Distribution of region-specific background Secchi depth in Tokyo Bay and Ise Bay, Japan

Abstract Region-specific background Secchi depth (BSD) provides valuable information on light availability in aquatic ecosystems. We estimated BSD in two eutrophic bays located in central Japan, Tokyo Bay and Ise Bay. Estimates were based on monitoring data collected in the period 1981–2015. Reliable BSD estimates were obtained for 89–96% and 67–94% of the monitoring sites in Tokyo Bay and Ise Bay, respectively. Low BSD values were obtained in the innermost sectors of Tokyo Bay (around the Nakagawa, Arakawa and Sumidagawa estuaries) and Ise Bay (around the Shonaigawa, Kisogawa and Ibigawa estuaries). BSD was positively correlated with salinity in both bays, indicating that river-supplied substances, including tripton and/or colored dissolved organic matter, strongly influenced BSD values. Although the highest chlorophyll a concentrations were measured in the innermost sectors of both bays, the proportional contribution of phytoplankton to light attenuation was surprisingly low in comparison with other sectors of the two water bodies. In both bays, phytoplankton accounted for

[1]  T. Yamamoto,et al.  The Seto Inland Sea--eutrophic or oligotrophic? , 2003, Marine pollution bulletin.

[2]  W. Vant Causes of light attenuation in nine New Zealand estuaries , 1990 .

[3]  J. Sasaki,et al.  Modeling of Mud Accumulation and Bed Characteristics in Tokyo Bay , 2008 .

[4]  Elena Litchman,et al.  Phytoplankton growth and the interaction of light and temperature: A synthesis at the species and community level , 2016 .

[5]  A. Kasai,et al.  The Role of Circulation in the Development of Hypoxia in Ise Bay, Japan , 2002 .

[6]  B. Håkansson,et al.  Long‐term trends in Secchi depth in the Baltic Sea , 1996 .

[7]  J. Carstensen,et al.  Recovery of Danish Coastal Ecosystems After Reductions in Nutrient Loading: A Holistic Ecosystem Approach , 2015, Estuaries and Coasts.

[8]  B. Olesen Regulation of light attenuation and eelgrass Zostera marina depth distribution in a Danish embayment , 1996 .

[9]  David G. Borkman,et al.  Non-linear Responses of a Coastal Aquatic Ecosystem to Large Decreases in Nutrient and Organic Loadings , 2011 .

[10]  U. Sommer,et al.  Light as a driver of phytoplankton growth and production in the freshwater tidal zone of a turbid estuary , 2011 .

[11]  Jiangtao Xu,et al.  A simple empirical optical model for simulating light attenuation variability in a partially mixed estuary , 2005 .

[12]  Edward J. Phlips,et al.  Chlorophyll a, tripton, color, and light availability in a shallow tropical inner-shelf lagoon, Florida Bay, USA , 1995 .

[13]  N. Welschmeyer Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments , 1994 .

[14]  T. Okuda,et al.  Spatial and temporal distributions of Secchi depths and chlorophyll a concentrations in the Suo Nada of the Seto Inland Sea, Japan, exposed to anthropogenic nutrient loading. , 2016, The Science of the total environment.

[15]  K. Ichimi,et al.  Optically active components and light attenuation in an offshore station of Harima Sound, eastern Seto Inland Sea, Japan , 2013, Hydrobiologia.

[16]  M. Yamamuro,et al.  Long-term change in water transparency before and after the loss of eelgrass beds in an estuarine lagoon, Lake Nakaumi, Japan , 2007, Limnology.

[17]  M. Pahlow,et al.  Global patterns of phytoplankton nutrient and light colimitation inferred from an optimality‐based model , 2014 .

[18]  Jon Barry,et al.  Relationships between suspended particulate material, light attenuation and Secchi depth in UK marine waters , 2008 .

[19]  T. Okuda,et al.  Historical changes in primary production in the Seto Inland Sea, Japan, after implementing regulations to control the pollutant loads , 2018 .

[20]  Michael R. Roman,et al.  Eutrophication of Chesapeake Bay: historical trends and ecological interactions , 2005 .

[21]  H. Claustre,et al.  Variability in the chlorophyll‐specific absorption coefficients of natural phytoplankton: Analysis and parameterization , 1995 .

[22]  A. Jassby,et al.  Ecosystem variability along the estuarine salinity gradient: Examples from long‐term study of San Francisco Bay , 2017 .

[23]  Satoru Taguchi,et al.  Variability in chlorophyll a specific absorption coefficient in marine phytoplankton as a function of cell size and irradiance , 2002 .

[24]  A. Kasai,et al.  Fortnightly shifts of intrusion depth of oceanic water into Ise Bay , 2004 .

[25]  S. Doney,et al.  Spatial and temporal trends in summertime climate and water quality indicators in the coastal embayments of Buzzards Bay, Massachusetts , 2015 .

[26]  Tetsuji Okuda,et al.  Determination and distribution of region-specific background Secchi depth based on long-term monitoring data in the Seto Inland Sea, Japan , 2018 .

[27]  Marcel Babin,et al.  Relating phytoplankton photophysiological properties to community structure on large scales , 2008 .

[28]  W. Dennison,et al.  Long-Term Trends of Water Quality and Biotic Metrics in Chesapeake Bay: 1986 to 2008 , 2010 .

[29]  Wkw Li,et al.  Phytoplankton growth and regulation in the Labrador Sea: light and nutrient limitation , 2008 .

[30]  K. Furuya,et al.  Size and species-specific primary productivity and community structure of phytoplankton in Tokyo Bay , 2000 .

[31]  John J. Cullen,et al.  Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient , 2002 .

[32]  J. Cloern Why large cells dominate estuarine phytoplankton , 2018 .

[33]  Lars Chresten Lund-Hansen,et al.  Diffuse attenuation coefficients Kd(PAR) at the estuarine North Sea–Baltic Sea transition: time-series, partitioning, absorption, and scattering , 2004 .