Problem Solver

Vincent Gutschick

Vincent Gutschick

Areas Vincent Gutschick is Knowledgeable in:

* Optimal crop (ideotype) design (trait selection and introgression) and management, esp. in areas of growth, water- and N-use efficiency, stress tolerance, and responses to extreme events. * Similarly, for non-crop systems (lightly-managed forests, wild land), the assessment of water use, stress levels, and responses to extreme events, for the estimation of water resources and fire risk. * For wild land to crops: estimation of biogeographic changes being driven by climate and CO2 change, using deeper knowledge of physiology and evolutionary biology. * Climate change (and direct effects of CO2 and any geoengineering) - amelioration (particularly by introduction of green technologies) and adaptation. * LIfe-cycle assessment of energy technologies for net energy yield (including all capital energy use) and climate/environmental impacts; this includes evaluation in the large of claims by proponents of new technologies

Techniques Vincent Gutschick Uses:

From my Ph. D. work in chemical physics, I have retained a command of many mathematical modeling tools. I typically begin a study with a process-bases model, whose predictions I take as hypotheses to test. Consequently, I have done lab, greenhouse, and field testing in diverse areas of crop and wild plant physiology and ecology. Because I have worked in diverse areas of biology, chemistry, and physics, I can apply many broad perspectives, which I then focus. My CV, which can be inspected on my Website, supports the breadth of my toolset, in that I have published in approximately 25 different journals in many different fields and I have been a referee for nearly 30 different journals in an equally diverse set of scientific fields.

Vincent Gutschick's Problem Solving Skills:

  1. Life-cycle energy technology assessment
  2. Photography in field and lab - macro to aerial (no photomicrography)
  3. Plant physiological ecology
  4. Plant physiology
  5. Crop water use and aspects of irrigation optimization
  6. Mathematical optimization modeling
  7. Remote sensing applications to water resources issues
  8. Physiological modeling
  9. Biofuels assessment (energy and environmental impacts)
  10. Chemical physics
  11. Electronics - design, construction, and operation of small sensor systems
  12. Web programming (moderate)
  13. Physical modeling of systems (resource fluxes in air and soil; plant physiological processes; energy technologies)

Vincent Gutschick's Problem Solving Experience:

  1. Predicting improved yield of soybeans with reduced chlorophyll content, based on coupled models of plant physiology, light interception, and environmental responses; validated by Peters et al. at the University of Illinois (8% gains); alas, farmers fail to accept light-colored crops
  2. Providing an evolutionary and ecological framework to understand the patterns of how plants acquire and use nitrogen as a nutrient; this is applicable to the design of crop ideotypes, including the recognition of important tradeoffs among traits that may be bred in
  3. Quantitative estimation of control of water use by plant physiological traits - to apply in crop optimization programs
  4. Early analyses of energy transfer among chlorophyll molecules in the photosynthetic apparatus of plants, using principles of quantum mechanics
  5. Establishing limits for the improvement of crop water-use efficiency by breeding for physiological traits
  6. Establishing a comprehensive new framework for assessing the effects of extreme events on biological systems, particularly plants. This includes initial estimates of (disturbing) diversity in individual-species responses and our inability to predict the responses a` priori by what are termed functional groups of plant species.
  7. Design of patented light sensors to measure light interception on moving plant leaves, for physiological and agronomic studies
  8. Improved remote-sensing estimation of water use by crops and wildland, including errro/sensitivity analyses
  9. Quantifying limits of adaptations to low-nutrient stresses in a paradigmatic plant species (sunflower, a ruderal)
  10. Providing quantitative physiological estimates of the effects of elevated CO2 on plant performance, including losses in protein content
  11. Mathematical formulation and programming of models for predicting (and analyzing) leaf water use in response to the environment, coupling advanced models of stomatal control, photosynthesis, energy balance, and gas transport
  12. Complete design, construction, and operation of: electronic sensors for field research on plant ecophysiology; extensive modification of portable photosynthesis system; a high-throughput hydroponic system for studies of plant responses to very low nutrient levels