ArticleEnvironmental management2009
The environmental "risky" region: identifying land degradation processes through integration of socio-economic and ecological indicators in a multivariate regionalization model.
Article in Environmental management, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 81 citations in OpenAlex.
- Delineating the Intrinsic, Long-Term Path of Land Degradation: A Spatially Explicit Transition Matrix for Italy, 1960-2010.International journal of environmental research and public health · 2023Article
- Toward a spatially explicit analysis of land vulnerability to degradation: a country-level approach supporting policy strategies.Environmental monitoring and assessment · 2022Article
- Found in Complexity, Lost in Fragmentation: Putting Soil Degradation in a Landscape Ecology Perspective.International journal of environmental research and public health · 2022Article
- Desertification risk fuels spatial polarization in 'affected' and 'unaffected' landscapes in Italy.Scientific reports · 2022Article
- Assessing Impacts of Climate Change on Phenology and Quality Traits ofPlants (Basel, Switzerland) · 2019Article
- Urban Growth, Land-use Efficiency and Local Socioeconomic Context: A Comparative Analysis of 417 Metropolitan Regions in Europe.Environmental management · 2019Article
- Unraveling Landscape Complexity: Land Use/Land Cover Changes and Landscape Pattern Dynamics (1954-2008) in Contrasting Peri-Urban and Agro-Forest Regions of Northern Italy.Environmental management · 2015Article
- Land system change in Italy from 1884 to 2007: Analysing the North-South divergence on the basis of an integrated indicator framework.Land use policy · 2014Article
- Division scheme for environmental management regionalization in China.Environmental management · 2013Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although several studies have assessed Land Degradation (LD) states in the Mediterranean basin through the use of composite indices, relatively few have evaluated the impact of specific LD drivers at the local scale. In this work, a computational strategy is introduced to define homogeneous areas at risk and the main factors acting as determinants of LD. The procedure consists of three steps and is applied to a set of ten environmental indicators available at the municipality scale in Latium, central Italy. A principal component analysis extracting latent patterns and simplifying data complexity was carried out on the original data matrix. Subsequently, a k-means cluster analysis was applied on a restricted number of meaningful, latent factors extracted by PCA in order to produce a classification of the study area into homogeneous regions. Finally, a stepwise discriminant analysis was performed to determine which indicators contributed the most to the definition of homogeneous regions. Three classes of "risky" regions were identified according to the main drivers of LD acting at the local scale. These include: (i) soil sealing (coupled with landscape fragmentation, fire risk, and related processes), (ii) soil salinization due to agricultural intensification, and (iii) soil erosion due to farmland depopulation and land abandonment in sloping areas. Areas at risk for LD covered 56 and 63% of the investigated areas in 1970 and 2000, respectively.
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