The Influence of Hydrologic Residence Time on Lake Carbon Cycling Dynamics Following Extreme Precipitation Events
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The frequency and magnitude of extreme events are expected to increase in the future, yet little is known about effects of such events on ecosystem structure and function. We examined how extreme precipitation events affect exports of terrestrial dissolved organic carbon (t-DOC) from watersheds to lakes as well as in-lake heterotrophy in three north-temperate lakes. Extreme precipitation events induced large influxes of t-DOC to our lakes, accounting for 45–58% of the seasonal t-DOC load. These large influxes of t-DOC influenced lake metabolism, resulting in lake net heterotrophy following 67% of the extreme precipitation events across all lakes. Hydrologic residence time (HRT) was negatively related to t-DOC load and heterotrophy; lakes with short HRT had higher t-DOC loads and greater net heterotrophy. The fraction of t-DOC mineralized within each lake following extreme precipitation events generally exhibited a positive relationship with lake HRT, similar to the previous studies of fractions mineralized at annual and supra-annual time scales. Event-associated turnover rate of t-DOC was higher than what is typically reported from laboratory studies and modeling exercises and was also negatively related to lake HRT. This study demonstrates that extreme precipitation events are ‘hot moments’ of carbon load, export, and turnover in lakes and that lake-specific characteristics (for example, HRT) interact with climatic patterns to set rates of important lake carbon fluxes.
Keywordslake heterotrophy hydrology lake metabolism carbon cycling hydrologic residence time synchrony extreme precipitation events
We thank the University of Notre Dame Environmental Research Center for hosting our study. The chemical analyses were conducted at the Center for Environmental Science and Technology at University of Notre Dame. Technical assistance was provided by J. J. Coloso, A. Searle, K. Roberts, L. Raaf, E. Golebie, B. Conner, S. McCarthy, E. Mather, S. Elser, C. J. Humes, J. Lerner, and M. F. Ebenezer. Discussions with M.M. Dee and comments from J. F. Lapierre and one anonymous reviewer significantly improved the manuscript. This work was supported by the National Science Foundation Graduate Research Fellowship under NSF DGE-1313583 to JAZ and NSF award DEB-1547866 to SEJ.
- Caraco N, Cole J. 2004. When terrestrial organic matter is sent down the river: the importance of allochthonous carbon inputs to the metabolism of lakes and rivers. In: Polis GA, Power ME, Huxel GR, Eds. Food webs at the landscape level. Chicago: The University of Chicago Press. p 301–16.Google Scholar
- Coumou D, Rahmstorf S. 2012. A decade of weather extremes. Nat Clim Change 2:491–6.Google Scholar
- ESRI (Environmental Systems Resource Institute). 2012. ArcMap 10.1. Redlands, CA: ESRI.Google Scholar
- Garrabou J, Coma R, Bensoussan N, Bally M, Chevaldonné P, Cigliano M, Diaz D, Harmelin JG, Gambis MC, Kertsting DK, Ledoux JB, Lejeusne C, Linares C, Marschal C, Pérez T, Ribes M, Romano JC, Serrano E, Teixido N, Torrents O, Zabala M, Zuberer F, Cerrano C. 2009. Mass mortality in Northwestern Mediterranean rocky benthic communities: effects of the 2003 heat wave. Global Change Biol 15:1090–103.CrossRefGoogle Scholar
- Kent AD, Yannarell AC, Rusak JA, Triplett EW, McMahon KD. 2007. Synchrony in aquatic microbial community dynamics. Int Soc Microb Ecol 1:38–47.Google Scholar
- R Core Team. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from http://www.R-project.org/.
- Read EK, Patil VP, Oliver SK, Hetherington AL, Brentrup JA, Zwart JA, Winters KM, Corman JR, Nodine ER, Woolway RI, Dugan HA, Jaimes A, Santoso AB, Hong GS, Winslow LA, Hanson PC, Weathers KC. 2015. The importance of lake-specific characteristics for water quality across the continental United States. Ecol Appl 25:943–55.CrossRefPubMedGoogle Scholar
- Reichstein M, Ciais P, Papale D, Valentini R, Running S, Viovy N, Cramer W, Granier A, Ogée J, Allard V, Auginet M, Bernhofer C, Buchmann N, Carrara A, Grünwald T, Heimann M, Heinesch B, Knohl A, Kutsch W, Loustau D, Manca G, Matteucci G, Miglietta F, Ourcival JM, Pilegaard K, Pumpanen J, Rambal S, Schaphoff S, Seufert G, Soussana JF, Sanz MJ, Vesala T, Zhao M. 2007. Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis. Global Change Biol 13:634–51.CrossRefGoogle Scholar
- Rusak JA, Yan ND, Somers KM, McQueen DJ. 1999. The temporal coherence of zooplankton population abundances in neighboring north-temperate lakes. Am Nat 153:46–58.Google Scholar
- Solomon CT, Bruesewitz DA, Richardson DC, Rose KC, Van de Bogert MC, Hanson PC, Kratz TK, Larget B, Adrian R, Babin BL, Chiu CY, Hamilton DP, Gaiser EE, Hendricks S, Istvánovics V, Laas A, O’Donnell DM, Pace ML, Ryder E, Staehr PA, Torgersen T, Vanni MJ, Weathers KC, Zhu G. 2013. Ecosystem respiration: drivers of daily variability and background respiration in lakes around the globe. Limnol Oceanogr 58:849–66.CrossRefGoogle Scholar
- Vollenwieder RA. 1975. Input-output models with special reference to the phosphorus loading concept in limnology. Schweiz Z für Hydrol 37:53–84.Google Scholar