Dear Colleague, We sincerely invite you to submit to our session Improving Ecohydrological Modeling Across Multiple Scales: Linking Key Processes and Feedbacks Across the Microorganisms-Climate Cascade at the American Geophysical Union (AGU) Fall Meeting.
Please find the session description below: Climate change poses a threat to global ecosystems. However, large uncertainties associated with quantifying and predicting feedbacks of ecosystems impacted by a changing climate remain, due to responses that operate across disparate spatio-temporal scales. Recently, studies have uncovered crucial mechanisms at the fine scale that greatly impact processes at the landscape scale. For example, the structure and function of microbial communities at the fine scale can impact biogeochemical cycling at the ecosystem scale, with consequences for future microbial community emergence. Similarly, landscape vegetation patterns emerge due to fine scale resource flow feedbacks between vegetation and environment. These vegetation patterns can impact spatial distribution of resource pools, which in turn, impact land-atmosphere biogeochemical fluxes. This session intends to provide a forum to discuss how data and models can be integrated to characterize and improve the coupling between processes at different scales and better predict the interactions across the microorganisms-climate cascade. This session is under the Biogeosciences section, co-sponsor by Global Environmental Change and Hydrology. SWIRL Theme: Computational Methods across Scales: Personal to High Performance Platforms More information on session can be found at: https://agu.confex.com/agu/fm14/webprogrampreliminary/Session3487.html Our current invited speakers include: 1. Eoin Brodie, Lawrence Berkeley National Laboratory. On genome enabled watershed modeling. 2. Stefano Manzoni, Swedish University of Agricultural Sciences. Scaling up microbial water stress from soil pore to plot scale. 3. Ryan Knox, Lawrence Berkeley National Laboratory. An Evaluation of Processes Critical to Predicting the Carbon Sink of Natural Tropical Forests in a Demographic Vegetation Model. We look forward to your contributions towards this exciting area in ecohydrological modeling. Yours Sincerely, Conveners Yiwei Cheng (Lawrence Berkeley National Laboratory) Nicholas Bouskill (Lawrence Berkeley National Laboratory) Jinyun Tang (Lawrence Berkeley National Laboratory)
