An adaptive management framework to control invasive annual brome grasses in Northern Great Plains parks (ABAM)
Invasion by annual brome grasses (cheatgrass and Japanese brome) and other exotic annual grasses into National Park Service units (parks) in the Northern Great Plains (NGP) impacts park ecological and historical landscape integrity. The Annual Brome Adaptive Management (ABAM) decision support tool (DST) was built to support vegetation management decision making, particularly regarding these invasive annual grasses, of seven NGP parks. The ABAM DST is based on scientific literature and 20 years of vegetation monitoring in the seven ABAM parks. In each year of an adaptive management cycle, the DST is updated with recent monitoring data, then used to quantify the state of the vegetation in each park management unit, compare the predicted outcomes of 10 different management actions for each of those units, and determine the optimal management action for the next year according to park managers’ relative acceptance of different vegetation states. Implementation of the ABAM framework and use of the DST in that framework began in 2021. USGS continues to work with NPS in refining the ABAM DST and exploring its implications for long-term vegetation management in NGP parks.
Adaptive management framework and decision support tool for invasive annual bromes in seven Northern Great Plains National Park Service units
A new decision support tool for collaborative adaptive vegetation management in northern Great Plains national parks
Invasion by annual brome grasses (cheatgrass and Japanese brome) and other exotic annual grasses into National Park Service units (parks) in the Northern Great Plains (NGP) impacts park ecological and historical landscape integrity. The Annual Brome Adaptive Management (ABAM) decision support tool (DST) was built to support vegetation management decision making, particularly regarding these invasive annual grasses, of seven NGP parks. The ABAM DST is based on scientific literature and 20 years of vegetation monitoring in the seven ABAM parks. In each year of an adaptive management cycle, the DST is updated with recent monitoring data, then used to quantify the state of the vegetation in each park management unit, compare the predicted outcomes of 10 different management actions for each of those units, and determine the optimal management action for the next year according to park managers’ relative acceptance of different vegetation states. Implementation of the ABAM framework and use of the DST in that framework began in 2021. USGS continues to work with NPS in refining the ABAM DST and exploring its implications for long-term vegetation management in NGP parks.