Integrating geoinformatics and high-resolution soil water retention data for fine-scale desertification sensitivity mapping of the Oued-Sakni sub-catchment, Cheliff-Zahrez hydrographic Basin, Algeria

Introduction This study presents a large-scale, quantitative assessment of desertification sensitivity in the Oued-Sakni sub-catchment (SCOS), a representative unit of the steppe belt of central Algeria. Although the region’s vulnerability to land degradation has been noted in earlier national-scale surveys, its spatial pattern had not previously been mapped at a resolution fine enough to support local management decisions. Methods Geoinformatics and remote-sensing techniques were combined within the MEDALUS (Mediterranean Desertification and Land Use) framework to delineate Environmentally Sensitive Areas (ESAs). The Environmental Sensitivity Area Index (ESAI) was computed as the geometric mean of four thematic indices — the Soil Quality Index (SQI), Climate Quality Index (CQI), Vegetation Quality Index (VQI) and Management Quality Index (MQI) — each built from natural and anthropogenic layers that together describe the land’s susceptibility to degradation. To offset the scarcity of local, high-resolution soil survey data, a methodological adaptation was introduced: soil depth and texture were substituted with high-resolution Volumetric Water Retention (VWR) data drawn from the World Soil Information Service (WoSIS) database. Land cover, the most dynamic of the four inputs, was mapped independently through a Random Forest (RF) classifier trained on Sentinel-2 imagery within Google Earth Engine, achieving an overall accuracy of 86.2% and a Kappa coefficient of 0.823, which gives the vegetation and management layers an empirical grounding rarely available in comparable steppe studies. Results and discussion The results show that the SCOS sub-catchment is highly vulnerable to desertification: critical areas cover 43.6% of the total surface, fragile areas 49.2%, and only 7.2% is classed as potentially sensitive. These figures place the SCOS among the more severely affected steppe catchments reported in the recent regional literature. The resulting ESA maps constitute an operational decision-support tool for prioritizing soil-conservation and rangeland-management interventions in this and comparable semi-arid environments. Prioritizing soil and vegetation conservation in these critical zones is key to protecting forage resources and safeguarding long-term food security.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2026-10-30
DOI
https://doi.org/10.3389/fsufs.2026.1936786
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating geoinformatics and high-resolution soil water retention data for fine-scale desertification sensitivity mapping of the Oued-Sakni sub-catchment, Cheliff-Zahrez hydrographic Basin, Algeria

Mokhtar Mokhtar Rahmani, Ghada A. Khdery, Mohamed S. Shokr, Toufik Aliat et al.
3 links
Frontiers in Sustainable Food Systems
Soil erosion and sediment transport
article

Integrating geoinformatics and high-resolution soil water retention data for fine-scale desertification sensitivity mapping of the Oued-Sakni sub-catchment, Cheliff-Zahrez hydrographic Basin, Algeria

Mokhtar Mokhtar Rahmani, Ghada A. Khdery, Mohamed S. Shokr, Toufik Aliat, Wissem Hamdi, Abdelhafid Bouzekri, Bouacha Mohamed Islem, Abdel-rahman A. Mustafa, Mhamed B. Laouisset
article en

Abstract

Introduction This study presents a large-scale, quantitative assessment of desertification sensitivity in the Oued-Sakni sub-catchment (SCOS), a representative unit of the steppe belt of central Algeria. Although the region’s vulnerability to land degradation has been noted in earlier national-scale surveys, its spatial pattern had not previously been mapped at a resolution fine enough to support local management decisions. Methods Geoinformatics and remote-sensing techniques were combined within the MEDALUS (Mediterranean Desertification and Land Use) framework to delineate Environmentally Sensitive Areas (ESAs). The Environmental Sensitivity Area Index (ESAI) was computed as the geometric mean of four thematic indices — the Soil Quality Index (SQI), Climate Quality Index (CQI), Vegetation Quality Index (VQI) and Management Quality Index (MQI) — each built from natural and anthropogenic layers that together describe the land’s susceptibility to degradation. To offset the scarcity of local, high-resolution soil survey data, a methodological adaptation was introduced: soil depth and texture were substituted with high-resolution Volumetric Water Retention (VWR) data drawn from the World Soil Information Service (WoSIS) database. Land cover, the most dynamic of the four inputs, was mapped independently through a Random Forest (RF) classifier trained on Sentinel-2 imagery within Google Earth Engine, achieving an overall accuracy of 86.2% and a Kappa coefficient of 0.823, which gives the vegetation and management layers an empirical grounding rarely available in comparable steppe studies. Results and discussion The results show that the SCOS sub-catchment is highly vulnerable to desertification: critical areas cover 43.6% of the total surface, fragile areas 49.2%, and only 7.2% is classed as potentially sensitive. These figures place the SCOS among the more severely affected steppe catchments reported in the recent regional literature. The resulting ESA maps constitute an operational decision-support tool for prioritizing soil-conservation and rangeland-management interventions in this and comparable semi-arid environments. Prioritizing soil and vegetation conservation in these critical zones is key to protecting forage resources and safeguarding long-term food security.

Frontiers in Sustainable Food SystemsVol. 10
National Authority for Remote Sensing and Space Sciences (EG), Peoples' Friendship University of Russia (RU), Tanta University (EG), Université Ibn Khaldoun (TN), CRSTRA (DZ), Centre de recherche en Agropastoralisme (CRAPast) (DZ), University of Gabès (TN), Sohag University (EG)
Life on land, Climate action, Clean water and sanitation
Openalex Percentile: Top 15%
Soil erosion and sediment transport
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon