Expanding our knowledge of winter limnology is critical for managing lakes , reservoirs, and all freshwater resources in a future with shorter winters and less lake ice. In temperate latitudes, we have largely ignored winter as a season that impacts ecological processes, and it is unclear what ramifications the loss of lake ice will have on lake ecosystems. This project will combine long-term observational datasets, high-frequency buoy data, and an experimental approach to understanding the role of light availability in under-ice productivity

Climate change has impacted and will continue to impact indigenous peoples, their lifeways and culture, and the natural world upon which they rely, in unpredictable and potentially devastating ways. Many climate adaptation planning tools fail to address the unique needs, values and cultures of  indigenous communities. This Tribal Climate Adaptation Menu, which was developed by a diverse group of  collaborators representing tribal, academic, intertribal and government entities in Minnesota, Wisconsin and Michigan, provides a framework to integrate indigenous and traditional knowledge, culture, language and history into the climate adaptation planning process. The Tribal Climate Adaptation Menu is designed to work with the Northern Institute of  Applied Climate Science (NIACS) Adaptation Workbook, and as a stand-alone resource

The forests of the Northeastern United States are home to some of the greatest diversity of nesting songbirds in the country. Climate change, shifts in natural disturbance regimes, and invasive species pose threats to forest habitats and bird species in the northeastern United States and represent major challenges to natural resource managers.   Although broad adaptation approaches have been suggested for sustaining forested habitats under global change, it is unclear how effective the implementation of these strategies at local and regional scales will be for maintaining habitat conditions for a broad suite of forest-dependent bird species over time. Moreover, given the diversity in forest stakeholders across the Northeast region, it is unclear if the adaptation science needs for these stakeholders are fully captured by existing adaptation recommendations

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

Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date, assessments of the effects of climate change on fish have mostly ignored lakes, and focused instead on streams. Because surface waters represent a network of habitats, an integrated assessment of stream and lake temperatures under climate change is necessary for decision-making. This work  informed the preservation of lake/stream linkages, prioritization restoration strategies, and stocking efforts for sport fish. This project employed state-of-the-science methods to model historical and future thermal habitat for nearly ten thousand lakes

The goal of this project was to identify how winter severity, snowpack, and lake ice could change through the mid- and late-21st century, and how species such as the white-tailed deer and mallard duck will respond. Because currently available climate data is at too coarse a scale to provide information on future conditions for the Great Lakes, researchers transformed these models from a global-scale to a regional-scale. Using these models, researchers found that the region could experience substantial warming, reduced lake ice cover, and increased precipitation, with more precipitation falling as rain than snow, among other changes.