Respiration regimes in rivers: Partitioning source-specific respiration from metabolism time series

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dc.contributor.authorBertuzzo, Enricoen
dc.contributor.authorHotchkiss, Erin R.en
dc.contributor.authorArgerich, Albaen
dc.contributor.authorKominoski, John S.en
dc.contributor.authorOviedo-Vargas, Dianaen
dc.contributor.authorSavoy, Philipen
dc.contributor.authorScarlett, Rachelen
dc.contributor.authorvon Schiller, Danielen
dc.contributor.authorHeffernan, James B.en
dc.date.accessioned2022-10-05T17:04:58Zen
dc.date.available2022-10-05T17:04:58Zen
dc.date.issued2022-09en
dc.description.abstractRespiration in streams is controlled by the timing, magnitude, and quality of organic matter (OM) inputs from internal primary production and external fluxes. Here, we estimated the contribution of different OM sources to seasonal, annual, and event-driven characteristics of whole-stream ecosystem respiration (ER) using an inverse modeling framework that accounts for possible time-lags between OM inputs and respiration. We modeled site-specific, dynamic OM stocks contributing to ER: autochthonous OM from gross primary production (GPP); allochthonous OM delivered during flow events; and seasonal pulses of leaf litter. OM stored in the sediment and dissolved organic matter (DOM) transported during baseflow were modeled as a stable stock contributing to baseline respiration. We applied this modeling framework to five streams with different catchment size, climate, and canopy cover, where multi-year time series of ER and environmental variables were available. Overall, the model explained between 53% and 74% of observed ER dynamics. Respiration of autochthonous OM tracked seasonal peaks in GPP in spring or summer. Increases in ER were often associated with high-flow events. Respiration associated with litter inputs was larger in smaller streams. Time lags between leaf inputs and respiration were longer than for other OM sources, likely due to lower biological reactivity. Model estimates of source-specific ER and OM stocks compared well with existing measures of OM stocks, inputs, and respiration or decomposition. Our modeling approach has the potential to expand the scale of comparative analyses of OM dynamics within and among freshwater ecosystems.en
dc.description.notesThe authors would like to thank two anonymous Reviewers, the Associate Editor, and the Editor-in-Chief for their insightful and constructive comments. This work was initiated at the Heterotrophic Regimes workshop in Ovronnaz, Switzerland. We thank Tom Battin and Amber Ulseth for helping organize the workshop, and workshop participants for useful feedback on early conceptions of this model. Metabolism, temperature, and flow data for Walker Branch were provided by Brian Roberts and Natalie Griffiths and funded by the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program. The authors acknowledge Patrick Mulholland and Brian Roberts for conducting the original Walker Branch study that serves as the foundation for much of our current work characterizing multi-annual stream metabolism dynamics. This project was supported by the Respiration Regimes in River Networks Workshop (NSF DEB #1832012), and the StreamPULSE project (; NSF DEB# 1442439). Daniel von Schiller is a Serra Hunter Fellow and was additionally supported by project Alter-C (PID2020-114024GB-C31) funded by MCIN/AEI/. Alba Argerich was supported by USDA NIFA McIntire-Stennis Project #MO-MCNR0008. This is contribution #1484 from the Institute of Environment at Florida International University.en
dc.description.sponsorshipU.S. Department of Energy, Office of Science, Biological and Environmental Research Program; NSF DEB [1442439, 1832012]; USDA NIFA McIntire-Stennis Project [MO-MCNR0008]; MCIN/AEI [PID2020-114024GB-C31]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/lno.12207en
dc.identifier.eissn1939-5590en
dc.identifier.issn0024-3590en
dc.identifier.urihttp://hdl.handle.net/10919/112081en
dc.language.isoenen
dc.publisherWileyen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectleaf-litter decompositionen
dc.subjectorganic-matteren
dc.subjectecosystem metabolismen
dc.subjectstream metabolismen
dc.subjectcarbon fluxesen
dc.subjectalpine streamen
dc.subjectco2 emissionsen
dc.subjectdynamicsen
dc.subjecttemperatureen
dc.subjectphytoplanktonen
dc.titleRespiration regimes in rivers: Partitioning source-specific respiration from metabolism time seriesen
dc.title.serialLimnology and Oceanographyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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