Ishita Afreen Ahmed , Manabendra Saharia , Sumedha Chakma
{"title":"Erosivity density as an indicator of soil erosion risk in South Asia","authors":"Ishita Afreen Ahmed , Manabendra Saharia , Sumedha Chakma","doi":"10.1016/j.catena.2025.108766","DOIUrl":null,"url":null,"abstract":"<div><div>Soil erosion presents substantial environmental issues, affecting agriculture, water quality, and biodiversity, with approximately 24 billion tonnes of productive soil lost annually worldwide. This is especially critical for South Asia, which is a hotspot for soil loss and has an economy dependent on agricultural productivity. Rainfall is a primary agent of erosion, and erosivity density (ED), which is the rainfall erosivity per unit of precipitation, is a measure of the interaction between the kinetic energy of rainfall and the soil surface. But a large-scale assessment of erosivity density currently doesn’t exist for South Asia. Using precipitation data from 1980 to 2018 and analytical techniques such as Mann-Kendall trend analysis and wavelet transform analysis, this study detects significant trends in erosivity density, highlighting regions most susceptible to soil erosion. Rainfall erosivity (R-factor) was calculated using high-resolution precipitation data (I60) and kinetic energy equations. Prominent areas with high erosivity density were detected in the Western Ghats and Northeastern Himalayas. Additionally, high ED values were observed in northeastern India, certain areas of Pakistan, and central and southern India. An increasing trend in ED was detected in the Indo-Gangetic plain, suggesting increased erosion risk. In contrast, declining patterns in certain regions of Pakistan and northern India indicated a decrease in rainfall intensity or frequency, potential impacting water availability. The wavelet transform analysis showed significant biennial and decadal patterns in ED, indicating climatic influences in South Asia. Biennial cycles showed variations in power levels, ranging from 0.75 to 1.05 in certain years, highlighting significant fluctuations in erosivity density intensity that result in substantial changes in soil erosion risk, demanding robust and adaptive conservation strategies. The study highlights the necessity for region-specific soil conservation techniques to mitigate erosion risks, providing a foundation for effective soil conservation and land management strategies in South Asia.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"251 ","pages":"Article 108766"},"PeriodicalIF":5.4000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225000682","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Soil erosion presents substantial environmental issues, affecting agriculture, water quality, and biodiversity, with approximately 24 billion tonnes of productive soil lost annually worldwide. This is especially critical for South Asia, which is a hotspot for soil loss and has an economy dependent on agricultural productivity. Rainfall is a primary agent of erosion, and erosivity density (ED), which is the rainfall erosivity per unit of precipitation, is a measure of the interaction between the kinetic energy of rainfall and the soil surface. But a large-scale assessment of erosivity density currently doesn’t exist for South Asia. Using precipitation data from 1980 to 2018 and analytical techniques such as Mann-Kendall trend analysis and wavelet transform analysis, this study detects significant trends in erosivity density, highlighting regions most susceptible to soil erosion. Rainfall erosivity (R-factor) was calculated using high-resolution precipitation data (I60) and kinetic energy equations. Prominent areas with high erosivity density were detected in the Western Ghats and Northeastern Himalayas. Additionally, high ED values were observed in northeastern India, certain areas of Pakistan, and central and southern India. An increasing trend in ED was detected in the Indo-Gangetic plain, suggesting increased erosion risk. In contrast, declining patterns in certain regions of Pakistan and northern India indicated a decrease in rainfall intensity or frequency, potential impacting water availability. The wavelet transform analysis showed significant biennial and decadal patterns in ED, indicating climatic influences in South Asia. Biennial cycles showed variations in power levels, ranging from 0.75 to 1.05 in certain years, highlighting significant fluctuations in erosivity density intensity that result in substantial changes in soil erosion risk, demanding robust and adaptive conservation strategies. The study highlights the necessity for region-specific soil conservation techniques to mitigate erosion risks, providing a foundation for effective soil conservation and land management strategies in South Asia.
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.