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dc.contributor.authorGiesbrecht, Ian
dc.contributor.authorTank, Suzanne
dc.contributor.authorFrazer, Gordon W.
dc.contributor.authorHood, Eran
dc.contributor.authorGonzalez Arriola, Santiago G.
dc.contributor.authorButman, David E.
dc.contributor.authorD'amore, David V.
dc.contributor.authorHutchinson, David
dc.contributor.authorBidlack, Allison Lynn
dc.contributor.authorLertzman, Ken P.
dc.date.accessioned2023-03-13T22:49:00Z
dc.date.available2023-03-13T22:49:00Z
dc.date.issued2022-01-28
dc.identifier.citationGiesbrecht, I. J., Tank, S. E., Frazer, G. W., Hood, E., Gonzalez Arriola, S. G., Butman, D. E., D’Amore, D. V., Hutchinson, D., Bidlack, A., & Lertzman, K. P. (2022). Watershed classification predicts streamflow regime and Organic Carbon Dynamics in the northeast pacific coastal temperate rainforest. Global Biogeochemical Cycles, 36(2). https://doi.org/10.1029/2021gb007047en_US
dc.identifier.urihttp://hdl.handle.net/11122/13152
dc.description.abstractWatershed classification has long been a key tool in the hydrological sciences, but few studies have been extended to biogeochemistry. We developed a combined hydro-biogeochemical classification for watersheds draining to the coastal margin of the Northeast Pacific coastal temperate rainforest (1,443,062 km2), including 2,695 small coastal rivers (SCR) and 10 large continental watersheds. We used cluster analysis to group SCR watersheds into 12 types, based on watershed properties. The most important variables for distinguishing SCR watershed types were evapotranspiration, slope, snowfall, and total precipitation. We used both streamflow and dissolved organic carbon (DOC) measurements from rivers (n = 104 and 90 watersheds respectively) to validate the classification. Watershed types corresponded with broad differences in streamflow regime, mean annual runoff, DOC seasonality, and mean DOC concentration. These links between watershed type and river conditions enabled the first region-wide empirical characterization of river hydrobiogeochemistry at the land-sea margin, spanning extensive ungauged and unsampled areas. We found very high annual runoff (mean > 3,000 mm, n = 10) in three watershed types totaling 59,024 km2 and ranging from heavily glacierized mountain watersheds with high flow in summer to a rain-fed mountain watershed type with high flow in fall-winter. DOC hotspots (mean > 4 mg L−1, n = 14) were found in three other watershed types (48,557 km2) with perhumid rainforest climates and less-mountainous topography. We described four patterns of DOC seasonality linked to watershed hydrology, with fall-flushing being widespread. Hydro-biogeochemical watershed classification may be useful for other complex regions with sparse observation networks.en_US
dc.description.sponsorshipAuthor Contributions: Conceptualization: Ian J. W. Giesbrecht, Suzanne E. Tank, Gordon W. Frazer, Eran Hood, David E. Butman, David V. D’Amore, Allison Bidlack, Ken P. Lertzman Data curation: Ian J. W. Giesbrecht, Santiago G. Gonzalez Arriola, David Hutchinson Formal analysis: Ian J. W. Giesbrecht, Gordon W. Frazer, Santiago G. Gonzalez Arriolaen_US
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.subjectwatershed classificationen_US
dc.subjecthydrological sciencesen_US
dc.subjectcoastal temperate rainforesten_US
dc.subjectstreamflowen_US
dc.subjectrunoffen_US
dc.titleWatershed Classification Predicts Streamflow Regime and Organic Carbon Dynamics in the Northeast Pacific Coastal Temperate Rainforesten_US
dc.typeArticleen_US
dc.description.peerreviewYesen_US
refterms.dateFOA2023-03-13T22:49:01Z
dc.identifier.journalGlobal Biogeochemical Cyclesen_US


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