Welcome to the Systems Ecology and Ecoinformatics Laboratory at the UNCW. The overarching goals of our work are

  1. to understand the lawful processes that create, constrain, and sustain ecological systems, and
  2. to develop a formal science of environment that we can use to comprehend the causes and consequences of both local and global environmental changes.

We use a variety of quantitative, computational and informatic methods to address questions like:

  • What role do indirect effects play in ecological interactions? How rapidly do they develop?
  • What processes are required to explain phytoplankton dynamics in the Ross Sea?
  • What makes an ecosystem sustainable?
  • How do we quantitatively predict environmental impacts?
  • What is environment?

If you are interested in learning more, joining us, or collaborating with us, please contact Dr. Stuart Borrett at borretts _at_ uncw _dot_ edu.


Congratulations to Dr. David Hines for successfully defending his doctoral dissertation!

Dr. Borrett co-taught a workshop on Ecological Network Analysis at ESA (#esa100). Here is a link to the workshop materials.

Congratulations to David Hines for being honored as one of the best teaching assistants in the College of Arts and Sciences!

Our paper titled Spatial heterogeneity in soil microbes alters establishment success of an introduced plant is now available from PLoS ONE.

Congratulations to David Hines on his recent paper "Estimating the effects of seawater intrusion on an estuarine nitrogen cycle by comparative network analysis" published in Marine Ecology Progress Series.

Dr. Borrett is teaching on HON120 on Network Science Fall 2015.

Our new article titled "enaR: an R package for Ecosystem Network Analysis" is now available at Methods in Ecology and Evolution.

Our paper "Rise of Network Ecology: Maps of the topic diversity and scientific collaboration" is available in Ecological Modelling (doi: 10.1016/j.ecolmodel.2014.02.019).

We've released version 2.8 of our enaR package for Ecosystem Network Analysis. It is now available from CRAN and this vignette shows how to use it. This package now includes a library of 100 ecosystem models.