Jarvis, Nicholas
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Abstract
Due to inadequate data support, existing algorithms used to estimate soil hydraulic conductivity, K, in (eco)hydrological models ignore the effects of key site factors such as land use and climate and underplay the significant effects of soil structure on water flow at and near saturation. These limitations may introduce serious bias and error into predictions of terrestrial water balances and soil moisture status, and thus plant growth and rates of biogeochemical processes. To resolve these issues, we collated a new global database of hydraulic conductivity measured by tension infiltrometer under field conditions. The results of our analyses on this data set contrast markedly with those of existing algorithms used to estimate K. For example, saturated hydraulic conductivity, K-s, in the topsoil (
Published in
Hydrology and Earth System Sciences
2013, volume: 17, number: 12, pages: 5185-5195
Publisher: COPERNICUS GESELLSCHAFT MBH
SLU Authors
Koestel, Johannes
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Messing, Ingmar
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Moeys, Julien
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Lindahl, Anna
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Department of Soil and Environment, Swedish University of Agricultural Sciences
UKÄ Subject classification
Soil Science
Publication identifier
- DOI: https://doi.org/10.5194/hess-17-5185-2013
Permanent link to this page (URI)
https://res.slu.se/id/publ/52429