3:30 PM - 3:45 PM
[MIS14-07] Effects of Kanogawa River flooding on spatial and temporal dynamics of phytoplankton in the coastal waters of the Suruga Bay
Keywords:flooding events, riverine nutrients, phytoplankton, satellite data
We constructed the hierarchical Bayesian model to describe the space-time data of satellite chl.a concentrations in the Suruga Bay (obtained from MODIS-Aqua) during the 2003-2020 period by using the explanatory variables, such as light (PAR), temperature (SST) and major river flow (Q). The model comparison approach revealed that the river flow (Q) variable greatly increased the predictive performance for explaining the space-time chl.a data, implying that fluvial nutrient transport may be crucial for phytoplankton dynamics. The detailed spatial data of satellite chl.a concentrations (G-COMC/SGLI) obtained for 56 flooding events during the 2018-2021 period showed that in the Uchiura Bay (the NE part of the Suruga Bay), CDOM concentration (a proxy of river water), as well as the specific growth rate of phytoplankton, increased non-linearly with the increase of flood magnitude of the Kanogawa River. Moreover, the spatial extent of such flood-induced high productive areas spread over the entire area of the Uchiura Bay.
The present study revealed that the river-borne flux of volcanic nutrients from the Kanogawa River may control the spatio-temporal pattern of coastal primary productivity of the Suruga Bay. Moreover, the flooding events drastically increase such ecosystem functioning associated with the increase of river peak flow (up to ~1,000 m3/s of discharge). These results suggest that the river flow management should consider not only flooding prevention on lands but the improvement of ecosystem functioning of the downstream coastal ecosystems.
This research was supported by the River Works Technology Research and Development Program from the Ministry of Land, Infrastructure, Transport and Tourism, Japan.