PAMF is the first basin-wide application of adaptive management to address the issue of non-native Phragmites. People often use the term adaptive management to refer to management that involves planning, implementing, and evaluating management activities. It also includes predictions about how a resource is expected to change in response to management efforts. We use adaptive management when we need to make repeated management decisions over time because this gives us the opportunity to learn from our results and improve our predictive capabilities.
This definition of adaptive management is used by the U.S. Department of Interior and is based on the fundamentals of decision science where learning from management outcomes can improve management guidance over time. With the assistance of a predictive model, PAMF can scientifically learn about the response of Phragmites as the order and timing of treatment combinations change due to site conditions or management constraints. A large-scale effort like PAMF benefits from many management activities taking place around the Great Lakes basin, making the learning process quicker and more efficient. This means that treatment guidance is constantly improving and helping us identify the most effective and efficient management.
PAMF is a new approach to managing Phragmites in the Great Lakes basin that can provide a number of benefits to land managers, researchers, and other stakeholders.
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Anyone managing non-native Phragmites in the Great Lakes basin can participate in PAMF. Through PAMF, experienced land managers can efficiently share their knowledge and expertise while those new to Phragmites management can find science-based support and guidance. Learn how to join PAMF here.
PAMF staff can be available to:
• deliver presentations and webinars
• organize site visits to demonstrate the monitoring protocol
• answer questions and respond to inquiries
• provide print materials for your next event
Please contact: Karen Alexander, Senior Program Specialist, Great Lakes Commission at email@example.com - 734-971-9135