Assessment of ecological vulnerability and decision-making application for prioritizing roadside ecological restoration: A method combining geographic information system, Delphi survey and Monte Carlo simulation. (May 2015)

• Record Type: Journal Article
• Authors: Song, Guobao; Li, Zhe; Yang, Yangang; Semakula, Henry Musoke; Zhang, Shushen
• Is Part Of: Ecological indicators. Volume 52(2015)
• Page Start: 57
• Page End: 65
• Publication Date: 2015-05
• Subjects: Ecological vulnerability assessment -- Monte Carlo -- GIS -- Uncertainty -- Fund allocation; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2014.11.032
• Languages: English
• ISSNs: 1470-160X

Abstract

Graphical abstract: Highlights: Monte Carlo-supported ecological vulnerability assessment is proposed. Knowledge uncertainty from ecological experts and spatial analysis technique are integrated in Python platform. Index system for ecological vulnerability assessment is established for the northeast region of Inner Mongolia. Spatial heterogeneity of ecological vulnerability is studied from three aspects of ecological sensitivity, resilience and natural-social pressure. Priority of fund allocation among multiple counties for roadsides ecological restoration is achieved. Abstract: Study experience of ecologist plays an important role in assessing the contribution of different influencing factors to ecological vulnerability, helping policy makers to target measures for ecological restoration. However, uncertainty is unavoidable due to variation of study experience among experts. In this study, a new method that combines Delphi survey, geographic information system and Monte Carlo simulation was proposed to assess regional ecological vulnerability and to quantify the uncertainty of assessing result. We illustrated the capacity of this method by using a case study in northeastern Inner Mongolia, China. An index system for 13 spatial variables was established to calculate an ecological vulnerability index (EVI) from the three aspects of ecological sensitivity (ES), ecological resilience (ER) and natural-social pressure (NSP). The assessment shows that the southwestern region of the study area, especially in the counties of Sonid Left and Right, was seriously threatened by a high ES and a low ER. Onguiud county in the Greater Hinggan Mountains had a high EVI due to an intensive NSP. Based on the assessing result and regional road distribution, an EVI cost curve was created to facilitate the prioritization of allocating limited funds among the various counties for roadside ecological restoration.