Cargando…
Watershed carbon yield derived from gauge observations and river network connectivity in the United States
River networks play a critical role in the global carbon cycle. Although global/continental scale riverine carbon cycle studies demonstrate the significance of rivers and streams for linking land and coastal regions, the lack of spatially distributed riverine carbon load data represents a gap for qu...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182987/ https://www.ncbi.nlm.nih.gov/pubmed/37179379 http://dx.doi.org/10.1038/s41597-023-02162-7 |
_version_ | 1785041862000640000 |
---|---|
author | Qiu, Han Zhang, Xuesong Yang, Anni Wickland, Kimberly P. Stets, Edward G. Chen, Min |
author_facet | Qiu, Han Zhang, Xuesong Yang, Anni Wickland, Kimberly P. Stets, Edward G. Chen, Min |
author_sort | Qiu, Han |
collection | PubMed |
description | River networks play a critical role in the global carbon cycle. Although global/continental scale riverine carbon cycle studies demonstrate the significance of rivers and streams for linking land and coastal regions, the lack of spatially distributed riverine carbon load data represents a gap for quantifying riverine carbon net gain or net loss in different regions, understanding mechanisms and factors that influence the riverine carbon cycle, and testing simulations of aquatic carbon cycle models at fine scales. Here, we (1) derive the riverine load of particulate organic carbon (POC) and dissolved organic carbon (DOC) for over 1,000 hydrologic stations across the Conterminous United States (CONUS) and (2) use the river network connectivity information for over 80,000 catchment units within the National Hydrography Dataset Plus (NHDPlus) to estimate riverine POC and DOC net gain or net loss for watersheds controlled between upstream-downstream hydrologic stations. The new riverine carbon load and watershed net gain/loss represent a unique contribution to support future studies for better understanding and quantification of riverine carbon cycles. |
format | Online Article Text |
id | pubmed-10182987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101829872023-05-15 Watershed carbon yield derived from gauge observations and river network connectivity in the United States Qiu, Han Zhang, Xuesong Yang, Anni Wickland, Kimberly P. Stets, Edward G. Chen, Min Sci Data Data Descriptor River networks play a critical role in the global carbon cycle. Although global/continental scale riverine carbon cycle studies demonstrate the significance of rivers and streams for linking land and coastal regions, the lack of spatially distributed riverine carbon load data represents a gap for quantifying riverine carbon net gain or net loss in different regions, understanding mechanisms and factors that influence the riverine carbon cycle, and testing simulations of aquatic carbon cycle models at fine scales. Here, we (1) derive the riverine load of particulate organic carbon (POC) and dissolved organic carbon (DOC) for over 1,000 hydrologic stations across the Conterminous United States (CONUS) and (2) use the river network connectivity information for over 80,000 catchment units within the National Hydrography Dataset Plus (NHDPlus) to estimate riverine POC and DOC net gain or net loss for watersheds controlled between upstream-downstream hydrologic stations. The new riverine carbon load and watershed net gain/loss represent a unique contribution to support future studies for better understanding and quantification of riverine carbon cycles. Nature Publishing Group UK 2023-05-13 /pmc/articles/PMC10182987/ /pubmed/37179379 http://dx.doi.org/10.1038/s41597-023-02162-7 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Qiu, Han Zhang, Xuesong Yang, Anni Wickland, Kimberly P. Stets, Edward G. Chen, Min Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title | Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title_full | Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title_fullStr | Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title_full_unstemmed | Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title_short | Watershed carbon yield derived from gauge observations and river network connectivity in the United States |
title_sort | watershed carbon yield derived from gauge observations and river network connectivity in the united states |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182987/ https://www.ncbi.nlm.nih.gov/pubmed/37179379 http://dx.doi.org/10.1038/s41597-023-02162-7 |
work_keys_str_mv | AT qiuhan watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates AT zhangxuesong watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates AT yanganni watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates AT wicklandkimberlyp watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates AT stetsedwardg watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates AT chenmin watershedcarbonyieldderivedfromgaugeobservationsandrivernetworkconnectivityintheunitedstates |