University of Florida

Overview

Developing effective approaches for managing invasive species can likely be advanced through an adaptive management (AM) framework, i.e., one where management decisions are improved over time because they are based on an enhanced understanding of the system gleaned from periodic monitoring, structured experimentation and modeling. With the participation of a network of National Wildlife Refuges, we are developing and implementing an AM framework for the management of reed canary grass (Phalaris arundinacea) and for the recovery of these impacted ecosystems after its removal. Through AM, the goal of this project is to generate the information needed for refuge managers to make good and defensible decisions about when, where, and how to treat RCG for purposes of maintainging or restoring target communities and the wildlife they support (RCG Workshop Problem Statement, July 2006).

We expect this research to generate the following products:

  1. a functional frame-based model that can be used by refuges to guide long-term RCG control,
  2. long-term RCG management recommendations for each refuge and recommendations for future AM projects, and
  3. protocols for data collection suitable as long-term monitoring protocols for refuges.

 

Reed Canary Grass
Reed Canary Grass