Dissolved organic matter in major rivers across the Pan-Arctic from remote sensing

dc.contributor.advisorMcClelland, James W.
dc.contributor.committeeMemberFrey, Karen E
dc.contributor.committeeMemberGardner, Wayne S
dc.contributor.committeeMemberLiu, Zhanfei
dc.contributor.committeeMemberShank, Gerald C
dc.creatorGriffin, Claire Genevieve
dc.creator.orcid0000-0003-1944-6072
dc.date.accessioned2016-09-14T17:36:05Z
dc.date.accessioned2018-01-22T22:30:35Z
dc.date.available2016-09-14T17:36:05Z
dc.date.available2018-01-22T22:30:35Z
dc.date.issued2016-05
dc.date.submittedMay 2016
dc.date.updated2016-09-14T17:36:05Z
dc.description.abstractClimate-driven changes in Arctic hydrology and biogeochemistry are impacting transport of water and water-borne material from land to ocean. This includes massive amounts of organic matter that are mobilized and exported from the pan-Arctic watershed via rivers each year. Dissolved organic matter (DOM), an important part of the Arctic carbon cycle, has received growing attention in recent years, yet long-term studies of riverine biogeochemistry remain rare in these remote and logistically challenging regions. Remote sensing of chromophoric dissolved organic matter (CDOM, the portion of the DOM pool that absorbs light), provides a unique opportunity to investigate variations in DOM in major Arctic rivers over multiple decades. CDOM is a useful proxy for dissolved organic carbon (DOC) and is essential to photochemical processes in surface waters. This dissertation presents the development and application of remote sensing regression models across six major Arctic rivers: the Kolyma, Lena, Mackenzie, Ob’, Yenisey and Yukon. Frozen, archival samples of CDOM were used to develop calibration data for remote sensing regressions. Remote sensing methods estimated CDOM with R2 of 85% across all rivers, although individual rivers varied in their predictability in association with sediment loading and hydrology. As with previous studies of Arctic systems, concentrations and export of CDOM and DOC were highest during spring freshet in most of these rivers. Interannual variability in DOM export may be linked to the Arctic Oscillation. Within the Mackenzie, Ob’, and Yenisey rivers, observations of DOM concentration and export were extended back to the 1980s, the first known empirical records of this length for Arctic rivers that span both continents. Although no pan-Arctic trends in CDOM export were detected, there is some evidence of long-term changes in riverine DOM. For example, discharge-specific CDOM concentrations decreased in the Yenisey River and increased in the Ob’ River. Additionally, CDOM concentrations increased over the past ~30 years within the Mackenzie River. This dissertation also includes results from experiments used to quantify the effects of cryopreservation on CDOM analyses, and potential approaches for ameliorating freezing effects. These experiments showed that freezing for preservation introduces some error into CDOM measurements, although these effects vary between river systems. Sonication may improve CDOM measurements in some river systems, but the effects of both cryopreservation and sonication should be quantified on a case-by-case basis. Overall, this dissertation work demonstrates that 1) remote sensing of CDOM is a viable tool for tracking fluvial DOM in the major Arctic rivers, 2) only the Mackenzie River showed significant increases in CDOM concentration from the 1980s to present and 3) long-term changes in discharge-specific CDOM concentrations have occurred in the Yenisey and Ob’ rivers. These long-term trends cannot be definitively linked to climate change, but may be related to effects of warming on permafrost, hydrology, and biogeochemistry within in Arctic watersheds with consequences for carbon cycling on both regional and global scales.
dc.description.departmentMarine Science
dc.format.mimetypeapplication/pdf
dc.identifierdoi:10.15781/T28K74X4R
dc.identifier.urihttp://hdl.handle.net/2152/40312
dc.subjectArctic
dc.subjectDissolved organic matter
dc.subjectClimate change
dc.subjectRemote sensing
dc.subjectCarbon cycle
dc.subjectRivers
dc.titleDissolved organic matter in major rivers across the Pan-Arctic from remote sensing
dc.typeThesis
dc.type.materialtext

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