Ecological potentials of trees, shrubs and hedge species for urban green spaces by multi criteria decision making

https://doi.org/10.1016/j.ufug.2020.126824Get rights and content

Abstract

In planning for sustainable development of urban green space at the macro and regional levels, it is imperative to examine plant species of urban green spaces and to introduce new species considering climatic conditions, environmental pollution, industrial lifestyle, and resource limitations. The present study employs multi criteria decision making techniques to assess the existing and recommended plant species (trees, shrubs, and hedge plants) in downtown and marginal parks of Rasht City, Iran. Twenty seven indicators were defined in the context of six criteria, namely regional adaptation, urban environment, aesthetics, maintenance, growth characteristics, and specific advantages. Weights were assigned to the criteria using the entropy method. They were subsequently ranked by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Combinative Distance-based Assessment (CODAS), Additive Ratio Assessment (ARAS), and Evaluation Based on Distance from Average Solution (EDAS) techniques. To provide a final ranking of the ornamental species, the results of these four techniques were integrated using average rank, Borda, and Copeland methods. Based on the results, Parrotia persica, Liquidambar styraciflua, Lagerstroemia indica, Pyracantha coccinea, and Ligustrum texanum were ranked highest and Aesculus hippocastanum, Koelreuteria paniculata, Crataegus microphylla, Viburnum opulus, and Berberis gagnepainii were ranked lowest. Based on the detailed results, the assessment of trees, shrubs, and hedge plants can help decision makers and planners of urban green space development.

Introduction

Urban green spaces, which are spiritual requirements of people in urban areas and industrial communities, refer to a part of open spaces whose natural, or often artificial, landscape is dominated with a cover of trees, shrubs, plants, flowers, grasses, and cover plants. They are constructed and maintained under the supervision and management of humans to improve the living, ecosystem, and welfare conditions of citizens and non-rural population centers. The plant covers of urban green spaces are so important that they are called the lungs of cities by. Plants form the basis of all ecosystems and can partially alleviate the risk of pollution in green spaces (Lohe et al., 2015). Due to their specific characteristics, plants, especially trees and shrubs, can significantly contribute to reduce pollution. Aesthetic and ecological values, resistance to pollutants, pollution tolerance, and adaptability to climatic conditions are the main criteria for the selection of ornamental plants and shrubs for urban parks (Delaman & Farahmand, 2017). Sustainability in green space means the adaptation of its vegetation with its climatic conditions. The key to success in developing a sustainable green space is the selection of appropriate ornamental plant species that are adapted to the urban area (Asgarzadeh et al., 2014). The investigation into ornamental plants in urban green spaces and the recommendation of new cultivars are of crucial significance for the development of sustainable green spaces. Ecological needs, performance, and aesthetics constitute the criteria to select ornamental plants, which is mostly done arbitrarily or with a one-dimensional perspective so that it cannot be generalized to other regions with similar resources. A vital important point to consider is the priority of selection criteria in a certain region, which can be a chilling tolerance in one region or soil status or other decisive factors in another. Most urban green space officials have a list of suitable plant species for green spaces of their respective region, which is based on local growing experiences, not science. The criteria for plant selection differ among environmentally different cities (Asgarzadeh et al., 2014). These differences are rooted in inadequate knowledge of plants in the context of ecological, performance and aesthetic principles. Plant species are mostly selected by horticulturists, agriculturists (professionals of agriculture, natural resources, and environment), or even architects (see Table 1). Obviously, they have their own visions and perspectives in this selection as described in Table 1. Horticulturists are not familiar with the principles of aesthetics and their performance, but they are mostly dominated with an economic perspective and are more inclined towards the selection of garden plants whose consequence is a private garden appearance of the green spaces. Similarly, agriculturists are unfamiliar with the principles of aesthetics and they mostly have an agronomic perspective on plant selection and mostly select crops, so they give an agronomic appearance to the green spaces by selected thwart plants, like grasses. Likewise, the experts of natural resources and environment are not familiar with the principles of aesthetics and are mostly concerned with ecology and environment, whose result is the development of tree plantations and parks that lack performance and beauty. On the other hand, architects are unfamiliar with performance, economic, and ecological principles and they are dominated with an artistic view and sometimes functional view with no attention to plant diversity. As a result, the plant appearance is beautiful only on paper and the planted species are destroyed. The lack of the dominance of a systemic and holistic perspective on the issue causes inefficiency (Hosseinzadeh Delir, 2003).

