Unravelling Landscape Evolution and Soil Erosion Dynamics in the Xynias Drained Lake Catchment, Central Greece: A GIS and RUSLE Modelling Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A102133" target="_blank" >RIV/60460709:41330/25:102133 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/su17125526" target="_blank" >https://doi.org/10.3390/su17125526</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/su17125526" target="_blank" >10.3390/su17125526</a>
Alternative languages
Result language
angličtina
Original language name
Unravelling Landscape Evolution and Soil Erosion Dynamics in the Xynias Drained Lake Catchment, Central Greece: A GIS and RUSLE Modelling Approach
Original language description
Understanding a catchment's geomorphological and erosion processes is essential for sustainable land management and soil conservation. This study investigates the Xynias drained lake catchment in Central Greece using a twofold geospatial modelling approach that combines morphometric analysis with the Revised Universal Soil Loss Equation (RUSLE) to evaluate the area's landscape evolution, surface drainage features, and soil erosion processes. The catchment exhibits a sixth-order drainage network with a dendritic and imperfect pattern, shaped by historical lacustrine conditions and the carbonate formations. The basin has an elongated shape with steep slopes, high total relief, and a mean hypsometric integral value of 26.3%, indicating the area is at an advanced stage of geomorphic maturity. The drainage density and frequency are medium to high, reflecting the influence of the catchment's relatively flat terrain and carbonate formations. RUSLE simulations also revealed mean annual soil loss to be 1.16 t ha-1 y-1 from 2002 to 2022, along with increased erosion susceptibility in hilly and mountainous areas dominated by natural vegetation. In comparison to these areas, agricultural regions displayed less erosion risk. These findings demonstrate the effectiveness of combining GIS with remote sensing for detecting erosion-prone areas, informing conservation initiatives. Along with the previously stated results, more substantial conservation efforts and active land management are required to meet the Sustainable Development Goals (SDGs) while considering the monitored land use changes and climate parameters for future catchment management.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainability
ISSN
2071-1050
e-ISSN
2071-1050
Volume of the periodical
17
Issue of the periodical within the volume
12
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
21
Pages from-to
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UT code for WoS article
001516414900001
EID of the result in the Scopus database
2-s2.0-105009008938