Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment

Tracer-aided rainfall-runoff modelling is a promising tool for understanding catchment hydrology, particularly when tracers provide information about coupled hydrological-biogeochemical processes. Such models allow for predicting the quality and quantity of water under changing climatic and anthropo...

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Prif Awdur: Pesántez, Juan (author)
Awduron Eraill: Birkel, Christian (author), Gaona, Gabriel (author), Arciniega-Esparza, Saúl (author), Murray, Desneiges S. (author), Mosquera, Giovanny M. (author), Célleri, Rolando (author), Mora, Enma (author), Crespo, Patricio (author)
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Cyhoeddwyd: 2023
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author Pesántez, Juan
author2 Birkel, Christian
Gaona, Gabriel
Arciniega-Esparza, Saúl
Murray, Desneiges S.
Mosquera, Giovanny M.
Célleri, Rolando
Mora, Enma
Crespo, Patricio
author2_role author
author
author
author
author
author
author
author
author_facet Pesántez, Juan
Birkel, Christian
Gaona, Gabriel
Arciniega-Esparza, Saúl
Murray, Desneiges S.
Mosquera, Giovanny M.
Célleri, Rolando
Mora, Enma
Crespo, Patricio
author_role author
collection Repositorio Universidad Regional Amazónica
dc.creator.none.fl_str_mv Pesántez, Juan
Birkel, Christian
Gaona, Gabriel
Arciniega-Esparza, Saúl
Murray, Desneiges S.
Mosquera, Giovanny M.
Célleri, Rolando
Mora, Enma
Crespo, Patricio
dc.date.none.fl_str_mv 2023
2024-01-17T22:34:50Z
2024-01-17T22:34:50Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Pesántez, J., Birkel, C., Gaona, G., Arciniega-Esparza, S., Murray, D. S., Mosquera, G. M., Célleri, R., Mora, E., & Crespo, P. (2023). Spatially distributed tracer‐aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment. Hydrological Processes, 37(11)e15020. https://doi.org/10.1002/hyp.15020
1099-1085
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/741
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Scopus
dc.relation.none.fl_str_mv PRODUCCIÓN CIENTÍFICA-ARTÍCULO CIENTÍFICO;A-IKIAM-000486
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Regional Amazónica
instname:Universidad Regional Amazónica
instacron:IKIAM
dc.subject.none.fl_str_mv Andes
Carbon Production
Histosols
Páramo
Spatially Distributed Modelling
Tropical Alpine
dc.title.none.fl_str_mv Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Tracer-aided rainfall-runoff modelling is a promising tool for understanding catchment hydrology, particularly when tracers provide information about coupled hydrological-biogeochemical processes. Such models allow for predicting the quality and quantity of water under changing climatic and anthropogenic conditions. Here, we present the Spatially-distributed Tracer-Aided Rainfall-Runoff model with a coupled biogeochemical reactive tracer module (STARR-DOC) to simulate dissolved organic carbon (DOC) dynamics and sources. The STARR-DOC model was developed and tested for a humid high Andean ecosystem (páramo) using high-resolution hourly DOC and hydrometeorological data to simulate hourly discharge and DOC at a fine spatial (10 × 10 m) resolution. Overall, the model was able to acceptably reproduce discharge (KGE ~ 0.45) and stream DOC (KGE ~ 0.69) dynamics. Spatially distributed DOC simulations were independently compared using point DOC measurements for different soil types across the catchment, which allowed for identifying DOC production hot spots and hot moments. Results showed higher hydrological connectivity between slopes and valleys with increasing precipitation. Wetter conditions also favoured DOC production (wet month = 82 mg L−1, dry month = 5 mg L−1) and transport to the stream network (DOC concentrations: during events ~15 mg L−1, during baseflows ~4 mg L−1). Our results also suggest that minor changes in meteorological conditions directly affect páramo soil water dynamics and biogeochemistry. Knowledge of when and where DOC production in mountain catchments is greatest is important for water managers to understand when they make decisions about water security, especially considering climate change predictions for the Andean region.
