Draft: This site is a proof of concept

Definition

Adaptive Management is a systematic process to incorporate new and existing knowledge into management decisions (Williams et al., 2009). It is a learning based, iterative process to improve management decisions and actions, based on increasing understanding and active feedback between this learning and subsequent decision making (Williams, 2011).

The ten steps for programmatic and project adaptive management for implementing coastal restoration in Louisiana. View larger image.

Why We Need It

Long-term restoration and protection in Louisiana’s dynamic coastal environment requires an ongoing series of management actions based upon a growing knowledge base of research information, updated measurements of ecosystem responses, and evaluations of degrees of progress in reaching goals and targets (Davis & Ogden, 1994). In coastal Louisiana, the shifting baselines associated with ongoing land loss, sea-level rise and subsidence, as well as the periodic impact of tropical storms and hurricanes, mean that there is always uncertainty in the effect of programmatic and project restoration actions over time (Institute, 2013).

This tool aims to compile technical knowledge and guidance to assist with the implementation of programmatic and project adaptive management in Louisiana. It identifies critical linkage points and opportunities for knowledge and data transfers within, and between, agencies within Louisiana, primarily focusing on Coastal Protection and Restoration Authority (CPRA) and Louisiana Trustee Implementation Group (LA TIG).

Personal Implementation List

A comprehensive adaptive mangement reference tool which allows you to select your organization, phase, step, etc. and outputs the proper actions necessary and where they can be found.

Supporting Technical Manual

A compilation of knowledge and guidance categorized under organization, topic, and sub topic in order to provide concise, practical advice for carrying out projects using Adaptive Management in Louisiana.