The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets
Open accessAbstract
The policy requests to develop trends in soil erosion changes can be responded developing modelling scenarios of the two most dynamic factors in soil erosion, i.e. rainfall erosivity and land cover change. The recently developed Rainfall Erosivity Database at European Scale (REDES) and a statistical approach used to spatially interpolate rainfall erosivity data have the potential to become useful knowledge to predict future rainfall erosivity based on climate scenarios. The use of a thorough statistical modelling approach (Gaussian Process Regression), with the selection of the most appropriate covariates (monthly precipitation, temperature datasets and bioclimatic layers), allowed to predict the rainfall erosivity based on climate change scenarios. The mean rainfall erosivity for the European Union and Switzerland is projected to be 857 MJ mm ha −1 h −1 yr −1 till 2050 showing a relative increase of 18% compared to baseline data (2010). The changes are heterogeneous in the European continent depending on the future projections of most erosive months (hot period: April–September). The output results report a pan-European projection of future rainfall erosivity taking into account the uncertainties of the climatic models.
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Cites
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., Kendon, E. J., Lenderink, G., & Roberts, N. M. (2014) · Reviews of Geophysics · doi:10.1002/2014rg000464 · Cited by 1,533
Cited by
Global Aquaculture Productivity, Environmental Sustainability, and Climate Change Adaptability
Ahmed, N., Thompson, S., & Glaser, M. (2019) · Environmental Management · doi:10.1007/s00267-018-1117-3 · Cited by 474
Projections of soil loss by water erosion in Europe by 2050
Panagos, P., Ballabio, C., Himics, M., Scarpa, S., Matthews, F., Bogonos, M., Poesen, J., & Borrelli, P. (2021) · Environmental Science & Policy · doi:10.1016/j.envsci.2021.07.012 · Cited by 283
Self-citationHow soil erosion model conceptualization affects soil loss projections under climate change
Eekhout, J. P., & De Vente, J. (2020) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133319871937 · Cited by 56
Metadata
- Authors
- Panagos, P., Ballabio, C., Meusburger, K., Spinoni, J., Alewell, C., & Borrelli, P.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 548
- Pages
- 251-262
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2592316227
- Cited by
- 192
- References
- 2
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Panagos, P., Ballabio, C., Meusburger, K., Spinoni, J., Alewell, C., & Borrelli, P. (2017). Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2017.03.006
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