Section snippets

Literature background

The literature review was based on in depth searches in SCOPUS, Elsevier, and other databases using several keywords including, but not limited to, ‘multi-criteria decision-making method’, ‘AHP’, ‘integration method’, ‘plant species assessment’, ‘entropy’, ‘park’, ‘ranking’, ‘green space’, and ‘ecology’. The literature review shows that plants are mostly assessed by AHP. We did not use AHP because when criteria grow in number, the research reliability is impaired, so multi-criteria

Study site

The city of Rasht, capital of Guilan Province in northern part of Iran, is located in a temperate humid region in the foothills of Northern Alborz range in seaward plains (Lat. 37°16′ N., Long. 49°36′ E., Alt. 7 m.) to the south of the Caspian Sea. Its precipitation rate is over 1300 mm, the number of rainy days is 135, and the average relative humidity is 82.6 %. The maximum temperature occurring in July-August is 31.6 °C and the minimum occurring in December-January is 3.5 °C (Meteorological

Results

The experts assigned weights to the studied criteria, whose results are presented in Table 4. According to the entropy method, the highest weight was 0.19 assigned to regional adaptation and the lowest was 0.14 assigned to growth characteristics.

After the weights of the criteria and the results of the fifth step of the questionnaire were finalized, the TOPSIS, ARAS, CODAS, and EDASS techniques were employed to rank the ornamental species including trees (Table 2) and shrubs and hedge species (

Conclusions and recommendations

This was the first research of its type in Rasht city. Although similar works have already been carried out in other provinces of Iran including Asgarzadeh et al. (2014) in Tehran, they have used AHP, but we did not use AHP due to the high number of criteria, in which AHP would impair the credibility. So, we made use of newer and more precise multi-criteria decision-making techniques to enhance the reliability of the assessment.

The entropy method ranked the criteria of regional adaptation,

Declaration of Competing Interest

The authors report no declarations of interest.

Acknowledgements

Financial support by Rasht Branch, Islamic Azad University Grant No. 4.5830 is acknowledged.

References (88)

  • U. Şengul et al.

    Fuzzy ‎TOPSIS method for ranking renewable energy supply systems in Turkey

    Renewable Energy

    (2015)
  • H. Sjöman et al.

    Selecting trees for urban paved sites in Scandinavia – a review of information on stress tolerance and its relation to the requirements of tree planners

    Urban For. Urban Green.

    (2010)
  • J. Vogt et al.

    Citree: a database supporting tree selection for urban areas in temperate climate

    Landsc. Urban Plan.

    (2017)
  • I. Lestari et al.

    Suitability analysis of green open space (Gos) model based on area characteristics in Kupang City, Indonesia

    The InterNational Journal Of Engineering And Science (IJES)

    (2013)
  • A.A. Alizadeh et al.

    Rooting assessment of semi-hard wood cuttings of Almond × Peach hybrid under mist conditions

    Iranian Journal of Horticultural Science and Technology

    (2002)
  • Anonymous

    Regulations of Designing Urban Green Space

    (2010)
  • Anonymous

    Annals Statistics

    (2017)
  • T. Armour et al.

    The Benefits of Large Species Trees in Urbanlandscapes: a Costing, Design and Management Guide

    (2012)
  • M. Asgarzadeh et al.

    Plant selection method for urban landscapes of semi-arid cities (a case study of Tehran)

    Urban For. Urban Green.

