The first phase of this project developed an online platform to enable rapid sharing and cataloging of silviculture case studies documenting adaptive forest management approaches across MI, MN, Ontario, and WI.  The goal was to create a clearinghouse of information for forest managers across the region to disseminate ideas on addressing emerging issues and tracking effectiveness of a given approach.  The Prescription Library serves as the basis for regional continuing education offerings for natural resource professionals throughout Michigan, Minnesota, Ontario, and Wisconsin. The project initiated in late March 2014 and now shares over 120 case studies in adaptive silviculture through the Prescription Library platform. These case studies cover Minnesota, Ontario, and Wisconsin and demonstrate a range of silvicultural approaches to address current and emerging issues related to the sustainable management of forests in the Great Lakes region.

Given the increasing impacts of climate change and natural disturbances on forest ecosystems across the US, there is a need for monitoring systems that allow for accurate and rapid detection of historic and future changes in forest area and carbon stocks. This collaborative project between UMN, USFS, and NASA is piloting a Monitoring, Reporting, and Verification (MRV) accounting system that could be used within the context of the National Greenhouse Gas Inventory baseline reporting to the UN Framework Convention on Climate Change. To accomplish this, baseline biomass density and historic data about forest change derived from Landsat and LIDAR information are being combined with USFS Forest Inventory and Analysis monitoring system to provide annual estimates of forest C stock and stock change from 1990 to present for several regions of the US

This project examines the ecological impacts of several introduced and expanding forest insects and diseases on forest habitats across the northeastern US and upper Lake States region.  To address these novel threats, this work applies large-scale, co-developed experimental studies documenting impacts of ash mortality from emerald ash borer on lowland black ash communities in the Lake States and northern hardwood forests in New England; regional assessments of the impacts of the climate change-mediated expansion of southern pine beetle into northeastern pine barren communities; and ecological characterizations of areas experiencing suppression efforts to reduce the spread of the introduced Asian long-horned beetle in central New England and Ohio. Included in this work are the evaluation of co-developed adaptation strategies for mitigating impacts of these and other invasive species in combination with future effects of climate change.

This project is using a combination of long-term data records and recently established large-scale adaptive management studies in managed forests across the Lake States, New England, Intermountain West, and Black Hills to identify forest management strategies and forest conditions that confer the greatest levels of resistance and resilience to past and emerging stressors and their relevance in addressing future global change.  This work represents a broad partnership between scientists from the USFS Northern Research Station, USFS Rocky Mountain Research Station, USGS, University of MN,  University of Maine, and Dartmouth College in an effort to capitalize on over 50 years of data collection on USFS Experimental Forests and Forest Inventory and Analysis plot to evaluate forest adaptation strategies

This project aimed to quantify the range in variability in forest dynamics and climate responses for range-margin populations of Pinus banksiana and Picea mariana so as to generate management guidelines for conserving these forests on the landscape in an uncertain climatic future.  These species are the cornerstone for several upland and lowland habitat types on the western edge of the Northeast CSC and are particularly vulnerable to future changes in climate and disturbance regimes.  This project took advantage of extensive dendrochronological and forest community data to determine the drivers and future dynamics of key demographic processes for these tree species