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.


The SEE Lab is delighted to Welcome Mr. Evan Anway as a new graduate student in the lab.

Dr. Borrett and Dr. Lau taught a tutorial on Ecological Network Analysis at the International Society for Ecological Modelling Global Conference 2016 in May. Click here for the schedule and materials.

Congratulations to Matt Lau on his recent publication: Genotypic variation in foundation species generates network structure that may drive community dynamics and evolution in the journal Ecology!

We were happy to host our colleague Oksana Buzhdygan for a week in January!

Dr. Borrett is an invited presenter at the 2016 ECSA 56 Meeting in Bremen, Germany, and he is planning to attend the 2016 EcoSummit meeting. Hope to see you there!

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.

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.