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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2023
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Mynediad Ar-lein: | http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/741 |
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Ychwanegu Tag
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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 |