eu_rights_str_mv openAccess
format article
id IKIAM_ccdc5cf087b55faca037039e3ddbc09e
identifier_str_mv Pesántez, J., Birkel, C., Gaona, G., Arciniega-Esparza, S., Murray, D. S., Mosquera, G. M., Célleri, R., Mora, E., & Crespo, P. (2023). Spatially distributed tracer‐aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment. Hydrological Processes, 37(11)e15020. https://doi.org/10.1002/hyp.15020
1099-1085
instacron_str IKIAM
institution IKIAM
instname_str Universidad Regional Amazónica
language_invalid_str_mv en
network_acronym_str IKIAM
network_name_str Repositorio Universidad Regional Amazónica
oai_identifier_str oai:repositorio.ikiam.edu.ec:RD_IKIAM/741
publishDate 2023
publisher.none.fl_str_mv Scopus
reponame_str Repositorio Universidad Regional Amazónica
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Regional Amazónica - Universidad Regional Amazónica
repository_id_str 0
spelling Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchmentPesántez, JuanBirkel, ChristianGaona, GabrielArciniega-Esparza, SaúlMurray, Desneiges S.Mosquera, Giovanny M.Célleri, RolandoMora, EnmaCrespo, PatricioAndesCarbon ProductionHistosolsPáramoSpatially Distributed ModellingTropical AlpineTracer-aided rainfall-runoff modelling is a promising tool for understanding catchment hydrology, particularly when tracers provide information about coupled hydrological-biogeochemical processes. Such models allow for predicting the quality and quantity of water under changing climatic and anthropogenic conditions. Here, we present the Spatially-distributed Tracer-Aided Rainfall-Runoff model with a coupled biogeochemical reactive tracer module (STARR-DOC) to simulate dissolved organic carbon (DOC) dynamics and sources. The STARR-DOC model was developed and tested for a humid high Andean ecosystem (páramo) using high-resolution hourly DOC and hydrometeorological data to simulate hourly discharge and DOC at a fine spatial (10 × 10 m) resolution. Overall, the model was able to acceptably reproduce discharge (KGE ~ 0.45) and stream DOC (KGE ~ 0.69) dynamics. Spatially distributed DOC simulations were independently compared using point DOC measurements for different soil types across the catchment, which allowed for identifying DOC production hot spots and hot moments. Results showed higher hydrological connectivity between slopes and valleys with increasing precipitation. Wetter conditions also favoured DOC production (wet month = 82 mg L−1, dry month = 5 mg L−1) and transport to the stream network (DOC concentrations: during events ~15 mg L−1, during baseflows ~4 mg L−1). Our results also suggest that minor changes in meteorological conditions directly affect páramo soil water dynamics and biogeochemistry. Knowledge of when and where DOC production in mountain catchments is greatest is important for water managers to understand when they make decisions about water security, especially considering climate change predictions for the Andean region.Scopus2024-01-17T22:34:50Z2024-01-17T22:34:50Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPesántez, J., Birkel, C., Gaona, G., Arciniega-Esparza, S., Murray, D. S., Mosquera, G. M., Célleri, R., Mora, E., & Crespo, P. (2023). Spatially distributed tracer‐aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment. Hydrological Processes, 37(11)e15020. https://doi.org/10.1002/hyp.150201099-1085http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/741enPRODUCCIÓN CIENTÍFICA-ARTÍCULO CIENTÍFICO;A-IKIAM-000486info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Regional Amazónicainstname:Universidad Regional Amazónicainstacron:IKIAM2024-01-18T08:00:29Zoai:repositorio.ikiam.edu.ec:RD_IKIAM/741Institucionalhttps://repositorio.ikiam.edu.ec/Universidad públicahttps://www.ikiam.edu.ec/https://repositorio.ikiam.edu.ec/oaiEcuador...opendoar:02024-01-18T08:00:29falseInstitucionalhttps://repositorio.ikiam.edu.ec/Universidad públicahttps://www.ikiam.edu.ec/https://repositorio.ikiam.edu.ec/oai.Ecuador...opendoar:02024-01-18T08:00:29Repositorio Universidad Regional Amazónica - Universidad Regional Amazónicafalse
spellingShingle Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
Pesántez, Juan
Andes
Carbon Production
Histosols
Páramo
Spatially Distributed Modelling
Tropical Alpine
status_str publishedVersion
title Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
title_full Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
title_fullStr Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
title_full_unstemmed Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
title_short Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
title_sort Spatially distributed tracer-aided modelling to explore DOC dynamics, hot spots and hot moments in a tropical mountain catchment
topic Andes
Carbon Production
Histosols
Páramo
Spatially Distributed Modelling
Tropical Alpine
url http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/741