2009
DOI: 10.1016/j.ecolind.2008.04.001
|View full text |Cite
|
Sign up to set email alerts
|

Assessing the impact of ecological and economic factors on land degradation vulnerability through multiway analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
67
0
3

Year Published

2011
2011
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 118 publications
(75 citation statements)
references
References 29 publications
5
67
0
3
Order By: Relevance
“…In addition, sediments contain chemicals that can pollute waterways, increasing nitrogen and phosphorus levels in water bodies, causing eutrophication, increasing the cost of electricity generation and water capture for supplying urban centers and causing a shortage of water resources for irrigation-dependent regions (Pimentel & Kounang, 1998). A further consequence of soil degradation is the release of CO 2 into the atmosphere (Lal, 2007;Salvati & Zitti, 2009). The costs of all these effects can also be quantified.…”
Section: Losses Induced By Soil Erosionmentioning
confidence: 99%
“…In addition, sediments contain chemicals that can pollute waterways, increasing nitrogen and phosphorus levels in water bodies, causing eutrophication, increasing the cost of electricity generation and water capture for supplying urban centers and causing a shortage of water resources for irrigation-dependent regions (Pimentel & Kounang, 1998). A further consequence of soil degradation is the release of CO 2 into the atmosphere (Lal, 2007;Salvati & Zitti, 2009). The costs of all these effects can also be quantified.…”
Section: Losses Induced By Soil Erosionmentioning
confidence: 99%
“…The same procedure refers to the process of classifi cation by interpreting different layers of information. In fact, classifi cations simplify data by summarizing the values of different attributes within a limited number of classes (Salvati and Zitti 2009). The interpretation of data calls for uniform classifi cations with data organized into reference systems or when different types of ecosystems are compared, in a simple and acceptable way (Salvati et al 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Among numerous models, MEDALUS model (MEditerranean Desertifi cation And Land USe), developed by the European Commission is of great signifi cance (Brandt and Thornes 1996). MEDALUS model is widely used in the European countries as a successful tool for the detection of most endangered areas in terms of land degradation (Salvati and Zitti 2009, Contador et al 2009, Santini et al 2010, Vieira et al 2015. This model has been largely tested in the Mediterranean basin countries and has shown good results , Geeson et al 2002, Basso et al 2012.…”
Section: Introductionmentioning
confidence: 99%
“…However, it should be noted that except for some microclimate zone considering as spots, production of forest land use was higher than range and desert land use because of the vegetation amount (Barnes et al, 1998). On the other hand, given the definition of land degradation include reduction of productivity and ecosystem functioning in a long-term period (Bai et al, 2008), this is often related to the reduction in plant cover and biomass (Wessels et al, 2007;Salvati and Zitti, 2009). With these descriptions and based on the map of the different land uses average NPP (Fig.…”
Section: Npp Trendmentioning
confidence: 99%
“…Drylands (arid, semiarid and dry subhumid areas) cover approximately 41 % of the Earth's surface and approximately 10 to 20 % of these regions are experiencing degradation and desertification processes, resulting in a decline in agricultural productivity, loss of biodiversity and the breakdown of ecosystems (Keesstra, 2007). Considering the widespread and threatening aspects of desertification in locations all around the world, many researchers have tried to analyze it by means of experimental models and methods (Prince et al, 1988;Ladisa et al, 2011;Liu and Yang, 2003), remote sensing methods (Symeonakis et al, 2014;Helldén and Tottrup, 2008;Hill et al, 2008;Rasmussen et al, 2001) and modeling (Nicholson et al, 1998;Salvati and Zitti, 2009;Santini et al, 2010).…”
Section: Introductionmentioning
confidence: 99%