Determination of tolerable soil loss limit using quantitative biophysical model: a case study in Andit Tid watershed, central highland of Ethiopia

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Tilahun Getachew Abebe, Tesfaye Mebrate Lemma, Tesfa Worku Meshesha, Estifanos Lemma, Fikrey Tesfay
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引用次数: 0

Abstract

Soil is a crucial resource providing essential ecosystem services and is facing rapid degradation. To ensure its sustainability, conservation measures are essential, and establishing the tolerable soil loss limit (TSLL) is critical for assessing degradation risks, prioritizing actions, and evaluating their effectiveness. This study aimed to determine the TSLL for the Andit Tid watershed using a biophysical model that evaluates soil erosion resistance by integrating key soil parameters. Therefore, to capture the status of soil parameters 40 disturbed and undisturbed soil samples, including soil depth data, were collected, analyzed in a soil laboratory, and subjected to rigorous normality tests and trend analysis for reliability. The normalized data were processed through a unitless score converter matrix to obtain the soil aggregate score followed by the determination of TSLL through the soil aggregate group and soil depth matrix. Accordingly, the study establishes a critical TSLL of 10 t ha⁻1 yr⁻1 for the Andit Tid watershed. Specifically, the watershed experienced five TSLLs 7.50, 8.80, 10, 11.30, and 12.50 t ha−1 yr−1 covering an area of 4.10%, 23.00%, 10.70%, 45.40%, and 16.70% respectively. These findings provide a foundational benchmark for targeted soil conservation and sustainable land management by highlighting the role of targeted, watershed-specific TSLL in enhancing ecosystem resilience.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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