Beigi Hamed, Sadeghi Seyed Hamidreza, Vafakhah Mehdi, Moosavi Vahid, Maerker Michael
Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Noor, Mazandaran, Iran.
Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy; Leibniz Centre for Agricultural Landscape Research (ZALF), Working Group on Soil Erosion and Feedbacks, Müncheberg, Germany.
Sci Total Environ. 2025 Oct 15;999:180367. doi: 10.1016/j.scitotenv.2025.180367. Epub 2025 Aug 30.
Soil erosion is a critical factor in soil and water degradation, necessitating the implementation of effective watershed management strategies to mitigate these impacts. Even with its worldwide importance, little is known about the temporal and spatial pattern of soil erosion, which hinders the creation of focused mitigation strategies. In this regard, this study introduces soil erosion resistivity, a novel metric that assesses temporal stability using the normalized coefficient of variation, to prioritize sub-watersheds in Iran's Shazand Watershed, employing the Revised Universal Soil Loss Equation (RUSLE). Resistivity classified sub-watersheds into five stability categories, including unstable (0.81-1), relatively unstable (0.61-0.8), moderately stable (0.41-0.60), relatively stable (0.21-0.4), and stable (0-0.2). Results showed a declining trend in overall erosion, with a sharp increase in 2018 attributed to extreme rainfall. The mean annual soil erosion was 14.94 t ha y, with sub-watersheds 15 and 9 identified as the highest priority for management. Whereas sub-watersheds 5, 6, and 7 were classified as the lowest priority. In contrast, resistivity-based prioritization revealed critical nuances, as sub-watershed 11 (19.07 t ha y, relatively unstable) ranked as the highest priority. At the same time, higher-erosion areas (e.g., sub-watersheds 9 and 15) were moderately stable and classified as a secondary priority. Sub-watersheds 2, 18, and 23 also showed statistically significant declines. Unlike conventional soil erosion rate-based approaches, resistivity highlights areas with persistently high erosion, enabling precise conservation targeting. These findings underscore the importance of adopting sustainable practices and prioritizing management efforts in vulnerable regions to effectively mitigate soil erosion.
土壤侵蚀是土壤和水资源退化的一个关键因素,因此有必要实施有效的流域管理策略来减轻这些影响。尽管其在全球具有重要意义,但人们对土壤侵蚀的时空模式了解甚少,这阻碍了针对性缓解策略的制定。在这方面,本研究引入了土壤侵蚀抗性这一新颖指标,该指标使用归一化变异系数来评估时间稳定性,以利用修订的通用土壤流失方程(RUSLE)对伊朗沙赞德流域的子流域进行优先排序。抗性将子流域分为五个稳定性类别,包括不稳定(0.81 - 1)、相对不稳定(0.61 - 0.8)、中度稳定(0.41 - 0.60)、相对稳定(0.21 - 0.4)和稳定(0 - 0.2)。结果表明,总体侵蚀呈下降趋势,2018年由于极端降雨出现了急剧增加。年平均土壤侵蚀量为14.94吨/公顷·年,其中子流域15和9被确定为管理的最高优先级。而子流域5、6和7被归类为最低优先级。相比之下,基于抗性的优先排序揭示了关键细微差别,因为子流域11(19.07吨/公顷·年,相对不稳定)被列为最高优先级。与此同时,高侵蚀地区(如子流域9和15)为中度稳定,被归类为次要优先级。子流域2、18和23也显示出统计学上的显著下降。与传统的基于土壤侵蚀速率的方法不同,抗性突出了侵蚀持续较高的地区,能够实现精准的保护目标。这些发现强调了在脆弱地区采用可持续做法并优先进行管理努力以有效减轻土壤侵蚀的重要性。