Cited by 136Soil erosion and sediment transportSoil Science and Environmental ManagementSustainable Agricultural Systems Analysis

Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach

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Kosmas, C., Kairis, Or., Karavitis, Ch., Ritsema, C., Salvati, L., Acikalin, S., Alcalá, M., Alfama, P. +64 more·2014·Environmental Management

Abstract

An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a total of 70 candidate indicators was selected providing information for the biophysical environment, socio-economic conditions, and land management characteristics. The indicators were defined in 1,672 field sites located in 17 study areas in the Mediterranean region, Eastern Europe, Latin America, Africa, and Asia. Based on an existing geo-referenced database, classes were designated for each indicator and a sensitivity score to desertification was assigned to each class based on existing research. The obtained data were analyzed for the various processes of land degradation at farm level. The derived methodology was assessed using independent indicators, such as the measured soil erosion rate, and the organic matter content of the soil. Based on regression analyses, the collected indicator set can be reduced to a number of effective indicators ranging from 8 to 17 in the various processes of land degradation. Among the most important indicators identified as affecting land degradation and desertification risk were rain seasonality, slope gradient, plant cover, rate of land abandonment, land-use intensity, and the level of policy implementation.

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  • After initial data reduction, simple or multiple correlation analysis can further decrease the number of indicators, sometimes followed by expert judgement for choosing only one out of two or more highly correlated soil properties.

    “After this initial data reduction, simple or multiple correlation analysis can further decrease the number of indicators (Andrews and Carroll, 2001; Kosmas et al., 2014), sometimes followed by the use of expert judgement for choosing only one out of two or more highly correlated soil properties (Sparling and Schipper, 2002).”

    From Soil quality – A critical review (2018) · cites this paper as Kosmas et al., 2014

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References 38 · Cited by 136

Authors
Kosmas, C., Kairis, O., Karavitis, C., Ritsema, C., Salvati, L., Acikalin, S., Alcalá, M., Alfama, P., Atlhopheng, J., Barrera, J., Belgacem, A., Solé-Benet, A., Brito, J., Chaker, M., Chanda, R., Coelho, C., Darkoh, M., Diamantis, I., Ermolaeva, O., Fassouli, V., Fei, W., Feng, J., Fernandez, F., Ferreira, A., Gokceoglu, C., Gonzalez, D., Gungor, H., Hessel, R., Juying, J., Khatteli, H., Khitrov, N., Kounalaki, A., Laouina, A., Lollino, P., Lopes, M., Magole, L., Medina, L., Mendoza, M., Morais, P., Mulale, K., Ocakoglu, F., Ouessar, M., Ovalle, C., Perez, C., Perkins, J., Pliakas, F., Polemio, M., Pozo, A., Prat, C., Qinke, Y., Ramos, A., Ramos, J., Riquelme, J., Romanenkov, V., Rui, L., Santaloia, F., Sebego, R., Sghaier, M., Silva, N., Sizemskaya, M., Soares, J., Sonmez, H., Taamallah, H., Tezcan, L., Torri, D., Ungaro, F., Valente, S., de Vente, J., Zagal, E., Zeiliguer, A., Zhonging, W., & Ziogas, A.
Affiliations
  • Agricultural University of Athens (GR)
  • Wageningen University & Research (NL)
  • Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (IT)
  • Institut de Recherche pour le Développement (CG)
  • University of Botswana (BW)
  • Instituto de Investigaciones Agropecuarias (CL)
  • Institut des Régions Arides (TN)
  • Mohammed V University (MA)
  • University of Aveiro (PT)
  • Moscow State University of Environmental Engineering (RU)
  • Institute of Soil and Water Conservation (CN)
  • Eskişehir Osmangazi University (TR)
  • Research Institute for Geo-Hydrological Protection (IT)
  • Democritus University of Thrace (GR)
Corresponding author
Kosmas, C.
Venue
Environmental Management
Published
2013-06-25
Volume
54
Issue
5
Pages
951-970
ISSN
  • 0364-152X (ISSN-L)
  • 1432-1009
OpenAlex
W2169470808
Cited by
136
References
38
Citations by year
2026: 12 · 2025: 11 · 2024: 11 · 2023: 11 · 2022: 12 · 2021: 22 · 2020: 10 · 2019: 17 · 2018: 13 · 2017: 3 · 2016: 1 · 2015: 4 · 2014: 7 · 2013: 2
FWCI
6.75
Type
journal article
Language
en
Open access
Locations
  • Environmental Management (publishedVersion)
  • PubMed (publishedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • HAL (submittedVersion, other-oa)
  • Americanae (AECID Library) (submittedVersion, other-oa)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
  • CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
European Commission
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Science and Environmental Management
  • Physical Sciences › Environmental Science › Environmental Chemistry › Sustainable Agricultural Systems Analysis
Keywords
land degradation, desertification, desertification risk, indicator selection, land management practices, soil erosion, soil organic matter, slope gradient, vegetation cover, land abandonment, land use intensity, policy implementation
MeSH terms
Africa, Asia, Desert Climate, Environmental Monitoring, Europe, Eastern, Latin America, Rain, Regression Analysis, Seasons, Socioeconomic Factors, Soil, Mediterranean Region, Environmental Restoration and Remediation, Plant Development

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