Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds

Shogren, Arial J.; Zarnetske, Jay P.; Abbott, Benjamin W.; Bratsman, Samuel; Brown, Brian; Carey, Michael P.; Fulweber, Randy; Greaves, Heather E.; Haines, Emma; Iannucci, Frances; Koch, Joshua C.; Medvedeff, Alexander; O'Donnell, Jonathan A.; Patch, Leika; Poulin, Brett A.; Williamson, Tanner J.; Bowden, William B.

doi:https://doi.org/10.5194/essd-14-95-2022

Articles | Volume 14, issue 1

https://doi.org/10.5194/essd-14-95-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Extreme environment datasets for the three poles

https://doi.org/10.5194/essd-14-95-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Review article

|

14 Jan 2022

Review article |

| 14 Jan 2022

Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds

Arial J. Shogren, Jay P. Zarnetske, Benjamin W. Abbott, Samuel Bratsman, Brian Brown, Michael P. Carey, Randy Fulweber, Heather E. Greaves, Emma Haines, Frances Iannucci, Joshua C. Koch, Alexander Medvedeff, Jonathan A. O'Donnell, Leika Patch, Brett A. Poulin, Tanner J. Williamson, and William B. Bowden

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Cumulative views and downloads (calculated since 14 Jun 2021)

Month	HTML	PDF	XML	Total
Jun 2021	172	51	4	227
Jul 2021	93	19	3	115
Aug 2021	105	26	9	140
Sep 2021	29	10	0	39
Oct 2021	35	27	0	62
Nov 2021	52	16	5	73
Dec 2021	28	14	2	44
Jan 2022	301	58	4	363
Feb 2022	196	30	5	231
Mar 2022	72	20	1	93
Apr 2022	45	24	1	70
May 2022	23	24	1	48
Jun 2022	44	14	2	60
Jul 2022	89	13	1	103
Aug 2022	91	14	1	106
Sep 2022	47	12	1	60
Oct 2022	69	18	3	90
Nov 2022	31	13	1	45
Dec 2022	40	18	0	58
Jan 2023	38	23	0	61
Feb 2023	33	16	2	51
Mar 2023	40	13	1	54
Apr 2023	32	20	2	54
May 2023	33	19	0	52
Jun 2023	0

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Short summary

Rapidly sampling multiple points in an entire river network provides a high-resolution snapshot in time that can reveal where nutrients and carbon are being taken up and released. Here, we describe two such datasets of river network chemistry in six Arctic watersheds in northern Alaska. We describe how these repeated snapshots can be used as an indicator of ecosystem response to climate change and to improve predictions of future release of carbon, nutrient, and other solutes.


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