La Licata Manuel, Adeniyi Odunayo D, Ellerbrock Ruth H, Bhattarai Nisha, Bosino Alberto, Papke Natalie, Schaller Jörg, Maerker Michael
Working Group on Soil Erosion and Feedbacks, Landscape Functioning, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany.
Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy.
PLoS One. 2025 Aug 21;20(8):e0330252. doi: 10.1371/journal.pone.0330252. eCollection 2025.
In this study we explored the relationships between Soil Organic Matter (SOM) properties, serving as potential indicators of soil degradation and erosion, and environmental, geomorphic, and hydrological characteristics in an agricultural-forested Mediterranean watershed. SOM composition of fluvial sediments sampled across the watershed was analysed using FTIR spectroscopy to calculate FTIR-based proxies for the relative hydrophobicity of SOM, Cation Exchange Capacity (CEC), and organic-matter-cation associations. To investigate geospatial relationships between SOM composition influencing erosion susceptibility and the factors driving its variability at the watershed scale, such as terrain characteristics, soil properties, lithological, and LULC data, we used a Random Forest modelling approach. Our findings indicate that the size and configuration of the contributing areas associated with the sampling points played a crucial role in interpreting the relationships between SOM composition and environmental factors. Oak, hornbeam, and chestnut forests influence hydrophobic organic matter accumulation, making soils more prone to water erosion, where clay content potentially intensifies erosion susceptibility under particular climatic conditions. Moreover, SOM chemical components were spatially linked to sediment dynamics and organic matter connectivity across the watershed, with topographic features such as elevation and channel network base level being key factors. Also, CEC was found to be a potential indicator of soil erosion in geomorphologically active areas. Lastly, carbonate-rich soils appeared to positively influence organic matter-cation associations, potentially enhancing aggregate stability and reducing erosion susceptibility. This study provides significant new insights into the complex relationships between SOM composition, environmental predictors, and soil erosion in Mediterranean watersheds, supporting novel research hypotheses and perspectives from both a scientific and applicative point of view.
在本研究中,我们探讨了作为土壤退化和侵蚀潜在指标的土壤有机质(SOM)属性与地中海农林流域的环境、地貌和水文特征之间的关系。利用傅里叶变换红外光谱(FTIR)对流域内采集的河流沉积物的SOM组成进行了分析,以计算基于FTIR的SOM相对疏水性、阳离子交换容量(CEC)和有机物质-阳离子缔合的代理指标。为了研究影响侵蚀敏感性的SOM组成与流域尺度上驱动其变异性的因素(如地形特征、土壤属性、岩性和土地利用/土地覆盖数据)之间的地理空间关系,我们采用了随机森林建模方法。我们的研究结果表明,与采样点相关的汇水区域的大小和形态在解释SOM组成与环境因素之间的关系中起着关键作用。橡树、角树和栗树林会影响疏水性有机物质的积累,使土壤更容易受到水蚀,而在特定气候条件下,粘土含量可能会加剧侵蚀敏感性。此外,SOM化学成分在空间上与流域内的沉积物动态和有机物质连通性相关联,海拔和河道网络基准面等地形特征是关键因素。此外,CEC被发现是地貌活跃地区土壤侵蚀的一个潜在指标。最后,富含碳酸盐的土壤似乎对有机物质-阳离子缔合有积极影响,可能增强团聚体稳定性并降低侵蚀敏感性。本研究为地中海流域SOM组成、环境预测指标和土壤侵蚀之间的复杂关系提供了重要的新见解,从科学和应用的角度支持了新的研究假设和观点。