Imperial College London
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ProfessorWouterBuytaert

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor in Hydrology and Water Resources
 
 
 
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Contact

 

+44 (0)20 7594 1329w.buytaert Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

403ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Drenkhan:2022:10.5194/egusphere-egu22-6695,
author = {Drenkhan, F and Martínez, Mendoza M and Ross, A and Montoya, N and Baiker, JR and Buytaert, W},
doi = {10.5194/egusphere-egu22-6695},
title = {Seasonal water storage dynamics of tropical high-Andean wetlands in Peru},
url = {http://dx.doi.org/10.5194/egusphere-egu22-6695},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>&lt;p&gt;Tropical high-Andean wetlands, locally called bofedales, represent key ecosystems sustaining biodiversity, carbon sequestration, human water provision and fodder production for livestock farming. They are highly sensitive to climatic and anthropogenic disturbances, such as changes in precipitation patterns, glacier retreat and peat extraction, and are thus of major concern for watershed management. However, the eco-hydrological dynamics and responses of bofedales to impacts from global change are little explored.&lt;/p&gt;&lt;p&gt;In this study we map seasonal bofedales extent in the glaciated Vilcanota-Urubamba basin (Southern Peru) at unprecedented spatial resolution in the region. Therefore, we developed a supervised classification based on the Machine Learning algorithm Random Forest. As a baseline, Sentinel-2 MSI Surface Reflectance imagery between 2020 and 2021 and NASADEM elevation data were included. A total of 27 vegetation and topographic indices were computed and iteratively selected with cross-validated feature selection. As a result, the Wide Dynamic Range Vegetation Index, Normalised Difference Infrared Index and Compound Topographic Index adopt a major role for successful wetland extent classification. We identify a total wetland area of 282 km&amp;#178; (630 km&amp;#178;) at the end of the dry (wet) season in 2020 (2021). The observed high seasonal variability in bofedales extent within the study region suggests the presence of a pronounced intra-annual hydrological regime of drying, soaking and wetting.&lt;/p&gt;&lt;p&gt;For a more thorough assessment of the suggested pattern, we combined borehole water level and outlet river stage data from an arduino sensor network covering five bofedales sites in two micro-watersheds. These confirmed distinct wetting and drying regimes with all levels reducing and increasing during the dry and we
AU  - Drenkhan,F
AU  - Martínez,Mendoza M
AU  - Ross,A
AU  - Montoya,N
AU  - Baiker,JR
AU  - Buytaert,W
DO  - 10.5194/egusphere-egu22-6695
PY  - 2022///
TI  - Seasonal water storage dynamics of tropical high-Andean wetlands in Peru
UR  - http://dx.doi.org/10.5194/egusphere-egu22-6695
ER  -
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