Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Monthly RUSLE soil erosion risk of Swiss grasslands
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4507220
Author(s) Schmidt, Simon; Alewell, Christine; Meusburger, Katrin
Author(s) at UniBasel Schmidt, Simon
Alewell, Christine
Year 2019
Title Monthly RUSLE soil erosion risk of Swiss grasslands
Journal Journal of Maps
Volume 15
Number 2
Pages / Article-Number 247-256
Keywords Soil loss, modelling, revised universal soil loss equation, Switzerland
Abstract This study presents the first mapping of soil erosion risk modelling based on the Revised Universal Soil Loss Equation (RUSLE) at a sub-annual (monthly) temporal resolution and national scale (100 m spatial resolution). The monthly maps show highest water erosion rates on Swiss grasslands in August (1.25 t ha -1 month -1 ). In summer, the mean monthly soil loss by water erosion is 48 times higher than the mean soil loss in winter. Considering the annual average fraction of green vegetation cover of 54%, the predicted soil erosion rate for the Swiss national grassland area would add up to a total eroded soil mass of 5.26 Mt yr -1. The RUSLE application with an intact 100% vegetation cover would largely reduce the soil loss to an average annual rate of 0.14 t ha -1 year -1 . These findings clearly highlight the importance to consider and maintain the current status of the vegetation cover for soil erosion prediction and soil conservation, respectively.
Publisher Taylor & Francis
ISSN/ISBN 1744-5647
URL https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1585980
edoc-URL https://edoc.unibas.ch/70736/
Full Text on edoc Available
Digital Object Identifier DOI 10.1080/17445647.2019.1585980
ISI-Number WOS:000465720400001
Document type (ISI) Article
Top-publication of... Schmidt, Simon
 
   

MCSS v5.8 PRO. 0.331 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
29/03/2024