Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
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.
- ORCID
- 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
- green
- research.wur.nl
- Licence
- www.springer.com/tdm (tdm)
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review