Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China

Feng, Yongjiu, Liu, Yan and Liu, Yu (2017) Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China. Stochastic Environmental Research and Risk Assessment, 31 9: 2235-2249. doi:10.1007/s00477-016-1330-7


Author Feng, Yongjiu
Liu, Yan
Liu, Yu
Title Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China
Journal name Stochastic Environmental Research and Risk Assessment   Check publisher's open access policy
ISSN 1436-3259
1436-3240
Publication date 2017-11-01
Year available 2016
Sub-type Article (original research)
DOI 10.1007/s00477-016-1330-7
Open Access Status Not yet assessed
Volume 31
Issue 9
Start page 2235
End page 2249
Total pages 15
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Subject 2305 Environmental Engineering
2304 Environmental Chemistry
2312 Water Science and Technology
2213 Safety, Risk, Reliability and Quality
2300 Environmental Science
Abstract Ecological security is a fundamental component of regional security that has drawn increased attention worldwide over the past two decades. This paper presents a novel approach to assess the status of land ecological security (LES) in Shanghai, China from 1992 to 2011 using spatial variables and a logistic regression model. The LES status of 1745 points within the study area in 1992, 2001 and 2011 was sampled systematically using a 2 × 2 km grid sample frame and evaluated based on an expert method with ten experts from five fields. A five-point Likert scale was used to score the LES status as very insecure, insecure, neutral, secure or very secure. We identified several explanatory factors to the LES status, including distance-based variables describing the proximities to urban center, developed areas and sources of pollution, as well as variables regarding the density of built-up areas and the mean value of normalized difference vegetation index. A logistic regression model was used to quantify the relationship between LES scores and the spatial variables at each of the three time points, resulting in a series of maps illustrating the LES patterns of Shanghai in 1992, 2001 and 2011. The results show that LES is either very insecure or insecure at the center of Shanghai and at its district centers, and the LES of the entire Shanghai municipality has deteriorated significantly from 1992 to 2011. This research contributes to an enhanced understanding of LES changes resulting from rapid urbanization and industrialization of the Shanghai municipality and provides a methodological framework to study LES elsewhere.
Keyword Change analysis
Expert evaluation methods
Land ecological security (LES)
Logistic regression
Shanghai
Spatial variables
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 13ZR1419300
41406146
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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