scholarly journals Socioeconomic drivers of urban pest prevalence

2020 ◽  
Vol 2 (3) ◽  
pp. 776-783 ◽  
Author(s):  
Chris Sutherland ◽  
Andrew J. Greenlee ◽  
Daniel Schneider
Keyword(s):  
Urban Pest ◽  
Socioeconomic Drivers

Both climate and socioeconomic drivers contribute to vegetation greening of the Loess Plateau

2021 ◽  
Author(s):  
Shahid Naeem ◽  
Yongqiang Zhang ◽  
Xuanze Zhang ◽  
Jing Tian ◽  
Sawaid Abbas ◽  
...  
Keyword(s):  
Loess Plateau ◽  
The Loess Plateau ◽  
Socioeconomic Drivers

Identifying the main physical and socioeconomic drivers of illegal landfills in the Canary Islands

2018 ◽  
Vol 36 (11) ◽  
pp. 1049-1060 ◽  
Author(s):  
L Quesada-Ruiz ◽  
V Rodriguez-Galiano ◽  
R Jordá-Borrell
Keyword(s):  
Multivariable Analysis ◽  
Principal Component ◽  
Binary Logistic Regression ◽  
Gran Canaria ◽  
Analysis Techniques ◽  
La Palma ◽  
Socioeconomic Drivers ◽  
Geospatial Database ◽  
Total Data ◽  
Degree Of Association

The management of disposed waste in illegal landfills (ILs) is a significant problem in contemporary societies due to respective hazards for the environment and human health. This paper presents a characterisation of ILs on the islands of La Palma (LP) and Gran Canaria (GC) based on multivariable statistical analysis. Inspection of numerous sites on both islands revealed a total of 153 and 286 ILs on LP and GC, respectively. A geospatial database was created composed of different potentially explanatory features of different typology (177): waste type, control and vigilance, socioeconomic, accessibility, distance to elements of interest, visibility and physical. The degree of association between the explanatory features and the occurrence of ILs was analysed with the support of exploratory statistics and the multivariable analysis techniques of principal component analysis (PCA) and binary logistic regression (LR). PCA explained 82.34% and 81.83% of total data variance in LP and GC, respectively, considering 7 and 6 components (Kaiser–Mayer–Olkin; LP: 0.715; GC: 0.711). The LR models for LP and GC had an overall accuracy of 93.5% and 92.5%. In LP and GC, 6 of 23 features and 9 of 21 features were, respectively, selected. The features most associated with the occurrence of ILs were: in LP, building density, distance to agricultural spaces and distance to green zones; in GC, the industrial activity indicator, density of ground use transition to artificial covers, density of greenhouses and distance to communication routes.

scholarly journals Divergent socioeconomic drivers of land use at various times in the Hulunber grassland area, China

2021 ◽  
Vol 132 ◽  
pp. 108243
Author(s):  
Zhu Xiaoyu ◽  
Dong Gang ◽  
Xin Xiaoping ◽  
Shao Changliang ◽  
Xu Dawei ◽  
...  
Keyword(s):  
Land Use ◽  
Socioeconomic Drivers

Socioeconomic Drivers of Deforestation in the Northern Ecuadorian Amazon

2006 ◽  
Vol 37 (6) ◽  
pp. 802-815 ◽  
Author(s):  
Carlos F. Mena ◽  
Richard E. Bilsborrow ◽  
Michael E. McClain
Keyword(s):  
Socioeconomic Drivers ◽  
Ecuadorian Amazon
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