European Geosciences Union General Assembly 2017

  • Start: Apr 23, 2017
  • End: Apr 28, 2017
  • Host: Markus Reichstein, Dorothea Frank, Sönke Zaehle, Miguel Mahecha, Thomas Wutyler, Marion Schrumpf, Sujan koirala
European Geosciences Union General Assembly 2017

BG1.5/CL2.33 Climate extremes, biosphere and society: impacts and feedbacks (co-organized)
(Co-)Convener: Markus Reichstein; Dorothea Frank
This session explores the linkages between climate extremes, biosphere and societal dynamics. I.e. emphasis is laid on 1) what impacts are caused by climate extremes on various aspects of the biosphere (incl. e.g. productivity, biogeochemical cycling, biodiversity) and society (e.g. political, economic aspects), and 2) which feedbacks exist amplifying or moderating the intensity, duration or extent of climate extremes. Empirical, theoretical and modelling studies from local to global scale are all highly welcome.


BG2.21 Plant traits and biogeochemical cycles
23–28 April 2017
Co-convener: Markus Reichstein, Sönke Zaehle
Plant traits extend the range of earth observations to the level of individual organisms, providing a link to ecosystem function and modeling in the context of rapid global changes. However, overcoming the differences in temporal and spatial scales between plant trait data and biogeochemical cycles remains a challenge. This session will address the role of plant species, biodiversity and adaptation / acclimation in the biogeochemical cycles of water, carbon, nitrogen and phosphorus. We welcome conceptual, observational, experimental and modeling approaches, and studies from the local to the global scale, including e.g. remote sensing observations.


IE3.1/BG9.58 Information extraction from satellite Earth observations using data-driven methods (co-organized)

23–28 April 2017
Co-convener: Miguel Mahecha
As we progress through an exponential increase in satellite data availability, this session aims to bring researchers together to discuss the current state in big data and machine learning applications to Earth sciences and remote sensing. We aim to both (a) discuss current efforts, and (b) identify common challenges for the future. We encourage authors to submit presentations on: machine learning applied to geosciences and remote sensing, data-driven methods to analyse spatiotemporal dynamics and causal relationships in Earth observations, enlightening opinions about interface between mathematics and climate science.

SSS6.6/BG9.53 Carbon-nutrient cycle interactions in soil (co-organized)

23–28 April 2017
(Co-)Convener:Thomas Wutzler; Marion Schrumpf
Elemental cycles of carbon, nitrogen, phosphorous, and other nutrients are intimately linked by soil organic matter (SOM) and the narrow stoichiometric flexibility of decomposers. Current environmental changes, such as increasing atmospheric CO2 concentrations, nitrogen (N) deposition, and land management affect elemental ratios and amount of matter inputs along with the decomposer community. Hence, in order to understand the important consequences for soil carbon (C) storage and nutrient cycling, a better understanding of C-nutrient cycle interactions in soil systems is required. The understanding of those interactions is challenged by complex relations among biological and abiotic drivers including microbial ecophysiology, resource-use efficiency, enzymatic reactions, and stoichiometric constraints, and it is also challenged by the need to integrate processes at several scales. This session welcomes presentations addressing these interactions and challenges. It welcomes insights from experimental lab and field works, as well as theoretical and applied modelling perspectives.


HS1.14/CL2.16 Hydroclimatology: joint synthesis of hydro-eco-meteorological data (co-organized)

23–28 April 2017
(Co-)convener:Sujan Koirala
The steadily growing observational archives with a diverse data ranging from point-scale in-situ observations to regional-to-global remote sensing products have a potential to provide an unprecedented view of the underlying physical processes at many spatial and temporal scales. The true worth of these data archives will, however, only come forth when they are meaningfully applied to test and address practical and scientific research questions.
Therefore, this session invites contributions encompassing:

  • Theory advancing hydroclimatological analysis,
  • Data-Driven Approaches,
  • Model-data integration



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