Assessment and Mapping of Soils Erosion and Crop Loss by Impact of Heavy Rainfall in Northern Dry Zone of Karnataka, India
The distribution of rainfall may be adequate or inadequately affected by climate change in the arid and semi-arid regions of India. Excess rainfall in a dry region and undulating topography cause more soil erosion and crop loss in a particular year. The current study used the Revised Universal Soil...
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description | The distribution of rainfall may be adequate or inadequately affected by climate change in the arid and semi-arid regions of India. Excess rainfall in a dry region and undulating topography cause more soil erosion and crop loss in a particular year. The current study used the Revised Universal Soil Loss Equation (RUSLE) in heavy rainfall zones in conjunction with Remote Sensing (RS) and GIS to create the soil erosion map in the Almarshikeri 2 micro watershed. The RUSLE model incorporated a number of parameters for soil erosion assessment, such as soil erodibility (K), rainfall erosivity (R), slope steepness and length (LS), land use and land cover (C), and conservation measures (P). A 563 hectare watershed estimated soil loss is 114.68 tons. Assessment of soil loss in different landforms shows that average erosion is 5.92 t ha
−1
from lowland and total loss from upland is 41.99 tons. Whereas, in soil types, the average range was from 4.30 to 4.79 t ha
−1
and total soil losses were 46.39 tons in black soil, followed by red (32.87), brown (21.50), and problem soil (13.92). In major land use systems, soil erosion is severe in cotton and groundnut cropping system. Similarly, crop loss is higher in the lowland (23.14%) and midland (22.50%) compared with the upland (14.73%). The quantitative maximums of agricultural yield loss from groundnuts (− 54.98%), cotton (− 44.59%), ragi (− 40%), and maize (− 31.73%) are affected by heavy rains. Quantifying soil and crop loss will help adopt different soil conservation practices and crop management strategies in the watershed. |
doi_str_mv | 10.1007/s12524-024-01840-2 |
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−1
from lowland and total loss from upland is 41.99 tons. Whereas, in soil types, the average range was from 4.30 to 4.79 t ha
−1
and total soil losses were 46.39 tons in black soil, followed by red (32.87), brown (21.50), and problem soil (13.92). In major land use systems, soil erosion is severe in cotton and groundnut cropping system. Similarly, crop loss is higher in the lowland (23.14%) and midland (22.50%) compared with the upland (14.73%). The quantitative maximums of agricultural yield loss from groundnuts (− 54.98%), cotton (− 44.59%), ragi (− 40%), and maize (− 31.73%) are affected by heavy rains. Quantifying soil and crop loss will help adopt different soil conservation practices and crop management strategies in the watershed.</description><identifier>ISSN: 0255-660X</identifier><identifier>EISSN: 0974-3006</identifier><identifier>DOI: 10.1007/s12524-024-01840-2</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Arid zones ; Climate change ; Conservation practices ; corn ; Cotton ; crop losses ; Crop management ; Cropping systems ; Crops ; Earth and Environmental Science ; Earth Sciences ; Eleusine coracana subsp. coracana ; erodibility ; Excess rainfall ; Groundnuts ; highlands ; India ; Land conservation ; Land cover ; Land use ; land use and land cover maps ; Landforms ; peanuts ; rain ; Rainfall ; Remote sensing ; Remote Sensing/Photogrammetry ; Research Article ; Revised Universal Soil Loss Equation ; Semi arid areas ; Semiarid lands ; Slopes ; Soil conservation ; Soil erosion ; Soil types ; topographic slope ; Watersheds</subject><ispartof>Journal of the Indian Society of Remote Sensing, 2024-03, Vol.52 (3), p.593-607</ispartof><rights>Indian Society of Remote Sensing 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c303t-ed2acd0447e83efa7a9fc9829dd5259254133538a52604c72ea585600e38a1aa3</cites><orcidid>0000-0001-6587-5244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12524-024-01840-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12524-024-01840-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Srinivasan, R.