Spatial and temporal evolution of the St. Lawrence River spectral profile: A 25-year case study using Landsat 5 and 7 imagery

Abstract Underwater light characteristics (quality and quantity) are important drivers of many ecological processes in aquatic systems. However, the mechanisms driving the underwater light climate in large rivers are poorly understood due to the complex interactions among color-producing agents (CPAs), which can vary in space and time. A compelling example of such a complex interaction among CPAs concerns the St. Lawrence River, where chromophoric dissolved organic matter and suspended inorganic particulate matter interact to structure the underwater spectral environment. Because such interactions can be complex, the combined net effect of CPAs on water color is not intuitive and remains to be evaluated. To resolve the spatial and temporal dynamics of the spectral profile in the St. Lawrence River, we analyzed a series of 44 Landsat 5 and 7 images, distributed between 1984 and 2009, which cover the main freshwater section of the river. Rather than following linear trends along the longitudinal axis, the spectral profiles on spectral bands (blue, green and red) presented three distinctive spatial patterns. We argue that matter injected by tributaries and discontinuous zones of the river strongly impacts water color by modulating the balance among CPAs. We also clearly demonstrate a marked trend between 1984 and 2009 toward decreasing reflectance values on bands 1, 2 and 3, presumably in response to changes in land use in the surrounding watershed.

[1]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[2]  P. Massicotte,et al.  Spatial connectivity in a large river system: resolving the sources and fate of dissolved organic matter. , 2011, Ecological applications : a publication of the Ecological Society of America.

[3]  M. Canty,et al.  Automatic radiometric normalization of multitemporal satellite imagery , 2004 .

[4]  V. Muggeo Estimating regression models with unknown break‐points , 2003, Statistics in medicine.

[5]  Y. Sheng,et al.  Relative influence of various water quality parameters on light attenuation in Indian River Lagoon , 2003 .

[6]  J. Lapierre,et al.  Colorful Niches of Phytoplankton Shaped by the Spatial Connectivity in a Large River Ecosystem: A Riverscape Perspective , 2012, PloS one.

[7]  C. Gallegos Optical water quality of a blackwater river estuary: the Lower St. Johns River, Florida, USA , 2005 .

[8]  P. Gagnon,et al.  Budget and sources of suspended sediment transported in the St. Lawrence River, Canada , 2000 .

[9]  J. Franco,et al.  Main characteristics of the water masses , 2004 .

[10]  J. Wiens Riverine landscapes: taking landscape ecology into the water , 2002 .

[11]  André Morel,et al.  In-water and remote measurements of ocean color , 1980 .

[12]  R. Ma,et al.  Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing , 2006 .

[13]  P. J. Werdell,et al.  An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation , 2005 .

[14]  A. Roy,et al.  Changes in riparian habitats along five major tributaries of the saint Lawrence river, QuÉbec, Canada: 1964–1997 , 2008 .

[15]  A. S. Mahiny,et al.  A comparison of four common atmospheric correction methods , 2007 .

[16]  Robert P. Bukata,et al.  Satellite Monitoring of Inland and Coastal Water Quality: Retrospection, Introspection, Future Directions , 2005 .

[17]  T O Siew-Yan-Yu,et al.  Régionalisation du régime des précipitations dans la région des Bois-francs et de l'Estrie par l'analyse en composantes principales , 1998 .

[18]  Daniel R. Miller,et al.  The Network Dynamics Hypothesis: How Channel Networks Structure Riverine Habitats , 2004 .

[19]  Margaret A. Palmer,et al.  Lakes and streams as sentinels of environmental change in terrestrial and atmospheric processes , 2008 .

[20]  William J. Volchok,et al.  Radiometric scene normalization using pseudoinvariant features , 1988 .

[21]  D. Gratton,et al.  Hydrodynamic control of the underwater light climate in fluvial Lac Saint‐Pierre , 2006 .

[22]  Jean Morin,et al.  Spectral gradients of downwelling light in a fluvial lake (Lake Saint-Pierre, St-Lawrence River) , 2004, Aquatic Ecology.

[23]  Seston fatty acid composition and copepod RNA:DNA ratio with respect to the underwater light climate in fluvial Lac Saint-Pierre , 2012, Aquatic Sciences.

[24]  M. Muggeo,et al.  segmented: An R package to Fit Regression Models with Broken-Line Relationships , 2008 .

[25]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[26]  E. Stanley,et al.  Optical water quality in rivers , 2008 .

[27]  R. Carignan,et al.  Cumulative impacts of hydrology and human activities on water quality in the St. Lawrence River (Lake Saint-Pierre, Quebec, Canada) , 2008 .

[28]  Philippe Forget,et al.  Colour classification of coastal waters of the Ebro river plume from spectral reflectances , 2001 .

[29]  W. McDowell,et al.  Spatial and temporal variations in DOM composition in ecosystems: The importance of long‐term monitoring of optical properties , 2008 .

[30]  L. Prieur,et al.  Analysis of variations in ocean color1 , 1977 .

[31]  Jean Morin,et al.  From pristine to present state: hydrology evolution of Lake Saint-François, St. Lawrence River , 1998 .

[32]  C. Gallegos,et al.  Calibration of a Bio-optical Model in the North River, North Carolina (Albemarle–Pamlico Sound): A Tool to Evaluate Water Quality Impacts on Seagrasses , 2008 .

[33]  Conghe Song,et al.  Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon , 2006 .

[34]  B. Osborne,et al.  Light and Photosynthesis in Aquatic Ecosystems. , 1985 .

[35]  Jean‐François Quessy,et al.  Temporal variability modes of floods for catchments in the St. Lawrence watershed (Quebec, Canada). , 2010 .

[36]  M. Delong,et al.  The riverine ecosystem synthesis: biocomplexity in river networks across space and time , 2006 .

[37]  R. Carignan,et al.  Sediment dynamics in the fluvial lakes of the St. Lawrence River: accumulation rates and characterization of the mixed sediment layer , 2000 .

[38]  Charles L. Gallegos,et al.  Optical Water Quality of Inland Waters: A Landscape Perspective , 2013 .

[39]  Effects of the change from forest to agriculture land use on the spatial variability of summer extreme daily flow characteristics in southern Quebec (Canada) , 2011 .

[40]  Anne-Catherine Favre,et al.  Statistical inference in Lombard's smooth‐change model , 2011 .

[41]  M. Turner,et al.  LANDSCAPE ECOLOGY : The Effect of Pattern on Process 1 , 2002 .

[42]  Stephen P. Rice,et al.  Tributary control of physical heterogeneity and biological diversity at river confluences , 2006 .

[43]  P. Gagnon,et al.  Spatial Analysis of Production by Macrophytes, Phytoplankton and Epiphyton in a Large River System under Different Water-Level Conditions , 2007, Ecosystems.

[44]  C. Hudon,et al.  Downstream variations of phytoplankton in the St.Lawrence River (Québec, Canada) , 1996, Hydrobiologia.

[45]  Daniel N. Miller,et al.  Confluence effects in rivers: Interactions of basin scale, network geometry, and disturbance regimes , 2004 .

[46]  S. Vicente‐Serrano El Niño and La Niña influence on droughts at different timescales in the Iberian Peninsula , 2005 .