    (2014)
  • M. Asgharpour

    Multi Criteria Decision Making

    (2009)
  • L.H. Bailey

    The standard cyclopedia of horticulture. Seventeenth printing

    (1958)
  • Bawden, H.E. (Harold E.). 2001 Making a shru garden. Faber and...
  • B. Bhagwat et al.

    Stimulation of in vitro shoot proliferation from nodal explants of cassava by thidiazuron, benzyladenine and gibberellic acid

    Plant Cell Tiss. Org. Cult.

    (1996)
  • R. Bird

    Flowering Trees and Shrubs

    (2003)
  • Dong Chao et al.

    Micropropagation of Pyracanthacoccinea hortscience

    (2017)
  • S.E. Colesca et al.

    The quality of BUCHAREST’S green spaces

    Theoretical and Empirical Researches in Urban Management

    (2011)
  • Z.G. Davies et al.

    Mapping an urban ecosystem service: quantifying above‐round carbon storage at a city‐ide scale

    J. Appl. Ecol.

    (2011)
  • K. Day

    Vegetation Management for Seattle Parks Viewpoints

    (2004)
  • S. Delaman et al.

    Pollution tolerance index, a criterion for selecting trees and shrubs tolerant to air pollution

    The first national conference on new opportunities for agricultural production and employment in the east of the country. University of Birjand

    (2017)
  • M. Despontin et al.

    A user-oriented listing of multiple criteria decision methods

    Revue Belge de statistique, d’Informatique et de Recherche Opérationalle

    (1983)
  • M.A. Dirr

    Dirrs Trees and Shrubs for WarmChimates

    (2002)
  • D. Ellison

    Garden Plants of the World

    (2002)
  • F.J. Escobedo et al.

    Analyzing the Cost Effectiveness of Santiago, chile’s Policy of Using Urban Forest to Improve Air Quality of J of Environmental

    (2008)
  • A. Fallahian

    A Self-training Course in Green Space Designing

    (2010)
  • M.H. Gazirehee

    Urban forestry, parks and urban greenspace organization

    (1995)
  • Geyer

    Central Database for Cutivated Woody Plants In Europe-GINGO

    (2008)
  • A. Ghanbari et al.

    Ranking the cities of East Azerbaijan province based on urban tourism infrastructure with multi-criteria decision making methods

    Geography and Urban Planning- Regional

    (2014)
  • L.Nesom T. Guy

    Taxonomic overview of ligustrum (Oleacea) naturalizaed in north America north of Mexico 2925. Hartwood Drive Fort Worth, TX 76109, USA

    Phytologia

    (2009)
  • T. Hartman

    Plant Science Englewood Chift New Jersey. U. S A.

    (1988)
  • H.T. Hartman et al.

    Plant propagation: Principle and Practices

    (1990)
  • J. Hekmati

    Green Space Engineering (Designing Parks and Villas)

    (2007)
  • V.H. Heywood

    Flowering Plants of the World

    (1985)
  • K. Hosseinzadeh Delir

    Environmental Planning

    (2003)
  • C. Hwan et al.

    Multiple attribute decision making

    (1981)
  • Cited by (28)

    • Hyperspectral image-based vegetation index (HSVI): A new vegetation index for urban ecological research

      2021, International Journal of Applied Earth Observation and Geoinformation
      Citation Excerpt :

      Urban green space (UGS) is one of the most important components of the urban environment and considerably mitigates many urban problems, such as regulating the urban climate (Shashua-Bar and Hoffman, 2000), alleviating urban heat island effects (Duncan et al., 2019), and absorbing particle air pollutants (Janhäll, 2015). The quantity and quality of vegetation are two important attributes of UGS (Ghafari et al., 2020; Wang et al., 2019; Yan et al., 2020; Yu et al., 2020). The quantity of vegetation can be extracted using a variety of approaches, such as deep learning (Li et al., 2020), feature extraction (Zhao et al., 2018), band selection (Pan et al., 2018), index method (Wang et al., 2019), among others.

    View all citing articles on Scopus
    View full text