Preprints
https://doi.org/10.5194/hess-2021-457
https://doi.org/10.5194/hess-2021-457
20 Sep 2021
 | 20 Sep 2021
Status: this preprint was under review for the journal HESS but the revision was not accepted.

Improving the agricultural erosion management in Finland through high-resolution data

Timo A. Räsänen, Mika Tähtikarhu, Jaana Uusi-Kämppä, Sirpa Piirainen, and Eila Turtola

Abstract. Soil erosion reduces the sustainability of agricultural sector by loss of productive soil and through negative impacts on surface waters. In Finland, considerable efforts have been made to reduce soil erosion, but the suspended sediment loads to surface waters have not markedly reduced. A major limitation has been the lack of high-resolution data on erosion risk for efficient targeting of the erosion management efforts. In this study, by using the Revised Universal Soil Loss Equation (RUSLE) a two-meter resolution erosion risk data was developed and consequently the spatial distribution of the erosion risk of Finnish agricultural land was analysed. With agricultural management practices of 2019, the average erosion of agricultural land was estimated to be 430 kg ha−1 yr−1, and it varied at the municipality scale from 100 to 1290 kg ha−1 yr−1. At more local scales the erosion risk had even greater variability, and areas with high erosion risk were differently located in terms distances to water bodies. The results also suggest that the past erosion management efforts have not been well-targeted according to the actual erosion risk. Altogether, the results indicate that erosion mitigation measures can be improved by inclusion of high-resolution data in the planning and implementation of the measures, by considering the spatial variability of the erosion risk over multiple spatial scales, and by implementation of location specific erosion reduction measures.

Timo A. Räsänen, Mika Tähtikarhu, Jaana Uusi-Kämppä, Sirpa Piirainen, and Eila Turtola

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • EC1: 'Comment on hess-2021-457', Christian Stamm, 18 Oct 2021
    • AC1: 'Reply on EC1', Timo Räsänen, 10 Dec 2021
  • RC1: 'Comment on hess-2021-457', Anonymous Referee #1, 25 Oct 2021
    • AC2: 'Reply on RC1', Timo Räsänen, 10 Dec 2021
  • RC2: 'Comment on hess-2021-457', Pedro Batista, 01 Nov 2021
    • AC3: 'Reply on RC2', Timo Räsänen, 10 Dec 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • EC1: 'Comment on hess-2021-457', Christian Stamm, 18 Oct 2021
    • AC1: 'Reply on EC1', Timo Räsänen, 10 Dec 2021
  • RC1: 'Comment on hess-2021-457', Anonymous Referee #1, 25 Oct 2021
    • AC2: 'Reply on RC1', Timo Räsänen, 10 Dec 2021
  • RC2: 'Comment on hess-2021-457', Pedro Batista, 01 Nov 2021
    • AC3: 'Reply on RC2', Timo Räsänen, 10 Dec 2021
Timo A. Räsänen, Mika Tähtikarhu, Jaana Uusi-Kämppä, Sirpa Piirainen, and Eila Turtola
Timo A. Räsänen, Mika Tähtikarhu, Jaana Uusi-Kämppä, Sirpa Piirainen, and Eila Turtola

Viewed

Total article views: 1,362 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
916 412 34 1,362 88 24 27
  • HTML: 916
  • PDF: 412
  • XML: 34
  • Total: 1,362
  • Supplement: 88
  • BibTeX: 24
  • EndNote: 27
Views and downloads (calculated since 20 Sep 2021)
Cumulative views and downloads (calculated since 20 Sep 2021)

Viewed (geographical distribution)

Total article views: 1,301 (including HTML, PDF, and XML) Thereof 1,301 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Mar 2024
Download
Short summary
A high-resolution erosion risk data was developed for improving the agricultural erosion management in Finland. The average erosion was estimated to be 430 kg ha−1 yr−1, and it varied at municipality scale from 100 to 1290 kg ha−1 yr−1. The results suggest that erosion management can be improved by taking advantage of the developed data, by considering the spatial variability of the erosion risk over multiple spatial scales, and by implementing location specific erosion reduction measures.