</creatorcontrib><creatorcontrib>Maske, Sunil P.</creatorcontrib><creatorcontrib>Archana, K. V.</creatorcontrib><creatorcontrib>Ramamurthy, V.</creatorcontrib><creatorcontrib>Bhaskar, B. P.</creatorcontrib><title>Assessment and Mapping of Soils Erosion and Crop Loss by Impact of Heavy Rainfall in Northern Dry Zone of Karnataka, India</title><title>Journal of the Indian Society of Remote Sensing</title><addtitle>J Indian Soc Remote Sens</addtitle><description>The distribution of rainfall may be adequate or inadequately affected by climate change in the arid and semi-arid regions of India. Excess rainfall in a dry region and undulating topography cause more soil erosion and crop loss in a particular year. The current study used the Revised Universal Soil Loss Equation (RUSLE) in heavy rainfall zones in conjunction with Remote Sensing (RS) and GIS to create the soil erosion map in the Almarshikeri 2 micro watershed. The RUSLE model incorporated a number of parameters for soil erosion assessment, such as soil erodibility (K), rainfall erosivity (R), slope steepness and length (LS), land use and land cover (C), and conservation measures (P). A 563 hectare watershed estimated soil loss is 114.68 tons. Assessment of soil loss in different landforms shows that average erosion is 5.92 t ha
−1
from lowland and total loss from upland is 41.99 tons. Whereas, in soil types, the average range was from 4.30 to 4.79 t ha
−1
and total soil losses were 46.39 tons in black soil, followed by red (32.87), brown (21.50), and problem soil (13.92). In major land use systems, soil erosion is severe in cotton and groundnut cropping system. Similarly, crop loss is higher in the lowland (23.14%) and midland (22.50%) compared with the upland (14.73%). The quantitative maximums of agricultural yield loss from groundnuts (− 54.98%), cotton (− 44.59%), ragi (− 40%), and maize (− 31.73%) are affected by heavy rains. Quantifying soil and crop loss will help adopt different soil conservation practices and crop management strategies in the watershed.</description><subject>Arid zones</subject><subject>Climate change</subject><subject>Conservation practices</subject><subject>corn</subject><subject>Cotton</subject><subject>crop losses</subject><subject>Crop management</subject><subject>Cropping systems</subject><subject>Crops</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Eleusine coracana subsp. coracana</subject><subject>erodibility</subject><subject>Excess rainfall</subject><subject>Groundnuts</subject><subject>highlands</subject><subject>India</subject><subject>Land conservation</subject><subject>Land cover</subject><subject>Land use</subject><subject>land use and land cover maps</subject><subject>Landforms</subject><subject>peanuts</subject><subject>rain</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Research Article</subject><subject>Revised Universal Soil Loss Equation</subject><subject>Semi arid areas</subject><subject>Semiarid lands</subject><subject>Slopes</subject><subject>Soil conservation</subject><subject>Soil erosion</subject><subject>Soil types</subject><subject>topographic slope</subject><subject>Watersheds</subject><issn>0255-660X</issn><issn>0974-3006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtLxEAMx4so-PwCnga8eLCaefVxlHXVxVXBB4iXEtupVrszddIV1k_v1BUEDx5CQvL7h5B_FO1yOOQA6RFxoYWKYQieKYjFSrQBeapiCZCshlpoHScJPKxHm0Svoak0FxvR5zGRIZoZ2zO0FbvErmvsM3M1u3VNS2zsHTXOfg9H3nVs6ojY04JNZh2W_QCeG_xYsBtsbI1tyxrLrpzvX4y37MQv2KOzZsAu0Fvs8Q0P2MRWDW5Ha4Ens_OTt6L70_Hd6DyeXp9NRsfTuJQg-9hUAssKlEpNJk2NKeZ1mWciryotdC604lJqmaEWCagyFQZ1phMAE3ocUW5F-8u9nXfvc0N9MWuoNG2L1rg5FZJrqbM0VTqge3_QVzcPV7eBApWlSkguAiWWVBl-Q97UReebGfpFwaEY7CiWdhQwxGBHMYjkUkQBts_G_67-R_UF-EWLzg</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Srinivasan, R.