Gibbonss: Difference between revisions
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Generally, I am interested in how simple deterministic interactions can give rise sophisticated emergent behaviors. I want to apply the tools and techniques used in | 1) Generally, I am interested in how simple deterministic interactions can give rise sophisticated emergent behaviors. I want to apply the tools and techniques used in dynamical systems theory and statistical physics to ecology and evolution. In particular, I am currently investigating the relationship between ecosystem disturbance and community diversity, the non-linear dynamics of ecological communities at transition points between alternative stable states, reconstructing ecological pressures based on their imprints on genome evolution, and deconstructing metagenomic patterns along changing environmental gradients. | ||
I am a microbial ecologist, with expertise in molecular ecology, ecological theory, systems biology, multivariate statistics, metagenomics, biogeochemistry, and bioinformatics. | 2) I am a microbial ecologist, with expertise in molecular ecology, ecological theory, systems biology, multivariate statistics, metagenomics, biogeochemistry, and bioinformatics. | ||
I hope to gain a better understanding the theory and math surrounding complex systems science. I'm looking forward to seeing the common threads that tie together disciplines. | 3) I hope to gain a better understanding the theory and math surrounding complex systems science. I'm looking forward to seeing the common threads that tie together disciplines. | ||
I recently started thinking about using Taylor's Law as a measure of stability in ecological systems, using spatial data sets (rather than longitudinal data). | 4) I recently started thinking about using Taylor's Law as a measure of stability in ecological systems, using spatial data sets (rather than longitudinal data). | ||
Taylor's Law is a power-law commonly invoked in ecology: log(variance in species abundance) = a * log(mean of species abundance)^b | Taylor's Law is a power-law commonly invoked in ecology: log(variance in species abundance) = a * log(mean of species abundance)^b | ||
Joel Cohen has suggested that as the exponent (b) approaches zero, the system approaches a critical transition. | Joel Cohen has suggested that as the exponent (b) approaches zero, the system approaches a critical transition. | ||
Revision as of 20:33, 20 May 2014
1) Generally, I am interested in how simple deterministic interactions can give rise sophisticated emergent behaviors. I want to apply the tools and techniques used in dynamical systems theory and statistical physics to ecology and evolution. In particular, I am currently investigating the relationship between ecosystem disturbance and community diversity, the non-linear dynamics of ecological communities at transition points between alternative stable states, reconstructing ecological pressures based on their imprints on genome evolution, and deconstructing metagenomic patterns along changing environmental gradients.
2) I am a microbial ecologist, with expertise in molecular ecology, ecological theory, systems biology, multivariate statistics, metagenomics, biogeochemistry, and bioinformatics.
3) I hope to gain a better understanding the theory and math surrounding complex systems science. I'm looking forward to seeing the common threads that tie together disciplines.
4) I recently started thinking about using Taylor's Law as a measure of stability in ecological systems, using spatial data sets (rather than longitudinal data). Taylor's Law is a power-law commonly invoked in ecology: log(variance in species abundance) = a * log(mean of species abundance)^b Joel Cohen has suggested that as the exponent (b) approaches zero, the system approaches a critical transition.