Dear colleagues, We invite colleagues to submit abstracts to the special session '*A synthesis of freshwater ecosystem metabolism*' at the joint ASLO-NABS 2010 summer meeting in Santa Fe, New Mexico on June 6-11 2010 ( http://aslo.org/santafe2010/). The official call for papers will be announced in the coming weeks, and the deadline for abstract submission is 12 February 2010.
For more information, please contact co-chairs Denise Bruesewitz ( [email protected]) or David Richardson ([email protected]). NABS-ASLO 2010 special session: 'A synthesis of freshwater ecosystem metabolism: Gross primary production, community respiration, and net ecosystem production in streams, rivers, and lakes.' Measurements of ecosystem metabolism, such as gross primary production, community respiration, and net ecosystem production are valuable integrators of ecosystem function in freshwater habitats. These measurements are capable of incorporating variation that stems from trophic status, organic matter inputs, catchment land use, geographic variation, food web structure, and other ecosystem characteristics. Consequently, ecosystem metabolism is routinely measured in systems ranging from small urban streams to Artic lakes. Comparison of studies from these diverse environments could provide new insights into freshwater ecosystem function. This session will focus on integrating ecosystem metabolism research from stream, river, and lake ecosystems. While the measurement of metabolism brings forth unique challenges in each ecosystem, advances in environmental sensor and remote sensing technology have facilitated calculation of ecosystem metabolism and associated metrics at both a broader spatial range of sites and at a finer, more frequent temporal scale. A discussion of trends across freshwater ecosystem types may result in improved understanding across the diversity of systems being studied. We hope to identify common controls of metabolism as well as sources of spatial and temporal variability that span freshwater ecosystems. Submissions based on both traditional and novel models for calculating metabolism are encouraged.