</creator><creator>Maske, Sunil P.</creator><creator>Archana, K. V.</creator><creator>Ramamurthy, V.</creator><creator>Bhaskar, B. P.</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-6587-5244</orcidid></search><sort><creationdate>20240301</creationdate><title>Assessment and Mapping of Soils Erosion and Crop Loss by Impact of Heavy Rainfall in Northern Dry Zone of Karnataka, India</title><author>Srinivasan, R. ; Maske, Sunil P. ; Archana, K. V. ; Ramamurthy, V. ; Bhaskar, B. 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V.</creatorcontrib><creatorcontrib>Ramamurthy, V.</creatorcontrib><creatorcontrib>Bhaskar, B. P.</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of the Indian Society of Remote Sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Srinivasan, R.</au><au>Maske, Sunil P.</au><au>Archana, K. V.</au><au>Ramamurthy, V.</au><au>Bhaskar, B. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment and Mapping of Soils Erosion and Crop Loss by Impact of Heavy Rainfall in Northern Dry Zone of Karnataka, India</atitle><jtitle>Journal of the Indian Society of Remote Sensing</jtitle><stitle>J Indian Soc Remote Sens</stitle><date>2024-03-01</date><risdate>2024</risdate><volume>52</volume><issue>3</issue><spage>593</spage><epage>607</epage><pages>593-607</pages><issn>0255-660X</issn><eissn>0974-3006</eissn><abstract>The distribution of rainfall may be adequate or inadequately affected by climate change in the arid and semi-arid regions of India. Excess rainfall in a dry region and undulating topography cause more soil erosion and crop loss in a particular year. The current study used the Revised Universal Soil Loss Equation (RUSLE) in heavy rainfall zones in conjunction with Remote Sensing (RS) and GIS to create the soil erosion map in the Almarshikeri 2 micro watershed. The RUSLE model incorporated a number of parameters for soil erosion assessment, such as soil erodibility (K), rainfall erosivity (R), slope steepness and length (LS), land use and land cover (C), and conservation measures (P). A 563 hectare watershed estimated soil loss is 114.68 tons. Assessment of soil loss in different landforms shows that average erosion is 5.92 t ha
−1
from lowland and total loss from upland is 41.99 tons. Whereas, in soil types, the average range was from 4.30 to 4.79 t ha
−1
and total soil losses were 46.39 tons in black soil, followed by red (32.87), brown (21.50), and problem soil (13.92). In major land use systems, soil erosion is severe in cotton and groundnut cropping system. Similarly, crop loss is higher in the lowland (23.14%) and midland (22.50%) compared with the upland (14.73%). The quantitative maximums of agricultural yield loss from groundnuts (− 54.98%), cotton (− 44.59%), ragi (− 40%), and maize (− 31.73%) are affected by heavy rains. Quantifying soil and crop loss will help adopt different soil conservation practices and crop management strategies in the watershed.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12524-024-01840-2</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-6587-5244</orcidid></addata></record> |
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subjects | Arid zones Climate change Conservation practices corn Cotton crop losses Crop management Cropping systems Crops Earth and Environmental Science Earth Sciences Eleusine coracana subsp. coracana erodibility Excess rainfall Groundnuts highlands India Land conservation Land cover Land use land use and land cover maps Landforms peanuts rain Rainfall Remote sensing Remote Sensing/Photogrammetry Research Article Revised Universal Soil Loss Equation Semi arid areas Semiarid lands Slopes Soil conservation Soil erosion Soil types topographic slope Watersheds |
title | Assessment and Mapping of Soils Erosion and Crop Loss by Impact of Heavy Rainfall in Northern Dry Zone of Karnataka, India |
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