Fall 2016

Fall 2016 Seminars

A-340  Earth & Marine Sciences Building
Fridays, 10:40 - 11:45 a.m. (unless otherwise noted)

Seminar Coordinator: Andy Moore ammoore@ucsc.edu 

For disability-related accommodations: call (831) 459-4730 or email rrobison@ucsc.edu

    September 23

  • Welcome Party

  • September 30

  • Mike Jacox, Assistant Project Scientist, NOAA NMFS

    ENSO and the California Current System: Historical Impacts, Potential Predictability, and the 2015-16 El Niño

  • October 7

  • No Seminar

  • October 14

  • No Seminar

  • October 21

  • Cindy Pilskaln, Professor University of Massachusetts

    Recent Climate Change Impacts on the Gulf of Maine

    The Gulf of Maine is experiencing substantial decadal changes in water column biogeochemical characteristics and planktonic-benthic ecosystem structure and function. Such transformations are believed to be the result of global anthropogenic forcing with acute effects on the North Atlantic region. To examine linkages between drivers, stressors and specific impacts on the biogeochemical system and ecology, various multi-year chemical and biological data sets collected from time-series moorings, research cruises and satellite surveys in the Gulf of Maine, will be presented and discussed.     

  • October 28

  • Robert Jinkerson, Simons Fellow of the Life Sciences Research Foundation, Stanford

    Systems biology of marine microalgae for increasing biofuel production and probing symbiosis

    Microalgae in the oceans contribute immensely to primary productivity and global biogeochemical cycles. The traits that make these organisms so important ecologically also make them of interest for biotechnological purposes. I will present efforts to understand, engineering, and utilize marine algae, such as Nannochloropsis and Symbiodinium, to produce products such as biofuels and to probe Cnidarian-algal symbiosis.

  • November 4

  • Li Erikson, USGS

    Arctic Barrier Island – Lagoon systems; how they may be transformed in a warming climate 

    The eastern Arctic Alaska coast is characterized by nearly 600 kilometers of shallow estuarine lagoons and barrier islands that are highly valued by migratory birds and fish. However, shorelines are eroding at rapid rates and environmental forcing conditions are changing, potentially leading to new biological succession trajectories. To gain a better understanding of Arctic coast vulnerabilities, we model and examine future oceanic storm events and their impacts on a barrier island and lagoon affected by a warming climate. 

  • November 11


  • November 18

  • Yiwei Cheng, Postdoctoral Fellow at Lawrence Berkeley National Laboratory

    A Trait Based Dynamic Energy Budget Approach to Explore Emergent Microalgal Community Structure

    Microalgae play important roles in the global carbon budget and have shown promise as future vectors of biofuel. Recently, it has been proposed that functionally diverse microalgal-bacterial communities can achieve higher biomass and/or lipid yields, and are more stable (less susceptible to invasion) than monocultures. In an effort to improve mechanistic understanding of microalgal community structuring, and prediction of the optimal microalgal community assemblage towards achieving higher productivity under prevailing environmental conditions, a trait based dynamic energy budget modeling framework was developed. The model was used to explore emergent microalgal community structure under various environmental (e.g. light, nutrient availability) conditions. 

  • November 25


  • December 2

  • Alexander Stine, Assistant Professor at San Francisco State University

    Climate reconstructions from tree rings without all the noise

    The starting point for most climate reconstruction based on tree rings is to measure a large number of trees and to average these measurements to reduce noise. This implies a conceptual model for tree growth that is at odds with standard models of plant growth. We introduce an alternative method for reconstructing climate from tree rings that is motivated by Lieblig's Law of the Minimum that appears to systematically increase signal to noise ratios.