Presentation Title

Methods in simulating nutrient stoichiometry, structure, and function - Sarracenia purpurea

Presenter's Name(s)

Lindsey PettFollow

Abstract

Alterations to nitrogen and phosphorous levels have led to numerous problems in aquatic ecosystems, specifically eutrophication. Due to large size of most aquatic systems it is difficult to model the fate of nutrients, specifically in regard to stoichiometry at varying scales. Sarracenia purpurea(Northern Pitcher Plant) can be used as a model system for an aquatic ecosystem due to the carnivorous pitcher containing a fully functioning ecosystem. Through experimental manipulations this model system can allow us to test. Prior to experiment implementation in any system it is advised to conduct preliminary studies simulating the full range of variation in measured variables and predicted parameters. We present here our work using Random Walk algorithms in Program R to simulate and graphically represent the full range of stoichiometries, structures, and functions within Sarracenia purpurea pitchers.

Primary Faculty Mentor Name

Nicholas Gotelli

Status

Graduate

Student College

College of Arts and Sciences

Program/Major

Biology

Primary Research Category

Biological Sciences

This document is currently not available here.

Share

COinS
 

Methods in simulating nutrient stoichiometry, structure, and function - Sarracenia purpurea

Alterations to nitrogen and phosphorous levels have led to numerous problems in aquatic ecosystems, specifically eutrophication. Due to large size of most aquatic systems it is difficult to model the fate of nutrients, specifically in regard to stoichiometry at varying scales. Sarracenia purpurea(Northern Pitcher Plant) can be used as a model system for an aquatic ecosystem due to the carnivorous pitcher containing a fully functioning ecosystem. Through experimental manipulations this model system can allow us to test. Prior to experiment implementation in any system it is advised to conduct preliminary studies simulating the full range of variation in measured variables and predicted parameters. We present here our work using Random Walk algorithms in Program R to simulate and graphically represent the full range of stoichiometries, structures, and functions within Sarracenia purpurea pitchers.