AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. AmeriFlux is now one of the DOE Office of Biological and Environmental Research (BER) best-known and most highly regarded brands in climate and ecological research. AmeriFlux datasets, and the understanding derived from them, provide crucial linkages between terrestrial ecosystem processes and climate-relevant responses at landscape, regional, and continental scales. Scientific Questions What are the magnitudes of carbon storage and the exchanges of energy, CO2 and water vapor in terrestrial systems? What is the spatial and temporal variability? How is this variability influenced by vegetation type, phenology, changes in land use, management, and disturbance history, and what is the relative effect of these factors? What is the causal link between climate and the exchanges of energy, CO2 and water vapor for major vegetation types, and how does seasonal and inter-annual climate variability and anomalies influence fluxes? What is the spatial and temporal variation of boundary layer CO2 concentrations, and how does this vary with topography, climatic zone and vegetation?
The foundation of conserving a species is monitoring its abundance and habitat. This proposed work has three objectives which will help monitor green sturgeon abundance and understand green sturgeon habitat selection. These objectives build on 12 years of work to support the recovery of green sturgeon. The first objective is to continue the annual green sturgeon spawner census, while also improving our methods. This census is the main piece of information used in monitoring and assessing the Delta resident green sturgeon population. The second objective is to assess spawner site selection and habitat use which will help better understand sturgeon environmental needs so that restoration can better target those needs. The third objective is to assess the relationship between spring flow rates, temperature, and number of spawners observed, which will help managers better understand sturgeon flow cues and improve the accuracy of our spawner census.