Articles | Volume 26, issue 2
https://doi.org/10.5194/hess-26-429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2022
Research article |
| 31 Jan 2022
| 31 Jan 2022
Watershed zonation through hillslope clustering for tractably quantifying above- and below-ground watershed heterogeneity and functions
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Sebastian Uhlemann
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Maya Franklin
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Nicola Falco
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Nicholas J. Bouskill
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Michelle E. Newcomer
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Baptiste Dafflon
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Erica R. Siirila-Woodburn
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Burke J. Minsley
U.S. Geological Survey, Denver, CO 80225, USA
Kenneth H. Williams
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Rocky Mountain Biological Laboratory, Crested Butte, CO 81224, USA
Susan S. Hubbard
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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- From legacy contamination to watershed systems science: a review of scientific insights and technologies developed through DOE-supported research in water and energy security D. Dwivedi et al. 10.1088/1748-9326/ac59a9
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- Identifying control factors of hydrological behavior through catchment classification in Mainland of China H. Xu et al. 10.1016/j.jhydrol.2024.132206
- Application of Machine Learning in Water Resources Management: A Systematic Literature Review F. Ghobadi & D. Kang 10.3390/w15040620
- Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope S. Uhlemann et al. 10.1029/2023WR036137
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Latest update: 30 May 2025
Short summary
This paper has developed a tractable approach for characterizing watershed heterogeneity and its relationship with key functions such as ecosystem sensitivity to droughts and nitrogen export. We have applied clustering methods to classify hillslopes into
watershed zonesthat have distinct distributions of bedrock-to-canopy properties as well as key functions. This is a powerful approach for guiding watershed experiments and sampling as well as informing hydrological and biogeochemical models.
This paper has developed a tractable approach for characterizing watershed heterogeneity and its...
