This report describes Ecosystem Monitoring Project accomplishments during October 1, 2018 to September 30, 2019, or Year 15 of this on-going project. For a background on the project since its inception in 2003, please see previous years' annual reports.
This report describes Ecosystem Monitoring Project accomplishments during October 1, 2017 to September 30, 2018, or Year 14 of this on-going project. For a background on the project since its inception in 2003, please see previous years' annual reports.
This report describes Ecosystem Monitoring Project accomplishments during October 1, 2016 to September 30, 2017, or Year 13 of this on-going project. For a background on the project since its inception in 2003, please see previous years' annual reports.
This report describes Ecosystem Monitoring Project accomplishments during October 1, 2015 to September 30, 2016, or Year 12 of this on-going project. For a background on the project since its inception in 2003, please see previous years' annual reports.
This report describes Ecosystem Monitoring Project accomplishments during October 1, 2014 to September 30, 2015, or Year 11 of this on-going project. For a background on the project since its inception in 2003, please see previous years' annual reports.
Abstract Dams, increasingly common in riverine systems worldwide, are particularly prevalent on the Columbia River (CR) in the United States. Hydroelectric projects, including both storage and run‐of‐river (i.e., minimal storage) structures, on the mainstem CR highly manage water flow, often by releasing water over (rather than through) dams as “spill.” To test the effects of run‐of‐river dam spill on microplankton abundance
Abstract Large river estuaries experience multiple anthropogenic stressors. Understanding plankton community dynamics in these estuaries provides insights into the patterns of natural variability and effects of human activity. We undertook a 2-year study in the Columbia River Estuary to assess the potential impacts of abiotic and biotic factors on planktonic community structure over multiple time scales.
Abstract Phytoplankton form the base of pelagic food webs, and as aquatic systems come under increasing pressure from environmental stressors, managers are becoming more concerned about how these pressures may result in changes to phytoplankton distribution and abundance. The vertical distribution of phytoplankton, including the phenomenon of subsurface chlorophyll a (Chl-a) maxima (SCM), is known to vary widely, with a combination of biotic and abiotic processes hypothesized to be driving this variation.
