Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Chamran Blvd., Karaj 3158777878, Iran.
Department of Landscape Water Conservation, Faculty of Civil Engineering, Czech Technical University in Prague, Thakurova 7, 16629 Prague, Czech Republic.
Int J Environ Res Public Health. 2022 Feb 18;19(4):2372. doi: 10.3390/ijerph19042372.
Most studies that address the relationship between socio-economic characteristics and soil erosion focus on the effects of soil erosion on socio-economic conditions at different levels, from global to smallholder. Few, if any, efforts are made to address the influence of socio-economic variables on the soil erosion rate as an indicator of landscape degradation. The present study was carried out using spatial data from 402 catchments that cover Poland, to find out how socio-economic variables, which include area-weighted average income per capita (PLN km), area-weighted average gross domestic product (PLN km), population density (person km), and human development index can drive the soil erosion rate (kg ha yr), along with annual precipitation, soil and geomorphological variables that include soil organic carbon content, soil water content, clay ratio, stream gradient, and terrain slope. The results showed that the soil erosion rate is indirectly driven by the socio-economic variables in the study catchments, as it is alleviated by increasing population density, the area-weighted average gross domestic product, and the human development index. Furthermore, analyzing the incremental relationship between soil erosion rate and the area-weighted average of socio-economic variables revealed that no uniform change can be observed in the relationship between the area-weighted average socio-economic variables and soil erosion in the study catchments.
大多数研究关注社会经济特征与土壤侵蚀之间的关系,主要集中在土壤侵蚀对不同层次社会经济条件的影响,从全球到小农。几乎没有任何努力来解决社会经济变量对土壤侵蚀率(作为景观退化指标)的影响。本研究利用来自覆盖波兰的 402 个流域的空间数据进行,以了解社会经济变量(包括人均加权平均收入(PLN km)、加权平均国内生产总值(PLN km)、人口密度(人 km)和人类发展指数)如何与年降水量、土壤和地貌变量(包括土壤有机碳含量、土壤含水量、粘粒比、河流坡度和地形坡度)一起驱动土壤侵蚀率(kg ha yr)。结果表明,土壤侵蚀率受到研究流域中社会经济变量的间接驱动,因为人口密度、加权平均国内生产总值和人类发展指数的增加缓解了土壤侵蚀。此外,分析土壤侵蚀率与社会经济变量加权平均值之间的增量关系表明,研究流域中加权平均社会经济变量与土壤侵蚀之间的关系没有观察到统一的变化。