Predicting soil erosion risk using the revised universal soil loss equation (RUSLE) model and geo‐spatial methods

Author:

Naqvi Syed Ali Asad1ORCID,Tariq Aqil2ORCID,Shahzad Mudsar1,Khalid Shoaib1,Tariq Zara3,Salma Ume4,Haseeb Muhammad5,Soufan Walid6

Affiliation:

1. Department of Geography Government College University Faisalabad Faisalabad Pakistan

2. Department of Wildlife, Fisheries and Aquaculture, College of Forest Resource Mississippi State University Starkville Mississippi USA

3. Department of Geography Government College University Lahore Pakistan

4. Department of Earth Sciences University of Sargodha Sargodha Pakistan

5. Department of Space Science University of the Punjab Lahore Pakistan

6. Plant Production Department, College of Food and Agriculture Sciences King Saud University Riyadh Saudi Arabia

Abstract

AbstractAnthropogenic activities like overgrazing, deforestation and mismanaged land use accelerate soil erosion (SE), causing nutritional and organic matter loss. In this study, we predicted the annual rate of soil loss in the Salt Range, extending south from the Pothohar plateau, Pakistan, using the Revised Universal Soil Loss Equation (RUSLE). The RUSLE model parameters and erosion probability zones were estimated using remote sensing and Geo‐Spatial methods. The annual average soil loss rates were calculated by considering five geo‐environmental factors, that is, slope length and steepness (LS), rainfall erosivity (R), cover management (C), soil erodibility (K), and conservation practice (P) range from 0–559 527, 1404–4431, 0–1, −0.14 to 1.64, and 0.2–122 respectively. This research determined that the yearly average rate of SE in the Salt Range varies from over 50 to above 350 . The distribution of land area across different SE probability zones reveals that a small portion (2.11%) is classified as High, a moderate portion (7.13%) falls under the category of Moderate, while the majority (90.7%) is classified as Low in terms of proneness towards erosion. The land devoid of vegetation and characterized by steep slopes is especially prone to SE. The Salt Range is highly vulnerable to SE risk due to climatic variations and improper land use practices. The result provides a spatial distribution of SE across the salt range, utilized for management planning processes and conservation at the policy level among decision‐makers and land‐use planners.

Funder

King Saud University

Publisher

Wiley

Reference86 articles.

1. Estimation of potential rainfall recharge in the Pothwar area;Afzal M.;Technical Journal, University of Engineering and Technology (UET) Taxila, Pakistan,2015

2. Soil and human security in the 21st century

3. Soil erosion in developing countries: a socio-economic appraisal

4. Forage production and nutritional quality of grasses in mesic climate of Pothwar plateau, Rawalpindi;Arshadullah M.;Journal of Animal and Plant Sciences,2012

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