Arab Alireza Babaei Farzaneh Naderi Mohammad Pir Soufi Ghazaleh Rouhani |
| |
| Institution: | 1. Harvard University, School of Public Health, 665 Huntington Avenue, Bldg 2, Room 322, Boston, United States;2. Horticultural Science, University of Tehran, Aburaihan Campus, Tehran, Iran;3. Horticultural Science, Tarbiat Modares University, Tehran, Iran;4. Kardok, Research & Scientific Institute, Sanandaj, Iran;5. Forest Policy and Forest Resource Economics, Institute of Forest Economics and Forest Management Planning, Faculty of Environmental Science, Technische Universität Dresden, Dresden, Germany;6. Landscape Design, University of Tehran, Aburaihan Campus, Tehran, Iran;1. Department of Environmental Conservation, University of Massachusetts, Amherst, MA, USA;2. Stockbridge School of Agriculture, University of Massachusetts, Amherst, MA, USA;1. Department of Forestry and Environmental Resources, North Carolina State University, 3120 Jordan Hall, Raleigh, NC 27695, USA;2. Department of Forestry and Environmental Resources, North Carolina State University, 3041 Cornwallis Road, Research Triangle Park, NC 27709, USA;3. United States Department of Agriculture, Forest Service, Northern Research Station, 180 Canfield Street, Morgantown, WV 26505, USA;1. Department of Ecology, Chair of Ecosystem Science/Plant Ecology, Technische Universität Berlin, Rothenburgstr. 12, D-12165 Berlin, Germany;2. Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany;3. Department of Ecology, Chair of Ecological Impact Research and Ecotoxicology, Technische Universität Berlin, Ernst Reuter Platz 1, D-10587 Berlin, Germany;1. Institute of Geography and Spatial Organization, Polish Academy of Sciences, Twarda 51/55, 00-818 Warszawa, Poland;2. Third Municipal Hospital in ?ód?, Dr. K. Jonscher, Internal Diseases and Cardiology Department, Milionowa 14, 93-113 ?ód?, Poland;3. Bioklimatologia, Laboratory of Bioclimatology and Environmental Ergonomics, ?ukowska 17/55, 04-133 Warszawa, Poland;1. School of Ecosystem and Forest Sciences, The University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria 3121, Australia;1. Entomology and Nematology Department, University of Florida, Gainesville, FL 32611, United States;2. Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27606, United States |
| |
| Abstract: | Choosing appropriate plants for urban landscapes is vital to avoid potential financial and environmental losses that may occur if all selection parameters are not taken into account. A methodology has been developed to assist landscape architects, planting designers, and urban horticulturists in the plant selection process. Tehran has been picked as a case study due to its arid and semi-arid climate which poses more challenges in front of an expert. After grouping plants, selection parameters have been defined for each plant group. Plant species were comparatively graded for each parameter by a group of eight specialists. Analytical hierarchy process (AHP) technique and hierarchical cluster analysis have been utilized to find the most adaptable plant species for the area according to the main selection parameters of zone tolerance, urban conditions, esthetics, maintenance, growth characteristics, and specific features. Several new plants were ranked high in the final tables suggesting that the urban landscape of Tehran has a great potential to become more attractive, less allergic, and less costly, as well as consuming less water. Before introducing new plants to the urban environment, they should be experimented on in small numbers for several years to confirm that they will not change the ecology of the whole region through invasion or posing a threat to any local plant species. |
| |
| Keywords: | Analytical hierarchy process (AHP) Climate change Planting design Semi-arid cities Urban landscape |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
